0:00 Trailer / Intro
1:06 Season intro: what’s changing
2:17 What won’t change: connection, performance
6:26 Robots, efficiency, corporate incentives
10:03 Big question: what to learn now
11:31 Knowledge isn’t the moat; “buckets” idea
14:24 Advice by age: teens vs 30s; soft skills, uni
17:42 Licensing and near-term resistant roles
23:31 Top-of-field automation vs human-centric work
29:20 Yampolskiy’s claims on jobs and timelines 34:04 AGI by 2027 and safety lag 38:45 Five stats that show the shift
43:45 Hiring reality: appeal to humanity in interviews
47:11 Customer service, AI and satisfaction
50:41 Simulated emotion and speech patterns
54:32 AI training on AI; so what to learn now
57:08 Human-preferred services you’d still pay for
1:07:02 Do what you enjoy; purpose and hobbies
1:08:49 Entrepreneurship and side gigs
1:11:40 Personal brands and ad spend shift
1:14:16 Key skills wrap; invest up the stack
1:15:33 Coding, AI startups and the bubble
1:17:40 Final takeaways: adapt and enjoy
1:17:52 Outro

Trailer / Intro

If you have a runaway trolley, would you run over those five adults or would you run her over the one baby? Which one?Are you actually asking? Which one would have you run over? Jeez, what what a thing to put on a podcast. I don’t have a clue. Now, I know you can never predict what’s going to happen. I guess in this case, you kind of can, which I think for me makesit even scarier because I can see what’s coming. So, anything you can do on a computer can be automated. Yeah. In the next 5 years, knowledge is no longer themain barrier. But ultimately actually what you want is a dispensable workforce. It it’s a very high stakesworld. Now if you have an interview with a person, you’ve got to appeal to that person’shumanity. It’s the fact that people are fallible that makes them human.Yeah. That makes them human and interesting to other humans. This is the thing. This is why I think the human element of it is the thingthat will survive. the Education Lounge podcast.[Music] Okay, I’m back for another season.

Season intro: what’s changing

Yep. And um we’re going to start it off nice and cheery. Um I don’t think that most people areaware just how much things are about to change, but in the process of changingin the process of changing. I think cos I started watching a podcast on this I think yesterday which I’ll talk about in a bit but the future of like work and jobs and all of that now given what we do as partof the tutoring part of the um business we obviously get a lot of kids notknowing what they want to go into and parents asking these these sorts of questions. So my initial questionis more personal I guess is it are you fearful of the new worldand how can you plan when you can’t predict what’s going to happen now Iknow you can never predict what’s going to happen but I guess in this case you kind of canwhich I think for me makes it even scarier over because I can see what’s coming I think the Jeff Bezos said it’s better

What won’t change: connection, performance

to concent concentrate on what won’t change then and I always I always kind of thinkthat’s a really good good way of looking at things. So if you look behavior if you were to look 10 years down theline or whatever it’s not just that though it’s like it it’s also you knowthere are things that won’t change in the next 10 years and but but there’s other things that will change a lot inthe next 10 years. Yeah, I think I think most people will be able to use two letters to tell us exactly what willchange. That’s all anyone’s been talking about for last two three years at least.But in your view, what won’t change? Because I I know we’ve we’ve had entireepisodes on AI before. We’ve seems to crop up in every conversation we have.Um and I I I always say that it’s the human element, the human connection andcreation uh won’t change like it will bea bit different. People will try and use AI to recreate that level of creativity andconnection. it like the example I always use is the zoom calls over co people ended uphating them and wanted to go back to actually seeing real people and I think the same principle plays out here sowhat what do you think is a thing that’s not going to change I think the performance I I think a big thing that won’t changeis and I think it’s mirrored in you’ve started playing chess recently right yeah last about month or soum obviously computers have surpassed humans a longtime ago in playing chess. That’s narrow field though, isn’t it? That’s No, as in as in I’m just taking aprinciple here. As in people like to watch people playing chess.Okay. Ultimately, we don’t we I mean, it’s kind of enjoyable. There’s been new ideas that have come out of the sort ofintelligence explosion in chess especially especially uh the neural netuh games because you can take ideas from that sort of thing and then apply them inhuman terms. I’m not I’m not aware of of what happened in just c certain things that we didn’tthink were possible certain openings or certain things like that that you learn from computers and you can apply to thehuman game and then it’s elevated the human game right so that is an element in which computershave surpassed the levels of people but people still want to watch it and it’s because people like watching people.Yeah. So, it’s still the human element. It’s like it’s like if you watch football, it’s the mistakes and stufflike that. It’s the the it’s the fact that people are fallible that makesthem human. Yeah. That makes them human and interesting to other humans. Yeah. So I still see massive potentialin terms of if you are someone who likes getting in front of an audience.I think that domain willit’s going to be hard to disrupt that. Yeah. Although there are a lot of people you know think aboutinfluencers and all this sort of stuff. All of this stuff that used to be only accessible tobig corporations and you know BBC or whatever else is now in everyone’s pocketand so everyone is able to project themselves through camera andwhatever else like influencers and stuff. So I don’t think yeah that’s not going anywhere but there are AIinfluences coming around and stuff like that as well. Going back to the football thing I think I’ I’ve seen a video ofrobots playing football. Yeah, it’s kind of hilarious. Is it? No. Isn’t I’m surein their current state, it’s kind of hilarious watching them play football. I’m sure I’m I think there’s massivepotential for people to utilize when we do have robots everywhere and stuff like that, you can utilize those tools to

