How To Stay Employed In The Robotic Future | Alex Shoolman | Skillshare

How To Stay Employed In The Robotic Future

Alex Shoolman, Teacher to thousands in 175 countries!

How To Stay Employed In The Robotic Future

Alex Shoolman, Teacher to thousands in 175 countries!

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31 Lessons (5h 30m)
    • 1. Promo Video

    • 2. Section 1 - 1 - Welcome

    • 3. Section 2 - 1 - AI, Robotics And You

    • 4. Section 2 - 2 - The Many Forms Of Automation

    • 5. Section 2 - 3 - From One Job To Many

    • 6. Section 3 - 1 - The Accelerating World

    • 7. Section 3 - 2 - Laws And Industry Can't Keep Up

    • 8. Section 3 - 3 - The Knee Of The Curve

    • 9. Section 4 - 1 - Out With The Old

    • 10. Section 4 - 2 - Continuous Learning

    • 11. Section 4 - 3 - Learning Where Nobody Has Learned Before

    • 12. Section 5 - 1 - The Strategy That Beats The Robots

    • 13. Section 5 - 2 - Future Forecasting

    • 14. Section 5 - 3 - Identifying Your New Position

    • 15. Section 5 - 4 - A Silky Smooth Transition

    • 16. Section 5 - 5 - Happily Ever After

    • 17. Section 6 - 1 - Cybersecurity - Industry Overview

    • 18. Section 6 - 2 - Cybersecurity - Industry Future And Focal Points

    • 19. Section 6 - 3 - Cybersecurity - Future Employment Opportunities And Example

    • 20. Section 7 - 1 - Self Driving Cars - Industry Overview

    • 21. Section 7 - 2 - Self Driving Cars - Industry Future And Focal Points

    • 22. Section 7 - 3 - Self Driving Cars - Future Employment Opportunities And Example

    • 23. Section 8 - 1 - Drones - Industry Overview

    • 24. Section 8 - 2 - Drones - Industry Future And Focal Points

    • 25. Section 8 - 3 - Drones - Future Employment Opportunities And Example

    • 26. Section 9 - 1 - Solar, Wind And Batteries - Industry Overview

    • 27. Section 9 - 2 - Solar, Wind And Batteries - Industry Future And Focal Points

    • 28. Section 9 - 3 - Solar, Wind And Batteries - Future Employment Opportunities And Example

    • 29. Section 10 - 1 - Nanotechnology

    • 30. Section 10 - 2 - Genetics

    • 31. Section 10 - 3 - Machine Learning

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About This Class

Why do some people get a promotion while others get made redundant?

What do they know that you don't?

I believe that using technology and putting effort into the right things can help change a person's life forever, leading them to live a richer, healthier and happier life. For many though, the future has a lot of uncertainty in it with the unavoidable reality that many will lose their job to automation.

If this course helps you to avoid a lost job, it will have paid for itself 1,000 times over.


A Simple Strategy To Always Staying Employed

Master the strategy that top performers use to turn disruptive technologies into incredible advantages, successful career opportunities and lasting happiness

Course Description

Using a simple four part strategy I teach how to discover these new technologies and figure out if your job is going to be disrupted very early on. I demonstrate in multiple different examples how to use this strategy to always have a fantastic and secure job for the future. No matter what career you're in, no matter how much experience you have, no matter what job you're looking for.

That way you can continue to stay employed as the world develops around you, growing richer and staying happier for longer.

LESS WORRYING: Never be made redundant again!
A RICHER LIFE: Recognise disruptive tech and use it to your advantage
MORE CONFIDENCE: Learn to distinguish between disruptive and useless technologies
A STEP AHEAD: Get critical insights into new tech early on that improves your work and life
INSIGHT: Know years in advance of everyone else what issues your job might have

Being made redundant by your company can not only cost you tens of thousands of dollars, it can also be severely depressing and damaging emotionally.

This course can not only help to prevent this horrible scenario from ever happening, but will also enable you to find out about fantastic new technologies that can help you become more efficient or open up opportunities that you never even knew existed.

How To Stay Employed In The Robotic Future is brought to you by Alex, an Engineer, Scientist and technology writer that has been helping people get the best out of technology and finances for over 5 years.


With simple steps and clear demonstrations you can learn how to discover emerging technologies, become an expert on them and assess whether or not they will be a threat to your job. With hours and hours of one on one videos you'll learn exactly how to setup the right systems and the precise strategy behind ensuring you never get taken by surprise again.

This course can help you save TENS OF THOUSANDS of dollars, a huge amount of long term stress and emotional trauma all by preventing you from being made redundant even just ONCE in your lifetime.

Best of all, this course will be with you right from the basics, all the way up to advanced strategy and will lead to a more relaxing, calmer life without you worrying about being given the boot day after day.

What You Will Get

  • 5+ Hours of Full HD videos with the entire strategy
  • Confidence that you know your job is safe
  • A new ability to monitor and stay up to date with all the new technologies
  • Not just vague descriptions but specific, step-by-step instructions that cover everything
  • A huge advantage that will keep you employed even when your industry is threatened
  • Four sections on huge industries of the future and how you can get employed in them

A Taste Of What You Will Learn

  • What types of AI, Robotics and Automation currently exist - and no, they're not humanoid ones
  • The effects AI, Robotics and Automation have on the workforce... and I'm not talking about in the future either!
  • Why industries and especially laws are having huge issues too
  • The astonishing fact about how fast tech is changing - most people are oblivious to this!
  • The types of changes that are being seen in education and learning... and why they're important even if you've finished Uni
  • What continuous learning is and why top performers do it
  • A step-by-step strategy for setting up and monitoring emerging technologies
  • How to know if an emerging new technology is stupid or critical
  • How to use new technology to get a promotion - even if you're new to the workforce
  • How to identify new opportunities quickly and efficiently
  • A new way to structure your life so you're never unemployed again
  • How to recognise when your job will be made redundant (HINT: Top performers are experts at this and can see it coming a mile away!)


Meet Your Teacher

Teacher Profile Image

Alex Shoolman

Teacher to thousands in 175 countries!


Hi, I'm Alex Shoolman.

I've helped people across 170+ countries pay off their mortgage in under 10 years with amazing results. Thousands have read my material to learn how to improve their life for the better.

From discovering the latest key developments in Energy & Transport to learning how to automate your finances or get the most out of your DJI Drone. I teach how you can take advantage of new technology as well as prepare for the future. This isn't just with Skillshare classes, but with dozens of free guides that you can find on my main website:


Check out my How To Pay Off A Mortgage Early course and learn why paying a $400,000 mortgage off in 10 years instead of 30 will save you&nb... See full profile