Robots, efficiency, corporate incentives

create value. So, for instance, when Tesla finally have their robo taxisand stuff like that driving around everywhere, I’ve seen I’ve seen them. You just buy a fleet, wouldn’t you? Youjust buy a fleet of these and then they can go out and make you money. Yeah. Butone thing that a lot of people sort ofI don’t think is a point many people focus on, but it’s actually a lot of the time the inefficiencieswhere people make their value or money. Soif you think about the artisan uh instrument creator like a vi violinsomeone who builds a violin. Yeah. The amount of skill that you need tocreate that from hand is uh massive. But does it need to be from hand?No no no. as in as in as mass production sort of builds up and stuff like thatand you have the machines able to create these instruments then naturally that beso capitalism makes things more and more efficient naturally. Yeah. But it what it does is it will squeezeout the value of the human worker. Yeah. I always think this likeI always seen this with big corporations. Um and yeah, you know, people say that someof them do evil things where else, but like if you think about, for example, where uh McDonald’s started just twobrothers just Mhm. making burgers in a really efficient way. Yeah. People had never seen before.The bigger you get, the less um what’s the word? more individual kind ofindividual the less tailored. Yeah. Everything is everything is where you know again withSamsung or any like tech company they started in garages and tinkering away like humans being interested in thething tinkering away at it and then now everyone just has the same if you’re if you’re a corporationimagine that you take a corporation eye view the world you want your workers to bedispensable right yeah Really, you don’t want anyone who’s likefree. You don’t want a free thinker. You don’t want Well, you want people who can create things that make you money.So, so you want some level of free thinking in that sense. So, creativity within the work.Yeah. But for the people designing, creating the product, but for the people putting it together, you don’t. Yeah. But ultimately, actually, what youwant is a dispensable workforce. So, you don’t want any key key men key men risk.Yeah. Yeah. um you got to pay them more money. It’s bad if they or something like thator go away or get taken by another company. So ultimately, if you take a corporation eye view of everything, yourincentive is to diminish the value of human labor to the extent that it’sbasically, you know, these are just parts. I can move it in and out. Yeah. And AI is going to acceleratethat. Yeah. Ridiculously. Yeah. So, back to the initial question.Um, when a parent or child basically asks you whatwhat they should be doing. Yeah. The question

Big question: what to learn now

is in a change like in a changing world, what should you learn right now? So, skills, jobs, uh what should people belearning right now? Because like you know five, six, seven years ago like oh just learn to code. Yeah. It’s changedand now there’s a machine that does that for you. So looking forward,what would you say people should learn right now? Not just obviously it applies mostly to like Gen Z, Gen Alpha,us kind of as well, millennials and not so much to people that are verging on retirement. But what would what wouldyou say that the people that we teach and the people below them and maybe people our age, what should we beworking towards now? We’ve still got another like what 30 40 years of work ahead of us. Mhm.What should we all be doing? Well, this is a question that I’m kind of scared to answer in a sense and I’mthink wrestle with it. I I I’ve wrestled with I have as well. Um I think about it as well. And I thinkthat we were in a knowledge economy. I think of it the knowledge worker.Yep. So your job what your role in societyfor most people is to build up your knowledge base as much as possible so you canyou know enter an industry where there is a market. Mhm. And I think that’s fundamentally

Knowledge isn’t the moat; “buckets” idea

changed because knowledge is no longer the main barrierit because it’s because it’s easily accessible. This is umbucket one, isn’t it? I’ve not looked at this book since I read, but I think it’s I read it like three four years ago. Ithink it’s bucket one. Bucket one. What you know is your knowledge. Going to fill your buckets in the rightorder. what you know, what can you do,who you know, what you have, and what the world thinks of you andyour reputation. So, if Andrew can zoom in on this, but the buckets. So, doesthat still apply? I think those first three buckets are gone. You mean the first three buckets aregone? Yeah. What you know, what you can do, who you know.So, you think it’s all about what you have and what people think of you? Uh, who you know probably? Oh, yeah.First two buckets. Your knowledge and your skills. Yeah. Depends what skills. Uh, I guessI I think like it depends on the time frame that we’re thinking becauseif we’re thinking next five years, there’s a lot of skills that will still be relevant. But if we’re thinking 10 to20 years, and and and I think a lot of the time, like when you think of what should youdo, you presumably want to think long long term. You don’t just want to think5 years. You want to think 10 20 years. Yeah. Like what will my life look like in 1020 years and what will I be able to do? How will I be able to help people? And I think I think that’s the thing. How are youable to help people? there’s some very short-term easy wins in the next 5 yearsum if you are willing to learn certain skills. But on the long-term basis,I think we’re accelerating to a point where you get sort of essentiallyperfect capitalism, which isn’t although people I believe in capitalismas in trying to do things as efficiently as possible and then dividing labor up so you canyou basically get specialists in certain places so people can be utilized in the best way possible.Yeah. But when it’s taken like any idea taken to extremes,you you will reach a point where there will besome pretty bad consequences. There will be some massive winners andthere will be some very it it’s a very high stakes world now.Okay. So, let’s say let’s do two cuz I’m kind of curious

Advice by age: teens vs 30s; soft skills, uni

about us as well. Yeah. Someone that’s our age, uh, 30s,what should they be doing? And someone that is, let’s say,starting out like young. Well, yeah, just finished GCSEs or just finished uh A levels or college or uni,you know, 15 to 20 something. I’d say for someone sort of GCSE age,over the next three years, there will be a lot of change. So you’ll be in you’ll have the slight advantage that you arestill you know you got time ahead of you you’ve got you got some time in which you can watch some of the change yeahand then make decisions that you know um but ifyou’re so I actually think they’ve got it slightly easier in that sense becausethey they can see it happen and then they can they’ve got time to adapt and they canOkay. So, what would they what should they be working on? I think building a good base in the softskills is still critical and will always matter.Yeah. So, it’s back to that thing. Back to the things that won’t change. Yeah. The human interaction stuff is stillgoing to exist. Obviously, I’m going I’m not going to say ignore your studies. I I’m going tostill still say it’s important to build up build up your knowledge becauseyeah, knowledge at some level is very I’m I’m just I’m just saying that Ithink in the long term the idea of going to university and reaching aridiculously high level in something and studying for a PhD in mathematics or something like that might not be thebest long-term plan. So I do think if you go to uni, you take stuff to a highlevel, it it’s not just about it’s what it used to be more about what job youcan get is when you come out of it. Yeah. I think now the relevance of that is different. I think it’s more developingyour mind and your your knowledge and and just the way that your mind works and um just yeahimproving neural connections and all that sort of stuff. I do I do think there’s still purpose to things. It’s a bit like you knowcreative writing. Mhm. So I know that one day like I know thatcomputers have already overtaken say 90% of people’swriting ability like there’s that sort of 10% that are incredible writers andwell cuz they’re large language models LLMs have all of the stuff already fed to it. So there isn’t there there isa sort of point at which okay well the AI models have just improved so much like to what extent is it relevant doingsomething like creative writing but then that’s not really the point of creativewriting for me like it’s actually that it’s the enjoyable part of it but interms of in terms of like career and work what shouldwhat should someone that’s finishing uni or or college or GCSE. What what shouldthey be learning? What can they

Licensing and near-term resistant roles

bring to the workforce if there is one on a five five year time scale? Ibelieve useful things to learn are things that will havelicenses. So there’s some form of licensing. Okay?like there’s some sort of barrier to entry to achieving that qualification and there’s going to be no matter whatyou say like say in 10 20 years or whatever there’s still going to be problems with an AI or a robotachieving that qualification or whatever or being allowed to.So give me an example. Are we are we talking cuz driving needs a license? Although in thein the episode I watched yesterday, driving is like one of the top 10 professions in the world.Yeah. As in by 50% of of workers in the world. orwell yeah this it’s in the top 10 of number of people doing that job and thatif you’ve looked into LA and San Francisco and you’ve seen way more driving around or you’ve seen like the new Tesla taxis that are on on BCtesting at the moment and Amazon’s come like Amazon’s got one too. Yeah. So that if someone needs a licensethat’s going to go so it’s not all licenses. What about like a surgeon?Well, they already have robots that can do keyhole surgery to a higher rate ofaccuracy than a human. What licenses are we talking about? Well,something like um solicitor or lawyer, theystill like because they’re a actual lawyer,that still has value because I would have thought that would be one of the first ones to go. No, because you can feed it all the it canread through all the documents, do all the data because it it doesn’t. So, don’t get me wrong, like it’s notsomething completely immune to it because AI models will be able to absorbthat information like probably offer legal advice better than mostlawyers, that sort of thing. But I’m talking for a few for a few jobs and afew few things there will be you will need a lawyer to like sign off on it andthat is still that’s still worth something. Okay. It’s not the I’m not saying these arelike great protections. They’re not. Okay. Right. Let’s let’s think of it this way. What what is something thatwould be in your eyes the most protected from what’s about to happen?Is there anything I can’t really think of much sure of likeI don’t know teacher anything personable electrician be very highelectrician very high yeah and plumber uh I think that would be replaced itwould take longer to replace but I mean if you think about it this way it’s a job that you’d love to replacewith robots like generally if you could have a robot that just fix stuff. Butit’s going to be very there’s a technolog technological challenge there that they’re going tohave to overcome. There are licenses that need you know there are there’s alicensing system there. So I think that’s like the least likely to beautomated quickly. So in the next 5 10 I don’t see that change in 5 10 years. No, but I I think it will.Yeah. Like as in I think 20 years. Yeah. 15. So then the people we’re talking aboutwho are like 15 20 years iswhat they’ll be 40 45 when they when theyin some ways I think it doesn’t even matter because if they can replace that then you know what else are they they’regoing to be living a life of leisure I think or crippling poverty like I don’t Ithink that’s more likely. But I don’t I think like money itselfwill have very little meaning because like where where’s the means of where’sthe value being created? Well, it’s not being created by the main workforce anymore. I guessno one no one will be able to buy anything. No one have any money. Like the point of money is notis not that it holds any intrinsic value in of itself. It’s no it’s a promise. It’s a means means of exchange.Yeah. So it just lubricates productivity essentially gives peopleincentive. Yeah. To do things and and exchange their their time for money. So you think you think plumber,electrician, those sorts of jobs? Long long term. They’re they’re pretty good bets for the next 20 years, 15years. Okay. Well, pass that. Um because this so the mo the the thingis is that come on to it. You’d say generally all right do the most difficult thing study the mostdifficult thing possible and you’ll kind of be safe because like the knowledgewill protect you in some sense that’s a moat. So for instance, if you got a PhD in machine learning or something likethat or mathematics or something that could be a great protection, but I thinkit’s kind of the opposite because in this economy those are exactly the sortsof things that they want to automate. Yeah. And really that that’s that’s the thing

Top-of-field automation vs human-centric work

is like because everyone has access to everyone has access to their knowledge now. Yeah. Yeah. What what do the companies actually want to automate at the topend? And that is it’s going to be like basically AI research.So I think AI research isn’t necessarily a good thing to go into. Well, no, because the the current the AIwill be able to do their own AI research anyway. So, and then once you do that Oh, yeah.Mathematics as well because basically all of this is a mathematics problem. Yeah. um at its core. So I think mathematicslike the value of knowing a hell of a lot of math drops plummets. It doesn’tmean that it’s not a good thing to learn because you still it teaches you how tothink certain ways. So there’s a logical value problem solve. Yeah.But yeah, it doesn’t really leave. I can’t think of there’s not much reallycan’t think of well. So like electricians, plumbers, builders, that sort of stuff. What about umtrying to try I don’t think there is a definitive answer. I know I’m trying to find a definitive answer. You did say teachers and I think thereteachers, dentists, childare there there’s child care there there’s there’s fairI don’t know robots and all you know I I think there’s like a it’s what the robots can do and what the AOS can doversus to what extent people are willing to allow them to do it. And that’s likethat’s a completely different level of trust. Well, with the child care thing, it’s there’s a lot of stuff that wecan’t see that takes place like chemical reactions and andyeah, uh pherommones and all this sort of stuff that we are not fully aware of forhow it works. it. I don’t think a child brought up by a robot that doesn’t have,you know, a heart and a gut and all these sorts of things would turn out aswell as if it was being looked after by like a actual human person. Yeah, we’veseen it with like children raised on iPads like like there’s there there is Ithink there is an in intrins but then by the same token if people are likeare given more time by these tools and stuff like that they’re going to be raising their own children. They don’t need tothey don’t need to go out to work so therefore they don’t need nannies and nurseries and yeah as in it’s a completely differentYeah. But once you start once you start going down the chain of these things, you realize that one thing affects another and actually that’s also gonetoo. Yeah. It’s like if you think about like the the super dominant companies in the world.Mhm. Really? Who are they selling products to? Like you could say all of us, butwhere’s their real money being made? Like who’s actually buying from them?Like who’s buying from Nvidia? who it’s really these other big corporationsthat all buying from each other it’s all B to it’s like a lot of it isB2B there’s obviously a lot of companies that make money from consumers like youneed food and stuff like that and entertainment or whatever but the majority of their profits probably comefrom it’s it’s like a cloud infrastructure like that’s a massiveYeah. Well, I mean, yeah, most of Amazon’s money comes from Amazon Web Servers, AWS, used by like Disney Plus,used by BMW, used by all these big companies. Yeah.Um, and they’re sell and what are they doing? They’re just is basically selling data harvesting the populace. Yeah.In order to sell basically sell corporate solutions.So, but then what about people like um like Apple for example? They’re they’rethey make basically all their money from providing to consumers. Yes. But I think like in their caseYeah. It’s like entertainment, isn’t it? Because we don’t really need iPhones and that sort of stuff. It’s in the neweconomy. I don’t think it will matter as much. morelike these I think like a company like Apple will be way less dominant than ithas been in the past like it will decrease in in its power and then you’llhave like like Google and stuff taking over. Yeah. Yeah. Like I I see there’s a a big shift.It’s already started to happen. You can see it. So capital will concentrate at the top. I I’m not like as in I’m not GaryStevenson sort of person in that sense. Like I’m not like I believe in all of his ideas. I thinkhe has the solution and he’ll fix it. But I’m quite aware of the fact that andI I did I did some when I was doing my master’s degree, I did some of my workwhen I was studying it did go into sort of in looking at market marketfundamentalism. also um catches taken to the extremesand the effects that has on societies and that kind of thing. Um and theyweren’t necessarily very good effects in the long term. Short term it’s like ohpeople have jobs and stuff like that but actually the the decline in wages and stuff like that they areit’s a product of this uh efficient capitalism. We’ll just go on to this.Um, so I started watching one of the uh DEO episodes yesterday. Didn’t finish itin time. Um, the how do you say his name?