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1. Promo Video: Hi, I'm Alex for Malik schulman dot com. And welcome to this fantastic course on how to stay employed in the very boarding future. I'm an Australian teacher and brighter. That's been helping people do everything from paying off their mortgage in under 10 years, all the way to flying there during safely and getting some fantastic photos and videos. I've taught over 5000 students from over 170 different countries, and I've had hundreds of thousands of people read my material to really try and make their life better. Help them with a variety of things. After completing this course, we will have learned a great deal that some of the most cutting edge technologies and industries out there today you'll learn why they're so important as well as where they're hitting in the future. We'll also be covering a lot of information on disruptions that happened previously so that you're better able to recognize and predict them in the future. If you can recognize them properly, you can actually use thes disruptions to your advantage by creating really successful in fantastic Korea opportunities, insuring that you're never made redundant again. The end result is a life where you can continuously be employed and base successful, even during these really, really disruptive Tom's that we're experiencing as a quick overview. This course contains what ai automation and robotics currently exists today, as well as how to be different. What most people sort of a shoe more think it is, what continuous learning is and why it's so important today, as well as why top performers always make sure that they do it. I had to actually tell whether an emerging technology or disruption is actually something that's really critical and might actually disrupt your industry. Or if it's something you don't need to worry about, the main strategy itself, of course, which helps to teach you to find and monitor these disruptive technologies as well as use them and make sure that they don't actually disrupt your career, leave you without a job, as well as four separate industry argues, which covers both the current state of the industry as well as a future state over and also a live example off the strategy in each of those four industries and much, much more designed and built this course from the ground up. For those that are worried about their job or even entire industry, from becoming automated or severely disrupted now or in the future. This course has a simple, step by step strategy to ensure that you never lose your job or get made redundant, and in turn can use that disruption to your advantage. So don't leave it too late. Disruption can happen very quickly in today's world. And even if this course only helps you to avoid one job loss in your entire career, it will have paid for itself 1000 times. So in role today, learn about the strategy that top performers used to turn disruption into amazing advantages You. 2. Section 1 - 1 - Welcome: Hey, gang, I'm Alex from alec schulman dot com. And welcome to this fantastic course on how to stay employed in the robotics future. Sir, if you come here, you're probably a little bit worried about potentially AI taking your job in the future or some type of automation. Perhaps your industry is in decline doodle new technology, and you're worried about where your job might be in the future. Now this is totally understandable. Every sort of time you turn around, it seems like the news is talking about self driving cars taking jobs or robots taking manufacturing jobs. Or, you know, this Hollywood movies that show machines taking over the world and killing everyone. And you've got lots and lots of publicity's and lots and lots of news from things like, you know, the Terminator, where they kill everyone in the world to the Matrix, where they killed most people in the world to other, less killing ones. I think there was a I which had, you know, an AI child with an AI six baht or something like that, and there were searching for something, but in all of it, it shows a future where there's a I Robotics, essentially taking over at the very least, a lot of people's jobs and a lot of people's lives. So it's very understandable that you might be worried or at least a little bit nervous about where your job might be in the future. Now, if your or up to speed on where robotics is, where automation is the current state of you know, learning and education and how that's all been affected over the past sort of 10 2030 years , that's all fine. Skip ahead to Section five, where I start to dive directly into the strategy behind this course you'd after. Listen to me, bring everyone else up to speed. If you're not fully aware about all those things about where automation is currently about learning and lots of stuff, stick with me and I'll cover that starting in the next section. For now, I just want to give a quick overview of the course, so we've got those next three sections, as a said, broadly covering the current state of automation, current state of education and learning, and how that's being changed over the past couple years, as well as how the government and laws and does business in general, is reacting to those changes in the past 10 2030 years and help. It's changed a lot of things, even in just the parts, not not even looking at the future, just the past. So we'll cover that in Section five. If you want to give head straight to that, that's where I'll cover. The main strategy from end to end will be going through each of the parts so that you fully understand it properly. And then after that, Section five will be going through four separate examples of four separate industries where I'll be covering where they currently are, what new opportunities they might have in the future but also go through most importantly, an example in each one of them showing you how to use that strategy and how to apply it to an example. Industry 1234 So this is really important to sort of see how this strategy works and actually give examples over because one of the main parts of it is identifying the new technology or the new whiz bang thing and being able to analyse whether or not it's important and serious and has a potential really impact your job or whether it's to something stupid. And there's quite a lot of stupid stuff out there. There's people using AI to generate those little love candy hearts and producing quite hilarious results like Do Me and Stank Love You Are Babe. Always weird things. There's robots that are flipping hamburgers at stores that's currently as well called flippy, which is quite cute. But you know, even those have extra hilarious things, whether I'll do a shift and then instantly go on a four day break, you know, very typical of your usual hamburger flipping worker, but lots of stupid stuff out there. And it's very hard to distinguish between the stupid and the actual serious because very occasionally, something that might start out sounding stupid actually turns out to be very, very important and is taken up by a lot of people. So that will be one of the main things that will be talking as well as all the other aspects off the strategy. So to begin with will go into the first section, which is on the current state of robotics and just automation and that kind of technology. It's very different I find toe what most people sort of having the head. They'll have this idea of where technology is it might be really far in the future might be stuck in the past or something, but usually it's quite wrong. So I'll chat to you in the next section about that, and we'll get straight into the course, so I talk to you then. 3. Section 2 - 1 - AI, Robotics And You: Hey, going and welcome to Section two says that the first part of the actual course content and in this part will be covering the effects that automation, robotics and just AI in general have had on the workforce so far. So to get right into it, I will say that unfortunately will have to be a little bit negative in this. I don't usually like to be negative, not very productive, but in this case, unfortunately, we do have to go over a bit of history, and it is a bit negative. So to begin with, automation and robotics has unfortunately, had quite a huge effect on the workforce and to flat out ignore it and to stick your head in the sand. It's not a very good idea. It comes out with a very bad scenario. Everyone remembers cardiac, I hope, our fantastically huge film company. They made the old style 35 mil film roles. They actually invented the digital camera, what I'm using to record this on right now. They invented that technology. I believe they might have also had a Peyton on it as well, but they didn't see that step going. You know that step from 35 feel 35 mil film to digital camera. They completely ignored it. They stuck their head in the sand. They didn't want to know about it. And what happened to him? They got absolutely destroyed. And this is what happens to companies and people that just ignore that new technology. And you cannot do it for this reason because you end up far, far worse than what you would have. And just coincidentally, I was actually quite hilarious. Speaking about the 35 mil. Film recently went into a camera store the other day, and behind them on the shelf they had rows and rows and rows of that 35 mil film, and I was like, What the hell? You know who is buying this film? It's 2030 years out of date. Who's buying this? And apparently, according to them, I was actually, it's actually still very popular at weddings. People like to have them on the table and take photos in this 35 mil film. Who knew? I thought that was a bit bizarre. So is this it? One of the very first things we want to cover is the this effect that AI Robotics automation is having on the workforce. And the reason I wanted to cover this is because a lot of people, when you ask them about robotics, when you ask him about automation, they're concerned about it. As I said before now, nervous about this technology, they think that in the future, you know, they're gonna come. They're gonna take the job. It's gonna be very bad. We have to watch out for their own agreement about that. But they miss a very critical point, and that's that. They think it's happening in the future, and by all means, it certainly will be happening in the future. But what they don't often know is that it's been happening for decades, has been happening already, and this can be seen a number of different things. If you have a look here, you can see a graph off the S and P 500 which are just uses a roundabout way for showing recessions and recoveries in the general economy. As you say, there's been a number of recessions and a number of recoveries on what usually happened. What used to happen in the far past is that you would have one of these recessions. You know, things would go down. Times would be bad. Everyone would. Not everyone but a lot of people would get fired. That would lose their job to this, you know, huge drain on the economy. And that was always a very negative thing. But what would happen as the economy started recovering from that huge crosses or recession is that those people that got laid off prior would start getting rehired again. And, you know, you can measure this in terms of the time it took for 100% of the workforce to be fired and to say, 60%. And then whatever it might have been and then for them to be slowly hired up again to that same 100% point and that, you know, space would obviously take maybe months, maybe years. Howard long talks on what they're seeing now with the advent off automation and robotics is that that same trend happens? You know, it doesn't stop jf sees or anything like that. Like the head in the two in 2000 and eight. Things go bad, everything goes self. Lots of people lose their jobs, unfortunately, but as the time goes on, that rate at which the people get rehired again, as you can see here, extends and extends with each reception that goes by. So where is it might have taken two years or one year before to get back to that same 100% point. Now it's taking upwards off six years with the previous GFC that happened back in 2008. So this is because when those companies fire those people and they have to still, you know, serve their clients and all that sort of stuff, they start using automation and robotics to try and be more efficient and get better while still saving money. And as a result, those people don't that used to do that job, don't get hired when they come back, or, at the very least, they get hired at a much lower and slower right. And if this trend continues, its projected that when the next GFC 2.0 comes around and there's another crosses, which, you know, we're almost sort of ready for it now. It's been a good 10 plus years since 2000 and eight, so the cycle was getting close again when that recession or that big, you know, crosses hits again. It's gonna take upwards of 10 years to get back to that same result that it took six years back in 2000 and eight. So this is a major concern, and this is something that is as a set already being happening. It's not something in the future that you need to, you know, not really worry backs. It's only affecting you in the future. This is already happening, and that's something that a lot of people don't realize now. As I said, I don't like to be negative. Usually it's not very productive, but in this case it is very important because if we ignore that passed away, ignore what's actually happening now. In reality, it's not a particularly good base to go off and plan for the future. You can't just ignore reality as cardiac very helpfully showed us because you will get absolutely trashed. So in the next section I'll be covering about the current state of automation and robotics , and I think they'll be quite a few surprises in there for you as well, so I'll have a chat with you then 4. Section 2 - 2 - The Many Forms Of Automation: Hey, going and welcome to this second part. So here we're gonna go through what actually exists with robots and automation and robotics . So to begin with, most people, when they think about robots, when you say, think about robots, they think of actual little literal robots. You know, again like the Terminator, big honking metal people walking around that are robots. And while this is, you know, cool for Hollywood to show movies off your think about in the future, traditionally speaking currently now it's really not a good representation Adul about robot automation or AI in terms of stealing your job. There's not any, you know, full scale humanoid, very bored, literally stealing anyone's job. And a lot of people think this when they see those types of reports that say that you know , automation is coming to steal your job. They think, Well, I haven't seen any of these full scale robots walking around. It must be, you know, crap. That must be something for the future. And that's why they push it out of the future and not really care about interestingly, even in, like proper manufacturing environments where they're, you know, a lot of people assume robots physical robots are gonna be stealing their job. Even then. It's not usually full scale humanoid robots. Most of the time, it's just sort of arm type of devices that will be going back and forth. There is the one case with Baxter, who is actually quite a advanced robot, and that's a humanoid robot from the waist upwards in terms of actual full humanoid robot there. Anyone I've really ever seen that comes close is the one from Boston Dynamics, which you may or may not have seen walking around looking all cool, doing backflips, picking up boxes. It's quite amazing technology, but it's not what is actually in factories. It is not what is displacing people from their jobs. At most, it is a robotic arm or possibly at the absolute most from the torso up. So because people have never seen this full scale humanoid robot literally taking someone's job, they assume that it's something for the future. They don't worry about it, and they put it out of that mind, which is a very, very big mistake. The reason for this is that, as I said, this isn't something that's happening in the future not only is happening now, but it's happened in the past as well. You probably see robots and automation every single day, yet you don't see it as robots and automation explicitly stealing someone's job. I'm sure you've been to groceries where you see those self check out things. They are actually robotics, essentially in the form of a computer. Sure, there is you as a customer, helping a little bit for the input, but it is displacing someone's job where they used to be. 10 or 15 you know, check out people that were scanning your groceries manually. Now there might be one or two of them. Another person, you know, guarding a whole bunch of these self check out registers. And that's it. It's gone from maybe 10 people working there down to three with help off human end, a slight bit of automation. It's displaced a number of jobs, and you can find examples like this all over the place from things like a T. M's, displacing bank towers a long time ago, all the way up to more sort of modern robotics type jobs where again, it's not a literal, physical, full sized robot, replacing something But in Amazon's warehouses, they do still have people packaging things. But they have these small, sort of a bit bigger than Roomba sized robots, where they actually go and pick up the pallets off. Whatever it is that you're ordering off Amazon, I don't want to know and taking that height impact to the actual person who's doing that stocking. So instead of the person having to walk all the way that he picks on the Gulf, walk all the way over there, pick something else up and, you know, taking multiple multiple minutesto stack one. Order all these little robots come and bring the items. Ladies, grab one, grab another, grab another and it makes him a lot more productive. And yes, although it can be seen as a efficiency or productivity enhancement, what it actually is is robotics displacing jobs again instead of having someone that takes , you know, 10 minutes to fulfill. Or you can have one person that takes one minute to fulfill in order, and you have to, um, employed 10 less people. So these are current examples of what automation and robotics looks like, and it's very different to what people envisage in the head when they say that robots will take over your job. The other main source is software based robotics. Now, while robotics self has very, you know, practical uses, as I said, such as an Amazon, there's also the software side of things as well. If your job is clicking around on a computer all day, you most likely be replaced by software based systems. If you're picking up packages all day, then you're probably replace be replaced by robotic based systems. But because of the vast majority of people clicking around on computers most of the time, software is also a huge piece of automation that will take over or at the very least, displaced a number of people's jobs. A perfect example of this software and being more powerful even than robotics is Ah, 19 year old grad from Stanford University in America. He apparently created this service called Do Not Pay and what This essentially Waas was a I lawyer. So what this Chatbots program would do is take in people from New York or London who had gotten themselves a parking ticket. Then I would ask them a number of questions and, you know, sift through the various scenarios that might happen when you get a parking ticket, and it would produce this document that you could then send into the council to. I object to this, you know, parking ticket you got if you think you got it in era and the results were quite amazing. Of the 250,000 documents that it printed off and was submitted to actual councils, 160,000 off them got the person out of that parking ticket saving over $5 million this was back in 2016. Since then, adds come to encompass many other cities around the world and is even actually gone on to do flights as well. So this is just one of the examples where you know automation and robotics. It's not typically what people think it is. It's, you know, quite a bit different to what you would usually a shoes. So besides this hardware or software, one other major way that automation AI Robotics is doing a lot of damage to jobs and industries is not where it's replacing. You know someone's job or replacing some software capability, but where it's actually removing the entire industry as a whole Now, often people might see something like the production of, you know, a DVD or CD or something like that in the guard. You know, a robot could never steal my job. You know, we can't have robots that do the whole process of, you know, standing the Sadie and putting it into a cover and packaging it all up that it's too complicated that there has to be a person in the mix there somewhere, and they are correct on that level. But what ends up happening is while it's not explicitly robotics, but technology moves on and the new technologies invented, this disrupts the old one, and it usually ends up wiping out that entire industry. And while it may not wipe out the entire off the industry, you've got many examples, such as floppy disks through the CDs through to VHS. Because hit tapes to even the most recent blue ray sort of think you can see these technologies. You know, people still use vinyl records out there, but it's an absolute fraction of what it used to be, you know, where is it used to encompass 100% of people who wanted to listen to music. Now it only encompasses. I would have no idea, maybe 0.1% or something like that. But this is the case for many, many different types of technology, and it's the other sort of end of the spectrum where one side, you can literally have a robot pick up something and replace that someone's job. In that sense, you've got sort of the middle ground where people how replaced by software automation. And then you've got the entire industry getting replaced by a completely new technology. So that's the other major sort of thing that tends to blind side a lot of people when they only think about and only consider robots stealing their jobs as a literal robots. So I know this all sounds very negative. Very bad. As I said, I don't like to talk about negative stuff too much. So in the next part will be going over stuff that is a lot more positive, and we'll be covering mainly how employment has changed and learning has changed over the past few decades. So our chat with then where I'm sure there'll be a lot of surprises as well 5. Section 2 - 3 - From One Job To Many: All right, Welcome back, I said, we get more positive. So let's get straight to it. Now. Here we're gonna talk about employment and how that's changed so recently in the past, you would sort of have your main full time job. You would go to work Monday to Friday. Eight hours. Come home. That would be it. That's how employment waas virtually everyone who had a job 10 or 20 years ago. However, now, with the advent off mobile phones, lots of other technologies, there's a lot of these sort of other jobs that you can get. There are a lot more flexible, generally a lot less than the full time jobs, but they do offer a lot more flexibility. So rather than having that one job that you go to the one place for 40 years of your life for different partly, you might have someone that's working multiple sort of side jobs so they might be driving for Urban. For instance, they might be delivering groceries to someone as part of insta cart. They might have their own Etsy store. They might be writing content for online blog's all around the world. All these, you know, incomes combining into what would have otherwise being a single full time job. And while a lot of people see these as just sort of side incomes and something you do on top of your work, that they can actually band together and become a fort wage. So these siding comes as a lot of people called them, obviously a lot lower pain than a full time wage. They do offer a lot more flexibility and diverse possibilities for people to do so while someone might get bored, you know, being the same place day after day, with multiple of these other smaller jobs. They can go to many different locations and kind of mix things up a fair bit that might be worth mawr to someone than a slightly higher wage. It also gives them the option to work when they want, as opposed to where they want. So if you're not really a morning person, really not a morning person, then you can wake up a 10 o'clock in the morning instead of having to wake up at 6 a.m. or 7 a.m. for a normal 9 to 5 job and you can work from something quite 11 a.m. Right through the nine PM If that suits you better, these jobs offered different times and different places for you to work, so that's a definite benefit that's come over the past set of 10 or 20 years, whereas before, you only had that choice of working 9 to 5 in the one location order every day. Now you can still do that. But you also have all these other diverse options that you can take up as side incomes or have multiple of these jobs to make up one full income. So it's a very positive thing that has come lightly due to the sort of technology enhancement this digital revolution, as a lot of people call it, has also brought about a number of companies that seem to sort of defy what the traditional sense off, what a company should be and what a company owns and does over the past few decades or so. So we have things like rhubarb, which is the world's largest taxi company who owns no vehicles you have. Airbnb, which is the large largest accommodation provider, owns no real estate. Alibaba, the most valuable retailer in the world, has no actual inventory you've got Facebook, who is the most popular media provider in the world, again creates more content. Netflix, the largest growing TV network, lays no cables in the ground like a traditional TV company, Mark or Instagram, the most valuable further company, sells no cameras now. The other side of this changing environment is that whilst you get you know all these smaller jobs in the smaller places of employment that you can cobble together to make one full time job or do separately, you can also do them as side incomes, which is what a lot of people are now doing to sort of supplement the usual income so they will have their traditional full time job 9 to 5. But I also have one, or perhaps even mawr of thes side incomes that they may do night time or perhaps on the weekend sort of supplement and get even more money. And all these sorts of changes, all these sorts of different types of work where you can do them either remotely or locally in small or large doses means that it's made the workforce a hell of a lot more diversified in terms of what is considered a job than what you can actually do to earn money. You know, 30 years ago, if you wanted to be a writer and you want toe right for someone and earn money that had to be your full time job, it had to be something that you would go to. For instance, a newspaper on you would write for them, and you will be stuck at a full time job during that eight hours a day. Now, if you want to write as a bit of a hobby, you can also have that earn some extra money on the side by writing for belongs or various other, even perhaps full news sites as a bit of a side income and do it from the other side of the world. You can do it in America for a news site in Australia. It doesn't matter, and these are some of fantastic positive sides to this new technology and this new sort of , you know, information age that we're having at the moment. Another fantastic result off these more side income types of employment is that previously where you had to parents and a child one of the parents would have had to stay at home, essentially sacrificing all of their income to take care of that child. Nowadays, though, with these more flexible and location and time independent types of work, that person that otherwise would have been stuck at home earning zero income can now at least earn some possibly quite a lot of income doing work while the child's a daycare while the child's asleep, you know, perhaps after they go to bed at night, they can write an article or, you know, do some driving with uber or whatever it might be. But the point is, they can still contribute to that overall family unit off income, as opposed to solely relying on that other parent being at work. And that's it. So these are all positive sides to how employment has changed over the years and how these new, more flexible types of work have come into the system. And if you started work 20 or 30 years ago, I'm sure you will have noticed how much has changed in just those 10 2030 years. And the fact of the matter is that over the next 5 to 10 years and even further things, obviously, in a change, a hell of a lot more. Because this type of technology, this top off change is actually accelerating. And that's what we're gonna be talking about in the next section about how this technology is not just progressively changing, but is actually changing quicker and quicker and accelerating how much changes happening over the same period of time. So I'll have a chat. Really, then about accelerating technology. 6. Section 3 - 1 - The Accelerating World: Hey, going, I'm welcome to this section. So to begin with, I wanted to just have ah bit of a quick talk about technology and how it is actually accelerating all over the world. So hopefully, while aware of technology, it's been developing fantastically over the past 100 plus years. We've had Wharton things such as electricity, television, radio, washing machines. Fantastic. It's all been very good, but technology actually builds on itself. And whilst you may be thinking, you know, this is very obvious. I really wanted to sort of stop and just make sure that everyone was fully aware and up to speed on this. And this is what I'm trying to get through in this particular part of the course. And that is that technology isn't just gradually, you know, being invented over the years, but it's actually accelerating. It's being invented at a quicker and quicker pace because it's actually building on itself . Now. You had the initial invention of something collect electricity then obviously something was built on top of it, such as things like washing machines, radios or computers. Now, computers is that particularly interesting one, because then on top of that, you had other things also built on top of it, such as, you know, the Internet or digital cameras or mobile forint, all those sorts of things, although I guess a mobile phone is essentially a computer. But my point is, these other types of inventions and these other types of technologies were all made possible because of that computer underlying technology. And as these new technologies get building as the computer itself got built, that enabled those new technologies to be built even faster. And this sort of feedback loop keeps sort of getting quicker and quicker. Over the years and for the past kind of 100 years or so, it's been getting quicker and quicker, and people have started to notice it. But it's still going at a relatively slow paced, at least up until sort of the two thousands. But since then, I'm sure you've probably noticed it's, you know, it started to pick up speed quite a fair bit, but ultimately the specific point that I want to cover is that it is accelerating. It's not just a linear, you know. Every five years we get a new invention. Every 10 years, we get a new invention. It's actually accelerating. Maybe it was 10 years. We get a new invention 100 years ago, but now it might be every year or every week, or whatever might be. So are a good example of this is machine learning now, as are saying things like electricity and computers and the Internet they will build on themselves. In the case of machine learning, it's being taken even further because now we're getting into the realm off automation and machines actually taking over jobs. So while I'm sure you've heard of machine learning and AI doing things such as self driving cars or curing kids or something, what you might not have heard off is something called Water ML or Auto machine Learning. Now Auto ML is where gets a bit met up. But stay with me where machine learning actually designs and dudes other machine learning programs. So instead of having it perhaps a data scientist or a human being of any sort sitting there programming up a new machine learning code and new machine learning programs that have actually found a way to get machine learning to build those programs for them. And obviously, as you can imagine, this is again that technology building on itself to create new technology far, far quicker. And what this means is that these technology developments that you've seen that happening today and going at whatever rate it is going today, this one the get faster a lot of people sort of assume or just don't really think about it too much. But they think that technology will just continue at its current pace of development and that it can't possibly get and he quicker than what it already is. But that's not the case. Technology will continue to not only be developed but be developed at a faster and faster pace even faster than what it is now, even faster than what it is in 10 years time. So this is something that we need to really understand at a deep level, and consider when we actually make decisions in the future that what we see now as quick technological development is nothing compared to what it will be like in five years, 10 years, 20 years time, So in the next section of owner actually talk about how companies are dealing with this. Obviously companies that just made up of people And if people can't really sort of understand this change or be aware of it and cope with it in the future, with technology getting even quicker, obviously businesses, they're gonna have trouble with it as well. So join me in the next part and I'll have a chat about that and how companies are getting their entire world turned upside down sometimes even overnight, simply because of the new technology developments. So I'll see you then. 7. Section 3 - 2 - Laws And Industry Can't Keep Up: Hey, gay and welcome to this next part. So we discussed before about technology accelerating quicker and quicker over the previous last few years. And how this is affecting governments and businesses is a little bit different than how it's affecting people. For most people, it's fantastic when a new technology or new gizmo comes out, but for businesses, can, you know, really affect their bottom line and sometimes completely devastate their entire company. So the reason for this is that traditionally, when a technology came out, it was invented. It was developed, may be refined that was then deployed. And, you know, then it would take a while for consumers to understand the technology, to accept it and obviously toe actually purchase it and start using it every day. So if we take an example, like the mobile phone originally when it came out, it was embedded in cars because it was such a huge, huge device you couldn't physically carry them around. Later, they said, have developed them down to the size of a suitcase kind of thing. You saw businessmen carrying her in suitcases, then it got even smaller with the sort of smaller with prick phones that you saw people using and you know from there and obviously got smaller and smaller into what we use today as a smartphone. But the point is that development cycle of getting smaller and smaller, building the technology into what it is today. It took decades of use, and even then it took even more time to deploy it. Convince people that they needed a mobile phone and you know it's fantastic the X y and Zed , and for them to actually purchase it and start using it. So all this sort of time, the companies and the government had to kind of review the technology and see it coming and basically decide what they can do with the business and how they convinced use it. Over the past decade or two, though, this entire sort of development cycle off new products is actually greatly reduced and, as I mentioned before, is obviously accelerating in getting smaller and smaller every year. But even now we're seeing that this development cycle is so small that it can cause really big problems because companies don't have that, you know, 10 or 15 years to kind of see the technology coming, see how they can integrate it into their business and maybe benefit off it. Like, you know, telecommunication companies. They used to only provide basically landline phone services. Where is now? They've integrated smartphones and the Internet and new technologies like that into their business model and now provide smartphone services, Darda Services, Internet services. So they had that time to properly transition their business to the new technology, which is very good for them. However, with other things that are coming out much, much quicker. A lot of companies just simply don't have that time. And as a result, you get these massive disruptions. So a good example of this is actually drones now Drones roughly about five plus years ago weren't really a thing. I mean, people were personally creating their own drones, but there was no big, huge industry around like there is today. And because of this, because that whole, you know, development cycle of drawings getting smaller in bed are rolling out to customers, customers buying them, customers using them and, you know, literally in the millions and millions of people using drones that has happened in such a small space of time. You know, 3 to 5 years kind of thing is very small compared to the 20 or so last time. It's become a real problem for governments and businesses alike businesses, because they haven't had time to process this and integrated into their own business and see how it might affect their bottom line. Or perhaps maybe, how they can benefit from it and governments from the other side, because they can't regulate this sort of stuff. They're not that quick on their feet. They can't analyze the new technology, see how best to protect the citizens and create appropriate little was four, and as a result, you get some. Really, we'd issues where things like, you know, in Thailand it's still actually illegal to fly drawing. They will basically put you in prison if you don't go through the proper, you know, process. And I think you have to actually, you know, sign up with three different government bodies of something really ridiculous like that. Even though all you're doing is just flying a drone, it's nothing amazing. India is another country that's obviously huge, and I'm sure there are millions of people out there right now that would love to go and fly there joining India. But you can't unless you actually sign a foreign piece of paper and submitted to the aviation authority. It's a Z view are flying a full sized plane because they simply still do not have official laws before drones. Yet that is how long it takes governments to react and draft laws and get them fully enacted. Sorry, this is where it comes in as a very big problem now that this development cycle is much, much shorter. So the biggest issue doesn't seem to be the fact that technology itself is being developed more so that, as I said, this timeline over when it gets deployed and being used just has been hugely, hugely reduced. This is really what's killing businesses and giving them so much trouble. And as a result, these new technologies can sort of become the Wild West at their because, you know, that's just random people doing stuff. There's no government supervision or regulation out there, and one of the best examples of this is actually Cryptocurrencies, which is obviously come out as something a huge new technology. Very recently. Now I'm sure you've heard off the infamous Bitcoin out there. And whilst this is, you know, still a little bit Wild West like it's one of the more serious cryptocurrencies and actually has a bit of tangible value in it. You may argue otherwise, but it's at least semi serious in terms of water hopes to achieve. But there's far, far more hilarious cryptocurrencies out there. So there's this one, which is Putin Coin, which was started back in 2016 and is now worth about 2.5 $1,000,000. There's the hilarious pay Con, which, literally in its note to investors, says that it will fix world hunger, cure cancer, catch Kony and save the day of the PSN network goes down. And then there's also the dirge coin, which was literally invented as a way for people to try and say, What's the most stupidest thing? Weaken? Think off to prove that people will buy anything they invented. Does going that now is at a whopping half a $1,000,000,000 so well previously, you know, things used to take 10 plus years to develop. Now it's only taking a couple, and it's just missing a lot of things up, at least in the traditional space of government business now to give you some other examples that have happened historically, not just currently. Now you have things like Airbnb. They started in a loft in 2007. They developed their technology, improved upon it, deployed it to the world and in only seven years the platform had grown to over 10 million people. So as a set, mobile phones took roughly 20 or so years to really get dying. They did a similar thing in seven years, so you'd say it's much, much quicker. Buddha was another one. While precise figures are difficult to come by, Hugo went from being essentially non existent in 2010 toe having over a 1,000,000 users in roughly three years. So both companies completely blindsided their respective industries. You know, hotels obviously and taxis, and as a result, they basically have bean banned in some countries that have been embraced in other countries. Even Airbnb in the country that it was actually invented in America is banned in some cities, said This doesn't just affect small companies either. Obviously, with things like rhubarb and Airbnb, it's affected huge industries around the world and it's not just with sort of software based things, either. It can also happen with hardware based things now. Usually they take longer to roll out because you've got physically build the hardware, as opposed to just pushing out a 1,000,000 copies of software instantly. But it can still happen very, very quickly now. When Apple released the first iPod, they actually sold over 50 million off them in the 1st 3 years alone. So again, we're talking about something that completely blindsided the music industry and took it from zero up to 50 million users in just three years. And this was at a time whenever I was buying CDs or records or tapes off whatever you want to buy back then, people still buy records now, but mostly it was CDs and I went from people buying CDs at a music store to people downloading MP threes off the iTunes store and storing it on their iPod from Apple. And this was a huge change, which obviously now has resulted in people streaming music, and it's changed even more. But it's easy to see how these changes can happen, but software and in hardware. So you've got to be aware of both of them. This destruction and disruption is also accelerating to as that development cycle continues to get even smaller. But, you know, you may be wanting to know about how much you know. Previously it was destroying, say, the music industry. How much is it going to destroy companies in the future? Now we'll be discussing that in the next part. So I'll talk to you then, and we'll also be covering a very interesting new sort of development that's happened in a I. So watch out really then and we'll discuss, although. 