Yampolskiy’s claims on jobs and timelines

Lampolinski. Yampolski. He’s uh considered to have coined theterm AI safety. Yeah. Back in 2011. And one of his points was the jobimpact. He predicts unemployment on an unprecedented scale. So this is not likewe’ve ever seen it. This is up to 99% unemployment by 2030as digital work is automated and the robots take over physical labor. So anything you can do on a computer can beautomated. Yeah. In the next five years. Mhm. Uh I don’t I think he’ll be slower.Things like this are usually slower, but with the rate things are going and the increases of things are happening andthe compound effects and stuff like that, maybe. But I think it might be a bit longer, but I’m not an expert. Heprobably is. So, um 99% by 2030. What are your thoughts on that? Well, I’ve always I’ve always thoughtthat there will be mass unemployment as a result of AI and robotics andautomation, but but you think it can five years. I’m I’m not sure. Well, I’m not sure about 5 years becauseNo, I don’t think five Well, I don’t think so. I mean, I was speaking speaking to uhwell, the the people across the road from here, one of our clients, umwith the older brother, two older brothers, and they both work for National Rail,British Rail, something like that. Um one of them works on the tracks, one of them works on the overheaduh electrical cables for the train. Mhm. I don’t see robots doing that in 5 yearstime. No. as as in I think it’s it’s kind of one of those weird revolutions in asense because well when you’ve got to design a very very specific robot to do these things now unless youdo have the Tesla bots and stuff like that and they get programmed with positioning and stuff like that likeback in you know when when you were a kid and you’d watch the Jetsons or something like thator um like irootthey They they all had a human-shaped robot doing several several tasks. Yeah.And what actually happened was you had or we have different robotsdesigned for very specific tasks like robot vacuum, robot lawn mower. Yeah.Like robot window cleaner. Like there it’s not a human shaped thing. So unlessthey make either a very specific shaped robot to do a very specific task like changing the electrical and loads themelectrical cables for trains up and down the country on the world or you have acompany like Tesla or somebody else who make these robots that are human shaped. They get programmed with these tasks.Yeah. And you have loads of them. again apart from those two var those two optionswhich both sound like quite a mammoth task I don’t see happening in 5 yearsI think well I think the problem with robotics is it hasn’t it’s a field likeyou’ve got this AI field in one direction and you’ve got robotics in the other directionum and but now what we’re seeing I think the 5 year thing might might that’s abit I think that would be unlikely but possible but unlikely nowwhat we’re seeing is the sort of merging of those two things and be and AIs areso like the stuff that Nvidia are doing it’s probably insane like they can modelout a whole workplace and then train robots in infinite scenarios like withinthese virtual workplaces and stuff like that. So before you used to have toprototype something and then create the environment and then create all these scenarios separately. Now because of thepower of AI and machine learning and neural nets, they can they can just dothis training like like that. like you you’ve seen with like in terms ofinvestment that it’s getting quicker and quicker to train robots and cheaper and cheaper to train them and we’re going tosee like an explosion. So I do I do think that will happen again the fiveyear thing is a bita bit arbitrary. It sounds like yeah to me well let’s look at the more near time. Another one of the things that he’s umhe said is in the near-term timeline, so by 2027, next couple of years, uh he

AGI by 2027 and safety lag

argues that AGI could arrive. So, AGI is artificial general intelligence, whichis theoretically it’s a type of artificial intelligence that has humanike levels of thought abilitiesuh capable of understanding, learning, and applying knowledge across a wide variety of things like humans ratherthan a specialized single job like the current AI systems can do. He thinks that AGI, artificial generalintelligence, will arrive by 2027. Yeah. And that safety and alignment won’t besolved by them. He predicts markets and lab leaders have very short timelines.Yeah. No, as in I I think it that’s probably true as inI mean I always kind of think about chat GPT and these these other modelsnow the things that we see in on the consumer side are not what they’ve got.Oh no box. Um so I do I do think it it’ll be prettyquick. Like I think it’s coming very soon. I don’t know. My chat GP my chatGPT can’t remember to not include dashes. There’s m dashes that uses.No, but no, that’s that’s what I mean. But it think about the progress inlike I’ve got to think like two years ago or a year even a year ago. Um itit’s hard to Yeah, it’s hard to remember the rate of improvement. The rate of improvement until you lookback. Yeah. It’s like picking up an old phone or something. You don’t remember it until you see it again. The fact is is that wemove we move goal posts. We we go, “Oh, we should be able to do this and it should bekeep moving it further and further.” But the fact is like if you actually look above and andtake a sort of wide view of it. Yeah. It’s insane how quickly it’s improving. Like did you see phones improve thatquickly? I didn’t see phones year on year. Yeah. The thing is thissort of stuff is is um I don’t know what the graph is. It’s sort of in level it’s exponential and itlevels off. So at the beginning you see very very quick jumps in improvementlike with the phone thing the camera would get better. 2009 2010 massive jump.Yeah. like and and it happened again and again and again in the last few years it’s we’ve plateaued and I think the samething is the case for I think it’s fractal it’s the same thing it’s the same thing is the case for everything sowith chat GPT you have one even one month three months it was like a leapbut it will end up plateauing as well everything does but at the moment it’s actuallyincreasing in speed so as in Even even though it might notseem that way, the fact is that the standard user is unlikely to seethose improvements. Yeah. But it will it’s still on that upwardtrajectory. Um and I I’m I’m not fully convinced by the fact that we’ve likesolved the way the models work, right? I think it, and this is whythey’re concentrating so much on mathematics, because it’s a math problem at its core, all of this AI stuff is ifthey they might have to come up with a new field of mathematics to actually geta model that truly reaches super intelligence. I thinkgeneral intelligence, it’s not that far off. It’s well to apparently you could evensay It’s fairly good at the stuff that it does now, but I think all the agentthings take it to the next level because it could if it can do most of the stuff thatwe do on the computer say then you know it’s kind of at what point do you do yousay that’s not general intelligence? So it it knows quite a lot of thingsknow plenty of like the stock of human knowledge. Yeah. Um I know like for instance if Italk to Jamie so our physics tutor he’s very good at physics. So like as inhe’s taken it to a very high level. Yeah. He’s got a masters in physics and hecan spot problems with its understanding of physics butI don’t see that being as the case for very long. Yeah. Yeah. So we’ve discussed a few different areas