8. Section 3 - 3 - The Knee Of The Curve: all right, sir, we now know that technology is in fact accelerating will get quicker. And we also know that businesses and governments and people in general having a very difficult time already dealing with this technology That's far, far quicker than what it used to be 2030 50 years ago. Now, to calculate exactly how quickly technology will continue to improve, a lot of people have gone throughout history and track to the overall development of many technologies over the past 100 plus years. So how long it took the refrigerator to They developed and, you know, adopted by, say, 80% of the people. And then they would do it for something like Facebook or mobile phones and compare that sort of rate of development and try and figure out where we seem to be in terms off, you know, development cycles, off products and how quickly they take to develop. Now, I'm sure you've seen many exponential graphs just like this one, and the last thing I want to do is add to this terrible trend. But I'm afraid I'm gonna have to, because as all these technologies are increasing at an exponential rate, we can actually show it graphically and sort of show. Where about we are in terms off technology developments such as this graph here by weight. But why? And as you can see, we seem to be right here, which is what they refer to as the knee of the Curve. And it's because of things like computing power, militarization, off technology, artificial intelligence, all these sorts of things, building on top of each other, that we're sort of at this point where technology is poised to just explode into essentially infinity. And obviously you can tell that this acceleration isn't going to be a linear acceleration where it was, you know, five years, one year and then four years the next year and then three years. And next year it's going to be an exponential increase. So it will go from being something like 20 years to be 10 years, doing five years to being 2.5 years, much, much, much quicker than what you know. Most people think in the head, which is usually a linear time frame, because that's what we're used to thinking in linear terms. Now I know that might sound a bit ridiculous to some people that you know that type of hardware level change can happen in a 10 or so you period. But it's actually already kind of happened. If you think about you know where we were 10 years ago versus now. Even in the hardware world, you can see that billions of devices have bean made and rolled out and produced, even in such a short period of time. So the example I'm talking about is actually Android on. You know, it's run on about 80% of all smartphones, and there's about 2.5 1,000,000,000 smartphones out there at the moment. 10 years ago, Android as an operating system, just simply didn't exist. It wasn't there. Everyone was using Nokia mobile phones, and since then that rollout of absolutely astounding number of devices hardware devices has happened. And so you can imagine that it will obviously happened or potentially happen again. Possibly had a short timeframe. Now, Android and smartphones isn't the only example. 10 years ago, there were no iPads Samsung tablets that would android tablets, the tablets. The entire category itself didn't exist that there were no smartwatches. That entire category as well, also didn't exist the Internet of things and all those smart devices also didn't exist. And you know even such things as solo. You know, while it did exist, it was vastly different technology where it was very, very small systems of even like a killer. What might cost you tens of thousands of dollars, where it's quite different nowadays. So this doesn't just apply to computers as well energy sectors as well. They can even apply to something. As you know, diverse is, say, genetics. So in genetics 10 years ago, the crisp A cast Mohan technology again didn't exist, and that has fundamentally changed that entire industry. So now, with that technology, you can precisely target and cut out entire jeans or specific DNA to be whatever you want. You can replace it with whatever you want, and this works in humans, plans animals. It is a huge, huge advance in the technology and even beyond that as well. That actually developed something called gene drives, which is where you know, whereas Christmas has nine will say, replace a gene and maybe turn your eyes from blue to green or something like that, a gene drive has the potential to make it permanent and actually enforce that on all your offspring. So you changed from green to blue eyes. And then, you know, I had a child with a partner who had whatever other color eyes. It doesn't matter. It would guarantee that that offspring, your child, would have blue eyes, and it would continue on through generations and would be permanent. That actually morning to use this with mosquitoes that developed a way to edit the genes of mosquitoes so that they can't carry malaria. And that together with gene drives could potentially mean that within a few years, Theo entire mosquito population would be incapable of cow carrying the malaria of ours. And, you know, obviously that's a huge win win for everyone. But you know, the story of controversy controversy around doing that because it's, you know, quite close to playing sort of God. You're permanently altering a species ever. So that's a new technology that's coming out. And these are the sorts of changes that have happened just in the past 10 years. So you can imagine if technology has done that much in the past 10 years and will accelerate and change even mawr in the next 10 years. You know, both on a hardware and a software level, Things going to change drastically that looks like another, said. We're basically at the luckiest point in history, you know, in terms off the amount of technology that's coming in, it's coming in from all sides, and it's only going to get faster better now, While this change is obviously, as I've said, effective businesses and you know people, it's also affected education as well. And education is really important thing when you're talking about employment, so we'll be talking about it in the next section will be talking about why it matters what's changed over the past sort of 20 years versus you know what you might have done 20 years ago. This is what you will do now and would just sort of go over that in a bit more detail. So it's a little bit clearer, so we'll have a chat. We didn't 9. Section 4 - 1 - Out With The Old: Hey, going and welcome to this new section, sir, Now that we've covered employment and we've also covered technology and how that's advancing, I want to kind of get into the educational aspect because that has drastically changed over the past 20 or 30 years now. Traditionally, you would goto high school. You would go to college or university for four years or so. Then you would graduate and you would go into a full time job. And this is how it was done, you know, a few decades ago and obviously still done today. But that old sort of mantra of that is being all that you would do has quite changed a Fitbit. And today, across the industries, I know that it's even having a four year degree is often seen is not really enough. A lot of them, Ah, lot of the companies and demanding that you have even more than that, something say, like a master's degree, especially here in Australia. And the sort of reasoning for this, and at least in part, is that the courses and the information that university levels teach nowadays is it can be quite a bit out of date now, This stems from the time that it takes for, you know, industry to develop and be deployed, and then the actual curriculum for that industry to be developed and applied to a university level degree. That takes quite a bit of time to do that, and especially lightly with these very quickly developing industries and technologies. That just isn't that time available to create that curriculum, that you're deep, full level curriculum that university demands and actually implement. That is a course. And that's why you know, you just you can't go and do a course on something like drones or maybe even machine learning specifically because they just haven't been around for that long. I mean, machine learning might be a little bit of, ah gray area because it has actually been around for a number of decades, but not in the sense of the excitement and the breakthroughs that have made happening over the past 5 14 years. But putting that aside as someone who has personally gone through and done engineering, as well as science and level degrees at a university level, I can honestly say that it is very, very helpful. Still, I'm not saying that you should not do a degree and just disregard them is crap or anything like that. They give you a huge amount of information in terms of the base, understanding off the technology based understanding of the industry. You know, things like where the standards have come from, why they were developed, why the processes and techniques that are used today in that industry are being used in where they came from. That's immensely important information have in the back of your head and that sort of background knowledge so that you can jump into a continue learning and continue doing your job or whatever it is you're doing with that degree. So I'm not saying that they are useless or anything like that. I'm just trying to get across that. The pace of technology has far outstripped the curriculum that universities usually off. On top of this learning itself has also developed and changed over the years as well. And this is what this particular part is about how learning has changed over the years now . As I said, traditionally you had that four years of university degree, and that was generally it. However, now you'll do that degree and then you have continuous learning. You'll have other types of courses as well again has gone from the physical world into the digital world. As software essentially eat everything you have these online courses, such as from you to me, for example, that are virtual courses that teach millions around the world. And that is exactly what this course is here. You're taking a virtual course now. It's also once again accelerating the learning industry as teachers and lecturers aren't bound anymore by having to be physically in the same location. Literally millions of students come watch the same lecture simultaneously and often for free. This new, smaller barrier to teaching has also allowed for smaller, more specialized teachers to come out and teach their specific niche industry. So while a university degree might be huge, encompassing the entire industry, such as talk communications, which is what I specialized him these online courses could be a lot more niche and a lot more specific and direct. And while this can help someone who, for instance, has done the telecommunications degree, get even more niche on a particular topic that they are interested in, say, like Foggy Lt Technology or perhaps radio spectrum or whatever it might be. They can also be used to really narrow in on specific subjects that you know the person might not have that full university background lover. The other reason these are fantastic is because it enables people that either don't have the money to do those full university level degrees or simply just can't physically go to the location off the university for whatever raising it might be. You know, just because they can't make it might be because they're in a different country that doesn't have that type of quality teaching. But whatever the reason is and enables those people to go online and still get at least some very good training in specific points off that they might not get that overall university level degree quality of the entire industry. But they can get very good, very specialized teachings in those special niche sections. As such, there's millions of these really sort of niche courses and sometimes actually quite broad courses as well that are out there for both those people that you know may not have originally gone to college and also to the for those who have gone to college too broad in their skill set or develop new skill sets out there, and it's something that could be quite useful. Like even if you have the into university or college and you want to learn a new skill, there could be something that can potentially propel your business forward because you've got this new ability to do something that you didn't have before or if they are not working for your own business. You're working for a company that can give you a new skill to showcase off to your employer and perhaps get a raise, or to who knows what. But this top off continuous learning is actually quite important, and it's part of the main section about what will be covering next, so I'll have a chat with you then. 10. Section 4 - 2 - Continuous Learning: So as technology is now increasing at a huge exponential rate and it's getting faster and faster, we can see, you know, entire things, changing entire industries, air coming from nowhere to being full blown and, you know, deployed to millions of people in the space of a few years and education, just like government and businesses cannot keep up with this. And this is why we're starting to see the concept of continuous learning really sort of come into play here now. Previously, you had your high school in your university level, and that would be it. Now, with continuous learning, you still have those you know, high school and college or university levels. But from there you continue to learn year after year after year. So if you're, for instance, a computer programmer and you graduated maybe 10 years ago. Since that 10 year mark, you know, computer programming has changed drastically, and I would expect that if you're a programmer that graduated 10 years ago. Over that time you've studied the technology you've Papst on courses, you've perhaps fiddled with it at home, or maybe as part of your job, and you've kept up to speed with those technologies, the new programming languages that have come out the ways that the existing ones have changed and adapted each year because for computer program is this is a very common scenario. This is just part of their job of what they do. That continuous learning has been part of their job pretty much since it started. However far most other industries, this continuous learning idea is not really part of it. They have that, you know, maybe civil engineering or something like that, and that'll be their degree and they might do a few courses here and there. But it's not really embraced to the degree that it might be in something got computer program. Now this continuous learning is not only good because it keeps you informed of what's happening, but it makes you very desirable to employers who want to continue to employ people they obviously want the latest and the greatest, just like when technology is involved. So if you are fully up to speed with all the you know programming language and what it's capable off, you will be a much more desirable candidate than someone who's just graduated and doesn't really know that much about it, and this applies for businesses as well and other industries as well. You know, if you're in, say, retail, for example, you might not have this idea of continuous learning sort of baked into the industry's Muchas computer programming does. So if you're in retirement listed for an example, how much do you know about things like Apple pay or Google Pale, the mobile pay systems and how they affect you? And how your consumers use that new technology to continue to purchase your products? Has it had an effect on you? What about online only retailers? Do you know about that technology? And have you tried to integrate that into your company? Or do you just ignore because it's some newfangled technology? All these sorts of things are very important, and you know, if you're for instance, a restaurant and you totally ignore the possibility off something like that, it's or fedora where they will pick up your restaurant food and deliver it to consumers. You might be missing out on a huge Newmarket off potential clients and customers simply because you just not aware of the technology and you don't really want to sort of learn about it as such, you really must embrace this sort of continuous learning mantra. Even if you're not in an industry that has already been doing it for years. Even if you don't think it applies to you, you really need to be reading up and investigating these new types of technologies that are specific to your industry and even some that aren't. You need to be learning about what they can do. You know what industries they apply to. In some cases, if they're important enough, you might want to actually get that technology, take it home with you and actually start using it so that you can not only better understand the technology and how it's used by perhaps your customers or your other, you know, businesses that might be trying to compete with you. But you also get to learn the pros and cons off the actual technology, and you know why you might use it In one scenario, this is not using it. In another scenario, it can better help you just understand the technology in general. Now, a lot of people say that you know they don't have time to dio to do this there are already so busy running around doing everything else. Investigating new technologies is such a time consuming thing. It can be sometimes, and I do agree with that. But the thing is, if you don't investigate the new technology, if you don't keep up to speed with your industry and technology, you risks sort of becoming that old person that just doesn't keep up with technology. And, you know, no one really wants to be around because their old and slow and do things the weed way. You know, you know, the type of person I'm talking about. The person that you know still uses Internet Explorer six instead of using chrome or Firefox or something like that now still have a flip phone instead of moving to smartphones because they can't be bothered working out the new technology. Or, you know, maybe though they'll be that person that keeps calling people and leaving messages like are high. You know, it's John. I've called you call me back because they don't understand the concept that call our ideas a thing now, and they don't need to leave useless messages like that. You know, I've even heard cases where and this is true uses, actually rewind DVDs that they've rented so that it's a start for the next people that are hard. You know, these people, they don't worry about that new technology they don't ever investigated. They don't ever use it or read up about it and learn about it, and thus they just end up getting mawr and more progressively out of date. And that is the risk that you run. If you sort of have it in the back of your mind that you're too busy, that you don't have enough time to check out this new technology, whatever it might be a whether it's drones or a I or, you know, solar, whatever it might be, that's the kind of risk that you run five or 10 years from there. Being that person and as a set. No one wants to be around that person. They're often far slower doing whatever it is that supposed to be doing than anyone else. And it's just eternally frustrating. Trying to get anything done with the other side of the coin is that while it does indeed, as I said, take time to investigate and understand these types of technologies. The flip side is that often new technology is solely developed to either make things easier , quicker or cheaper. Or maybe all three. So, although, you know, you might spend a week, you know, understanding a new technology, trying it out at home, learning its pros and cons and, you know, really getting a good understanding of it. And you've sort of spent a week of your precious time doing that That might enable you to get a 20 or 30% efficiency improvement in whatever it is you're doing. Your actual business owner, that means, might mean 20 or 30% more profit or having to, you know, pay someone 20 or 30% less time, which is more money for years. If you diner in the business and you're unemployed employees, this could mean doing your own job 20 or 30% more efficiently, or perhaps even opening up something completely new. Impressing your boss possibly getting a raise. Lots and lots of good outcomes come from doing this investigation, so I can't recommend it enough This continuous learning, whether it's during the investigation yourself or doing these smaller online courses to really try and get your skills up, be aware of what the actual new technology is, you know, getting that good information and not being that old person that gets left behind with the technology. Now there's the sort of rare case sometimes where technology is actually so new and so advanced, I guess that there are just no courses for it at all, whether it's for university level or even on somewhere like new to me or skill share, and we'll be talking about this in the next part, so I'll explain to you that. 11. Section 4 - 3 - Learning Where Nobody Has Learned Before: a going and welcome to this final part of this section. So as I was talking about before, sometimes there's a new industry or new technology that is just so new that there is just no, you know, traditional or new online content available teaching about that subject now. This can happen for a number of reasons, but usually what happens is traditionally, as I said, a technology will come at and will take many years for it to develop and have the curriculum developed for. But as of light as technology and industry is accelerating, even MAWR, that whole development cycle will be reduced to maybe 12 or even three years, where it's really just impossible even to create this new online content. It's just not possible in that such short a time frame for someone to get up to speed on it and then want to create a course on it. The other reason it convey is because it's, you know, a serious new technology that will impact something a huge amount, and people can see that, but it's actively still in development, and they can't wait for it to be deployed and have that curriculum teach or created to be toward about before the entire industry or company might get disrupted or, you know, completely changed. So an example of this might be self driving cars, for instance. You know, if you're a taxi driver, you might already know about self driving cars and sort of be thinking about and be aware that perhaps it will replace your job and totally disrupt your industry as a whole at some point soon. But if you wanna be proactive and learn about that technology and start doing, you know, self driving programming yourself, it might be very difficult to really get fully up to speed on that subject. Because in order to know that you know latest technology, you would only place you're gonna find it is in those companies that are leading the field . And these are things like companies like Waymo and Tesla, other ones such as Ford and GM. These companies are spending billions and billions of dollars. Honor is a huge industry, but then are gonna, you know, come out and start teaching people about how toe do the stuff that still developing that's giving away their trade secrets. No one's gonna do that So it's understandable that you can have this sort of Catch 22 scenario where, for whatever reason, the technology or industry is so new that you can't actually get proper, you know, online courses or traditional courses on how to learn about that new technology. Now one of the best ways to get out of this sort of Catch 22 scenario is to actually do your own essential research and development to actually do this yourself. And while it is typically a lot harder than having someone teach you, the subject taken store said they a lot of fun. And for those who are sort of scientifically or engineer minded, who liked that discovery process and really like to dig deep and learn about the core technology and how it works and, you know, build it and do it for themselves because that's what drives them. It could be a very, you know, fantastic path to pursuit. So as an example, again, going back to that deep learning problem off you know, self driving tars, whilst you might be out to take some preliminary courses on, you know, perhaps computer programming. That and then maybe deep learning as Well, there are some, you know, potential courses you might be out of take That will teach you a little bit about specifically self driving cars. And you know, the technology and programming behind that. Ah, lot of the work that you will have to do will be yourself. You will have to do something like, you know, take one of my other free courses about how to actually build your own deep learning computer system at home. And from there you can actually start to program the systems yourself Trotta made yourself and essentially try and do this same research and development that these companies doing. And obviously, you just being you is not gonna be out of compete to these gigantic companies spending billions of dollars. But what you can achieve is you can start getting sort of a bit of a head start on everyone else out there and start developing and getting a better idea of that technology so that when you do go to those companies to be employed by them, you can show them your research. Show them your work and I mean, sure, they will have far more advanced systems, but you'll be showing off your quite unique ability to develop those systems that they're wanting. You can show to them that your independent person who doesn't need someone Teoh specifically tell you what to develop on, what to do, that you can develop it yourself. And that's definitely something that those type of companies will want to be looking for because they're, you know, they're going into uncharted territories. No one has built a self driving car before, so they need people that can actually develop this sort of technology and software themselves. They can't tell someone exactly how to build a self driving car because it's never been deemed being done before. They need people who can figure it out themselves. And this sort of self development and self research can really benefit you in a number of different ways. Now, one of the other biggest problems with this sort of research and development is to understand which technologies are important and worth your time and which ones aren't. And I think that's a big problem for most people trying to decide. You know, of all these technologies that are coming out, which one should you pay attention to which one is worth sort of focusing on and maybe doing some of your own R and D at home with a computer or whatever it might be for said This is what will be covering in the next section, which is the main heart off this course. It goes over the course strategy off, how to stay employed in the robotic future. Please don't miss. It will be going over the entire strategy piece by piece from into end. So I will have a chat with you then about the strategy for this course. 12. Section 5 - 1 - The Strategy That Beats The Robots: Hey, go and welcome to this main section, which is on the main course strategy. So now that we've gone over those previous three sections off education and you know how that's being changed via technology and how technology itself is accelerating workplaces changing all that information that hopefully everyone's up to speed on that we can start to look into the court strategy off this course. Now, when most people hear about that information in those previous three sections that I've talked about, they get quite wide and often very angry. You know, no one likes to be told that the job that I have the industry, that there in that maybe sit spent 10 or 20 or even mawr years learning about developing. And you know, being employed in is just, you know, not needed anymore because of a certain new fancy technology or new drone or whatever it might be that's, you know, all over the news at the moment. Ah, lot of people get very angry. They get very nervous about all these developments. That's very understandable. No one likes to be told that they're, you know, not needed anymore because of the new whiz bang technology. Now what most people do, though in this scenario is that they are the try and fight back against the new technology . They might try and vilify it and claim that it's, you know, wrong and people shouldn't use it or they should continue doing the old way or, you know, for whatever reason, I'll make up a whole bunch of ones, and some of them might be legitimate concerns. But ultimately it's never a good idea. As I've mentioned before, technology and progress will always push on, regardless of what you or even your company or even your entire industry says you can find it. You can slow it down, but ultimately the vast majority of the time, it will still go on with or without you. Whether you come and adapt to it or not, you may not be aware of it or remember it. But back in 2006 previous to 2006 knock er in terms of mobile phones and smartphones as they were kind of knowing back then as well, there were huge. They covered the vast majority of phones that were produced and for good reason to they made the best of mobile phones. They had fantastic screens and technology and features. Their cameras were really, really good as well. Yeah, they used to call Zeiss lenses and all this, you know, fancy stuff. They had fantastic phones. I myself personally love to their phones out. Fantastic. But when Apple released the new iPhone, it, you know, quite considerably changed the game. And initially people didn't know what to make of it. But as it became clearer over the year and then the progressing years after that that yes, you know, this was the new technology. This was the new way that phones were going. Nokia didn't seem to kind of want it, hear anything about it. They just ignored it. They kept releasing the same phones over and over again. This older technology that they've been developing from in years, they completely ignored that new iPhone smart phone style design. As a result, they are now a fraction of what they used to be and were eventually sold off. As you know, nothing to basically to Microsoft. So this is what can happen to you or your company or your industry. If you do ignore the new technology that's coming through, and it's happened in many other companies in industries not just know here. That's just one of the best examples. There's also curd ACOG's I Spoke About Before, but many others. So what can you do then? If ignoring, you know, vilifying and yelling at it is no good If it's not productive? What is a productive thing that you can do? You know, how can you make yourself continue to be employable and, you know happily, provide for yourself or perhaps your family as well? In the future, continuing on Eve, your industry is going to be severely disrupted, whether it's via automation or a new technology. Now this is what the main strategy they're about to talk about covers. Oh, first give just a very brief high overview in this particular part. Now and then in the next four parts, are we going through each off the part of it in greater detail and then in the next sections. After that, I'll be going through a number of different industries and giving live examples of how this strategy would work and flow, using those industries as an example. So let's get into the overview off at the moment. So as we can see, you've got four main parts to the overall actual strategy, and you can see here in part one, you're working at your current job with, you know, all your other happily employed co workers. The business or industry is going fine. You know, profits might be up. It's just your regular business as usual, but what you'll be doing that is quite a bit different. Tow what everyone else will be doing. So instead of just working and generally being obliviously oblivious to new technologies like most of people are usually now you actually be reading up on new technologies constantly. This is that constant learning that I mentioned before you'll be identifying and monitoring specific trends, technologies or just things that you found to be relevant to your industry or business. You might even see some of the earlier fix of these technologies and what they do to your industry or business as well, in part to these early effects, start to get a little more serious. You know, they're a bit more noticeable. Maybe your company start to experiment a bit with, say, automation. You know they might become more efficient as they often court and start getting rid of star for perhaps just, you know, increasing their production without hiring additional stuff. Because of that automation, as you've been monitoring this change or this new technology, you're well aware of it. And more importantly, you're well aware of what it will likely due to the business in the long term. Maybe it's not automation, but instead a new technology. And your company is now having to compete with whatever that new technology is more, more. Either way, you've identified it as a serious threat and have caused to believe it will lead to major disruption. So as a result, you search for and find different businesses that you know aren't in decline or aren't becoming highly automated. And a company that has a bright, booming future due to technology and just generally the way the world is actually moving on . So that's what you'll be out there searching for in part two. Next up in Part three, you start to sort of focus your efforts and learn as much as you can about the new technology and the new business that you found previously in Part two. Perhaps you take some online courses. Or maybe you buy some of the technology and do a lot of experimenting with a home, as I was talking about before with that deep learning example, after getting a bit more familiar with not only the company but also the new technology that that company is using, you can smoothly transition over to that new business and adapt your current main skill by adding on these new additional technologies or additional things that you've been learning over the past few months or years. Meanwhile, your original business or industry is being more and more affected. You know, maybe more jobs are being lost due to that automation that they're now ramping up a bit more. Or maybe they're just simply losing the battle against whatever that you are more advanced technology that's being rolled out, he is. And finally, in part fourth. We can see that you've completed your full transition to the new you know, more prosperous company, and you've done so in an orderly way, which is the important thing. You can remain fully employed throughout the entire process, and the old company or industry that used to be in, you know, maybe it's been completely automated or, you know, 99% automated. Or maybe it's just collapsed to Judah, everyone shifting over to that newer technology. But for whatever reason, you know, it's very likely that your older company isn't probably doing as well as it used to, so that's a very quick overview off. The actual main strategy will now be going into a lot more detail in each of the parts, so I have a chat you in the 1st 1 in the next part. 13. Section 5 - 2 - Future Forecasting: all right, So now we're into the first part off explaining this strategy. And in part one, you're employed in your current company or business, and you're employed with many other employees that sitting next to you or around you and you know everything is going quite well. There's no disruptions happening at the moment. There's no technology that's, you know, stealing all your businesses, money and infrastructure and all that sort of stuff. There's no disruption or anything that's out of the ordinary. It's business as usual. And if you're in this sort of situation, where you're sitting in a business that's happily chugging up, chugging along than your in part one off this strategy, as you can see here now, even though everything might seem fine right now, you need to make sure that you're really aware of what's happening and the rapidly changing technologies out there. There's otherwise you will get blindsided now, just so. This strategy is not some clear from the start. The top part here represents your current business, with you and your other employees working there together. As I said before, the bottom part here represents what you'll be doing in H of the sections, such as in this one, which will be studying. So the other part of it is over here where you'll be moving into a new company, which is represented by the rocket ship. Now I can say that you might get blindsided by new technology, and it sounds pretty obvious. But these technologies aren't so easy to see if you don't have hindsight now, Hindsight isn't the only thing that can cause trouble. Sometimes the technology might be really obvious that it's, you know, an important thing like self driving cars. I think everyone would agree that it's a very important technology, and if someone invented it would be huge. There's no doubt about that. What is a bit more questionable is when it will be developed. You will be in a year, will be in 10 years, or perhaps never. No one really knows Now. If the changes are mostly going to be done in software as opposed to hardware, then obviously it will be rolled out a lot quicker. You know, software can be pushed to literally billions of dark devices and billions of people, you know, overnight hardware takes obviously a lot more time to sort of roll out. But again, in my previous examples, this can be a pretty short amount of time. When we're talking about an entire industry or an entire business having to shift, you know all of what it's doing into a completely different direction, you know, something like the digital camera or the mobile phone. These were obviously hardware rollouts that had Teoh, you know, happen in the real world, not just software, but it was still far too quick for some companies. They couldn't pivot quickly enough in time, even though it was hardware. And regardless of you know, whether it is a software or a hardware, or how quickly, or whether or not it's important for these technology and changes. One of the biggest things is that there's so many off them out there, and it's just very difficult to tell which one is important and which ones not. So, for instance, if you're in finance and you've been hearing a lot about Cryptocurrencies and some people are saying they're very important, some people are calling it just a fed, you know which one should you go with, you know, how do you know which sort of camp to go in, and that's what this section is really about. Now, obviously, one person can't be fully aware of everything that's happening in the entire world, or even potentially, their entire industry. There's just too much stuff out there. But one thing that really helps with this is obviously reading up and learning about these new technologies. So if you've just heard about crypto currency, but you don't really understand what it is, how it works or why it's important. You're obviously not in a very good position to kind of determine whether it's just a fad or whether it's something that's really serious. And you need to concentrate on assuming again that you're in finance. So one of the first steps is to actually learn about the technology and start reading up about it. Once you then understand the technology, you can continue to, you know, stay abreast off the actual topic and continue reading and learning about the new developments that come out every day. One of the best ways to do this is with a service called Feed Lee Now feed. Lee makes use of RSS readers, and it's a completely free service that aggregate all these news stories or blawg posts and so on, and what you can then do is read them all in one place, nice and quickly. And it's not the only service that does this type of function. You could do something like Twitter or Facebook or others, but the idea is essentially the same you subscribe to, or you follow a number of good thought leaders in that space. Perhaps it's someone working at Roubaix if you're trying to follow self driving cars. Or maybe it's a niche news site that literally only focuses on and talks about self driving cars. Or maybe it's ah, you know, wider General Tech blogger that actually discovers it quite in depth as one of its major topics. Whatever you know source you choose from. The result is that each day or each week, you have a bunch of stories and use pieces that air solely to do with this particular topic . In this instance, self driving cars, it tells you the current state of it, the latest developments in it the you know, just everything that you need to know to assess how close this technology might be toe replacing you or possibly disrupting your industry. Now, what I also highly recommend is the location from where you get these sources from. So if you're following things, you need to obviously find places or things to follow it. A lot of people default just to the usual major news sources. You know, something Kamajor like seeing in or something? For instance, I would really, you know, advise against this Not because I have anything against seeing in or anything like that, but just simply because when it comes to new technologies, often they can be quite quite complicated. Something like self driving tars and the machine learning algorithms. And the math behind it is quite quite complicated. And for someone who is essentially their job is a journalist. You know, they're not a computer, scientists or a, you know, a I neural net master or something like that. Obviously, they're not really going toe fundamentally understand the technology, and as such, when they as well as their editors as well start, you know, formulating their pieces and editing their pieces, they either completely miss huge important parts of it, or they just completely get them wrong because they don't understand the technology The other reason behind this is that major news sources try and focus on a lot of things in very broad, you know, terms. They might do one piece on self driving cars every three or four months or something like that, whereas a niche blawg or thought leader or someone who even works it's a Rubio or Tesla or something like that who is literally on the team building. The technology will be tweeting about it every day, posting about it every week or whatever it might be. And you get these updates in much more real time and concede the developments and get sort of firsthand knowledge. Often try and always source your sources from the, you know, the mouth of the person who's talking at whatever that might be. It might be a news article from someone interviewing, you know, the head of Tesla's neural net self driving division. Or it might be research paper that you're literally reading the paper, not a news article about the paper. You're actually reading the the new, the scientific paper itself, getting right to the heart of the matter and really understanding the technology and where it's going and getting the most up to date, you know, and realistic versions off what the technology is after you found a number of these sources what you'll most likely find, And as you listen to them and read about them and continue to follow them, you often find that they will introduce you to other new related topics that might be to do with your field year. And maybe it's more. You know, neural nets in general was opposed to just specifically neural nets that had used to produced self driving, cause whatever it might be, this will also help you to sort of get a broader overview off other things that you totally might not have been aware off that could actually end up affecting your job or your business. That helps set of broaden your horizons and learn about things that you otherwise just wouldn't even have known to investigate in the first place. If this new technology or the one that they're teaching you about seems relevant, you might create a new folder and then add even Mawr sort of thought leaders or, you know, niche blog's or youtubers that, you know specifically talk about that new particular topic to that new folder, and eventually, after a while, you'll end up with multiple photos from multiple different sort of technologies or subjects that maybe they just interest you. Maybe they're pertinent to your specific industry. Or maybe there really relevant to your explicit job that you're doing. And you want to follow all these sorts of topics and technologies to know where they going . Are they reaching that critical point where it starts to become a serious threat to your job? Or are they just something that's not really very serious? And you can just ignore them as a fed and maybe continue to read up about them because you're interested in them once again there, even if you're reading up about all these new technologies and maybe you've been reading up about it for a few months, and there you fully understand all the information in the basic math and your nets about self driving cars or whatever it might be, you fully understand the actual technology. It can still often be hard to tell whether or not it's a serious threat