Five stats that show the shift

and how the world’s changing. We have five stats that five quick stats that are going toshow the changing trends and and how the world is changing. So the first one is39% of core skills will change by 2030. That’s which kind of touched on kind of like a prediction and more thana stat but yeah 39% that’s taken fromwhere’s that? World Economic Forum Corsera World Economic Forum. Oh, here. Yeah,sorry. I know what’s going on. Two, which we’ve kind of seen already.Hybrid is the default. So, among remote capable workers, 55% are hybrid, 26% arefully remote, and 19% are onsite. There’s a US study. That’s an interesting interesting one because Ithink one thing that I’d be cautious of if you’reif you’re a young person or or just anyone looking for a job now is that if it is fully remote, be prepared to losethat job. Yeah. Because it can be done on a computer. Yeah. Okay.So things like what we do currentlyuh like teaching tutoring um it’s that’s people Yeah. So it’s relativelysafe. It’s in person. Yeah. Yeah. As long Well, as long as people’s The thing is it’s a shift in attitudes,isn’t it? So as people become more comfortable with online Yeah. And I’ve I’ve seen thatwe’ve had more inquiries for online, but then I I do think it’s a pendulum swing. It’s going to do that and it’s going to come back again.Yeah. Uh third one, I AI work at AI at work ismainstream. I mean, it’s kind of obvious. 78% of organizations use AI in at least one business function or more.I mean like we use it all the time, don’t we? Yeah. And you don’t you don’t always always think about when you are using AI. So ifyou’re making a thumbnail, for example, like a thumbnail for this YouTube podcast, whatever, clicking removebackground, that’s AI. Yeah. It’s not just like LLMs and chat GPT andwhatever. It’s Yeah. When we become unable to tell whether it’s AI or not. I think that’sthe point where it’s It started. It started. There’s been acouple of videos like uh reals and shorts that I’ve looked at and thoughtwere real and then looked at the comments and then everyone’s there’s there’s a couple that I’m starting to miss now which is a bitworrying. Even Google search and the fact that Yeah, it is like every single search is an AIsearch. Yeah. Well, you want to cannibalize yourself before somebody else does. Yeah. So, they’re smart with that. Theycannibal They’re cannibalizing their entire search. engine before somebody else like OpenAIdoes it for them. Yeah. So smart. Uh four, grad competition has spiked andwe’ve seen this with all of our staff and uh graduating students and stuff like that. There’s athere’s around 140 applications per job in the UK as of 2024 up to 59%.Oh, up 59%. M the highest in 30 plus years.140 applications per job. Now I don’t know you you’re the one thatdoes the the hiring in this place. So when you get applications come through.You say a lot of them aren’t suitable. Yeah. Or good. Yeah.Um so yeah, depends if everyone’s just applying for anything or we can’t we can’t know that.There is there is that, but I think it’s also the fact that I know that there are people are awarethat they need to apply for more jobs now than ever. There’s probably a lot of AI applications too or people applyingin that sort of way. But yeah, it does mean the sifting process is quite effortnow. Well, unless you had an AI that sifted it for you. I had an interview recently with someone onlinewhere I was fairly certain that person was using an AI.When you say online, you’re like a video call. Yep. And they were using an AI while they were on the call to you.Yeah, I think so. As in there was something odd about theThere was some there was something very like it was a script.There was something in inauthentic about it that didn’t feel this is the thing. This is why I thinkthe human element of it is the thing that will survive.I’ I’d say that that that’s definitely just a point moving forward for any young people is if you have an interview

Hiring reality: appeal to humanity in interviews

with a person, you’ve got to appeal to that person’s humanity.And if I sense that someone’s really warm and a good person, I will although Iobviously want that person to be capable of learning and doing the job that I I place a greater stock on that on ontheir um personability than purely knowledge. Although obviously and thatsort of thing you you need to have the level of knowledge required for the job and the level of capabilities to learneven not always you hire on uh higher on personality traits because knowledge can be trainedbut also ability but as in I think you’re going to hiresomeone with a very good attitude but if they don’t if they just cannot master itthen you you won’t you won’t hire them. you’ll discover very quickly that they’re not a good they’re not right forthat position. But in those cases, you might if you’re a big company or something like you’ll be like, I likethis person’s attitude. They’re not really working here, but you could like maybe reposition them because you’llbecause of your connection to them and you know that they’re great worker potentially, maybe you’ll find a way toutilize them in another way. So, I’d say like always aim for those sort of beingpersonable rather than a robot. Yeah. Okay. Yeah. And the last one wasskills first. Skills first means more opportunities.So going skills base can expand the talent pool uh around 6.1 times globallyhigher. So but then you said according to thisthe first two buckets have gone and the first bucket was skills.Yeah. I I think this is a very short-term effect. Yeah. So I think over the next 5 years youmight find companies employing more hiring more in some cases but thelong-term vision for a lot of these companies will be to hire less. Yeah. And we already seen that in terms of thecorporate reporting. So now it used to be a sign of growth that a company washiring more people, but what we’re seeing more is like companies that areproducing more efficiency and hiring less. Yeah. And thus being more profitable are doingbetter. So when they’re replacing people with AI solutions, um they areI do think it’s a pendulum swing though. I think it’ll come back around. I think in a like think back to uh investing ifone if everyone’s doing one thing you do the other. I think long long term I would I wouldprobably just end up hiring more people just cuz when it does swing back around again which it willwell you have do you have the talent pool? I think it depends on the the function in the job but I I’d say if you’ve gotsomething very you you say this but sometimes you know for instance customerrelations Yeah. Um, now you’d think having a person there wouldincrease a company’s performance and have fewerum complaints, but it’s actually been