to your business, but thankfully you have something that you know someone else who might be reading the same information doesn't have, and that is, hopefully a very good understanding off your own actual industry in your own job. So someone who isn't a taxi driver will have a very different view of self driving car technology to someone who is a taxi driver. If they are a taxi driver, they can use that knowledge of the industry to help assess that new technology. You know, I don't personally know much about the taxi industry at all, really, and I assume that self driving cars will completely take over from taxis eventually when they get fully invented and rolled out. However, if you're a taxi drive, you might know of off. You know, maybe there's Scenario A and B, which, you know sure, self driving cars can do. But there's also Scenario C and D and E where they can't do. Yet, for whatever reason, it might be. Maybe it's, I don't know, helping disabled people around in disabled taxis, whatever it might be. A I'm just spinning things off the top of my head here. But my point is, you use your experience off your industry to help assess that technology like no one else. outside of your industry. Can you've got that 5 10 20 However, many years of experience about all the different parts of your industry, you can help assess whether or not you know, this new technology will actually be is transformational as people a shoot it will be, you know, if you're a garbage truck driver and you know that self driving cars are coming. You know, it's pretty simple to assess that it's gonna big impact on your job because obviously, self driving garbage trucks there gonna be a hell of a lot cheaper to, you know, maintain and run and do everything for and having a person sitting in there actually driving themselves. You might know of other things like having a garbage truck is generally on a specific route , which will make it an easier technology to develop. Then you know a general overall self driving technology where you've got to account for all the streets and allow the freeways. Garbage trucks generally just go on their own specific route. So all these different types of things that you can take into consideration and along with that learning that you've been doing about the technology really get a good assessment going of whether or not this technology will be a direct threat to your job or to your industry. One final point is to also make sure that while you're assessing the technology, don't just think about the initial impact off it. Ah, lot of people fail to do this. They'll say something again, using self driving distance. An example. They'll say that, you know, self driving will replace trucks. Truck drivers. You know they will no longer be needed because the self driving truck will just do their job for them, and that's where they end their thought process. But there are a lot of other jobs out dead that are there simply because there are truck drivers. They, you know, they stopped to get food. They stopped to go to the toilet. All these sorts of jobs, you know, they may still exist, obviously, but they might decrease or get disrupted significantly once those truck drivers disappear. That's another important thing that you need to take into consideration when doing this type of analysis on these new technologies that come out. So to go over and just sort of recap what you want to do is gather up sources that regularly discussed the latest innovations in your industry. You want to read them regularly to learn about new and upcoming technologies, and then you use that industry knowledge that you personally have to help assess these new technologies and see whether or not they're relevant, and find out truly whether they are actually something that can disrupt your industry or whether they're just a fad that you could probably ignore. And from here, you should be able to sort of narrow in on a subset off really important technologies that , you know. Perhaps he started off with 10 of them that could potentially impact your business. But now you're only focusing on two to that maybe, you know, really, really important. And you see a really big risk in terms of whether it can kick you out of a job or really disrupt your whole industry, whatever they whatever that might date. So once you have those two or those couple of points that you've narrowed in on, then we can start to do a bit more investigation, which I'll talk about in the next part. I'll talk to you then 14. Section 5 - 3 - Identifying Your New Position: alrighty, so you'll know that you're in part to when your business starts to sort of tinker with that new type of technology. Or, you know, maybe they start to automate a bit mawr. Or maybe they're feeling a bit of pressure from perhaps another competitor that's using this new type of technology. So example of this might be at supermarkets or grocery stores, where they're sort of automated a little bit, and you can see that they have those self check out counters as opposed to having everyone just do their general. You know, groceries on the conveyor belt like they used to with a person for each person or another example might be with Cuba. How that has kind of started. Teoh really impact the taxi industry, and people are starting to get disrupted as a result of it. So in this sort of scenario, when these sorts of technologies or automation start to creep in, what is often the reaction of most people in the industry or the companies themselves is it's usually either one of two things. It either laughing at the technology or ridiculing it that you know will never become anything fantastic or the other side of it. If it is very obvious and clear that it's disrupting or something like uber is that they get very angry at it, they lash out of that. They try and, you know, legislator to get legislate against it, or they might try and just generally attack it in general. So these are sort of really, you know, red alert stages when you know that you're in this sort of section two off this strategy that we're talking about. So that's at this point where you as your in person inside one of these companies will have to sort of, you know, take upon yourself to determine whether or not this is a a really significant threat on. You know, something quite rube are taking down the taking on the taxi industry. I think it's pretty clear that that is a very serious systemic risk to the entire industry , not just one particular taxi company, but the entire industry. On the other hand, if you get more, you know, different technologies that maybe they've been in research and development for 10 2030 years and they're still in the very early stages. You know, people might be talking about it, and they may even be ridiculing it and laughing of the technology. But it's pretty clear that, you know, it's not gonna doing you think drastic just in the moment. But it's still something that you definitely want to keep an eye on. And this is what I'm talking about in regards of using your own sort of common sense to help determine how much of a threat this new particular technology or this new type of automation. Marty. So another big factor in this sort of determination on how serious the technology and threat might be is whether or not it's software based or hardware based on. We've talked about this at length before. Generally speaking, software can, of course, be rolled out far quick and hard Web. But at the other end of it, do be aware that hardware can actually be rolled out quite quickly these days. I mean, you're not talking about overnight or in a week or anything like that, which a software update or a new Apple program or technology very well might be released, but you're still talking about a couple of years, which for a lot of businesses is far too quickly for them to totally pivot away from what might be their core. You know, money making raising for existing. Sorry. The other aspect is the types of regulation in your specific industry. So if you're in something like the medical profession, or perhaps aviation all you know, areas where the regulation around it is extremely dense and even amazing breakthroughs that everyone desperately wants UNAIDS, they start, can take many, many years to go through the proper procedures of getting tested, getting trialed and having regulations written and approved for them. So obviously, in these industries, that's gonna take a lot longer for even the most revolutionary technologies or automation things to get implemented and come in as an actual threat to your business or to your position in the end there, what you want to do is tow sit down and have a good hard look at, you know, perhaps one specific technology. Or it may be a handful off multiple technologies and decided determine what the likelihood in your specific use case with this specific technology in your specific industry, what is the likelihood that this convict come a serious threat to your business? What is the likely, you know, percentage chance that it's going to be a serious effect to your personal job. If you do end up deciding that you know, yes, something like about is a critical threat to you as a taxi driver. Whatever you might be doing at that point, you gotta want to start to look for another job, and this is one of the key parts off the strategy, and I know it's very difficult to sort of do for a lot of people, but we'll get into exactly how the best way of doing this is now. While this premise of having to go find an entirely new job potentially in an entirely new industry is very scary for a lot of people, it's something that you know as much as you may hate it. It is the best thing for you to do. As I stated before in one of the earliest sections. It is not an acceptable approach to just stand still and ignore these types of things of you, you know, identified this risk, this new technology, this new level of automation that you can see coming as a serious, you know, big risk to your company or to your position. Sitting there and doing absolutely nothing is just gonna be the worst thing you can possibly do. You end up paying the employees equivalent off cardiac or Nokia and basically end up getting fired or made redundant, or perhaps something even worse. At that point, it's even doubly worse because not only are you essentially thrown out, not on your terms, but usually what happens is it's a very big, disruptive period for the entire industry. And whilst yes, you might be out there looking for a job with your unique skills and abilities, there's probably gonna be a large number of other people with very similar skills and abilities that have been through the exact same cases you did. You know, perhaps there's 1000 taxi drivers that have been laid off in a couple of weeks judo and you flee rollout of autonomously driving ubers or something like that. So, rather than having to go and apply for a job as you yourself with, you know, the standard amount of competition that is out there daily when you're trying to get a new job, you're now out there with 1000 other people that look exactly like you that have exactly the same skill set is you, and it makes it 1000 times harder for you to get that job. So it's not just hurting yourself in the respect that you no longer have the choice of wind to go out and search for a job. But when you do yet you lie it off for something bad does happen. You're at a significant disadvantage at that point when you do that. Now, the good news and the upside to this is that with your rating and research, instead of keeping tabs on these technologies, as I described in Part one, you will be probably one of the best qualified and best you know, able to see these trends coming in to see these automation, zor technologies or whatever it is that might possibly displace you as an employee coming as soon as possible. And you also know about those technologies and be our to essentially go in search for a job before anyone else even sort of notices that this, you know, technology or automation is slowly creeping in. And I know again it's very scary for a lot of people, So I'll be going through a lot of good examples on exactly how this is done in the next four sections. But for now, we'll keep sticking to describe in the second part off this strategy. So when analyzing this, it really does depend on whether this oncoming technology or automation, whatever it might be a is going to affect just your particular business, whatever it does, whether it's going to affect the entire industry. So again, going back to that uber and taxi driver. Example. If you are a taxi driver and you see that autonomous cars and uber and all those sorts of things that probably going toe destroy your job in a few years, moving to be another taxi driver and a different you know, business is obviously not gonna help very much. Sorry. This is one of the key things that you've got to decide. Try and figure out. Does that technology affect just your business personally or your position personally? Or is it an entire industry wide thing? So it's a very important first consideration. Another second considerations more personal, and that is whether you want to use this opportunity where your changing jobs anyway to actually change careers at bid as well. So this is often quite a big interest for a lot of people out there that might get a little bored doing the same job for 10 or 20 or 30 years, whatever it might be, this is a very good opportunity to actually change jobs and also change careers as well. And example of this might Bay, say, a mechanic who's fixing personal people's cars or their life. And they want to sort of gettinto, um, or maybe administration all job and maybe take care and manage, say, fleet cards for someone like Uber. You know, it's a very similar job position to being a mechanic in terms of dealing with cause you're dealing with fleets of cars on a daily basis. But it's a bit of a career change as well as a job change. So these are all very important things, and I'd actually suggest pulling out, creating a document just sort of to go through a couple of these points. So one of the 1st 1 as I said, is, Do you want a totally different career or just a slight change? You want to answer this question. You also wanna answer. Is it just your business that's in trouble, or is it the whole industry? Other ones are what promising new technologies are there that also require your specific expertise. So this is how you can really narrow in on new technologies that the actual technology component might be new. But they still need a lot of background information, that specific knowledge that you actually may have and can bring to the table when you're looking for a new job. Another question is what new companies could use that industry knowledge or expertise that you have. And finally, which of the new technologies interest you the most? So if you're going to go into a new job, you may as well do something that you're actually interested in. I'm sure one of the new technologies will be, you know, pique your interest and be quiet, you know, interesting to use a maze. We'll look into that and learn a bit about it. So by creating this list and sort of narrowing in on the technologies and your personal interests and sort of marrying these together, you can hopefully get a feel for sort of two or maybe three types of positions or businesses that you know really interest. You have that new technology, have, ah, prosperous future and can make for a great stop. This start is obviously changing jobs. And as I keep saying, I know this is a very scary thing for a lot of people to change positions, which is why I will be covering it in a lot of detail in the next part. Which part? Three. So I'll talk to you that. 15. Section 5 - 4 - A Silky Smooth Transition: sir, if you're saying that your company is really heavily starting toe automate and you know doing it too many, many different parts of the business. Or maybe you're saying that that new technology is really starting to disrupt your company , and it's really starting to sort of hit them at their bottom line. Then you could be pretty aware that you're in the part three of this strategy. So an example of this might be Amazon, where they currently are now, where they still have human employees in their fulfillment factories. But on the other side, they also have thousands and thousands of robots that progressively automating mawr and more tasks as the years go by. So if you haven't done much work and you know, on those previous two parts and you're finding that you're currently right now in that you know part three of the strategy already, you do, you know, have a bit of catching up to do. You don't have much time before that industry gets, you know, irreversibly disrupted, or you know that automation potentially takes your job as well. However, if you have been, you know, monitoring that technology and during those part one and two, other than you being a really good position to take the next step. Now that next step will be, of course, going into a new position potentially add a new company or even new industry. And in this particular section, you will be wanting to really focus on those main two points, which is learning about the technology and also trying to implement or actually use the technology so he might want to be doing you know, obviously we doing that reading up all that that you've been doing in parts 12 you might want to take it actually further. Now that you've narrowed in in part two on those specific you know, maybe one or two technologies or two or three or four businesses that you want to specifically target. You might wanna take some online courses you might wanna take some night classes, something like that to really get up to speed and really sort of organ main. Your traditional skill said that you already have. So to give you a quick example of what this might look like, just imagine that you're a regular truck driver and you know you've been doing those parts one and two and you sort of seen that. You know, autonomous driving of all types of vehicles, including trucks, will eventually, you know, one day replace your job. It's not currently right now you can see that that technology can very quickly turn from, you know, being in the research phase two actively displacing you and others from your job. So you've gone about, you know, learning and knowing about this technology and monitoring it. And the next step you might want to do is to start taking classes in, for instance, a fleet management. So rather than being an actual truck driver, you might be a fleet manager off a number of autonomous trucks. Now, obviously, this is a bit of a different career path, and you would obviously, you know, maybe you'd have to take a night class or something like that. But the benefits of doing this in this particular stages, you still have a job. You still have, you know, solid good employment. And you can do it on your own time toe a particular type of technology that interests you. You know, maybe it's not fleet learning. Maybe it's something totally different. Maybe it's the maintenance of the trucks or whatever it might be. You combine that new technology with something that interests you and your existing skill set. So all this work results in you potentially becoming you, possibly even getting a promotion toe a fleet manager, for instance, and you've essentially moved from that all position into your new position. That is now, you know, basically guaranteed to not get get disrupted by their technology. You know, all the other truck drivers that are out there might start losing their jobs as that automation technology does. Tom Meaning goes from that research phase to the actual rolled out product phase. And whilst that is a terrible loss, you know I'm looking toe say that thousands of dancers of truck drivers losing their job is a good thing. It, unfortunately, is the inevitable thing. And as I keep coming back to, it may be a terrible outcome for those people that are truck drivers. But the very least you can do is secure your unemployment and make sure that you are good in the future. So the other side of this is that if you do this research, if you do this pro active learning, and you bring that knowledge and expertise to the company's or to your own business, even because they may be actually looking to do it. It's very likely that you know they're going to see you as someone who is obviously willing to learn new things That's always a good trade toe have. But not just that. You've still got your previous many years of expertise. So these new companies, that might be, you know, a completely new company, for example, trying to roll out these autonomous trucks will be missing that, you know, huge legacy knowledge, all that, you know, experience you've gained over the past 5 10 20 years. However long you've been driving trucks for, that is invaluable experience that you can bring to that new company and sort of marry that with the new technology and say, Well, you've got this new technology. However, you're probably not aware of this really important niche thing that always happens to all trucks. We need to take account for that with your new technology that can save them a lot of money that can get them to a product far, far quicker, and they're gonna be very happy to have you on board with your, you know, possibly decades of expertise to do this. However, it all stems from that initial point off rating up and learning about the technology. You know, if you're a truck driver and you don't even read up about self driving trucks or self driving car technology, you won't even say that coming. You won't have that ability. T o see the technology coming. Realize and make the connection that it is a threat to your job or York industry or position and then make that shift into the new position. So this is the kind of process that I want to get across, and this is what this strategy is all about. Also, you may not even need to goto a different company or a completely different industry. Chances are that again, using the truck drive off as a good example, chances are that your current business doesn't want to just roll over and die whenever on starts using automated trucks and self driving trucks, they're going to be either potentially already looking and researching into this technology or, you know, if you bring that technology to them and say Hey, this is something that requires your attention. And I can help you lead near the charge on that particular technology because I know X one said about it I've read about and taking these classes on it and all this sort of information. Plus, you have all that, you know, experience of actually driving their trucks. They're gonna be very happy to, you know, help you get into a higher position if you help them. You know, Todd expenses and move into that new type of technology and continue to compete with the other competitors because he could be guaranteed that they will be doing it. So companies, as a general rule, don't particularly like to fire a lot of employees. So there is an opportunity that you can come to them and say, Sure, this is going to affect my position. But you put me in this new fleet manager position or whatever it might be, and I will also help your company. They're going to be more than happy to do that for you because it helps them. They get to keep you as an employee. They don't have to go through the horrible thing that firing you and during redundancy packages and all that sort of other stuff, so it's in their best interest as well as yours. So if all goes well at the end of the transition, you're now working in potentially new position in your same in the same company. Maybe you're working in a new position in a completely different company, or maybe even a completely different industry. Whichever the case is your now happily employed in that new position that makes use of that technology is a bit more, you know, insulated against that technology, totally disrupting wherever it was that you used to work. As an added bonus. You're also most likely doing work on a technology or an area or industry that really interests you, because that was one of your key things in your document to try and narrow, you know, in a company or a technology that actually interests you to try, differentiate between maybe the two or three disrupting technologies that are coming on. So you're in your new position. That might even be a higher paying position, and you're also doing something that you know potentially interests you. Now your old existing company, they might still be struggling a little bit or might be, you know, more heavily automating this sort of thing. But they're still in quite a good position as well. And in terms off your success and your future, it only gets better, and we'll cover that in the next section. 16. Section 5 - 5 - Happily Ever After: all right, sir, we're in the last part off the strategy part fall. And in this part you should already be in your new position or in your in your company and position or entirely new industry. Perhaps even. And one of the big benefits of this is that if it's generally speaking with the new technology or a new bunch of automation, that usually brings with it a lot of cost improvements, efficiency improvements or, just in general, a new business model of itself. So what can often happen in these instances is that basically a rising tide will lift all boats. So you being in that company, it'll make it easier to sort of get a raise, move up in position or just generally get a better result, basically, because that company as a whole should be getting better results. With that new technology, you know, it'll just be naturally growing. So this is one of the best set of benefits of doing this strategy, and it will also mean that you'll be out of look back at your old position or your potentially old company or even industry, and, unfortunately, basically watch it either collapse or be really heavily automated and have a lot of the people that used to work there or that you used to work with, basically become unemployed or made redundant and that sort of thing. And while that's not exactly a good thing, I'm not saying it is. One benefit that can come out of it is that because you are now in potentially a new business or a new industry, you can often help those people make that same transition that you've done. You've shown the path essentially, you're already have your foot in the door. Basically, you can potentially help those people that made get made redundant or something come on board. If you know that they're good workers, that they know that stuff, they're intelligent people and can help the business. And again, if the business is new, if it's growing, it's gonna be wanting new people to employ good people that know about the technology that have that same level of experience that you do, and you can help provide those people with at least some form off transition. So that's a very good upside off, you know, being already employed and making that switch myself. So now that I've gone through, not just the overview of the strategy but each of the individual parts and covered them and a lot more in depth nature. We're going to go into the next section, which will be actually a very similar profile for each of the next four sections, where we'll go over in each of them industry. I'll give you a very quick overview off that new industry, though an existing industry that's really quite booming and has a fantastic future. Then I'll go into that industries specific sort of future opportunities, and I'll even list off a number of potential jobs that you know you can continue to move into N. After that, I'll go through the most important part of each of the sections, which is a very live example off how you can go from being in a traditional, you know, everyday normal job that you might have now, such as you know, being a truck driver and using that skills to actually jump into that new technology and that new industry that will be benefiting large from the future. So we'll get into that next, and the very first section is on cybersecurity, so I will have a chat to you about that in the next section 17. Section 6 - 1 - Cybersecurity - Industry Overview: alright, it's And now we're going into the first of the four examples and that is on software security or cyber security. There's a number of different names for it out there, but all generally speaking the same thing. I figured this would be a very easy topic. Teoh come into first because hopefully everyone knows about software and everyone knows how important security is on that software. So it should be also well known that software is essentially eating the world. It's creeping into every business into every industry, even ones that traditionally weren't, you know, really seen as particularly computer orientated or needing, you know, absolute computers and all that sort of stuff, something like, You know, coal power plant or something like that. Even those things are really getting, you know, quite ingrained with computer technology. So it's really getting into every industry, and not just that, but it's helping them become more efficient, get better customer bases and all sorts of good starts. So ah, lot of industries air taking on computers, which means that along with taking on those computers, you also take on the risks off those computers, which is the security aspect of it. So everything from the more traditional ones such as, you know, energy power plant right up to the absolutely most tech savvy companies like your Google, your you know, Facebook, all those sorts of things. They all require a huge amount of software security. And it's becoming increasingly mawr, you know, important especially for those really big companies, all those really big energy providers, that they have really cool and critical software security. The reason for this is that the big of a company is essentially the Mawr cyber target they become, You know, as a company usually gets bigger, they become more powerful than have control of our larger Darder set off information about that customers they might have control over, you know, particularly large energy source or something like that that makes them really, really big targets. The same as, you know, having a bank with lots of money in it makes it a huge target. So sub security in itself can encompass a lot of things. And these air, you know, threats and issues such as, you know, you have your basic virus and malware security for you everyday systems like out local word or something like that. You also have breaches off Cos databases. So things like hackers hacking into a company's database and stealing all their customers or their passwords or something like that. You have cyber espionage from both other companies and other nations as well. There's been lots more to talk about that recently, and this can come from anyone by, you know, just a small child in the basement somewhere right up to a completely nation sanctioned attack from dozens and dozens of people. You have ransomware threats that encrypt your daughter's. Cities have also have been happening recently without encrypt your entire hard drive and only give you access to your data. If you pay them a certain feel ransom, you have the DDOS attacks or you know anything else that prevents companies from actually operating. So Adidas attacked Mont, actually shut down, not shut down your website, but make it unable to be accessed by other people. And if people can't access your website, they might be out of usual services, severely disrupting your company and you know, many, many more. Every company from big to small now needs essentially world class cybersecurity, and that's a fantastic thing from an employment perspective, So let's get into having a look at that now. This threat of cyber security and people hacking into systems can really be anything. You can even have huge multinational companies having their entire database stolen simply by one very small bargain and one single person basically exploiting this bug and getting a hold of, you know, sometimes gigabytes worth of data of customer names, Social Security numbers, their credit card details that passwords for other services. All this sort of really critical daughter. And it's goes even further than that because, you know, whilst you have the original hack, which again might not be known about for many months or even years in some cases, that is obviously very damaging to the company. But it goes beyond that because it also affects people's perception of trust in that company. Can I trust this medical provider to take care of my medical daughter and not get hat? Do they have proper security? It's something that is ever present and just basically growing exponentially as the power of computers increases and as computers get mawr more integrated into more and more of the systems that are out there the other thing that sort of throws a bit of ah, you know, wrench into it is the whole aspect off machine learning and a art. Now what a I can do is it can sort of create entirely new threats. But what its most progressively being used for is to essentially take the old tricks that you know, might have been very basic and just commonplace, and that we now fight against very easily and sort of put a new spin on it. So the good example of this is just, you know, spam emails or phishing emails if you don't know what they are. Basically, they're just emails that their sole purpose is to other sell. You buy a girl whatever in my bay, or to get you to click on a link, which then takes you to a website that is very malicious and downloads viruses under your computer or whatever their intent, my base. So these phishing emails might obviously want to try and get you to click on a certain thing, and previously they have to be very generic. So if they're sending out millions and millions of these emails toe ever on all over the world. You know, they just have to be a generic email, you know? Hey, John, check out this fantastic cool thing I saw. You know, it's very generic. It's very impersonal and very easy to spot because there's millions of emails you can't go out and individually talked out all these emails, but with a I machine learning you can actually have that combined with each other and, you know, get quite a sort of partner results. So just as a quick example, you could have that same phishing email. But instead of a bank, you know, Hey, John, check out this thing or, you know, very ambiguous type thing. It could actually scan through any of your publicly available profile, say, Facebook or you Twitter account anything that's actually personal. Scrape that information, get your name. Maybe get one of your contacts that you tweet to really regularly or something like that and try and impersonate that person in order to try and get you to click on that link More likely. So instead of that being totally generic, it could say, you know, Hey, Bill, this is you know, Bob from that company that whoever Bob is employed on. I want you to check out this really cool thing on drones because it seemed that you know, you have a contact called Bob that you tweet with really often. And you also talk about drones really often. So this whole email looks much less out of place. And this is something that is highly personal and highly targeted specifically at you and only you and the chance of you going. Oh, it's an email from Bob. I'll just click on that link cause I want to find out what that cool thing on drones is about is much, much higher. And they can actually get you to click on that link far more likely than if it was just that old, tired generic email that you would look at and go. That's weird. It's obviously a scam. Get rid of it sort of thing. So this sort of marriage of new technology and basically old scamming techniques can really bring about something that's actually quite serious and quite dangerous, even though it's a very old and quite easy trick. Another recent example was someone who is just essentially curious and decided to do a bit of a scientific study. So they weren't trying to be malicious that although doing this for research purposes that actually wrote specialized code and rented out ad space. So they purchased ad space that would be displayed on people's computers. But instead of running an ad, they ran specialized code to mine cryptocurrencies. So when you went to whatever side it wasn't, it didn't have to be a compromise side or anything. It was just a site that displayed those ads similar to how you see Google ads or Facebook ads on other sides. It would display that ad, start running the code and start using your computer's power to mine Cryptocurrency for that person and their results were very, very successful. And again, this is just, you know, an old sort of trick of inserting specialized code in tow ads but with a new twist of using cryptocurrencies to actually make the person money as opposed to, you know, infect the computer with malware or whatever that we're doing previously 10 years ago. So these are all examples of just how this, you know, new technology, new developments like a I like cryptocurrencies really getting used together with those just everyday old tricks to really bring about very serious threats, and this is today as well. You know, it's very widely acknowledged that basically everything is broken. That software is really, really not well secured across many, many different types of things, whether it's your operating system to the actual hardware, too, even the specialized security encryption stuff that I had there. And that's a very, very difficult problem to solve and has been for many years. And that's why it's not solved. And this is all today. We're not even talking about in the future, where technology and new systems are poised to exponentially increase and get Mawr integrated, Mawr developed and waste modest. That's what will be covering next, which is this industry's future, so I'll have a chat with you. 18. Section 6 - 2 - Cybersecurity - Industry Future And Focal Points: so looking to this specific industries future, we have more and more computers that have been created. We have more and more computers that are being sort of inserted into various different parts of our lives, from originally computers to laptops to mobile phones to smart watches, two tablets to now security cameras that you know, computers or even in fridges. Or you've got the Radha's televisions that you know. It's starting to really actually not just get into every particular niche and part of your life. But they're actually disappearing as well, on becoming much troop up much more, you know, prevalent in everything we do. So we've got a huge way expanding number of computers, and we've already, you know, got this system and set of software and hardware systems that are already severely broken. So adding Mawr computers and more complexity to it is obviously most likely not going to help that broken state off security and how well things are actually locked down. So, on top of all this, you've also got you know, your AI and your machine learning, which again, progressively making those previously old tricks that required either very generic spamming or very high level manual tasks to now be fully automated and fully, you know, perfectly executed as you would every single time already. A. I has the power to mimic entire news articles. That's currently entire publishers out dead that regularly produced basically news feed and articles and pieces that they present to the public, As you know, a humanly written by normal regular article writing people when in fact they're actually written by machine learning algorithms, and these ones are automatically producing over 1.5 1,000,000,000 stories annually. And imagine a program on that sort of level, that type of sophistication also having access to something like, You know, your personal details, any type of public information that you've posted out there say on again your Facebook or Twitter or anything like that, and then trying to basically write one of those phishing emails to try and get you to click on that link. This is the sort of you know, basically thing that we're up against. In the thes cybersecurity experts are up against trying to fend off against these highly personalized emails. You know, it could mimic your mother. You could say that it was her it could come from her email address, and it could be talking about something that she regularly talks about because you know, you've been talking about it in a public place, such as on Facebook or Twitter, and you would click that link every single time. And security experts have to see that plan for that and try and mitigate those sorts of brand new risks that are coming into the fold. Another thing that AI machine Learning Canoe is actually automate the process off security ordering. So usually when a program comes out and it wants to be independently reviewed, you'll have security software. Security experts sort of go over the actual program with a fine tooth comb. They know what to look for in terms of potential Boggs or exploits, and they can identify for good or bad, whether that code is secure or whether it can be exploited. Now you've got huge amounts of conferences that do this every year. They tried hacking to, you know, browses operating systems, and companies can even pay out multi $1000 awards for these people, demonstrating how they've hacked into their systems so that they can gain. They can then go and fix it, and they don't actually suffer those breaches. So it is quite a big industry already. But this is something that machine learning actually do even faster than humans that you can taken in. Put off the programs curd and sort of output, all the potential exploits or problems or issues that that program might have now this is obviously birth, you know. It's kind of like a double edged sword. It's good and bad. It can be used for good. It could be used to very quickly, you know, review self wearing Oh, there's all these bugs and issues and problems that we need to fix with it and make it more secure. But at the same time, it can also be used by people with bad intentions to analyze Coding gate. There's a really quick way I can get into that system, and off they go. So these the types of things that iis bringing to the table and machine learning is certainly a very, very big part of software security and cyber security. At the moment, it's also being used to detect viruses as well. Traditionally, there were lists of this is a virus search your files for this virus. If it's there, you have divorce you very simple list based anti virus systems nowadays, a lot of AI anti virus programs they don't. They also continue to look at those sites types of things. But they also look atyour computer as a whole. And if they see a certain pattern off any far, even if it's not identified as a virus, if they see any pattern off, you know, starting to delete lots of farmers you know, copying files into critical windows or system files or something like that behavior that looks like it is a virus or Mel where that will be recognized and alerted. So it is both a good and bad thing having a I and obviously both sides are going to use it . There's always been your the black hats and the white hats when it's come when it comes to solve security. But I I is just taking this to the next level now, while knowing can you know 100% accurately predict the future. What is very clear is that as I said, I I'm machine learning will continue to be very big parts of this industry. But beyond that will be having a lot more devices connected, which means we'll be having a lot more sources and potential destinations of where these hacks and security issues will take place. You know, previously, it might have just been your computer that might have been hacked. Now it could be your rather Now it could be your camera. Now it could be your television or maybe even your wristwatch. Many, many more vectors and places that they can attack and cause issues and damage turf. On top of that, With this increasing number off devices an increasing number of tools, the permutations about how they can make these attacks is increasing exponentially as well . So it's not just the fact that you had previously one type of attacks a phishing emails as well, describing before. But now, with these new tools, you can get multiple different ways of using that you can either descended as a generic email, or