Customer service, AI and satisfaction

shown that they’ve so some I can’t remember muchabout this, but there there is some evidence thatreplacing in your staff with AIS is actually moreproducing more satisfaction c customer satisfaction. I think that’s because if you talk to ahuman, you could complain to a human. If you talk to a telephone, you can’t put in a complaint, can you? So, it’s kindof a redundant thing. You can you can still you can tell a human that you’re dissatisfied with the service, blah blahblah blah, and that will get registered and logged somewhere. If you’ve got like, oh, press one for this, press two for that, you can’t I don’t know dothat. So I don’t know if it how many times have you talked to a person not actually managed to like they don’t knowanything about it or they don’t understand what the like you’ve you’vehad that a few times where you’ve ended up solving the problem or Oh yeah yeah that’s just me.I’m not a normal human being. I don’t know. I think I thinkif you’re if you like if you’re operating on a phone Yeah. you’re gone like you’re going to be gonein very depends what it depends what it is but yeahit’s like actually even a job as as complex as ours in terms of like how youtalk to the customer and that kind of thing. I think it’s it’s it’s not an insurmountable amount of information foran AI to understand and learn. So, an AI will eventually be able to do it better. It won’t it won’t take a ahell of a lot of time. AI salespeople will eventually beat a human salesersonwith what they know. Yeah. Depending on again, it depends on the industry and what the job.I don’t think it depends on I think it does. Can you think of an example where theywon’t take over? Depends what time frame we’re talking.Like five years. Yeah. Like even even talking to our clients now, I don’t I don’t think thatif an AI doesn’t have the information to begin with, but a human does. Well, that’s because No, that that wouldbe because there’s like a poor level of like there’s not enoughum linkage between the AI and the information source like thebut if an AI knew everything, could it not? here. But then you need tohum the human taking that class or delivering that lecture or whatever it is would need to spend time putting itinto the into the AI that still requires a human because it no student.No, no, but the the actual job itself of doing a sales call or something like that, I think it’d be very easy. Sosales call. Yeah. Yeah, but you’ve got to build trust and you’ve got to get people on board and that sort of stuff. Unless youIt’s this I just don’t think it’s all going to be fully replaced in the way you think. But you can you can simulate that.Yeah. All right. Wait a minute. How many salespeople are complete psychopaths?A lot. A lot. Yeah. And you don’t need emotions.You don’t need to you only need to simulate emotion. So sell Yeah. And then if but then if you if the

Simulated emotion and speech patterns

if the customer or client is talking to an AI, they’ll know that it’snot real emotion. No. No. How do they know at that point?Like if it’s so if it gets to Yeah. In five years it will be therekind of. It gets put in, doesn’t it? Like I I I did a couple of uh chats uhaudio v vocal chats with chat GPT and they’ve programmed in like little stutters and little laughs and theyprogrammed in humor and emotion and human thoughts.Yeah. So I’ve noticed as well that actually the way that people talksometimes seems to like it seems to have have a two-way effect.Yeah. Hello. On the one hand, what we saybecomes so what the AI says take is taken from humans.What the humans say is now taken from AI. And I’ve noticed in people’s speechpatterns and just whenever they’re talking, they’re sort of programmedalmost. So, I think there’s like a bit of a two-way mix and sigma won’t be able to tell the difference because everyonewill sort of come from that same source. This is a one massive problem with AI isum I think it’s calledtechno is when it convergence te technologicalconvergence. So everything that we’ve produced ends up producing the samething. is a bit like art. So divine and that thing like we all end upthe same thing. This is why I said when we last spoke about it is that it can’t create. It cancreate based on what it’s already been given. There’s nothing likenew it can conjure up. He created a new branch of mass something like I think that therethere’s a sort of limit to that. at some level there will be there will be ashift and you’ll see that AI has become incredibly creativeand it depends what your model of creation is. Yeah, Idon’t know. I’m not convinced that I feel creation for me creation comes fromsomewhere else. It’s I feel like it comes and you channel it.But I think I don’t think it’s you can just give it to an AI to to do it can simulate itmaybe but it won’t be real and you can feel that. But what about I think AI AI was createdby us ultimately to take over like as in we I think there’s like a a a destiny toit like we always fated to create something. Yeah. With our intelligence to createsomething more intelligent than us and create something I think it’s going to be the downfall honestly. Yeah. Okay.Because like there’s a whole we’re not going to go into all this now. There’s the simulation theory that we’re part ofthe simulation of some other beings uh thing. And what we’re actually doing bydoing making a AI closer and closer to becoming sentient and having its own world and thought isbecoming God essentially. Yeah. And that’s the beginning of the downfall I think of of everything.I do think it’s it’s poetic. And then when that starts to create its ownthings thing, yeah, that would become the god of of that. And I thinkI think that’s what ultimately will cause like humanity to sort of fail.We’re seeing the first steps of that as well because AIS are creating their own training data now like as in

AI training on AI; so what to learn now

Yeah, that’s terrifying. That’s just this. I think it’s stupid, but I think it just it’s stupid.All very very clever. No. Well, I mean, we all know where this is going to go. 99% of job loss likemass is is it’s going to end up in deaths and all sorts of stuff.But I think that’s that’s it’s just that’s it’s fake. I think we’re just everything’s a cycle.We’re in like one I feel like we’re towards the end of a massive cycle. That’s what it feels like. Mhm.I’m just going to see if there’s any more points that I want to bring up. Very small niche roles will persist. So,traditional accountant or bespoke uh humanmade services,products, small basically niches, but a lot of that’s licensing, isn’t it?Like he actually talks about simulation. I don’t think I’ve got this far in the episode. Um,he believes it’s likely we live in a simulation using the rapid progress in AI and VR as part of the argument, notcentral to jobs, but in a segment in the episode. Okay, so I’ve not actually got to that part yet, but it’s kind of what I just said essentially. Um,so that’s an interesting tangent, uh, but still relevant, I think. What should we learn right now?If the future that we’ve spoken about is even remotely true, what should we do?I think one good thing is that no matter what happens, the steps to youdon’t I don’t even think you can really think of it as preparation. the the steps that you taken.What do you mean? Not because I don’t think you can be fully prepared like as in you can start to prepare.You can’t you can’t prepare for something that’s impossible to predict,but you can you can sort of the you’ll take similar actions nomatter what happens because the changes are fairly obvious. Okay. Well, let’s let’s I’ve got acouple of prompts we can probably finish up on to try and help answer this question because I know the the title issort of what was the title of the what do we choose for the title? What what can wewhat would you do? Yeah. Guides and skills for an ever changing world. Yeah,we can we’ve tried to answer it as we’ve gone through but we haven’t really come to a conclusion. I can’t unpack it, I guess.Yeah. So, let’s um let’s start with this. Obviously everything that can be done on a computer can be