you can use a I machine learning to send it as a really personalized email that is much more successful. So you have multiple different ways to use what is essentially the same. Original tactics are more devices more ways of attacking more permutations. It's all laid in tow, a huge increase about cyber security and, you know, having to deal with this issue as a whole. So 10 years ago, if your company was hacked or you know your systems were compromised, the dollar or the access level that they got while it was obviously a bad thing, it sort of pales in comparison to what the access and the critical daughter that they get today. You know, 10 years ago, someone hacked into a company. Maybe Dade put malware or spyware over their computer and try and sell you Viagra pills or something. Can you need to call someone into going, you know, clean at all the computers and, you know, obviously a bad thing. But it's flexible today, you know, In 2017 we had the bridge on Equifax, where essentially half of all Americans you know, personal details and financial details were stolen things they can't change things like Social Security numbers or their name and date of birth, those sorts of things that the critical pieces of secure information that detente change and is now in the hands off criminals, one Russian so There's this obvious sort of increasing ramp up off the level of detail and Dada that computers of storing and becoming more and more serious. And I can only imagine what it will be like in another teen years. You know what type of data will be out there for people to steal, essentially via cyber attacks? Will it be just your financial details of your personal details? Will it be your current live health status, or will it be all your previous addresses or, you know, I can't even imagine what that information might be, But it's clear that it is going to be continuing to escalate in importance. So the importance off keeping that, you know secure is obviously going to be more important to now. I know a lot of this talk again might stand very ominous and worrying and disappointing and scary that, you know, in another 10 years, who knows what data they will be out of steel. And it's all Birkins. You know you won't be able to do anything, but this is actually why I wanted to start with this particular industry because whilst there are a lot of things to worry about, it represents a huge opportunity, and people are just gonna ignore security or, you know, not pay for it or anything like that is a huge, ongoing issue, and it will continue to obey. As such, I see it as one of the most employable sectors in the future. There's gonna be a huge need for, you know, security analyst. People that know had a right good code that is nice and secure and doesn't have bugs in it , or people that need to review those those types of code four bugs or security breaches. There is gonna be a lot of work that is done by machine learning or are. But there's always gonna be a need for those people there to work with a I Windows systems , whether it's anything from riding the actual code itself, to monitoring the programs as they're rolled out. So join me in the next part where we'll go over a number off potential jobs. That might be, you know, there currently are there and will be in the future for cybersecurity, and we'll also go over the critical live example that have been talking about where we'll get to see the actual strategy in use. So I'll talk to you then 19. Section 6 - 3 - Cybersecurity - Future Employment Opportunities And Example: so hopefully after means to you. Now that, you know, sob, security and software security is a huge, huge industry, even currently, and that you know it's only gonna go one direction. It's only going to go up as Mawr computers role at as they become more important with MAWR , important data protecting that infrastructure and you know, software and data is going to be a lot more important. So if you're in traditional security like physical security or, you know you do programming as a hobby or you're just generally interested in programming or cybersecurity in that sort of instance, maybe or a bit of a cryptography nerd or something like that, whatever it is about interest you, it's a really, really good field to consider as one of the major, you know, employment opportunities in the future. So toe look at those types of future employment opportunities. There's things like management. There's team leaders, anything along the lines off project managers. There's also the entire research and development area. There's I T infrastructure deployment. There's things like 24 7 monitoring technicians. There's teachers for basic and advanced software, security knowledge and many, many more that are out there that you can actually get into. It's not just, you know, the hard core hacker type sort of profile that a lot of people think off when they say side of security and jobs inside security. So people often that sort of get this part wrong in thinking that when a new technology comes out, or when an existing technology that is very big, something black, secure cybersecurity, they instantly go to You know what you see in the films? We have the guys and the hacking on computers, and they're super smart. And there wizards with computers, anything that's not may I can't do that. So therefore, I don't have a position I can't possibly get into that field. And they stopped brought dead that this is in the case, you know, in reality, in the real world, not in Hollywood. There's often a lot of supportive roles to go along with that. Sure, there are those roles as well. If you're really, really smart of that stuff, fantastic, obviously after that. But you know, someone still needs to hire that person to work in that company. They need hey charred. To do that, you've got to do the interviews from five Net person. Originally, you know, the computer that that person's working on that is I t infrastructure that will need to be rolled out to the entire company. You know, we'll get refreshed in two years, you know? Is that his own personal laptop or is it a company laptop? You know, all those sorts of things need to be managed, and again, they also need cybersecurity. You know issues with them as well. You know, if you're rolling out a computer to the entire company, you want to make sure that it's, you know, actually safe, and no one can hack into it. So you don't need to be the absolute pinnacle of, you know, software security expert to get a job inside of security. There are a lot of other and celery positions, if you would, that are available. So let's dig into an absolutely first live example world recovering the full strategy from into end at about a person who is in an industry that completely collapses over a five year period and how they make their transition into cybersecurity or the industry surrounding cybersecurity. So, in part one, we introduced to the theoretical person. We're gonna say that they're a project manager and we're going to say that they work at a company that actually produces blue Ray DVDs. So in this first part, this mythical person is reading up on new technology, getting to know you know where the current state of technology is and where it's likely to go in the future. They raid up on things like streaming services such as Netflix. Obviously, that's gonna be very apparent. They read up on other things, like what is planned for the next iteration after Blue Ray DVDs and sort of try and assess all those types of technology in part one of the strategy. So in part two, this will be a few years ago. But this mythical person starts to see the world start to turn to more streaming services things like your Netflix, all those types of online streaming services. And it sort of dawned on them that, you know, perhaps this is in a new technology that might threaten their entire industry off, you know, printing blue ray DVDs. So he does even more research on it and finds that, you know, the industry does seem to be contracting as a whole, you know, In 2015 sounds of Blue right David days were roughly $21 billion. Then, later on, it was $18 billion the next year, and now they're forecasting that will only be $9 billion by 2020. So this is a brief five year period, which again, you know, five years is in a short amount of time. But in terms of a company and its entire profit, being essentially eroded by half in a space of five years is a very, very serious disruption. Now this mythical person has also always had a bit of, you know, underlying interesting cryptography and software security. So he starts to sort of focus on that industry and start to sort of look at a potential move into that industry. So in part three of the strategy, this is where our mythical person will start to really focus on one particular area. He's chosen cybersecurity, and he's also realized that, you know, obviously this industry off blue raises gradually going down and down, and it's very difficult to flourish in any sort of company that's in a declining industry. So he knows that he wants to move into a different industry. They know that it's in cybersecurity, and so what he does. He starts of reading up, maybe highest and books from the library for free and reads a couple of books, maybe raids online post, as I was referring to before you know he has, he's Faidley up and raids constant news streams that are coming in about Saab security. Perhaps he takes some online courses. Maybe he grabs a couple of old computers that he has at home and hooks them up in the network and starts trying toe use some of the new techniques that he's learned in the real world by hacking into each of the computers and this sort of experimenting, getting a lot more experience with it. After a while, he might even take some actual in real life classes. You know, night classes or perhaps even a short, you know, degree type class. Anything can get his hands on to really up his skill set in this SOB security section. After doing a lot of this study and continuing to do this study, another side part of this section is that you'll also be investigating potential new companies. So because he's moving into a completely different company in a completely different industry, he has a whole bunch of different companies that he can start to investigate. Start to find ones that really interest him. You know that they're not just doing cybersecurity, but they're doing it in a particular interesting nation that applies directly to him. So the other aspect of this is you want to try and find companies that obviously are looking for people to employ and, you know, have open job job postings. You can even sort of get those job postings, have a look what they're actually, you know, looking in terms of skill sets to hire, and then try and learn those specific skills. You know, if they're looking for a certain type of program that you have experience in Program X, take out a book from the library on Program X, try and get a copy of it. Try and play with it at home those sorts of things to really set of up your ability to get hide in that particular position that you're wanting to get now for this mythical person. As I said before, they are Project manager That is their core competency for the past 10 years or however long they've been there. There, you know, Main Skill Set was managing major project as a project manager. What I want to do with this new technology, that's new information that they've been learning about all this info on sub security. They want to take that core competency and added to the new technology so they might try and go for a position in, say, a leading sob security company as a project manager but knowing all about cyber security, knowing about the systems they used, knowing about the software that they use. If you're just a generic per project manager and you go for that position, you might have a shot at getting it. But if you know their systems, if you talk their language and know about computers and the you know, pros and cons of this particular program over this other program, when it concerns to cybersecurity, you're gonna have a much better chance of getting that position. And hopefully that project manager will be able to go into that new position under this section three off the strategy and take that new position on board. Now they're at a cyber security company in that particular industry, and perhaps they're managing, You know, major projects where they roll outside security software to other companies. And this person, this project manager is managing those projects of rolling at that new security. Now, after about a year or two of banging this new position as a project manager, this person in sort of, you know, look back at their old industry off Blue Ray DVD manufacturing and all that sort of stuff. And, you know, it turns out that that 2020 prediction of DVD is being a $9 billion industry was a little bit optimistic, maybe that only producing about $8 billion now, by the way, that's about a 60 65% you know, decrease in the overall industry as a whole. And as you can imagine, it probably doesn't have a very bright future. Whereas he is in a new company, an existing company with a new job and has a lot of you know, potential ways that he can move into different sectors or even get a better job, or even move to a different company inside that new industry now that he's there. So I hope you say that this general strategy in this example really makes for a compelling case because, you know, while initially this person might not have known really anything about cyber security or software security, then they have been interested in it. But they might not have known anything hugely about there, not a hacking computer whiz by any means whatsoever, even now that they're employed in it, they have been able to use this process to identify that their company or the industry in this case is, you know, gradually degrading. They identify that threat. They learn about the new technology or the new position that they want to go into, and they smoothly transition into that new role as a project manager at a cybersecurity business in that industry. All the while, they still have their job in that industry, and they can make that again, that smooth transition. That's what's about. It's an orderly transition. You're not, you know, instantly fired and have to panic and go crazy and try and figure it out. From you know, day one, they're doing this preparation over a number of months or a number of years, and it gives a much, much better result not only because you're constantly staying employed because it's less stressful. You get to make the right choice. You get to choose an industry that's actually interesting to you. Instead of just taking whatever gets offered to now, I can also hear a lot of people thinking that, you know, this is a bit of a once in a 1,000,000 case that maybe you're not a project manager with 10 years of experience or working in the blue Ray industry or, you know, whatever that my bay, that this is just a unique, special example that only applies to that, and that doesn't apply the year. So. As I said, I'll be covering many more examples like this, so I'll be giving you a lot more examples. This isn't just unique case. The next one. I'll be looking at an industry that will be affecting many, many, many people, which is self driving cars or autonomous driver. So have a chat with you in that next section, and we'll go through yet another example. I'll talk to you then 20. Section 7 - 1 - Self Driving Cars - Industry Overview: all right, So now we're moving from a well established, very huge industry like cybersecurity, into something a little more exciting and to a lot of people, a lot more futuristic as well. Which is the self driving cars? Now, according to there s a International, they have broken things up into a number of different sort of levels that classify how a car is, you know, self driving or self assisted, or the many different levels, as you can see here. Now, for most people, they generally agree that levels four or five around there are self driving or autonomous or fully self driving or fully autonomous. There's lots of different names for it at all. Essentially means the same thing, which is obviously the car and the computer inside, driving the car or its own without any human interaction. The main distinguishing points between levels four and five seem to bathe at that level, for you can sit in the car and you can, you know, generally do whatever you want. You can hop in the back seat of you want. That's perfectly legal. The car will be legal to fully drive itself and handle all situations level five takes it to a whole other level where sometimes they totally get rid of the actual steering will and the pedals. And it's literally just like a room that you're sitting in that is driving you around kind of like a partner or something like that. So those are the main to differences between level four and five, if you've been wondering, but in both scenarios, you're still looking at a car that will essentially fully drive itself. So currently, this industry is not quite in its infancy, but it's obviously still very big in terms of research and development. No one has that absolute final end product, fully self driving car that, you know, I can go out and buy for $20,000 or whatever it might be at that ever. I'm still doing research and development. Everyone's still testing their cars. And while it's not stuck in the lab or anything really far off in the future like that, it still is, for the most part speaking, you know, relegated to particular tech companies or particular car companies going around and, you know, testing their vehicles and testing their systems. And even though it's in this early stage of development that still is a multi $1,000,000,000 sort of industry. There is this huge sort of arms race going on where all these companies are desperately trying to get their product, you know, certified and legal and out the door. And, you know, basically get to the moon first, if you would. This is sort of had some quite profound effects you've had companies like Mobile I, which is a Israeli used to be a Israeli company, was bought out by Intel for over $15 billion. Absolutely huge amount of money, as you can imagine. There's also a recent lawsuit that went on between Waymo and Herberts, particularly over self driving cars and their Peyton's and all that sort of stuff. They ended up settling out of court for I think, about 240 yard $1,000,000. So there is a lot of money involved. This is a huge industry, and if the first company to, you know, really crack that self driving car and get that product out, whether it's Google, whether it's you know, Waymo or uber or test the whoever it might, Day is obviously gonna make a lot of money, so they're putting a lot of resources behind it. And it's certainly a very big industry, even though it's just sort of getting started in underway. And there's not just the sort of typical tech companies out there like your uber and like your you know, Google, who is basically represented by way Murphy. There's also the traditional car companies out there as well, like GM and Ford, who are also trying to develop their own self driving car system. So you've got multiple multibillion dollar companies for multiple industries all together, trying to essentially race each other to the finish line to make this amazing new products . As you can imagine, it is an absolutely huge, huge industry at the moment. If I had to, you know, try and envisage and pick a winner or whoever is, you know, closest to the finish line of developing that product to May. Personally, that would be way more of the company. Um, other analysts have done, you know their work and chosen other companies. But in most of the scenarios, Waymo very often ranks quite high, even on the number one. To me, though, they seem to be actually delivering on the product or not sooner than what other companies are doing. So if you're not familiar with them, Waymo is actually the company that got spun out from Google Way back in 2000 and nine, Google actually started development on self driving cars. It was part of the, you know, picks, projects, all the Moonshot projects. Their idea, obviously, was to build a self driving car, and as that progressed and progressed, it finally graduated out of their sort of Moonshot X laboratories, as they call it, and graduated into becoming a spin off company that's near part of the bigger alphabet sort of umbrella company out there. So Waymo while it sounds like a completely different company, it is in effect alphabet or Google. And it comes with all that legacy, development and technology that they did all the way back since 2000 and nine. So they've been working on this for a very, very long time. They've got their own, you know, personalized areas and car parks and driving areas that they do all these special tests on them. They've also got their Chrysler minivans that they have been driving around in Phoenix for a good while now they've just recently actually announced that they are running these for the public's. As a public person living in Finks, you can, you know, subscribe to this service and already right now, physically hop into one of these vans that will drive you around fully autonomously. Now it's a very important step that they took just recently, and that was to actually remove the technician or the person that was monitoring the car. Usually, when companies are running self driving cars, the cars themselves are driving by themselves. There's always, you know, an engineer or technician or someone monitoring the system. Sitting in the steering will, ready to take over at a moments notice. And this is true of virtually all the other tech companies or car companies out there doing their work. What Waymo has actually done is they're confident enough in their own systems that they've been able to take that technician out of the front seat, and I believe they have them sitting in the back seat, just sort of still monitoring what's going on. As I said, it's still, you know, Billy stages for this technology, but there is literally no one in the front two seats. If you hop into one of these cars off one of these vans, they will drive you around with no one in the front seat doing it all by themselves. And this is something that's already being going on for a number of months. And they even also announced just recently a What would you call it? A partnership with Jaguar, where they'll be rolling out upwards off 20,000 paces, which is the new premium sort of sedan SUV crossover type thing that will be fitted out with this Waymo technology and will be able to self drive essentially. So over the next two years, they'll hopefully be rolling out anywhere upwards of that 20,000 number. And these, of course, will be available to their customers as well. To hop into a you know, super fancy jag you a car and have it drive them around. You know, maybe they're a little higher up. Maybe they're an executive or something like that on one of more premium fancy cars opposed to just you mom and kids wanting to go to sport or something, which is what a lot of people use the vans for by the way, though. To me, Waymo seems to be the first along in their development. They take their safety extremely seriously, like a lot of other companies do. But they seem to have an excellent track record, their very open and transparent about their, you know, results and all that sort of stuff. And they seem to be, you know, close to market. They've got rial people from the public already in their cars, in their vans that already driving the Miranda in real life. It's not some you know. He is a development car, a prototype car or anything like that, which a lot of other companies they're still working on. They're actually that with the delivered product already. That being said that although they are furthest along right now, it doesn't necessarily mean they will be the winners. It's a space that both you and I will have to watch and, you know, see as different companies progress and how they roll things out. Perhaps Waymo will have a huge accident like Uber had just recently where they actually killed a pedestrian that was walking across the road. I don't know, but those sorts of things contrast ycl e affect the timelines for each company, and you know it's very difficult to tell. So at the moment, it's best to just sort of keep an eye on it. Most of these systems that are being developed obviously used machine learning and AI and what it's called neural nets or deep neural nets or deep learning. And basically, they combine this computer technology with a number of senses that are or in the cars everything from radar Teoh, traditional cameras and ultrasonic sensors all the way up to the very fancy Lied our systems, which is essentially a laser based radar. So thing that's spinning around or pushing out lays a lot in a particular direction, and the laser hits something comes back and it can measure the distance to that object and see where it is, you know, measure speed and all that sort of stuff. So these sorts of systems are quite technical. Obviously, as you can imagine, they usually have them dotted all over the actual cars. And if you want to get a better idea in terms off what a self driving car actually sees, you can sort of get a good idea from this video here, which I really would recommend everyone dying and watch in full. It's made by Waymo, just a sort of show you what the actual smart cars and these fully self driving cars actually see, because most people think that it's just like a normal everyday car, maybe with some cameras on it. And it can only see you know what a human person can see, which is, you know, visual spectrum and what's in front of your person walking here. But with lied are and radar many other of these sensors, they can actually see much, much further. They can see through things they can see, you know, 203 100 feet in the distance and sort of select out and Matt every single object that is there or moving and predict where these objects are going all in real time or at the same time so they can be much, much more advanced than humans. And it's expected because they have these more advanced abilities that, you know there will be a higher expectation off them. One particular famous company that isn't actually using Leider, however, is Tesla. Now they, for whatever reason, believe that all the actual self driving. You know, fully self driving. Actual car technology can be built and deployed just by using things like ultra Sonics radar and mainly speaking the actual camera systems that they have. So they have believed about eight cameras all around the entire car Macy, all the directions and that paired together with their fleet learning and the, you know, very advanced neural net. They believe that they can get the full autonomous self driving cars just simply with those camera and radar systems that they don't need the light, our systems, for the most part in the industry. Everyone else except Tesla believes that light out is a necessity, and they have them on their car. Perhaps I have three or four of them on their car. One downside of light hours that it originally was incredibly, incredibly expensive talking like, you know, 10 20 50,000. Always per lied. Our system there are also extremely bulky and large of you. Sort of go back and look at some videos from 2000 and nine, when Google was doing its original testing, you saw these huge lied are things on top of their car nowadays, They're more sort of, I guess, Puck or, you know, coffee cup sized or something like that. But even that's, you know, not the finished product yet. They're getting even smaller and even cheaper every day. So it's expected to die on the cost, you know, maybe 5 10 $50 or something like that once the technology really gets properly developed. So perhaps in a few years Tesla might take that on board. They seem to be pretty adamant that they can get to full autonomy with how to that technology. But again, it's something that will just have to sort of wait and see and watch with bated birth. So in the end, we have test long with their particular approach that doesn't want to use lied are they seem to be more relying on a huge amount of fleet learning with all their actual Tesla vehicles out on tracking their model S and X. And now they're model three, which is, you know, being bought in the hundreds of thousands. So if they can have a slightly less, you know, technical system without lied are on it. But hundreds of thousands of people driving millions and billions of kilometres, collecting a lot of data for them that could very well be enough to have them master that technology before someone like Waymo who's more relying on less kilometres driven. But you know, better quality daughter with higher in your resolution lied our radar technologies to record better data. So it's a bit of a race between all the companies, you know, it's said very difficult to tell which one will particularly win. But what I will try and do in the next section is sort of peer into the future a bit and just sort of see what might happen when this technology actually comes online. So we'll have a chat with you in the next part then. 21. Section 7 - 2 - Self Driving Cars - Industry Future And Focal Points: already. So now let's have a bit of, Ah, look into the industry's potential future or the future opportunities for it. So in terms off technology and sort of generalizing a bit to try and get a better idea about where self driving cars might go in terms of technology for most things for most major products, historically speaking, there's always been a few kind of big winners. So think your, you know, Google in terms of Search or Android and IOS in terms off mobile phone operating systems. Think your intel in A M de in terms of processing production technology. Or, you know, many of the scenarios out there your Windows and Mac OS. In terms of operating systems, it's usually a case off around 2124 Cos. Or 1 to 4 systems or companies or products that really take the lion's share off the full technology. They'll take, you know, 80 90 plus percent off all the mobile phones or computers, whatever it is we're talking about, and that other 10% is made up by hundreds or sometimes even thousands, of smaller companies or products or whatever it might be. And I'd expect that self driving technology would be no different from this trend in that will potentially see, you know anywhere from 1 to 4 companies really take the line, share off that you know product and become the de facto standard for self driving cars. Whether this is something like test slow words, fully integrated system where you know everyone starts driving, Kesler's could happen, Who knows? And, you know, they make both the hardware and software or whether it's more like something like Waymo, where they make the software or the you know, the self driving technology, which does include some of the hardware, like Lied our senses. But ultimately they don't make the actual car itself. You know, they attach their self driving technology to, you know, a Jaguar I pace, which is what they're currently doing, or they attach it to a semi trailer or they attach it to a you know, Ferrari. Whatever it might be, they sort of on sell that technology to many, many different hardware partners. But, you know, ultimately, 90% of the cars that you can buy end up having Waymo self driving technology in it. That could be how it sort of plays out, I don't know. But generally speaking and historically speaking, that's how it kind of most likely will this 1 to 4 companies sort of dominating the entire market Now. Obviously, Waymo and Tesla aren't the only ones out there. There's also Ruba, who are desperately trying to get their systems up and running in a working product as well , even though they're having some, you know, difficulties at the moment. But, you know, ultimately, while we can't predict exactly when this technology will debut, it's most generally agreed by most people in the industry that it will be about 2020 or shortly thereafter. You know anywhere from 2020 to 2021 22 that sort of area. One of the key things about this technology is that you know, unlike something clicked Airbnb, where it'll just get rolled out to a whole country or multiple countries very quickly because it's in the automotive industry, it is quite heavily regulated, which means it'll have to go through regulation and approval in testing and safety and all that sort of stuff, you know, for each particular city for each particular state, or maybe even country, different countries will have different laws. You know it will take a long, long time. And on top of that, it'll be a different points for different countries and possibly even different states at different times. So I'm from Australia. So perhaps in New South Wales, one of our states, you know, maybe down will be really forward thinking and, you know, be more than happy to have self driving cars be totally legal throughout the entire state. Whereas, you know, maybe Western Australia, another state will be a bit more cautious. And maybe they'll come in two years later, after they've seen the results that New South Wales has got. Or maybe the entire country will adopt it and approve it straightaway. And you know, perhaps a different country, like Germany or France or something like that. Maybe there will be more cautious and wait for, you know, Australia to sort of see how it goes. So it'll be different for different states, different countries, mainly because the regulators have to actually approve that, you know, sitting there that in a car reading a newspaper or whatever it is that you're doing playing on your phone while your car drives, you is safe is legal, and, you know, whoever's technology that gets there first, whether it's testimonial, Waymo, robo, whoever it is has been proven to be safe and that they're happy with that level of safety. So as each of these technologies get, you know, fully developed and it progresses through it, we can hopefully watch these sorts of events happening and unfolding in real time to really give us a proper idea of how close this technology is to sort of rolling in. You know, if you're saying that your whole country is being very, you know, bad and negative towards self driving cars and constantly vilifying it and you know I'd never trusted in 80% of people in polls say that no, they'd never have a car drive them. Then, you know, perhaps your industry might be a little safer than maybe, you know, in California or something like that, where there a bit more forward thinking and a happy for technology to go crazy and, you know, be rolled out straight away, or whichever the case may be. So if this is a, you know, potential future technology that is going to affect your position or your industry. It's good to watch out for those, you know, sort of signs. As the technology gets developed against fully rolled out. Then you know, regulators and people in your state or country start to argue about whether or not it's legal would be another sort of stepping stone. And when they finally approve, it would obviously be a major milestone at that point, you know, then things start to really get interesting because you can actually go out and buy a product in your country that actually self draws it. And that's when it starts to affect your industry and jobs. Now, once it actually does get properly developed and released and is approved by your government or whoever it is, then I would expect that the very new technology the first tars that come at the himself drive themselves will be, you know, a little bit clunky or a little bit limited. It's like any new technology, you know, if you remember 10 years ago when the first iPhone came out, it didn't even have three g, you know, Internet activity. It was still 12 g. Even those three g was a very big and you know, well rolled out thing. At that point, it was, you know, kind of clunky. It was, you know, not the best off. It's like, but at the same time, everyone could see that that technology was a huge leap over what it was before. I'm would, you know, once it gets developed, definitely be the future. And obviously it was. So I would expect the same thing again for self driving cars. Perhaps they will only drive you on freeways or only drive you on roads that you know faster than 80 kilometers an air or something like that, where they very well marked, or, you know, certain scenarios. Or maybe they're geo locked to a particular sections, off city or freeway or road, whatever in my day. But as the technology gets better and better and better at that, you know will increase and you'll be added. Have them drive you anywhere at any speed in any condition. Maybe only be outta be self driving when it's daylight and good weather. Maybe if it's snowing or something like that, it won't work originally but will come online later. So these are all certain things to be expected when the technology does come out. It's often a big sticking point for a lot of people that they see the brand new product come out and say, for just argument's sake, you can go on by a self driving car, but it only works during the day and it only works during good weather and you know it will still drive you. But it only works in those two scenarios. Everyone sort of jumps on that engages I will never work. You know what's the point? It's stupid, you know. They don't do that thing where they vilify the technology and make fun of it because it's only limited to driving during the day and during good weather. And what happens when it rains are you have to drive yourself. You know, they make a lot of fun off it. But once technology gets to that point, it's a very, very quick iteration cycle to be fully driverless in all scenarios all day and night. It's not the mistake that you want to make to just sort of make fun of that technology because it will very quickly get better and better. The other very important future opportunity for self driving cars With this, The general industry for autonomous cars is a sort of new term that's been coined, which is Taszar T A s, which stands for transport as a service so similar. How you have you know, your uber and your lift, and you pay a certain feet, they come and actually transport you around. This is what has is at a fundamental level, and the reason that it's not really looked at and particularly cared about too much of the moment is because you still have full regular people driving those uber or lift cars. But you can make the jump an assumption that once fully self driving cars become available , there's a good chance that they'll also be electric cars as well. You will now have an uber car that drives itself come pick you up by itself, drive you anywhere and then go off and you know, Dr someone else around all, be electric or be self driving. It's a very, very, very good opportunity for companies like Uber or Lift. That's one of the main reasons that they're pursuing that self driving technology so that they can make this service better. They can make it cheaper, obviously, because there's no one driving the car that I have to pay that driver anymore. And if it's also an electric car, it again makes the running costs off it much, much cheaper. Because electric cars don't cost as much to run in terms off gas versus, you know, petrol electric as well as actually maintain and maintenance costs, the list is less as well, so lots and lots of cost savings. And you can sort of imagine in the future, once they've become very predominant and everyone's comfortable with self driving cars that uber might start to, you know, offer a service where you know, instead of having your own car and owning it and maybe pain 10 $20,000 for it up front and then paying for Red Joe on the insurance and the parking and the, you know, servicing costs and all this sort of money and headache of dealing with and parking it and taking care of it and all that sort of stuff. You can instead just not own a car at all and pay uber save $2000 a year. And with that subscription service you get maybe 15,000 kilometers, or about, you know, 10,000 miles per year worth of free Ruba rides. You can just pull up the APP and use it for upto 15,000 kilometers each year and that $2000 pay for it. And they've done sort of modelling and estimates on what this will cost. And they found that it could be upwards off 10 times cheaper than operating. You know, a normal uber car in terms of taking away the driver of making an electric. So these are pretty huge cost reductions, and it's not just about the cost is, well, transporters of service has a lot of other extra benefits for the consumer as well. Like that whoever can use to sell you this product so things like you can be picked up drunk. Obviously, you don't have to ever worry about parking again. So if you don't own a car and you've got transporters of service, you can just go straight to work, hop out at the front door and off you go get picked up at the front door as well. Your Children can also use the service without you know, you being the actual driver, so you can sit in bed while they get driven to soccer practice without you having to hop up or be bothered or anything like that. You can choose the right car for the right occasion. So in this case, that's actually something most people don't think about it. If you don't own a car and you're always renting and Ruba, you don't necessarily have to get the same uber every single time so you can get a sports car. You're going, you know, on a nice vacation or something like that. Or you can get a four wheel drive if you're going on a different sort of vacation, or you can get a minivan. If you've got your six kids and you need to transport them to soccer practice or whatever, it might be a so you can rent the exact right car every single time for the thing that you're actually doing. And finally, you can also, you don't have to worry about actual insurance. Reggie repairs, maintenance, all that sort of stuff that I mentioned before. It's you know there is a certain amount of, you know, pain at a bit of a pain in the butt to constantly be taken care of those things, and there's a lot of other points as well. But I think you consider start to say that this might become a very compelling service, especially for those in the city. I mean, parking is a huge, huge pain point for a lot of people, and it's quite expensive as well. If you always get dropped off that the front of your work and picked up from the front of your work every single time you hop in a car, it's not relaxing, you know, You just get driven home to and from work. You can do whatever you want in the back. You can play on your phone, you can do work, you know, lots and lots of sort of benefits to this service, and it will most likely be far cheaper than actually owning your own private car. So it's a very desirable sort of service that I think a lot of people will take up now if transport as a service really does take off, it could be something that you know is one of those really in big inflection points instead of disrupts a huge amount of industries, you know really, really quickly because when you think about the rollout off it, we will have autonomous cars and they will be quite, you know, well deployed. The country or state will have made it legal at that point, and basically they'll have all the infrastructure ready to go. I'll just be waiting on that. You know one legal decision to say yes, autonomous cars are now legal, and then band. You know, you can roll out 10,000 autonomous uber's to a particular city and just flood the market with it. All of a sudden, you know, literally, it can be overnight that the services go from, you know, costing whatever they cost to being literally 10 times cheaper for everyone using them. And every Almagro are, you know, sell my car off and just use this and stakes. That's why cheaper, it's easier. It's way better. And you know you've got this huge influx of people selling their car off. You've got this huge influx of people no longer driving. You've got this huge influx of people shifting from gas or petrol powered cars over to electric cars as well, because these will be most likely electric, autonomous cars, And that doesn't just affect, you know, people that build cars or something like that. It affects people that, you know, actually repair the cars that affects the second hand market for those cars of everyone's trying to sell off their gas powered cars or once or in a very short time frame, the cost of that car probably plummet. It affects people that you know, service the uber drivers with food or anything like that. It affects many, many, many different industries, and it can happen, you know, very, very quickly as soon as that legal decision is actually made. So it's a very big thing that I would highly suggest keeping an eye on. Even if you're not particularly in the transportation industry, it's still something that could, you know in a sort of second or third knock on effect, really affect your industry. I mean, for instance, maybe you deal with car parks, and that's your thing you know you own and rent out car parks or whatever. It doesn't seem like that would be affected by autonomous cars, but in actual fact, it will because of everyone's getting around in autonomous car that can drop them off at the front of their work and then go off again. They no longer need to get, you know by your car park and park their car in it because they don't own a car anymore. So there's lots of different sort of ways you can approach this, and it's not always immediately relevant. You know what will be affected with this change? But it is something that I highly recommend keeping an oil. So I know that all might sound a bit bleak and negative again. So we'll go into the final section for this industry, which is obviously another example off how the strategy works but also give some other examples of potential future employment opportunity. So, yes, this will be affecting a lot of people and possibly putting them out of their job. But a lot of new positions will be created, and there's still a lot of positions open for you to go into. So have a chat about that. In the next part 22. Section 7 - 3 - Self Driving Cars - Future Employment Opportunities And Example: all right. So, as stated when fully autonomous cars do finally rollout, it's going to affect a huge amount of industry. So everything from car parks, as we discussed all the way up to completely different industries, you know something like agriculture or farming. They use a lot of tractors and lots of stuff. If you've got self driving technology, it's very likely that will be applied to tractors as well. And, you know, as a farmer, you might be out of press a few buttons and have that tractor just go out and do its thing on a tone without you actually having to do anything. So perhaps you will require less employees at your firm. Or maybe we'll just make your life a bit easier. So lots of different, you know, effects as well as ripple on Effexor. Anyone who actually makes cars of yore making cars and selling them to people individually . Obviously, that's gonna be a huge shift when everyone starts taking on transporters of service, doesn't own their own individual car, and instead, for instance, rent uber's you know they've actually done modeling and expect that they can reduce the number of cars on the road by upwards of 80% 80% less cars if they're autonomously driving around, taking everyone from point A to point B instead of 100% of cars. Wherever unknowns, there are individual car or perhaps even two or three cars. So you know, stuff like that not only affects you know how much the bird might get damaged all the way back to the actual manufacturers where, you know, they may now have lost 8% of their revenue, essentially because they're making 80% less cars. So lots of wide effecting change is coming. However, just like with anything, there will be other companies that will be growing immensely. So your Waymo, your tests like your you know, uber and lift. And, you know, maybe even the Ford or GM is if they get their technology going up, they will grow immensely over the next 10 years with the roll out of this new technology and all the changes that it brings. So some of the positions that they might actually require or other self driving cars or the general industry off self driving cars in itself might offer things like programmers, obviously to knowing the originally program the self driving cars but also maintain them as well. Do security updates those sorts of things that we need a lot of people that have a good expertise in programming. They will likely need fleet managers for all of the cars. You know, if you've got 20,000 uber's driving around or something like that, you're gonna need people to manage those cars. There's also a customer service people. So if you're providing a transporters of service, you're gonna have to have people who call up and chase up about payment and all that sort of stuff. So customer service people you, of course, need managers to oversee all these projects you need, you know, project managers to originally roll them out and keep updating things just like regular companies have new. You also need mechanics to do repairs on those fleets of cars, no doubt, and you'll need definitely the 24 7 monitoring, you know, environment that technicians that will be monitoring these cars as they're driving around for errors or glitches and perhaps instruct them to come back to base and all that sort of stuff. You also need property managers, which is a bit of a different one. But when you think about it, you know these cars have to come back to somewhere. They have to be fixed somewhere that have to be recharged somewhere. So that requires, most likely a lot of property when you're talking about tens of thousands of cars and on a property managers for that as well. And last but not least, you also need a lot of electrical engineers to handle the charging systems and infrastructure. So you know whether this is an autonomously charging system where they just come back. And there's, you know, a wireless charging pad. They go over and they automatically start charging, or whether it's someone manually plugging the mean. He's still going to need electrical engineers to build and maintain and manage the electrical infrastructure that actually provides that electricity, because it's gonna be a huge amount of electricity. So on top of these jobs that just mentioned there's also many other sort of sub industries that will also be affected. That should also gain a lot of momentum and increase over the years with the rollout of both electrical cars and self driving cars. So things like actual road maintenance you currently. Obviously, roads do get maintained by lots of human beings and machines and all that sort of stuff. I would expect this to increase because as autonomous cars come out, one of the main things that they rely on our signs and road markings and all this sort of stuff. So it will be progressively more and more important that those signs and those road markings are kept up to scratch that there, you know, nice and new and pristine and clear, said that the cameras on the cause can raid them, you know, correctly every single time and improve safety. You also get other things, like the electrical infrastructure throughout a city or even a country might have to improve. You know, this is from both sides of the equation. So the actual generating capacity over perhaps, that we need mawr distributed electrification for charging all these electric cars that get rolled out. But they also need more infrastructure inside the city as well. You know, things like actual charges for the cars, for people who will still be owning their own personal cars. I'm sure there will be a lot of people that you know they might have cars that still drive them around autonomously, that they might own their own cars because for whatever reason, they don't want to just have transporters of service. So lots of different industries that still have you know the effect. And, you know, even though this new technology will disrupt a lot of other things, it will also push up a number of other industries. One final other industry that's you know, not immediately obvious to most people when you think about rolling out autonomous cars is actually the telecommunication side of things. So ah, lot of the time, virtually every single autonomous car is also connected to the Internet, whether it's by four G or perhaps in the future, five G. It's basically a assumed constant that even is a fully autonomous car, that it has that Internet connection. So, you know, currently, telecommunications is always going up. There's always more computers mawr, you know, watches and phones and all this sort of stuff that's, you know, always getting released and requiring Internet. But with cars, it'll take it even toe a bigger next level, and not just that you'll have caused driving around everywhere, so there'll be a lot more mobile than you know what a lot of other telco infrastructure or computers that might actually use the Internet would be. So you've got this huge increase in the number off actual cars that will have Internet connections, which means I have to roll that more base stations to actually accommodate those cars. The other, quite different thing about cause is that they're generally seen as critical infrastructure . There are a lot more important if it's sending receiving dieter than maybe you serving Facebook on your phone or something like that that, you know, actual Internet connectivity is seen as a lower priority. It can take a couple of extra milliseconds to give you your image of a cat or whatever it is you're watching. Where is the car is a bit more important, you know, it's like a phone call it that needs to be done in real time. It's a more critical service, so along with that, along with you know their roll out of five g, I can only see the telco industry going up and really benefiting from the rollout off autonomous cars and more Internet connected cars as well and one final sort of opportunity . It's not so much in employment opportunity, but at the end of the day, most people want employment to make money, and that's what this could potentially do, so you may not have heard about it. But in that one of his master plans that Elon Musk has written about for Tesla, the company. He has a particular goal that you know for people that own testicles and have who have purchased the fully self driving sort of package so that one day, eventually, when all Tesla's are fully self driving, that you'll be out of pulling out your phone. Perhaps you drive to work, park the car, hop out of the car, going to work, pull out the app and basically give it permission to go around and drive other people around and actually generate income for you while you're at work. Maybe while you're at home sleeping, whatever it might be. A. So that's a potential other sort of income off money that is made possible by self driving cars. And so you might have your job X. And that might not change when autonomous cars come out. Perhaps it's not affected by it at all, which is fantastic, but it's another potential income source that you might actually be able to make use off so to something a bit different. But I hope you can see this store a lot of potential employment opportunities for, you know, the autonomous driving industry. So now let's go through a another live example. How do you know use the strategy that I've discussed before? And this time we're looking at someone who is, say, an electrical engineer working at one of the major order manufacturing companies, your Ford GM, whatever it might be now, this person is obviously electrical engineer, so they're working on electrical systems, you know, things like the 12 volt battery, the wiring and all that sort of stuff, how that's all integrated with the car. And they've been working there for, say, 10 years now in Part one, that I want to be very aware off things like autonomous cars and those sorts of technologies, because it's such a huge potential impact on the industry and their job. But in this particular case, he's also paying attention to something like the electrification off cars you know, going from petrol and diesel engines to, you know, fully battery electric vehicles. So in Part two, he's done all this research already for part warnings, being constantly reading up about it. He's particularly concerned about the fact that you know he sees the industry moving towards battery electric vehicles. But his particular employee, the business cities with at the moment, doesn't really take them seriously. They do have plans, but you know, there, 10 20 years in the future, they don't think it's a particularly big threat or anything. He obviously sees it as a big, big threat. So although he's sort of read about this and is aware of it, he's also aware that it is going to take a number of years. You know, changes in automotive industry do not happen overnight, but eventually it will happen. And he's not satisfied with, you know, sitting idly by in a large company while they essentially get, you know, made redundant as the future slowly approaches. So another particular part about this example say that this person there's always kind of, you know, wanted to work in a bit more startup style natured company now has been working at this big time manufacturing company for 10 years. He's he's done the big company thing. He wants to try and see how the startup style thinking a bit more exciting nature of that sort of stuff. So that's one of his personal requirements. You know, he's obviously it needs to be something centered around electrical engineering. But his personal preference is toe dirt or more small company. Not stay at that big companies. That's again sort of marrying those true things off where the new technology is going and your own personal interests to get a really good outcome. So as a result, he goes and starts searching for potential companies. So being the electrical engineer, he looks into things like the actual charging infrastructures, or whether that someone like Ruba, who is about to deploy a huge fleet of electric cars and needs to build and maintain that electric charging infrastructure or whether it's, um or, you know, torrent company as opposed to a future opportunity. A more current company, which is something like people building and deploying car charges for people who have electric cars. So these are the sorts of things that he's investigating, he said of trying to narrow in on potential companies that are doing this that meet these criteria of being. But it's more than a huge car company, but also focused on that fully electric car future that he sees is, you know, essentially the end point off this technology shift. You know, while his company doesn't particularly believe that it's going to happen, he's seeing all these examples he's seen, you know, countries declared that they're gonna be banning diesel cars at a certain particular point . So he knows that you know this car companies views, obviously not gonna carry on forever. At some point, they're going to start losing out to their competitors just simply because they can't pivot quickly enough. So in Part three, he goes out. He tries to, you know, interview and get these jobs that he's wanting to get. He obviously knows a lot about the technology itself, so he doesn't have to do too much of the studying or online learning that sort of stuff. That's very, you know, applicable to go from, you know, petrol cars that use electrical system to, you know, actual fully electric cars that still used the electrical system. Obviously, you know, he might do some small classes or some small rating up in what the difference is is. But he's got that main underlying technology and experience under his belt, already so humanely focuses on, you know, doing to those interviews trying to find those companies. And while he can't find a all electric ta building company, he came, does come across a company that actually building deploys electric charges. And eventually he moves into a job. Where is, you know? Maybe he's designing the next generation off electric charges for that electric charging company and start settling into his new role there as still an electrical engineer. But now, in a slightly different company that's more poised to take off as this transition to electric cars come about, so in part for is obviously still employed. After a few years at this company, it's been going great, although it's not explicitly to do with self driving cars. Obviously, as I said, the vast majority of self driving cars are electric, so as their number increases, so does you know the available business for this company. With charges to increase, they start getting into partnerships with the bigger self driving companies and deploying. They're charging infrastructure for their autonomous driving fleets. And it's just, generally speaking, a much better company. That's, you know, obviously going up and up and up as self driving tires and electric cars get rolled out even more. Meanwhile, his old company is, You know, that finally has started to come around to the fact that you know electric cars are the future and they wanting to actually get into that industry. But because they've essentially missed the boat by five or more years or their competitors already have, you know, one or two early models out and they basically haven't even started, so they're not doing too crash hot again. Being an electrical engineer, you might be out of bring across other people, some of your other buddies who might have Bean made redundant. At that point, that's up to him. But the point is, he ends up in a stable job. He again had that smooth transition when he wanted to it. He's sort of request into a company that he was interested in in a technology that, you know, suits his actual skill set. And it is a company that you know, grows with this new, disruptive technology of self driving cars. It's not a company that declines with it, so a much, much better result for this person. So once again in this example, you can say that, you know, even with absolutely huge the disruptive technologies like self driving cars and transporters of service, there's still jobs available. You know, these new companies still require people that are skilled in those underlying based technologies like electricity, electricity and electrical engineering. And they absolutely loved have people who are veterans off the industry coming on board with the new company or near the new technology and giving them that experience and helping them to develop. So this is a case for when you've got, you know, 10 years of experience being an electro engineer. But you know what happens if it's an entirely new industry that's during this disruptive, You know, say it's something like drones. You know, there's no sort of precedent no one's been a drone engineer for 20 years already or something like that. It's only been around for five. So what do you do in that sort of scenario? Well, we'll be covering that industry in the next section on. I'll give you a example again. Another live example had run through that strategy and actually works out very, very well because it is actually new industry. So you can hear about it, then in the next section that I'll talk to you then. 23. Section 8 - 1 - Drones - Industry Overview: all right. So welcome to his next section, which is on drones and the industry surrounding them and to get one thing really out of the way as quickly as possible. I just wanted to address the notion that a lot of people do consider, which is that drones are toys and that they're not, you know, a particularly big new technology or industry or anything like that. People just see them as these fun toys that some people by and they fly them around and, you know, it's like a remote controlled helicopter or car or something like that, like they're good for toys or getting, you know, fancy photos or something like that. But they're not, you know, a new industry or new shifting technology or anything that serious. But I want to sort of address this as completely wrong. I mean, they is totally a very big industry surrounding drones as fun to fly. There's, you know, competitive during flying. There's using you know, D J ai drones like the Maverick or the you know, Phantom Siri's drones to get fantastic footage and photos and holiday pictures and all that . So stop that is a very big part off drawings in general. But there's a lot of other things out there that a lot of people don't know about if they're not in that particular industry or making use of it and can go a bit more under the radar. But they are a very big, you know, industry in themselves and just a few of the current thing. So this isn't like far future technologies or uses that people are thinking about using. These are actual uses that people use drones for today and in the past. So just go through a quick list of them just to show you and some of the things our infrastructure inspection and photography. So taking photos of, say hi up power lines or you know, those sorts of things on mobile foreign towers is another big sort of category. For them, search and rescue is another thing. There's been numerous cases of drones actually saving people's lives by being able to search for and therefore rescue them in a much quicker time friend. There's thermal imaging sensing to see cracks or other structural issues that again coming back to that sort of infrastructure inspection and even search and rescue you know, at night time using infrared and those sorts of thermal imaging sensors. There's the insurance and building construction inspections and industries and that sort of regard where you know sure of your inspecting a house that's burned down. You probably not going to use a drone. But in some bigger cases where say, entire hotel resort has bean destroyed by typhoon or something like that, they can use drones to get a much better picture of the damage that's being done in the, you know, during the actual assessment work that isn't necessarily possible at ground level. There's also Mawr sort of out there things that again people don't really know about but does already exist currently, and things like planting of new trees via compressed air. Firing seeds into the ground to the drone will be flying along and will actually fire, You know, seeds into the grand, which new trees will grow from. There's also drone delivery with a variety of things from, you know, the more well known and popular Amazon prime F to other things like Google and their projects. And, you know, these being used to deliver everything from burritos to pizza to sushi. Lots of lots of stuff. There's, you know, mawr important sort of life saving type things that drones have been used for, such as delivering blood or medication or transferring blood or medication. And there's also automated pesticide fertilizers, herbicide deployments, all these sorts of things for agriculture as well. So these are just some of the current day uses, and you know you can even see in these videos here where, you know, these are riel businesses that people are running right now. They're making huge differences in the world using these tops of drones. And again, another common thing is when people think of drones, they only think of the tiny little you know, toys that people fly around, and they think that that's the end of the story. But as you can see from a lot of these examples, drones and that industry in general doesn't just mean that it could mean fixed wing airplanes that are actually autonomously flying. That could mean, you know, huge Octa copters, or even wrought up to the point where they're actually looking into now, which is basically having autonomous helicopter type, you know, capabilities where they'll be flying people around, but that is actually a little bit more in the future. Everything else has been already currently done and is available today. You also have many other use cases, especially when it comes to drone swarms. So you probably would have seen the 2018 Winter Olympics and the opening ceremony and how they had a swarm of germs that, actually, you know, displayed a fantastic you know, piece of art. And, you know, it was a very novel use of drones. But again it just started describes that many, many different things you can do with drones and industry that is, you know, absolutely growing even more and more. Even at the start of just 2018 there were over a 1,000,000 people registered with the FAA in America that were actually flying drones. On top of that is over about 70,000 businesses and over just thousands and thousands and millions of people dealing the joint using them. And it's certainly a growing industry. Currently, on top of that, you have, you know, some of the most cutting edge technology which was coming out of a new company called Sky Radio, and then you draw in the R one. This is a drawing that while it's a little bit more expensive, it's obviously the newer technology, so it's a bit more pricey. But again, it is mawr in terms of that category of a toy in terms of your flying, getting, video feel consumer market type person. But the underlying technology will likely grow into many other fields that I mentioned before, and that is a technology to autonomously fly itself really, really well. So there is, you know, autonomous flying. But for the most part, for most drones, it's get up high and go basically, you know, there's no obstacles up there. It's just open air. They can fly from one point to the other quite successfully, whereas Scott Dios drone actually can fly through trees around trees, you know around obstacles. And while it's doing this, keep you in frame and get some fantastic footage of you as well all by itself. You know, usually you would have to have someone controlling that and flying through the trees and all this sort of complicated aerial maneuvers. But this does it all by itself, so fantastic new technology that will most likely get integrated, and you know, push things even further as well as those autonomous flying things. You've also got fleet management, which again comes back to these sort of swarms of drones. The swarms of drones that Intel displayed at the Winter Olympics were sort of one unified system. Fleet Management is more about, you know, more individual drones, but managing many individual drones enough late for something, for example, like during delivery. Now it is a very, very fast moving industry. That's drones. They've been around for roughly about five or more years or so, and since then it's been going absolutely crazy, as you can imagine. And because it's such a fast moving industry, it will, you know, will need to be sort of kept in are in a bit more than maybe some of the other ones. But, you know, it's something that loyalist I find very, very exciting and some of the use cases that people using are truly quite amazing and helping ah, lot of people that really need it. One of the main things that is actually sort of slowing it down. I guess you could call it is the regulation behind drone delivery or, you know, really big fleets of autonomous drones operating. So currently, you generally, for most countries, have this sort of band of air that's just below Web proper. Full on airplanes and helicopters fly but above. You know, the 30 meter height where you know cars and buildings generally might be. And that sort of band of air is where most drones operate. And at the moment they're sort of discussing legalities. They're trying to develop these fleet monitoring systems, these, you know, services and software that companies can use to manage maybe 100 or 1000 drones to do whatever it is that they want to do. Maybe they're doing inspections of lots of properties. Maybe they're wanting to deliver burritos. It doesn't particularly matter. But you know, these systems have to integrate. They have to be mostly autonomous because they're joins themselves or autonomous, and they also have to sort of interact and play nice with the existing infrastructure that is used to manage and track and all that sort of stuff proper regular aircraft out there. So this is kind of slowing the industry down a little bit because they can't roll out full on autonomous delivery during networks without that software and systems set up as well as the government approval, which is the probably the biggest thing at the moment to sort of give them authority to autonomously just essentially fly drones wherever they need to be flown. So that is one of the few things it's actually slowing this industry down a little bit. But by old measurements, it's still incredibly fast paced industry. But these are all things that are happening today. So that's the general sort of overview of where the industry is now. In the next part will again have a look at the industry's future. Opportunities will also go over some potential jobs that you might be able to get in the future, so have a chat about it then. 24. Section 8 - 2 - Drones - Industry Future And Focal Points: so having a look into the industry's sort of future and the focal points that are most likely sort of surround with drones. One of the most interesting aspect of it is that although it is going to significantly disrupt a lot of things such as delivery is one of the main ones that will talk about. But whenever it generally seems to be doing this, it actually has the benefit that, at the very least it will be making the industry a lot more efficient, a lot quicker, and also often quite, is what usually the case is more environmentally friendly. So if we take the example off delivery, for instance, one of the most widely known and sort of popularized use cases is Theano Zone Prime Air drone delivery service that they've been working on for many years now. And as I mentioned, one of the main things stopping this is actually government regulations that they can't, you know, fly these drones out of sight. But for now, you can imagine that one stat said of Hurdle is jumped over that it will make Amazon a hell of a lot more efficient hell of a lot more environmentally friendly. They do have their, you know, 100% energy, renewable energy, you know, target that they're trying to meet. So when they do, obviously rollout drones that run on electricity that will presumably the 100% renewable electricity as well and having these drones deliver, you know, the smaller packages, you know, maybe up to five kilos or so is obviously a hell of a lot better than having a big, you know, diesel truck with a person entire driving it all around all over the world and all over America. Sorry. And delivering these packages, you know, a drone can go direct to it and back again, whereas a truckers driving all over the place possibly and obviously burning days always and exactly better for the environment than renewable resourced electricity. So it's not just new industry and a new capability. Teoh, get your package there an extra 20 minutes quicker. That's also better for the environment, which is, you know, obviously fantastic benefit. So for a lot of people that do actually investigate this technology, or learn about something like Amazon prime air and how it might be replacing, you know, truck drivers or whatever sorry, delivery drivers. They generally look at that particular case and don't sort of extract late further on, which is a very common theme I find with a lot of people thinking about the future technologies, that they just see this one next step and they don't go any further than that. But if you continue to think about it delivering stuff via drone, typically speaking, at least for Amazon's case, you know they might get up to about five kilos or about £10 worth of actual cargo that they can deliver. Obviously, if you're wanting Teoh by television, off them or something, that's considerably bigger and considerably vivia that will most likely still be done by the traditional, you know, delivery truck driver as well. But there are a lot of packages, a lot of stuff that Amazon deliver that is, in that sort of 0 to £10.0 to five kilo range off goods, and all those cases can be taken care of viral drone. In most instances, I would imagine so when you go past that sort of next step and think about how this will really sort of affect things, you sort of realize one of the main things is actually cost and now obviously delivering stuff I, an autonomous drone running on renewable electricity, is going to be far cheaper than giving it to a a person that you're paying, you know, tens of $1000 a year driving a big diesel truck that's sucking up petrol or diesel and, you know, lot lot lower cost with the drones. But you know how much lower we talking here? You know, it could be that, you know, thing that once they've sort of paid for their initial upfront costs of purchasing the drone and setting up the facility and all the components and all that sort of stuff from training, that the actual ongoing cost of doing this delivery is for all intensive purposes, just the electricity itself to power, the actual drones and maybe a little upkeep and maintenance. But that electricity, which thought getting from renewable energy I mostly very cheap. You know, it could mean that when you order off, you know, maybe a couple of bananas from Amazon instead of it costing, you know, maybe $5 to get delivered. It might be 50 cents, you know, it could be that that order of magnitude cheaper there could be so cheap that maybe they just include shipping for free. You know, it could be that cheap could just become part of the service. And when you have something like that, obviously people are going to gravitate towards those small are more frequent deliveries that a phrase opposed to maybe getting all their groceries or all the tick or whatever it is that they're buying from Amazon delivered in one goat. So it shifts how people use existing technologies because it can affect the actual price of it. And personally, I think I'd like to say that, you know, having lighter and smaller items essentially be delivered for almost free or, you know, sense. Basically, instead of, you know, maybe a five or $10 shipping fear would be much more likely. Tomato shop More and more online if the actual fee to deliver it was basically 50 cents or free or something like that, as well as the fact that it's a drone delivery, so it will be done very, very quickly and you might be out of order. Those bananas or something can have it delivered within half an air or something, or for 50 cents. That's a pretty hard deal to beat in terms of traditional shops, both online and bricks and mortar if they don't have drawing technology. So you can see why companies like Amazon a sort of pushing for this technology because it will give them a huge advantage over anyone else who doesn't have that technology. So, on top of the more general use case of, you know, Amazon delivering something toe a consumer, you also have the other side of more serious stuff, more critical level, things like delivering of blood or organs or, you know, testing and that sort of stuff where things like hospitals and stuff. They pay a lot of money to have these things quickly delivered by people. And that's something that drones excel at. You know there's already currently now the use case for the matter Net station, which you can see here where it will actually deliver blood from one hospital, one station, as they call it to another very quickly, very autonomously and no doubt quite cheaply as well. So this is another aspect of the way you have the consumer side as well as the more critical. You even have the business to business side where it might actually be the same business. So perhaps you are a business that have, you know, two warehouses very close to each other. Maybe they're, you know, five or 10 kilometers apart or something that's within the range off a drone. And, you know, rather than constantly shipping your product back and forth in huge trucks all the time or , you know, transferring goods from warehouse to warehouse, perhaps at least for the smaller equipment or smaller pieces of inventory. You can do that via drone, so just have a drone fly from one. You know where has to the other and pop down and again. Once you've paid for that initial investment, it is essentially free delivery, and that'll allow businesses to become more efficient, more profitable and quicker what they do. So there's a lot of different other benefits to during delivery, as well as something like Amazon in their prime air system. Other focal points of this industry might be the more you know, search and rescue style types of things which they do already currently have. But, you know, I can see this being taken far, far further If you combine it with, you know, miniaturization off the technology even further and things like drone swarms where you have not just one drone out there, you know, going through a search pattern to find someone that's lost in the woods or, you know, trapped under debris or something like that. But you have, you know, swarms of these things. Maybe there particularly tiny, so they can fly into little gaps. And they have that, you know, really robust autonomous. You're flying technology that can avoid lots of obstacles so they can get right into really , really small spaces and fly themselves tracking and during all the things that are necessary for search and rescue. Maybe you have 100 of these things that you know, search and rescue front up to maybe a collapsed building or something like that due to an earthquake. Or, you know, whatever the disaster is, and they open up a box and 100 of these tiny little drugs fly out and just blanket the area searching for every survivor. Maybe they have infrared or thermal imaging sensors on them as well, you know, maybe two or three minutes after they've arrived. They've got a, you know, an iPad or whatever it is they're carrying with the exact location of every single survivor . You know, they instantly know where they are, who's in the most danger. And, you know, maybe they even have life. Science detectors of you know how cold a person is hot a person is. You could do lots and lots of different things. And as I said, they currently have some of this technology. They use it to help fight fires and to locate people inside burning buildings so they can, you know, zero in on that person and get to them quicker and save them quicker. But you know, you can see how this technology can really grow in leaps and bounds and make it even quicker and even cheaper. And that would hopefully best able of all firefighters of all emergency response crews that they can release these drones into the air and get real time die as quickly as possible of , you know, really accurate positions of where all the people that are in need off assistance, actually off and last. But sure not least is as I mentioned earlier in the use cases that it currently being done , the agricultural industry. So things like farms and crops and all that sort of stuff. Obviously, they've had planes doing crop dusting for a long time. But you know, if you can not pay for a person to fly a plane over your field and drop pesticides or whatever it is and instead buy, you know a crop dusting drone itself. You know, maybe it is quite expensive. Maybe it's 10 grand, but that's a once off payment. You've now got a drone that just costs a small amount of electricity, too. Spray herbicides or pesticides or whatever you want to do over your entire crop or autonomously and very, very accurately for maybe the next five or 10 years. However long that during last again, it's lots of efficiency improvements, cost reductions. All these types of fantastic things that technology enables and farming and agriculture is a very, very big industry. Was even, you know, proper for companies like D. J. I. Making dedicated drones for this type of thing already. Right now, they have it in production and are selling it to people said. This isn't so much a future far off thing. But again, I can see it being a focal point where the industry will continue pushing towards because it is such a big, important area and finally sort of similar to that agriculture area. Those also, as I mentioned before, the drones that actually shoot compressed air seeds into the ground as they fly over. So at the moment, this is mainly being used for reforestation and other things out in far of places. But I can see this being sort of perhaps a focus point off things like councils if they wanna, you know, plant trees. Or if they want to, you know, Dover areas and spray for weeds or anything like that. It's usually a big part off councils and taking care of their very large property areas. This is something that they can again get more efficiency improvements on, make more autonomous and just generally benefit everyone. But with all this talk about drones being, you know, so autonomous and flying themselves and doing all this other stuff, you might ask, you know, is there any actual jobs for humans? And while again, it's not gonna employ anyway, near the number that Atmore, old and style technology or industry. You know, such a car manufacturing back in the fifties might have. There are still plenty of jobs out there for people that are both there right now and in the future. And the fact that this sort of industry is so new actually has a bit of a twist in it in regards to benefiting people wanting to get into it. And I'll go over that in more detail in the next part. What will go over another live example of how to use the strategy and you know what type of positions are available for this area, so I'll have a talk to them. 25. Section 8 - 3 - Drones - Future Employment Opportunities And Example: all right. So in this section about future employment and the live example as well, it's pretty clear that, you know, obviously even now, not just in the future. But even now with number of positions that are available to, you know, go into this industry even for people who don't have a lot of experience in anything particular particularly specific. If you want to, you know, fly drones and get paid for that. There's many different options. You can become a real estate dream photographer, where they take photos of houses and submit that to the real estate agents. They then use that in advertising for the actual property. There's other sides where you can take photos for businesses. You know, those who want to get, you know, aerial photos of their overall business or whatever it is that they're doing. You can sell photos to businesses in that regard. There's also a lot of surveying as well for drone surveying. But anywhere from anything like that, all the way up to the actual building and manufacturing of the drones, the programming off them, you know, companies like Sky Ideo and their programming and artificial intelligence. The people that are behind that kind of development, obviously, job study in the drawing industry and, you know, even things like sales people and all that sort of stuff. So there's lots off current jobs that are available for the drone industry if you are interested. And one particularly nice thing about drones is that they don't seem to be taking away too many traditional jobs. I mean, there is the example I gave before about during delivery, potentially decreasing the amount of deliveries that maybe a truck driver or a delivery driver might do. But even in those cases when that does fully rollout, maybe in five years or so you're still looking at those people having to do heavier deliveries, you know, stuff like televisions or maybe a whole week's worth of worth of grocery shopping or something like that. They still can't be taken by drones, obviously, so they will still be required sides not only not affecting traditional jobs in a huge way , but it's actually generating new, really interesting jobs out there for people. So it's actually quite a good you know, industry. It's not one of the other transitional disruption things where it's totally obliterating. Ah, hole industry of people working in a taxi driving or something like that. So it's actually quite good news. The other side of it that's also quite good is that it's still a developing industry. So even if it currently, right now, you know absolutely nothing about drones, it's still possible for you to spend, you know, one, maybe two or three years, getting to know them, buying them, playing with them. Maybe you're looking at the actual software that I use, maybe experimenting with them, maybe doing a short course also. And, you know, even then, after two or three years of doing that, it's not like the industry is gonna have gone away. It's only going to have gotten bigger by that point. So you know, it's something that you can either dive into right now or take your time learning about it and get in tow it at a later date. Now, when you do