Human-preferred services you’d still pay for

automated. If digital if digital tasks go first,which human preferred services would you still pay for? Would you still pay human for? And why?Chalker like as in those sorts of things. Give me give me give me a few.Chalker. That’s that’s I don’t think I’d fully trust but eventhen like people are fallible you know I don’t completely trust alluh teachers or all child minders or babysitters like you still need to get agood understanding of the person and even if you think you have a good understanding there is an element of the unknownI think that’s also the case with robots was then I I b yeahit’s like a you know um we with self-driving a lot of people make thepoint that it doesn’t matter if a a car is twice asgood as a human driver. What matters is it’s like it’s 99%better because to have that fully have people society generally as a whole tolike pull in the same direction and want to be true. It needs to be a hell of a lot better, not just like slightlybetter. Otherwise, it’s not working. Reminds me of um well, I we mentioned earlier, iRoot.Yeah. Um it’s based in 2035, i. Robot. Um, butthe reason uh Will Smith has his robot arm or whatever is because the robotwas the car crash and they both fell in the water and the robot worked out that Will Smith’scharacter had high higher percentage chance of surviving than the kid. So, the robot left the kid to to drown. spoilers. Iknow it’s like 20 years old, but um so it reminds me reminds me of that and that is things like that why I stillwouldn’t trust you say that, but I think he made a good decision. No,he became the hero of the of the film. Yeah, I think you’re missing the point, but yeah. No, no, no. as in there is a sort of umbut I think in those those sort of life death scenarios you need to actually take the pragmatic action and that’s thething that humans struggle to do because we’re wired with all of this emotion but that’s insane. I can’t believe you justsaid that. No, I would have I would have you’d have saved the child surely. No, but if it’s more likely to die andbut it’s not lived yet. You I’ you save the child. I don’t know what you’re talking about. What’s the No, no, but whose life has more value isincarcerable. Like you can’t car you What’s the difference between one person’s life and another?Well, the age really like a So a baby has more value than a mother of the baby of the child.In human terms? Yeah. In robot terms? No. Really? I think I think you can’tcompare like as in to compare them are is not for meyou something you can do. You can’t weigh lives up. Well, you have to if you’re makingself-driving cars and robots and all this sort of stuff like that that’s it’s the moral dilemma is the thing that’sthe problem. Well, for instance, if you’ve got five lives on the track and one life.Yeah. Does it matter which? So suppose you got one baby. Yeah. On the track and then five adultson the track. Like which one? So if you have a runaway trolley, would you runover those five adults or would you run her over the one baby? Would you like which one?Are you actually asking which one you run over? Jeez, what what a thing to put on a podcast. I don’t have a clue.Be the baby, wouldn’t it? Because you got five lives there. But they’ve got more chance of surviving than the baby.No, no. They’re Imagine they’re tired down. So, you’ve got What world have you built here?Yeah. Like you got Well, the baby could could be missed. Like, like you still II don’t think you can compare those lives. Like, they they mean the same thing. If you take a God’s eye view orwhatever, like there’s still human lives here, human lives here. There’s onehuman life here and five here. How can you weigh one up over the other? It’sless of when you got to think about the the sort of pain it’s going to cause the families or whatever that are left todeal with the pain. It’s not just you haven’t got timeto to know that to Oh, so you need to know about that those babies connections.What do you mean? It’s obviously got a mother and you know Well, suppose it’s an orphan. This is getting dark. So dark. So it’sit’s an orphan baby. It’s got no connections. Is it’s in it’s from an orphanage, right?Does that have less value? Does that life have less value than a child that has a mom and dad?No. Yeah. So, would you say five lives is morethan the depends? Depends how old the other five are. Their 30s.Yeah. All right. I don’t I don’t have an answer. I actually don’t know. But then that’s something you don’t know. You don’t know how long they’lllive. They could all die at 31. Yeah, but it’s unlikely. But do you seewhat I mean? Like these sorts of calculations a robot can do, but a humancan’t. Like a human has trouble wrestling with that. A robot has no problem. So actually a lot of thesemoral decisions in say wartime and stuff like that, a robot will make a more logical and pragmatic decision. It’s abit like to be a good prime minister or to be a good leader, world leader orsomething like that. You you it’s not it’s not necessarily about being themost moral. It’s about being correct, pragmatic.So being able to weigh things up in alogical way computer can do it much better than a person. But it depends on the logic of the see the logic of thesystem matters doesn’t it? It’s like those AIs and stuff like that. They’llhave a corpus of knowledge from all over the place and it depends what builds up that training dataand that’s the worry is well what would it actually think? What does it reallybelieve about a human life? Mhm. Um at some level obviously like youcould talk about consciousness but I think that’s a completely otherdevelop view of morality and and understanding of it. But if we to assumethat it has a sort of human understanding of a a human a human knowledge of thingsbut without the empathy and understanding then it would still make the right decisionfrom a human perspective is is a bit worrying though when it gets to like godlike and then it basicallydoesn’t you can’t imagine how it would view a human life.Yeah, there’s the worry, isn’t it? Yeah. No, I mean this is the AI safety thing.Yeah. paradox in um we if we create the systemum if it takes our values then are there flaws in our understanding that are preprogrammed in? And by the same token, if it creates its own morality,if it’s so creative, it’s able to like come up like if we create a new model umof the world and understanding, then you have the danger that it will representvalues that are not human at all. It’s like an alien intelligence.I think that’s the biggest that’s the biggest like risk, but I think it’s unlikely. I think it’s likely to havehuman understanding, human knowledge of thing, issues ofmorality and that kind of thing, but kind of but then we’re getting to a point where it can make leaps, you know,in thought process, it can make leaps. Yeah. Neural networks and all, you know, it canit can make a leap and jump to a conclusion which you couldn’t do before. Emergent properties as well. So, newabilities can arise and new understanding going to arise out of whatever’s been created.I feel like we’re not really answering this question, are we? What was the question? The question was,what should people be learning? Sure. So, you said nannies and and teachersand that sort of stuff, I think. Oh, what what what wouldn’t you trustthe robot? That was the original sort of idea. Well, no, the original question was which human which human preferredservices would you still get a human to do? Yeah. So, so the actual overarching question iswhat should we learn right now if that future is partly correct? It’s a values thing, isn’t it?So, do you think people should just go I don’t know how how long we have left, but do you think people should just dowhat they enjoy and be done with it? I I think if you enjoy being creative, go andpaint. Yeah, I think my answer to the previous question, let me just jump back. My answer to the human preferred services would be like nursery nannies,teachers, artists, designers, um, yeah, products developers like these sorts ofcreative things is what I would still give a human to do alongside client relationships and stuff like that. So,