finally want to actually go into the industry, what jobs might there be available? So just like we've gone through before, some of the potential jobs that might be available and are currently available but will grow in time are things like you know, pilots for the actual drones and flying them. Of course, you've got fleet managers, just like with self driving cars. You know, if you've got 1000 drawings flying around, someone's gonna have to manage that fleet. You have repair technicians because even autonomously flying drones, you know, maybe someone will get angry with it and shoot it out of the air or something ridiculous like that. I'm sure there are gonna be a lot of drawings that they're gonna have to repair of the time . You also need monitoring systems and people. So this is not just the people that sit there monitoring the systems and monitoring how these autonomous drones flying around, but also the people that built and designed those actual monitoring systems themselves ever on. Also need manages as well. I've runaways, needs manages both in terms of the traditional sense and sense and project managers as well . You'll also be looking at a good number off system integrators. So these are people that will be integrating the old with the new. So someone like Amazon as a just another good example that have their old delivery method and this new drone delivery method but weren't entirely replaced that. But it will have to be integrated together, so they'll have to, you know, get those systems to determine how heavy is this package should ago belt via drone delivery . I should go via traditional delivery. So all these sorts of things will be how this new, you know, industry and new ability to deliver things or whatever it is that it's doing will sort of interact with the existing systems. Maybe it's not during delivery. Maybe it's something like, you know, real estate photography or something like that. There's lots off room for system integrators there. Also, you will need a lot of back end service systems and support. So you got your I t. In that sort of scenario, you have drones flying around. They obviously doing that autonomously. Just only the back end software and hardware systems at the company that control those drones that tell, you know, drone one to go over here and during two to go over there and, you know, partition of work and all that sort of stuff. So a lot of back end sort of servers will be utilized for that. And you also need your general, I t people don't just manage that, but also the software and, you know, people that use that software as just a general day to day basis. On top of that, you will also need the i t. To do security and management. So again, going back to that side of security section where, you know, this is obviously gonna be quite high security required. You know, you've got these drones at a flying around over everyone's head. They will be carrying cargo. There's gonna have to be significant security, both software and hardware to make sure that that's not, you know, abused or taken advantage off or maybe intercepted and use. They are more than capable of delivering any payload. That could be a, you know, some bananas for you to pick up. Or it could be something a lot worse if someone gets a hold of it and you know doesn't want to be that nice. So I expect there to be a huge amount of security, both in terms of software and hardware, and that's gonna attract a lot of Saab security and very technical people in that regard. On top of that, there's many, many Mawr sort of, you know, people that will be get employed and a lot of different, uh, positions that will open up. I'm sure the Mawr sort of complex that everything gets in, the more complex these drones become, You know, there's gonna be a requirement for more management, more systems, more software. And as the business girls, everything else is just aren't going to grow as well along with, you know, people they need to hide to manage the systems. So that's in the absolute immediate sort of business side where you're doing something clicked during delivery. There's also the business to business selling side, so this again spans a huge array of potential positions. You could be a sales person selling, you know, your drone delivery system network to another business that wants to utilize your technology. That's a position for a sales person in the drone industry spends all the way up to, you know, managers, project managers and all these other sorts of people that make these sort of opportunities and companies really work. And again, that goes far beyond things like just managers or salesman. But, you know, there's lots of different positions that are available. You can imagine where you know you might have a little pizza shop and that particular little pizza shop they don't have the infrastructure of the resource is to build an entire drone delivery network. But at the same time, they might want to use that new industry and that new technology to deliver their peters to their customers. So you know, an enterprising young person might start up a new business to sort of become I don't know how to describe it may be like that uber eats, but with drones, Or maybe uber will take on that as well. Who knows? And you know, this person will pay this new company to use their drone network that will then come and pick up that Peter and take it to their customers so that they get to use that new technology. They can compete on a higher level and not have to actually own the entire infrastructure. So that business to business sales and services and the, you know, software and everything that they can offer to other businesses is a huge sort of area that I'm assuming businesses will jump into. And if that during that you can guarantee that there's gonna be employable positions there as well as well as that. You also have the infrastructure and the software and the security and all that. That is, you know, involved in doing either a city or state or country wide sort of monitoring and maintaining the sort of infrastructure off these drones so that have a specific aerial band where they can actually fly in, you know, might be 50 feet to 400 feet or whatever it might be, but that's where all these autonomous drones will likely fly in. And when they're doing that, just like with regular aircraft, they're gonna have to have people monitor them and make sure that crash into each other on these sort of international into city monitoring software systems are currently being designed and currently being built, so maybe you might not get into a position now. But in five years time, it might be very common to sort of be one of those monitoring person that monitors this system, which organizes all these or time is drawing, so you could also be the person that's designing that system, whether it's the user interface brought down to the actual programming up to the project manager who's managing the whole project. Or maybe the sales person who's selling that software to, you know, perhaps a city government or something like that. So I hope, Begin sort of said. There is a absolutely huge array of potential positions that this industry opens up. So for the example that I want to go through for this particular one in previous live examples, I've gone through people that have quite a bit of experience. You know, you project manager that has 10 years experience or your electrical engineer that's obviously an engineer and has gone and done that degree and also has, you know, maybe five or 10 years worth of experience. I wanted Teoh choose someone who has a little less experience, maybe who is just starting out. So for part one, I want to go through and set up the position off. Perhaps you know, someone who is a customer representative. They're just sitting on phones all day, answering customers, helping them out. You know, it doesn't matter what company do working for. Perhaps it's just a big multinational, something such a rather, and you know that answering calls all day long there helping people out, you know, customer accounts. Very sort of typical regular stuff, something where you would start out if you're just starting your career. So this person, whoever they are at this particular stage, they kind of starting to read up on. You know, this is part one. So they're doing a lot of learning and they're trying to figure out what technologies out there are any of them sort of threatening their business. And, you know, it's pretty easy for them to figure out that, you know, automation is a very, very big threat, toothy particular job that they're in. So they're answering calls that talking to customers, they're doing a very repetitive things over and over again. You know, I need to reset my password or I need Teoh complain about this invoice or it's very similar work over and over again. So they recognized that is something with a high chance of automation now, at the same time, by going through new technologies and learning about it and reading up on them, they find the sort of drone industry, and it's sort of picks their interest there, quite interested in it. And again that comes back to finding something that's not only a new upcoming and booming industry, but something that you're interested in as well. If you can find out once you move into what, it's gonna be a much better experience for you than doing something that is boring to you when you hate going to work every day sort of thing. So that's in part one. And at this point, you know this person is just rating up and getting all this information. So in part to you know, this person starts to notice more and more that the company is, you know, really starting to like that automation. They're not really sort of hiring as many people, even though the workload is expanding. A lot of it's getting taken up by automation, but it's still kind of early days. While they're doing that learning, they're starting to identify that, you know, drones. And that industry is really where they want to go into that. You know, of all the technologies they've read about, that's the one that most interests them, but they're still, you know, they don't have a huge experience. As I said before, it's you know it's their first job, their customer representative. So they also want to while they're, you know, moving into a new industry, they'd really like to, actually, you know, maybe go up a step and, you know, maybe earned more income, get a raise, all that good stuff. So they look around for certain companies that you know might interest them and in that drone industry space. But unfortunately, at least in this early stage while they're doing it, you know, currently there are a few companies, but they're very small, the very start up in nature. You know, they might only have five or six of seven employees. They're not a particularly big company. And at the moment, that person you know, they can't really take that risk on such a small company. So they just continue to learn about the actual, you know, drone infrastructure, that software systems, the actual devices, and that's mainly what they're doing. In Part two, in Part three is where it starts to get really interesting. So at the company level, they're really, really starting to push for automation. It's been a few years since they started, sort of, you know, experimenting with it and It's worked out really well for them. They have cut their stuff down there, staff down quite a bit. But that's still got, you know, five or 10 people working there, including this person. But you know, it's very, very clear to this person that as soon as they can get rid of him, they will. So he's actively looking a lot more. Now he's taking classes, trying to learn as much as he can about these drones. In this software system, he sort of zeroed in and focuses on, you know, Fleet Management and that sort of stuff. He sees that as a particularly good position to move up to. It's not, you know, something huge was bang like programming, national drawing, security systems or anything huge like that that you know they wouldn't have a chance at. It's something that is a step above what they're doing at the moment, but at the same time it's very, very likely they could get that job, so they focus in on that they do. Research on the main companies that are out there focuses on the big main companies, not the smaller start up. It's been a few years since since you know there is, some of those companies have actually grown and they're there in the hundreds of people employees level, so they're a little bit bigger. And mawr of, you know, interesting target, the more secure job as it worked. So what this person actually does is find out what software there wanting to use or, you know, is the industry standard. Tries and get a copy of it, has a play with it, or at least tries to raid up a lot on it and really learn about that actual software and how it works, what the best alternatives are. Four Fleet management, you know, get a bit of skill basically in that particular area off While is doing this at the same time, he's approaching those companies trying to get interviews with them. Finally, after you know, a couple of attempts, he does get a few interviews and with that particular knowledge about that software for the fleet management that you know, not very many other people have. And this is one of the main points that I want to kind of make in this particular type of argument. This is a person that you know they're just starting out. They don't have that huge experience like everyone else might have. But in this particular case, it doesn't matter because the technology is so new. You know, it's impossible for someone to have 20 years experience or even five years. Experience of the software was made, you know, a year ago. So you're on a much more level playing field now that had this sort of customer experience , our customer representative and the experience of dealing with customers. And, you know, that could be transferred over to internal customers. And, you know, satisfying internal customers along with that extra sort of skill off, knowing about drones, knowing about their technical, you know, reasons and backgrounds and the information about them. And really being up to speed on where the industry is as well as having that software experience really gets them, you know, as a really good prime candidate. And eventually they get one of the positions and transition smoothly over into being a fleet manager. So not only have they jumped into a completely different industry that have actually gone up a bit of a step, you know, they might have gotten the raise that now in charge of, you know, maybe 50 or 100 drones or, you know, a large fleet of drones that they take care of. And in the final part, they can essentially use this position that they've got into and over the next years, you know, really go up the company ladder. As the company expands. As the during industry gets bigger and bigger, more companies out there hear about their product. You know how much more efficient it is, the huge cost saving benefits off it. That company gets bigger and bigger, more customers MAWR revenue. And that translates into this person basically going up hard, high as the company just naturally grows. Now, looking back at their old big customer representative company and job that they used to hold, you know, the automation has completely taken over. They never hired someone to replace this person when they change jobs. It was just all taken over by automation. And maybe they've got, you know, one or two people just kind of keeping an eye on the software systems that are actually doing all the work. Of the 10 to 20 people that used to work, there may be you know, three or five years ago. So that's the whole sort of example of how to go from being, you know, very, very fresh and new and not having any experience into something where you can actually go into a completely new industry and actually jump up a step above where you otherwise might usually be. So hopefully it's a good example. Now that you know this strategy doesn't just work for people who have 10 years experience in whatever industry that come work for that full spectrum off, you know, high paying, high experience, you know, engineers or managers or whatever it is right down to someone who's just starting out and doesn't have any experience whatsoever. And if you are one of those people don't have that huge, you know, 10 20 years worth of experience to sort of build, often to interview with, really sort of think about these industries that are exceptionally new. You know, your self driving cars or you're drawing industry or something where it's impossible to actually have previous experience because that product, that industry, whatever it is, just simply didn't exist five years ago, and this is waken really sort of get a jump on everyone else because usually you know you might be going for a job and someone will have an engineering degree or master's degree or an MBA or whatever it might be in. If you're starting out, that's very hard to sort of compete with. Especially they also have, you know, 10 years experience. On top of that, it's, you know, they're obviously going to hide them or experienced candidate. But in those sort of situations, you can kind of, you know, playing the field a little bit and get on an even footing with those people. They might have, you know, 10 years experience in sales or whatever it might be. But if they're going for a fleet management position or what good is sales? So think it's not gonna be kind of regarded or even taken into account, basically, because it's a relevant experience on how you can kind of jump ahead of the competition in these sorts of industries. Now, next up in the next section, we're going into solar, wind and battery on the industries that surrounding them. This is a huge if not the absolute biggest industry in probably the entire world It certainly has an absolutely huge amount of jobs from every walk of life. So if you felt that the examples or any of the industries that I've covered so far really kind of up your alley or you tickle your fancy or anything clocked out, stay tuned and we'll have a chat you in the next section about this, cause I'm sure there'll be something for everyone. So talk to you that 26. Section 9 - 1 - Solar, Wind And Batteries - Industry Overview: all right. So welcome to this section where we're talking about solar and wind and batteries and that huge, huge industry off renewable energy. Now, this is absolutely one of the most biggest sort of industries and rollouts of infrastructure that the world has pretty much probably ever seen. We are, you know, replacing an entirely old energy infrastructure with an entirely new one. And there are jobs just absolutely everywhere the renewable energy and movement of the world are VA is potentially one of the biggest producer off jobs out there at the moment. And these jobs for all walks of life. As I said so anything from you know, installing solar panels on a commercial, rueful, maybe a residential roof all the way to, you know, manning the machine that prints out the batteries at the Tesla Gigafactory all the way back out to, you know, deploying wind turbines out in the middle of the ocean or something like that. There's, you know, jobs for literally everyone out there. And if you haven't found something so far, I would highly suggest giving a good look into renewable energy in the industry surrounding that, because there are just it is just a job making machine. Essentially. So for those of you who don't know at the heart of this, you know, huge, not new industry. But, you know, a new version of an existing industry, I guess in court is the fact that the price of these three things that solar panels and batteries and wind turbines has just been absolutely plummeting. The process. It has just been coming down hugely over the past sort of 5 10 15 years. And this is in no relation to something like coal or gas, which, you know, for the better part of 100 years has essentially stayed the same. You know, they do obviously fluctuate up and down over time. But there's nowhere near the price decrease that we've seen over the past 10 years of solar and wind and now coming up very fast. Batteries. Sorry. Just like a CTU has gotten cheaper and faster over the years. So too, has renewables. A recent report from Bloomberg New Energy Finance found that you know the global benchmarks off level ized cost of energy for solar PV has decreased by 77% in just nine years. So that's the total life cost off it from the cost off, building it to maintaining it to Decommissioning it whole overall cost. That cost has decreased by 77% in just nine years. The global benchmark L Sioe for wind has decreased by 38% in that same nine year period. And most excited A. The price index for lithium ion batteries has actually decreased by 79% in just seven years . And this last one off batteries is of particular interest. People are speculating and have done. There are now assists and all this sort of stuff. They believe that batteries are actually at the sort of inflection point where solar panels were back in about 2000. So and this is something that I personally experienced. We've got solar panels on our from we purchase them about eight or nine years ago. Now, back then, you know, we only got eight panels because they were very expensive. The panels each of the actual solar panels that eight solar panels were about 190 watts each, so each panel generated a higher 190 watts off power when it was brought in sunny. Nowadays, nowadays, though, sort of eight or nine years later. If you order by a similar system with, you know, eight panels, just like we've got eight panels, each one of those panels because of, you know, efficiency increases and the fact that this is technology. People have been improving this technology just like they do with computer chips and RAM and all this sort of stuff because that's improved those panels and now putting out about 350 watts off electricity. So those eight panels year, it's still eight panels. They look almost identical. They take up the same amount of space. And what it's gone from is our system, which is a 1.5 kilowatts system to Eve. You got another eight panels today. You'd be looking at more of about a three kilowatt system. So it's, you know, almost sort of doubled and in some cases has the amount of energy that these systems are putting out, even though it's the same physical science. So it's a very, very interesting industry and, you know, with batteries hopefully poised toe, make that, you know, level off next step over the next sort of five or 10 years, it will be absolutely amazing to see now to give you a sort of better idea of how this industry has been tracking over the past, you know, 10 or so years or put up some of these pictures here, and this should give you a good idea off. You know, just how absolutely booming these three different industries are. There are really surrounding the same one, which is renewables. But you know, it's a clearly huge trend. There's no sort of other your conclusion you can come to when looking at these pictures. It's just, you know, obviously it's going to get bigger and bigger and bigger as the world roles, you know, battery and wind and solar even more. Another important fact is that as car manufacturers start to transition into that, you know, or battery electric vehicle type demand, and we'll see that coming over the next 5 to 10 years. That's gonna put a huge amount of pressure on the battery industry that they're gonna have to, you know, step up to the capacity that they produce batteries. That is just gonna absolutely increase like no one will believe. And this is on top of a home battery storage. It's on top of what powers you know. Laptops and phones there are powered by lithium ion batteries as well, so there's multiple, huge industries. You know, not it's not just about generating and storing electricity for, you know, cold plan or something like that. It's for individual homes. It's for cars. It's for laptops and back on, you know, smartphones and all this sort of stuff. So you know, it's a very, very, very exciting industry to be in and tow watch grow. And I've got a lot of hope for the future that the actual price of batteries will come down significantly. And I really can't see it not happening just because there are so many huge industries, your all piling in billions of dollars of research to try and get that, you know, amount of batteries they can produce per dollar down as far as they can, and another sort of important point that a lot of people don't realize more so in terms of the solar and wind production is that a lot of people say that this is only for first world countries and that, you know, developing countries and all that sort of stuff aren't really, you know, doing much in terms of renewables because it's too expensive and, you know it's only for the rich people in yellow. But in actual fact, the you know, there are 48 countries developing countries out there that have committed to 100% renewable , so you know, if they've committed to it, they are obviously going to purchase and install. And this is for the main reason that it's now getting cheap. Are often in developing countries a lot cheaper to build that renewable energy resource rather than build a traditional old coal plant or gas turbine or whatever my bait. The other big important part about it is that in a lot of these developing countries, it's a lot easier for them to build small, renewable energy microgrids that connect directly up to the community rather than having this big old you know, centralized model power plant that you've gotta then run all these you know, power lines that very expensive to build and maintain toe all these different communities, not to mention the original cost of the you know generation unit. It's huge. You can just have a little cheaper and much more decentralized energy producing units. So there's a lot of arguments to say that you know it's actually way more beneficial for these developing countries. And China is another absolutely huge case off a developing country that is, you know, the world biggest producer off solar panels end the biggest user off them as well. They are installing huge amounts of renewable energy. So that sort of man sure and thinking that it's only for the rich countries and for the rich people that could afford, you know, renewable energy get rid of that entirely. It is most certainly for everyone, both rich and developing countries, so there's an absolute ton of jobs out there. So everything from the First World countries like America, who are huge installer of renewable energy, even with the current administration doing all it can to revive cold for some reason, you know right through to the developing countries like China and also India is a huge player as well. These are the three biggest countries that air committing. The most resource is and, you know, developing the most renewable energy and as such, old assume, have the most jobs available to them. So if you're in one of those three countries, good news for you in the next part of this will be looking into the sort of future parts off renewable energy to get you even more up to speed on. The industry will also be looking at the certain, you know, focal points that I believe will be going towards in the future. So I have a chat reader, then about that. 27. Section 9 - 2 - Solar, Wind And Batteries - Industry Future And Focal Points: already. So now we're looking at the future sort of focal points for this industry. So, as I said before, you've got America. China, China, America and India are the top three countries that are expected to deploy these sorts of renewable technologies over the next few years that actually predicting that there will be responsible for about 66% off. You know, just those three countries will be representing about 66% off the renewable energy capacity that's rolled out over the next few years. There's also India, who you know, so locked together with wind accounted for 90% off the of the energy infrastructure that Diaby in rolling out. So you can only imagine that that's just gonna get even better. And in terms of America, as I said, even with the current administration, you know there is still an absolutely huge push to roll out renewable energy simply because it's cheaper and better. In a lot of cases, it has nothing to do with, you know, political views or in English, that companies making pure financial, economical decisions in their best interest. So it's obviously a win for them. The other side of the equation is that as these businesses doing stall more and more solar , that sort of word of mouth gets around and it really starts to pick up. Because, you know, if you're an accounting firm and you see the accounting firm across the road install solar , you know it's gonna make you start to think that, Hey, they're doing it. Maybe I can do it as well and you'll start investigating that. And it's a bit of a snowball effect that as more and more of it gets rolled out, more and more people are aware of it and know about it and actually investigated. And oh wow, this is a fantastic deal and actually go about in purchases. On top of that kind of snowball effect, you've got the added. The other added benefit that as the technology matures and it becomes a more clearer investment, that is safer. And this is at the very, very big level of huge companies or people that are building huge wind farms or solar farms . That's on stuff. As this technology begin gets mawr more mature, the actual finance behind it starts to cost less and less, and this is a really important factor because it directly kind of, you know, correlates with how expensive that new solar farm might be. You know, if it costs them 5% of interest on their loans a supposed to 4% interest, it's obviously going to root, going to result in a much cheaper deployment. So these are all really, really good points that you know. It's basically just a growing industry. They have to replace basically the entire energy industry with renewable technologies, with batteries with decentralized grids instead of centralized grids with smarter, you know, things that actually deployed the technology better and can focus electricity on the right points of the right time. So it is a huge, huge job, and it's, you know, there is, ah, a lot of work that is done in software. But the vast majority of it is in hardware which still needs physical hands and labor to actually go out, do which is fantastic in terms of creating jobs. Now, along with those you know, companies that are buying up solar and the process of getting cheap. But you've also got that technology development in the background, so it's not just finance that's getting cheaper for these technologies, it's the technology itself is getting cheaper, and this can come in a number of different ways from, you know, higher manufacturing capacity, which translates to lower manufacturing costs all the way back to the R and D sector, where they can actually make something like to the wind turbine blades bigger and, you know, with new materials that come out, which makes the actual one turbine produce even more power than it used to. So rather than having 10 turbines that produce, you know, six megawatts each, you have could have 10 turbines that produced 12 megawatts each. And obviously you're essentially doubling the amount of electricity that you can produce doubling your revenue while at the same time you know, sure, there might be a bit of increased cost for those more fancy windmills. But it's probably not gonna be double, so you can get an even cheap up kilowatt of electricity that you're producing out of it. So these are all benefits that essentially in a translate to the industry, continuing to absolutely boom over the next 5 to 10 to 15 years as we go about replacing everything, particularly in the batteries, as Well, as I stated before, it's not just renewable energy and that, you know, energy generation industry that's focusing on batteries for grid storage or home storage. You've also got the entire car industry as well, trying to focus on it for batteries for full battery electric vehicles. So you got these to absolutely, you know, two of the biggest, possibly even the biggest industries in the entire world, all pouring in their research and their funds to try and get this price down. You know, it's not too hard to tell where it's gonna go in the future. Of course it's going to go down, and that's what's been happening lately. So I would expect, over the next 5 to 10 years batteries to absolutely plummet. Impressed, just like Solar has done in the past 5 to 10 years, I would actually even expected to plummet even mawr just because you know. So I just had the energy industry putting R and D funds towards it. This has the energy industry and car manufacturers as well as laptop and smartphone produces. You know, there's just it's ridiculous amounts of money, so expect that battery price to absolutely plunge of the next 10 years, speaking further about batteries and their R and D in their development. Most of the focus is usually on the cathode or the an ode or the actual underlying lithium ion technology, and making that more efficient because everyone is quite highly focused on that. But it doesn't mean that you know a new technology or a new type of battery can come out. And there's been a lot of excitement recently about solid state batteries, and these are batteries that you don't use something like a lithium ion. They're actually more like a solid block off material that is obviously much more dense and therefore can hold a much bigger charge in a small volume. And this is very important because they're light. Are they cost less to make, And along with that, because it is a completely different technology to lithium, iron toe have other, you know, quite desirable properties, such as being able to charge very, very, very quickly. So you're talking about minutes of charging time versus potentially hours with lithium ion batteries. Sorry, that obviously hasn't come out just yet. You know, you can buy a smartphone or a car that has a solid state battery entered at least as far as I know. But it's something that is getting a lot of people very excited and that are taking very seriously. There's been a couple off announcements from certain Tom manufacturers that are planning on using it. So it seems like a very viable technology that, at least over the next five or maybe even 10 years of it takes a bit longer to come on board that it could dramatically change things because solid state batteries, at least typically now seemed to have about twice the energy density that lithium ion batteries have. And, you know, hopefully they cost the same amount. Maybe there might cost a little more, but it's similar to the wind turbines. You got the same, you know, physical size, but you can fit twice as much energy in it. And maybe it's only 3/4 of the cost or, you know, whatever it might be a. So you get a price reduction, plus other benefits. You know, it just spurs on the industry a whole lot more. Now there's many other renewable type of technologies out there that aren't, you know, solar a window putting batteries in there as well. I know it's a renewable energy source or anything, but it's very commonly used with them. You know, other things like hydropower, geothermal, biomass, all those sorts of things. Not saying they're a bad industry to get into where you shouldn't focus on them. If you're in that industry already, obviously it's already renewable energy source. So it's not gonna be penalized like coal gas. Or, you know, anything like that would Babe up. I would say, if you're not in them, try and focus mainly on the wind or solar or batteries industries because they will be the three that will be, you know, the biggest growing over the next set of 5 10 15 years. So in the next section will go through our final set of live example and this one. I want to sort of demonstrate how you can use the strategy to not distort of going to a different position, but actually jump entire careers and go from something way. You might be at a desk or day to something completely different. Our chat to you then, and we'll go through that example 28. Section 9 - 3 - Solar, Wind And Batteries - Future Employment Opportunities And Example: all right. So never in the final part for this section and we're going over, you know, potential employment opportunities and, of course, our final live example of the strategy. So in terms off wind and solar and batteries and the deployment, it's as I said, it's gonna be absolutely huge. We're talking about, literally the world's biggest industry, which is energy production. We're talking about hundreds of countries all over the world, all pushing towards getting to, you know, 100% renewable energy, hopefully in the next couple of decades. At some point, this is gonna mean a huge infrastructure rollout, and just jobs are plenty for everyone. So if you've bean, you know, a bit wary of the industries that I've spoken before and maybe don't think it's right for you, there will most certainly be your particular, especially already, your particular field that you're interested in in this, you know, general industry. So some of the possible, you know, type of positions that might be available, things like hands on system in stores, both for commercial and industrial. So things like installing solar panels on, you know, mom and pop roof type thing all the way up to installing solar panels for huge businesses. So you also have salesman. Of course, both commercially and industrial is, well, so selling business to business soul, pounds of business roofs or selling solar panels to consumer roofs and obviously, in wind and battery as well. There's business to business companies, such as selling green energy to businesses who can actually generate green energy themselves. There's, you know, negotiating contracts for power purchase agreements and all this sort of stuff. There's onshore and offshore wind builders, both in stores and maintainers. So these air Cem actually really, really interesting types of jobs, especially on the offshore, where you've got these absolutely joy, enormous wind, you know, turbines that are out in the middle of nowhere. And you know you've got to get on a helicopter just to actually get on to them to maintain them. And, you know, installing them is a whole other ball game as well. It's very, very fascinating how they do it all, and the size of them is just getting absolutely enormous. I think G years just recently announced a 12 megawatt wind turbine. That's I believe, they said, about the height of the Eiffel towers. That's just one single wind turbine the size of the Eiffel Tower. So these things are absolutely enormous, and you can imagine building that type of a structure out in the middle of the ocean. You know, it's got a tone, special cases and technicalities and all that sort of stuff. So it's quite interesting if you know you're into that hard core building and maintaining of big machines and all that sort of stuff. Other types of jobs are things like power grid infrastructure integrators in stores and maintainers. Again, you know you're completely revamping the power grid system itself, you know, not just in the respect of going from coal plants to solar or wind turbines, but there's a very, very big shift. Along with that, too. Dirt from centralized top Sapele plans. We have big, huge coal plant that supplies a huge men of power to a more decentralized system where you have lots of little kind of micro, you know, power plants all over the place that they may produce, say, 1/10 of the power that the big coal plant produced. But there's 10 or even 20 off them around, so this old needs you know, infrastructure built to interconnect them all and all the sort of hardware and software that makes that work. So lots of jobs there. There's always, of course, the power system monitoring and management technicians of these of the people at the actual power plants themselves. There's project managers that's general managers, economic planners, programmers, everything you know you can possibly imagine in between. As I said, basically, you're almost guaranteed that whatever your profession is, there will be a most likely high demand for it in this industry because it is just absolutely huge. So I hope it really sort of obvious now that this industry is absolutely huge. So you could do jobs like, you know, you could be a sales person on call and selling solar panels. As I said to residential or even businesses, you could be a much more technical sort of engineered type person and be doing the, you know, engineering designs for new wind turbine blades to make them more efficient or, you know, cheaper or whatever it might be. You could even be a website developer for some of these companies that are, you know, trying to promote their brand and obviously need websites. You could be a programmer in the sense off Blockchain and virtual power plants, which is another sort of new side to this technology web. It's not just again big old coal power plants that produce electricity, but if you have, for instance, 10,000 homes like residential homes and they have solar on their roof and they have a battery in their garage with software and, you know, smart majors and things like that in this type of technology, they can create what's called virtual power plants, where these homes essentially band together to create one big virtual power plant. And they will supply electricity not just when it's sunny with this all panels, but also at night time as well, because they have batteries. And they can also offer very quite your precious sort of types of services to the grid, which other traditional power plants can't because, you know they're a lot closer to the source taken off a frequency control, which is a very important part of the grid. And this is all sort of made possible by the Internet by software again, that building of technology on technology as I mentioned much earlier on. So these are just all different sorts of jobs that you could potentially get into. And you hope it's really becoming clear that this is kind of, you know, the absolute biggest industry when it comes to creating jobs. Now, if you're a more conservative person and you don't really sort of want to risk a lot of job security and maybe a family of four and you know, very dependable, you've gotta have a dependable income source. You might want to try and focus on that solar and wind side two categories for this industry. They are currently a lot more built up, a lot more mature type of industries, the battery industry, whilst being very mature for things like laptops and phones and that sort of stuff when it comes to sort of home residential batteries or business batteries. Or, you know, grid scale batteries and things like that and even, you know, to do with Evie's and electric cars. It's still, you know, it's certainly a very, very growing industry, and we'll have a lot of potential in the future. But you know it's at that earlier stage. Solar and wind are very, very well developed at this point, so you might want to focus on them. If you're kind of, you know, perhaps you don't have a family yet in your you have a bit more flexibility in hell. You know, risky. You convey with your employment you want to go after that battery industry and, you know, apply Tesla or Red Flow LG or something like that and get into that sort of side of the industry. So there's both camps. It doesn't sort of matter which sort of phase of your life you're in. There are both opportunities about that for you. Now, on top of all those jobs that I mentioned it all those, you know, potential positions that you could get into. There is one other sort of category that a lot of people don't really sort of think about. You know, they see wind and solar and batteries and all that sort of information, and they forget about the sort of interlinking technologies. And one of those really important indolent e interlinking technologies is the actual inverters. So these are the pieces of equipment that actually convert D. C. A C electricity or a C to D. C. Electricity and both is required because solar and wind produce electricity in a D C form direct current that needs to be translated into a C alternating current for use and generally the grid and your home and what we generally used today. So that sort of piece of technology. Usually it's a big block of wire, essentially a bit more complicated than that, but that's the basis of it. That technology is obviously produced by certain companies around the world. And, you know, there's a lot of expertise and technical stuff that goes into that to try and make them as efficient as possible. You know, you don't want to put in 100 watts of DC electricity and only get out 10 watts of a C electricity. That would be horrible, horrible conversion rate. You want to make it, you know, as close to 100% efficient as possible. And, you know, companies like test, they're actually leading the world in the inverter technology. They do it mainly for their cars, but they also have it for the batteries as well. That's another side of the equation. Batteries that actually store their electricity in D C form. So you need both where you might wanna charge up the battery save during the middle of you know, the night or something like that when electricity is cheap and then use it later on in the day when electricity is more expensive, you need to take that a si you know, grid torrent and stored in a D. C. Batteries. So you need to do that conversion, and then it needs to convert the opposite way as well. So these you know, a C D. C converters a very, very important and are critical to the renewable industry. So I would expect as that renewable industry grows, you know, whenever they deploy a solar system or so a plant or a wind turbine, they need to also deploy those A C and D C inverters to make that conversion into the grid . So this is another sort of less well known industry out there, but certainly an industry that I would expect to absolutely hugely grow over time. So I hope you can really see now that you know, one of the main areas for jobs in this industry is actually for people who are a lot more hands on. So previous ones that we've talked about like cybersecurity. While there are hands on workers, well, maybe you're deploying servers in storing equipment. In that regard, the bulk of the work is actually done at a desk in an office, talking away on a computer, whatever it might be for, you know, solar and wind and the renewal Boy. In this industry, there's actually much, much more of a focus on creating jobs that are, you know, physical based that you're out on the roof. You're installing solar panels. You know you're out in the middle of the ocean urine storing a giant wind turbines, lots of stuff. So for people that are more inclined and prefer this type of working or they like to be outside all day that I want to be stuck in a cubicle or they like, you know, constantly going to new locations and seeing the world. Maybe they love being out on boats and, you know, getting to explore the ocean while they install wind turbines out. There are lots of different people, have lots of different interests, and a lot of them can be catered for. With this particular industry such that's actually what I want to go into now. Final example now, which is the case off a person that you know is in that, you know, dreaded cubicle life typing away on a computer. And they want to go and move outside into a totally different industry in a totally different job where they're actually outside and using their hands to build stuff and get their job done. So for this example, in Part one, we're gonna look at someone who is a taxi driver. And while that you know, they're not in a cubicle per se, they are stuck in the car that's sitting down there, forced to sit down. For, you know, eight. However many hours of driving around it's seen by this person is a very unhealthy lifestyle . You know, they would like to be a lot more active than what they do day today and, you know, being a taxi driver. They're also quite aware off, you know, the impending autonomously driving cars and thus autonomous driving taxis as we spoke about before. So in part one, they've been doing their sort of research. They have, you know, very, very quickly become aware that there are taxi driver autonomous cars are coming. That's not gonna be particularly good for the industry. During a bit more research on that particular topic, they sort of estimate that it might be around, you know, maybe two or three years, depending on where you are in terms of when the technology will actually be fully developed and production ready, and people will be out of buy and use it in a much more wide scale. So they don't have a particularly long amount of time in terms of, you know, to transition smoothly out of their current job. On top of this, they also realized that, you know, once the actual technology is rolled out, that even then you know, it could very quickly go from not being a particularly huge problem to being a very, very big problem. And in a very short period of time, particularly because, you know, the technology might be rolled out in two years time and nothing might happen because it's not, you know, legal yet. Sure, the technology exists, but in their particular city and state and country, it's not actually legal to have a car drive itself. And what that sort of creates is perhaps they can build up the technology, make it better in bed are, you know, build out all these autonomous cars while they're actually getting this, Laura proved. And as soon as that law does get approved that day that it gets approved, then you know, bangle. Those autonomous cars that they've been building, maybe for the past year can all be deployed instantaneously. And it's a very sort of sharp transition from being, you know, perfectly happy. He's got a taxi that's doing well on business as usual to all of a sudden, literally overnight, having to compete with hundreds, possibly thousands, of autonomous cars that maybe up to 10 times cheaper than what he is actually charging. So he's made very aware of this. He's done his research, and he's, you know, very aware that this is quite a very disruptive force, that he needs to actually take account force. That's in part one. So in part two, this person obviously aware of the transition that's coming, that their job is probably gonna be made a relevant very, very quickly. So they start reading up on other technologies that are actually booming and, you know, interesting to them. and one particular field that interests them in this case is solar and renewable energy. The voice saying sort of solar is a very interesting and fantastic technology, and they've always wanted to get involved in it. And not just that. But, you know, sitting in a caf right out today behind other cars, with their toxic fumes pumping into the car, you know, day after day after day it's seen as very, very unhealthy, and he wants to really get out. You know, as I said before, do manual physical labor a bit more, get a bit more exercise, but with installing solar panels, you're also getting a lot of fresh air. So it's a very, very big difference from sitting and not really doing anything can being fed toxic fumes to , you know, really doing good manual labor and actually getting fresh air as well. So this is sort of decided by Hema as the change that he wants to make, not just going from a completely different position into a completely different industry, but a different type of work as well. So a very, very big switch and a very big change in his life and alongside that he kind of realizes that, you know, while she's interested in solar panel with, he doesn't really know anything about them technically or doesn't have any qualifications to do it. But with reading up about it, he actually finds out that installing solar panels, you know you don't actually need to be that highly qualified to do it. You do have to go through some minor qualifications and get certificates, but you know, it's actually quite an easy process. It's not like a four year engineering degree or anything that extreme. That's, you know, a week or two off a short class and maybe a test and get a certificate, and then you're capable and allowed to go and install sell 10. Also, this is when he tries and focuses on, and he obviously starts looking for those types of courses and looking for those types of businesses that might start to employees. So after searching online for a few different types of courses and the information and data , he finds that he can actually go and do our five day intensive course to get fully qualified to install solar panels, be fully certified by his city to be able to do that. And while this is different for different cities and states and countries around the world , it's from most places in most areas. It's actually quite a quick sort of painless thing to do. It might be two weeks or something like that of it's a bit more in depth or slower course. But you know, as I said, it's not a four year degree or something that's hideously expensive and takes a huge amount of time to actually do so. It's a very, you know, relatively cheap and easy way to get fully certified to do Ah, very in demand job. And that's what he finds, you know, going through those companies and trying to submit resumes for his job. They're in a huge demand, you know, that hugely booming industry. So it really doesn't take him very long to actually find a new business and find a new job that he can actually smoothly transition into from being a taxi driver, now, in part for what kind of skip ahead. A few years in this scenario and you know, you can imagine what the outcome is potentially be, you know, they're getting a lot more fresh air. There are a lot healthy, and they're doing a lot more physical activity. So perhaps have lost a bit of weight as well. There, you know, now increasing their training. Maybe they're not just installing solar panels on residential roots, but they're getting into being more qualified and installing it for major businesses and possibly even huge solar farms. You know, it might have a bit more money. It's a natural progression in terms, off way you go in your career, getting more and more qualified as you do the work more and more. Looking back at the old industry, off taxis not might be four or five years later, and the city has finally approved, you know, autonomous cars that they can drive around without anyone driving them. And it's all totally legal. You know, there might be a huge outrage, and, you know, lashed back from the taxi community is all these uber's or lift or whatever companies responsible for them is rolling out these taxi services that basically 10 times cheaper than what a taxi might currently cost him. They can't compete, and they're all losing huge amounts of money. And, you know, while this isn't a particularly nice scenario for those taxi drivers. This is sort of the contrast that I really want toe, you know, get across the people and that you can be in either one of these camps you can do study. You can, you know, look at the technology that is coming to effect your industry. You can analyze it and make that smooth transition into an industry that is booming and, you know, has a bright future ahead of it. Or you convey that person that you know, never reads up on technology because they can't be bothered. And, you know, quite a different fate awaits you in that sort of regard. You don't know it until it hits you on that day that your job might be made irrelevant, so thes the to sort of paths that lie ahead of you. And there's lots of different, you know, ways that you can go into different jobs that might be the same job. But in a different industry, it might be a different job in a different industry. It might be a completely different type of work, in a completely different type of role, in a completely different type of industry. There's all sorts of ways that you can do this and play this strategy out. But it has the same overall effect that after, you know, continuous learning about a certain topic. You know, learning about the new subject and possibly taking some short online courses or doing whatever is necessary to get yourself qualified enough to transition into that position. Whether you take your previous experience with the or you start from absolute scratch, as I demonstrated before, it doesn't particularly matter at just result in you being employed in the future continuously, even though one of your you know existing industries completely may die and be disrupted by a huge amount. So heart, this is really, really clear that you know that old mantra off going into a job and staying there for 40 or 50 years. Just it does not work anymore with the huge amount of technology and innovation that's coming every single year. The next 5 10 15 years will be absolutely amazing in terms of new technologies and get rolled out on how we advance in the way we do. Things will be changing, you know. Previously, we've had the Internet and mobile phones really sort of come online and change a huge deal of things over the next set of 5 10 15 years year. Looking at very big industries like cybersecurity like a I like renewable energies replacing that entire system. You know, Elektronik, battery electric cars, you know, the list goes on. As I said, it won't just be, you know, mawr technology. It will be an absolute flight of technology as we really sort of get all that accelerating technology building on itself. And it is important today that you do this continuous learning that you're aware of these technologies in another five years. It'll be absolutely crucial to, you know, continuous employment over the many years. It's not just about learning the new technology. It's about figuring out which technologies will actually affect your industry and how to see where the technology is going and how you can best sort of smoothly transition if that is required to continue your employment. So this now ends, you know, the formal part of the course. I hope you've really enjoyed it. And I haven't, you know, board you too much with me waffling on about all this sort of technology. It is very interesting for me to talk about so I can go on a bit. But I hope I've effectively communicated the points to you that important. If you want toe, go look at some of my other courses. I have a particular important one on. Had a pay off your mortgage Early way. You can pay off your mortgage in under 10 years. There's other ones as well, which are a little less serious. You know about how to become a fantastic drone pilot and use that technology you know, all the way up to building. You're in deep learning PC lots of other different courses. There's also a lot of free guides out at alec schulman dot com, where you can reach me on Twitter. So thank you again for taking this course and watching all this sort of information. I hope it's really, really helped you. Now I do have an extra section that has been of bonus content. This isn't part of the formal course, but it's just a quick overview of another three separate industries or technologies that are considered a big, quite important as well. Not as important as the other four but still very, very important. They're also more long term things as well. So while something like renewable energy is being built out and deployed right now, these things are a bit more often the future a bit more abstract, so they are very important. And I would highly suggest just having a quick listen to a December. You're aware of them. You know, perhaps they're really, really impact for in your specific industry. Or maybe they're not in. It's just, you know, interesting new stuff to be aware off. But either way it's up to you whether you listen to the next section, but thank you again for taking this course. 29. Section 10 - 1 - Nanotechnology: all right. So welcome to this bonus section where we have a lot of bonus content on industries that aren't as I said, As you know, fully rolled out and diverse is current ones, like renewable energy by their still exceptionally important for the future. And the 1st 1 is nano technology, So a lot of people don't know too much about nanotechnology. But nanotechnology refers to basically any technology that's obviously on the nano scale. Now, to get a sort of conceptual idea of how big nanometers arcs, it's very difficult again for a lot of people. A sheet of paper, like the thickness off a piece of paper, is roughly about 100,000 enemy to stick. So you know a lot. And to get into more single digit numbers, you know, human DNA is roughly about 2.5 nanometers thick as well. So you know the level that we're talking about the size of we're talking about here is exceptionally small. So nanometers and, you know, nano technology is actually so small, were down at the scale where you know the about medium to large molecules, so not individual atoms, but actual groups of atoms or molecules of Adams and the sort of medium to large size words . So that's the sort of scale that we're talking about. And when you get down to that size level, because it is absolutely so small, the sort of classic physics model kind of starts to break down in a lot of situations. And, you know, you get these very, very strange properties of materials coming out, and they could actually be very, very useful for a number of different applications. Those things, like superconductivity or super hydrophobic, where you know these actual materials will be conduct electricity very, very, very well, much better than something like copper would or that I'll be hydrophobic or super hydrophobic, which is where they repel water. Very well. So you get these, you know, absolutely waterproof coatings that they can put on things. Do these materials and obviously these types of properties, you also get things like very, very strong and light materials. They all really, really good types of properties that a lot of different industries want to actually use from, you know, airplanes to computers, Teoh, perhaps clothing or everything in between. It's a very, very popular market now. Nanotechnology itself has been sort of bubbling away in the background for, you know, a few decades, and it will continue to do this. It's still very much, you know, research and development in the labs, but there are starting to be some actual products that are sort of actually leaking out. And, you know, do you think as a consumer go and actually buy? And some of these examples are still in trials. There's been ones that have a small patch that you can actually, you know, put on your fat wherever it might be, and it will actually melt away or fat. Using this nano material and nanotechnology, there's other ones that you know, I've seen actual heating. So with CP use that obviously get very hot while they're actually running. You need thermal paste, usually in between the CPU and a heating, which helps to cool it down. Now this thermal paste has to be very, very good at conducting heat so it can transfer the heat from the CPU to the heat sink, where it can actually dissipate all the heat properly and thus call it down. Now, nano materials and things like graphene have bean used and you can actually go out and buy those products and actually use that instead of the thermal pace because it's a lot better . It's more durable. It conducts heat a lot better and is just, you know, easier to apply because it's, ah, physical strip that you just plunk on top of it and you're done. Whereas a paste you have to squeeze on and sort of, you know, mush around. And maybe it's too thick or too thin, and that affects things. It's not as simple toe applies, just putting. You know what is essentially kind of like a piece of paper or, you know, piece of teen or something over the top off you'll see the you. So these are very, very new and, you know, fantastic technologies. Nano materials themselves because they are, you know, so unique and have such fantastic properties. Once they finally do breach that you avoid between sort of the research labs and a consumer product that you can go on by yes, sometimes talking about some very substantial leaps in technology. So it is still happening in the background. But it's good to be aware of what is actually happening because When it does come out, it will be a you know, quite a significant leap in technology. Now, another part of nanotechnology is what they call, you know, nano robotics or molecular assembly as well. These are sort of two different sort of technology types that I must admit are far bit further in the future. Then you know something like graphene or whatever. That's being very well developed even now. But the potential for these things is absolutely huge, So Nano robotics is obviously robotics. But at the nano scale, zehr tiny, tiny little robots that can, you know, don't manipulate molecules or DNA or other things like that. So if we were to successfully be able to build these at scale and you know relatively cheaply, they could do such things as we're pay or DNA on the fly and essentially make you live a lot longer and with much better health as well, it would also sort of translate to being Alber to make things a lot more dense or something again, like a computer CPU that would be out who be made up words over 1000 times, fast out and you know a lot more energy efficient because it could be packed into a lot more space with new materials and new technology. It's just, you know, you're talking about an absolutely huge leap, you know, 1000 fold increase in something like computational power is, you know, huge. If it was made in one particular step and said these are the sorts of potentials that come out off nanotechnology and whilst they are still in the future and it's, you know, waiting around for a bit longer, when they do actually come out, it will be very, very significant. Molecular assembly is another really, really huge thing that is even sort of further into the future. And that's where we actually build anything. Go everything from atoms up. So rather than, you know, getting a piece of wood and chipping a wire that to you get, you know, horse or whatever it is that you're building. You actually build the horse, Adam by Adam molecule by molecule up until you actually have that horse. And you know, if you have this sort of level of technology, it would essentially just turn the entire world on its head because you could build anything from the ground up, kind of like three D printing, but a lot more precise with atomic precision that opens a whole new sort of can of worms, basically and would be a ridiculously huge evolution. It would change almost everything about the world. So these things are hopefully coming in the future. When is a lot more uncertain than something quite cybersecurity or drones or something like that, which will not more concrete? And today, even though they are still a bit future technologies? But nanotechnology is certainly huge, huge industry that I would expect to grow over the next set of 10 to 20 years. Now, obviously, as these technologies are a bit more future orientated, you know you're not gonna be out to go out and get a job is a you know, whatever it might be to do with nanotechnology, you're not gonna be installing nano technology any time soon. But there's still a lot of jobs, especially in the R and D and research labs, and that's on stuff seaview arm or science orientated. You can certainly look into that field. It is a huge, hugely important field. The other side of it is some of those products, as I said, are starting to sort of leak out. So if you are very interested in that field, you can look at jobs in those sort of limited companies for now. But I would expect the number of companies to grow for the moment. A lot of the nana material research and development of products that are coming out, things that use stuff like graphing. You know, you've got your is I Vicks. I believe it's cold. As an example, they currently produced a carbon nanotube fused epoxy adhesive, and this epoxy is like a bonding material that bonds together stronger than actual welding . And so you've got something you know that is essentially like a glue gun, but can weld stuff together. So that's kind of the importance off nanotechnology and how much difference that it can make now up next in the next part of the section, we're going to be covering a bit more exciting industry in terms off that it's actually happening now, which is genetics, and we'll go over a particular interesting, particularly interesting point that's actually developed in the past few years. That has totally changed the entire industry, so I'll talk to you then 30. Section 10 - 2 - Genetics: all right, so in this second part, we're talking about genetics now. Genetics has obviously been around for many, many years, and, you know, it's sometimes been a very hot topic, sometimes hasn't always kind of being just research and development, and that has made a number of good breakthroughs. But in recent years, a particular one called CRISPR is actually being developed and particularly the crisp A cast nine because you know that is obviously based on Chris Paul. But this crisper CASS nine sort of gene editing tool has really, really opened up the sort of wealth off the ability of people to actually do this gene editing. So in kind of think about it as previously, genetics. You know, you're always able to edit Jane's, but it was very, very expensive, you know, on the very large, corporations or companies or research labs could actually do this. You know, it's kind of like back in the eighties where, you know, only very few companies or big universities had computers or mainframes. They took up entire buildings and very, very big, very expensive. Not many people had access to them with Christmas has knowing this takes the ability to edit Jane's and hugely reduces the cost and complexity of actually doing it to the point where it only cost a few $100 to do. And you know it can be done by students at university level. So as you can imagine, this, you know, huge reduction in price and complexity and complexity means that a huge array of new people can use the tool, do more research and sort of just push the field forward. So, you know, difference between having maybe 100 companies in the world that are in a suit supercomputer toe having, you know, literally billions of people all over the world having access to computers and being able to make absent programs with them. You know, obviously you're going to get a lot more push forward in that industry. And the same thing is happening with genetics right now. Now, along with this new ability off crispy cast nine, another potential, even bigger development of something called gene drives. And this was developed recently as well. And this is where you essentially you might edit someone's jeans and, you know, maybe you change a baby from having green eyes to blue eyes or whatever you know your genetic alteration might be. Maybe it's not on human. Maybe it's on an animal or mosquito, Whatever it might be your changing that things genes usually that trade. You know, the baby with the blue eyes would basically end once that person dies. But with gene drives, what that has the ability to do is to force that animal human, too, when they actually have a child offspring. That gene gets forced onto that child. So even if you know traditionally, you would have, you know, perhaps green eyes, one more dominant over blue eyes. And if you had someone that had blue eyes and someone that had green eyes and they had a child, you know the baby would have green eyes because it's a more dominant gene gene drives essentially overtake that and anything else, and they forced that. So this person with blue eyes has being made to have blue eyes with a gene drive their offspring, their child would forcibly have blue eyes as well as that gene drive. Regards of whether, you know green eyes were traditionally you know, the dominant gene, so it forces this trade to continue one And then you know that child, if they had another child, would of course, have blue eyes as well. And it forces this trait on throughout the entire species. Eventually, As you know, everyone eventually breeds with everyone. Obviously, that would take a long time in someone like human species are humans. But for mosquitoes, they have, you know, estimated this modern take maybe one or two years, the the entire species to essentially be forced whatever this gene edit that they do might be so This is an exceptionally powerful technology that can allow people to actually alter an entire species the world over in even a few short years. And, you know, obviously that's some pretty far reaching consequences if it's something like mosquitoes or maybe bees or, you know, other types of animals that all interact with plants and other animals and humans. So that's a very big responsibility. And it's a very big, you know, technology that is actually being developed. And there's a lot of people that are quite scared of it and rightfully so. Currently, there seems to be in a bit of ah, stop on the technology at the moment, you know, people were sort of stepping back and saying, You know, what are the benefits and the pros and the cons of doing this? And they're discussing this and having conferences about it and all this sort of stuff. So they're being very, very responsible about it, which is excellent, obviously don't want someone to just randomly going, you know, change and it it genes in, you know, tigers or horses or cows or something like that, and then have that propagate throughout the entire species the world over without anyone else having to say so. That's very good that they're taking their time on this. But it is a fantastic new technology that has just recently being developed. Another fantastic side to genetics is actually computational power now. Previously, when you want to wanted to sequence, you know someone or something's DNA, it would take a long, long time. A lot of computing, parent cost a lot of money. Now, with the advent off cloud computing and much fast computing, you know that sequencing of the day and I is much quicker and again just makes it available to a much broader audience on top of that one out saying you know more sophisticated computer programs to analyze that sequence data. You know, ai machine learning is well using that technology to again Make that even quicker. All these sorts of you know, technological advancements are building on, you know, the traditional gene editing and, you know, gene sequencing that was already there before enabling new things, enabling us to better understand the actual genome of a plant or human meaning. We can actually edit things a lot better and more confidently. And this is actually led to a lot better ability of geneticists to actually edit food. Now, one of these foods that actually has been genetically altered already is called golden Ross , and Golden Rice has been genetically edited to produce more beta carotene. And what this does is not only sort of turn it a bit of a golden color, hence the name, but it means that it has actual more vitamin A in it, and vitamin A deficiency is being sort of noted as a huge, you know, killer off Children under five the world over, especially in poor countries that actually kills over half a 1,000,000 Children under five every year. And so there hope with this is that whilst you know, sure, they can't feed the Children enough Vitamin A. Hopefully they can get Maura of this golden rice into their diet, increase their vitamin A and hopefully stop him from dying. And this is a fantastic result that has been rolled out. There has been some opposition to it, but you know I won't try and convince you one way or the other. I will point to this fantastic video on GMO and gene editing of food and stuff. It goes through both sides and explains a lot of things and very easy to understand details . So if you are interested in that topic, fill Fred. Have a look at that video to excellent resource, I think, and hopefully that make things a little clearer as well. So I hope it's clear that genetics is a very well set up industry already, and there are a lot of jobs, especially in the research and development area. But, you know, there's also some other news sort of uses and cases coming into it. There's companies like 23 May who use your Dana to sequence it and then give you information about it. There's other companies that do the same thing except give you information on, you know, perhaps your ancestors or things like that. Lots of sort of new novel cases and businesses popping up that obviously also need employees toe work it. So lots of different types of positions birth, in research and in traditional business are available. For now. These are just sort of the starting businesses that are coming out of labs from genetics and are expected in the future. There's even more diverse businesses out there. Who knows? You know, perhaps one day there will be a clinic or a business that you can go to and you get a shot or something, can it changes your eyes blue. What changes You hear color and you know it. It's your genes on the fly. It's very, very possible. Obviously, a lot of research and testing developing. We need to be done. But you know, this is the sort of future that you know isn't actually too far out. It's not science fiction anymore. They have proven it can be done, and it's, you know, I think quite a fantastic future. But the next part that will get into now is even more exciting. I think that neither nanotechnology or genetics and that's actually machine learning. So I haven't covered this in a huge amount of detail yet. But in this next part, I will because it is still very, very important I'll talk to you that. 31. Section 10 - 3 - Machine Learning: all right, so last, but by no means least is machine learning. So machine learning is the overarching terminology that's used for basically all the other buzz you buzzwords that you hear out there So deep learning neural nets machine learning. You know, I I all those sorts of things all come under the umbrella umbrella, term, off machine learning. So machine learning has actually been around for a number of decades. They had, like, a I winter. They called over the sort of think eighties or nineties where, you know, there was a huge amount of hype about it, but then it didn't really play out back in the eighties and nineties and savor on and kind of just, you know, most excitement in it basically and ignored it for a number of years. And why it's become such a huge thing recently is not because that they've developed any huge, great advancements in terms of machine learning itself. A lot of the things that we do with stuff like image classification was actually invented quite a while ago. What is very different now is the level of computation power that's available so with things like PC graphics cards that were primarily built to play games. And, you know, for the gaming market of PC builders and all that sort of stuff doom and Quake and grand theft order on all those sorts of things, those graphics cards can actually be utilized to do machine learning as well as deep in your networks and all this other sort of stuff. So it's actually in part because of gaming essentially and the rise of that and, you know, millions and millions of people buying graphics cards and paying for that research and development to build these faster and faster graphics units that has made machine learning possible. Along with that, along with those graphics cards that much cheaper and much more powerful and have much more memory in them. There's also the other side of it, which is actually big daughter now. Big Dada, you know, obviously came about after sort of 2000 or 2010 where we started generating a huge amounts of daughter. And this is really important for machine learning because you know, all else being equal with the same sort of programming and the same sort of, you know, based system. If you have you know, 10,000 images of a cat versus, you know, a 1,000,000,000 images of a cat you can train that saints same system up much, much better with the more images in the bigger daughter. So this sort of collection off Darda that companies like Google and Facebook have been able to do with the huge databases has really sort of made their neural net and their machine learning systems that much better because they have that daughter to train the system one, you know, it's just like anything that we humans do. If I, you know, try and do long jump or something like that and I have 10 goes at it, you know? Sure, I might be out of do it a little bit. But compare that to me if I tried to do it after 10,000 goes out of obviously going to be a lot more experienced, I'm going to get much better results. It's the same thing for machine learning now, when it comes to a Iot machine learning. A lot of people think that it's just, you know, niche. Certain cases like maybe you know, the assistant on an iPhone. It's very you know useful case, Sure, but it's not particularly your globally reaching or anything like that. But it's actually very wrong. A lot of you know, industry leaders have actually speculated that AI is essentially like electricity in that Initially when electricity came out, sure, it had its uses. But over the next, you know, many, many decades it was essentially rolled out and made use off by every single industry you know that went from light bulbs, toe factories to cameras, computers to it basically just rode out and improved every single industry. A huge man better. And they see I I machine learning as sort of a second coming off electricity of you will where sure, you know, you'll still have your cars. They'll still be driving around, but they will then have a I on them that will dramatically improve their efficiency. It will give them new abilities. You know, obviously the cars that might be something like self driving cars and fully autonomous cars . But this is the kind of thing We're also seeing it again with cameras where they, you know, intelligently check the actual scene that you're taking. The photo. Waldman determine what the best settings for the cameras are you know, all these sorts of improvements in efficiency gains for every different type off, you know, piece of equipment, industry, all these sorts of things. So they're expecting a I to roll out essentially over the coming years, across every single industry, regardless of what it is, regardless of what they do now to give another sort of real world example of this AI machine learning rolling out to existing industries. The example I'd like to use is with Google. Now they have a lot of data centers out there, as you can imagine on this servers and cloud computing and stuff that they use. And with a lot of computers in the data center, it gets very hot as per usual, and so they need to call it and make sure the temperature doesn't reach too high. And this takes a lot of energy and a lot of, you know, sort of technical work to sort of balance it and make it as efficient as possible. So you're not just pumping huge amounts of a scene to something with, you know, the doors left over open or something like that. It's got to be very, very efficient and you know they want to save as much money as they can. And obviously there's been, you know, leading experts in this field and developing this technology and developing these systems for many, many years. You know, computer data centers are not a new thing. They've been around for decades, so this is a well established industry, and you would expect Google to bay at the absolute forefront off this with huge number off data centers and the complexity that they dropped. Now that all being said Google Racing, they actually developed an AI and actually put one of its data centers the cooling and sort of management systems for that cooling in charge off by an AI so that handed over all controlled to the IR system and said, Yeah, he got he's only controls for the air conditioning and the windows or whatever it was. You figure it out, you learn you demise as best as you can. And the results were actually quite staggering. There was a 40% drop in how much actual energy required this AI to effectively cool and maintain this doctor center than what Google was using before now that is a huge improvement. I'm not talking about Google refitted there, you know, data center, with more efficient air conditioners or, you know, installed some new fancy technology hardware wise. It was using the exact same hardware and cooling systems that were there before it was just a software change. So days, a types of improvements that can be seen in, you know, even industries as benign is just, you know, air conditioners and cooling and that sort of stuff. It's not super exciting, but you know, if you can shave 40% off your electricity bill, hell, even at home, you know that's a huge wind. But if you're a company 40% off something cocker cooling bill for a daughter center is an enormous amount of money. So these are the sorts off, you know, performance improvements and gains that are can get. That's not just in that, you know, they can now be humans in Pocar. They can be humans in go. They could be humans in, you know, chess and jeopardy. And it's just getting more and more and more of these things that ai machine learning getting much better at than even the best humans in the world. Now, this is sort of the current day abilities off. I I This isn't you're talking about the future or anything like that. This is what is actually happening today in, you know, artificial intelligence and machine learning. That's why I'm sort of quite bullish on where this technology is going and how much potential this technology has. And currently, a lot of the positions are just in programming and, you know, developing these machine learning algorithms and improving them and rolling the matter systems. People are frantically trying to do this, Aziz faster rate is that Can you know when you've got huge companies making savings like 40% off their electricity till, you know, any sort of company is gonna be scrambling to try and match that or better, You know, it's not just from a pure perspective of, you know, saving money. It's also, you know, that's business level stuff. If your competitors is, you know, doing something 40% cheaper than you, then you're a significant disadvantage to them. So there's a lot of competition going on that you know, one company rolls out this fantastic new AI or machine learning feature their competitors has to as well. It's injury. Otherwise they will just pale in comparison to them. So this hiring off computer program is an artificial intelligence programmers and all that sort of stuff. People that know breathe machine learning is actually almost gotten to the point of, you know, celebrity status, where these people that are absolutely leaders in their field can command basically whatever wage they want. That's a very, very, you know, important and, you know, a car and a developing field and should just get even bigger in the future. Now this demand for machine learning programmers. Obviously there's a huge demand for it with them paying these heart process, which means there's basically limited or not enough supply off these machine learning programs. So there's a big opportunity right now, and for many years into the future, I would expect for anyone who's kind of interested in it, maybe, or a program already. And you know, your job's not really going anywhere too much. If you can start learning that machine learning programming, you open up a huge new category with much higher wages with much more demand. You know, a big sort of shift for you, but you're still doing your course guilt off, maybe computer science or programming. Maybe you're just interested in the whole field itself. Maybe you are a programmer, but you know you can still set of start doing courses online stuff about it. There are many, many courses out there that will teach you both paid and free about machine learning. There's even my own course on how to build your in deep learning PC so you can check that out as well. But that is pretty much it there, the whole course and bonus content as well. So we're pretty much done if you want even more stuff as they go to my website. Alec schulman dot com lots and lots of free guides there to, you know, tell you even Maura about upcoming technologies. Keep track off the industries that I've sort of mentioned before. Things like drones, Machine Learning II, nanotechnology, all that sort of stuff. Lots and lots of information there that's continuously getting updated. So feel free to have a look at that, and I hope you've enjoyed all the content and I'll see you next time in one of my other courses. Thanks