Do what you enjoy; purpose and hobbies

that’s my answer. Now, in terms of the what we should learn right now, do you think people should just do what theyenjoy? I think the argument is greater than ever that you should do what you enjoywhile you still can. Yeah. No, exactly. Exactly. I I think I think the thing is is to have the energyas well to pursue something and and to reach the level that you wouldneed to to make a living for yourself. You need to on some level enjoy it. now.Well, I think it’s more the case that people should do what they enjoy ifpeople are going to end up having more free time than they actually wish to have cuz they’re going to have no purpose.Yeah. Because a lot of a lot of people’s purposes purpose is theirtheir work and their job. So, hobbies will take over and probablyeventually that will become quite valuable. people crafting handmade stuff like you’ve seen the rise in personalized personalizedgifts in Etsy and that sort of stuff. So, and like I said, I I I think more and more people arequitting their corporate jobs and starting a a business making doilies or,you know, like doing one-on-one coaching or designing stuff like I I design stufffor people on the side of of all this. people are coming back to their own sortof individual market stores and you’ve seen the rise of um again Steven Ballerhas invested like 2 million in a company called I cannot remember it’s a companywhere people um sort of have their own side businesstheir own business and they it’s it’s to do with that I can’t remember what it’s called

Entrepreneurship and side gigs

um it’s going to come back to me after I switch off the recording today but um you got the rise of all that and umyeah people but also is people are feeling all right so there’s been amassive rise in entrepreneurship this is what I mean and and it’s not it’s also being becausepeople are being forced to resort to it because they can’t get and well eithertheir wages are too low or cost of living so they’re being forced into asecondary a secondary thing or Um they I mean someof them could be seen opportunity in this. I do think this is a massive losers verse winners time. So thenif you’re able to take advantage I do think there’s a short window though. Yeah I do five years like tops.Well so my my my degree is in design.Mhm. Graphic design. I mean, I’ve done quite a few projects for um people with theirown sort of side business and stuff. And recently, there’s been more. There’s been people that want websites built fortheir their new side personal startup, not like massive tech,but like I want to make clothing for this person or I want to do photographyfor this person. Yeah. There’s been more of that. And that’s why I’ve started my own sort of sidething where I’m doing logos and designing and making websites for these people to help thembecause I can see there’s like a opportunity there. Might again might be brief, might be two years, might bethree years, but there is it’s there. I can see it happening. I think it’s it’s partially obviously like you got somepeople in the position to do that um who have money already but it’s also I thinka point of desperation. So then people people are also like I need to do something.Yeah. I need and desperation sort of creates that need to I need to be doingsomething. I don’t know what but like I I know that I’m interested in this. I’m just going to pair this together and then see what hits. So I’mYeah. But then I think we’re going away from we’re going away from that mode ofso like setting up a website and that sort of thing. And I know it’s a brief window. I I I think it as in we’ll just beflooded with loads of businesses that don’t make money. Umthey don’t have to make a lot. You see they they don’t have to make like you know 100,000 200 millions. they justhave to make enough for the person to live on. It’s an individual personalbrand. Basically, personal brands are going to become the new thing. I think that’s where things are going.

Personal brands and ad spend shift

And we’ve seen that with um so the shifts in uh where people where companies arespending their advertising dollars. So they they’re they’re pushing more of the like influencer thing. I mean thatthat’s the thing is is it’s those buckets have changed, haven’t we? Yeah. UmI don’t Yeah, I don’t think it’s and that I mean on the one hand that’s a good thingbecause it means that it’s no no longer a matter of how much you know.So for people who who aren’t I I’d say like maybe not themost academic or whatever this isn’t necessarily bad time. It’s uh possibly atime for opportunity for them because no, it doesn’t no one’s going to hold it against you too much for not having aparticular knowledge set. But it’s a problem for people who are say slightlymore academic because the value of their knowledge andskills will drop and will continue to drop which is why I think the whole creativeside of things will become more valuable. The the investment by the way was Stan Stan store.Oh yeah. Yeah. You know what a Stan is? No. A Stan is actually I think it’s part ofthe the dictionary now. No. Not not the name. So Stan is it comes from I think it comes from uh Idon’t know if this one particularly does but Stan comes from Eminem. Oh yeah. Like a like a a crazy fan.Oh, okay. A Stan is the name for a fan that’s really crazy. So having the investmentcalled be called a standtore it’s like everyone is their own influencer. Everyone has their own fans. I don’t know if that’s where thename came from but but I think I think it’s called stand. Even Bartley you can say in what he does and his activities. He’s he’s got thatto that point where he’s just like I’m just going to nail money everywhere. Invest in loads of these differentthings. He’s got that he’s got that that um that luxury. It’s like what I was what I’vebeen doing. He’s got that luxury to be able to throw money at stuff like what I’ve been doing because Ican’t see any I I find it quite hard to find opportunities in that are reallylongterm. So I I’ve been just investing in the companies thatare doing this are doing it. So I’ve been investing heavily in things like GoogleGoogle Nvidia and that sort of stuff. Yeah. Yeah. See like our mission to stand. We exist to help anyone work withthemselves. So like even like big players are seeing seeing this trend.

Key skills wrap; invest up the stack

So yeah to finish off key skills maybekey skills do what you enjoy. Lean into human to human things. Uh things thatyou think AIs and robots can’t replicate like creativity, child care, daycare,nannies and that sort of stuff. And if none of that makes any sense then just invest in the companies that are doingthat already. Also, I think just a general skill be adaptable becauseyeah, I mean that’s kind of it’s going to be quick. I want to say that’s a given. It’s not something we’ve touched on today that ina fast changing world, if something is changing, you’ve got to be able to adapt to that change. But as an overallsummary, I would say what I’ve just said, the childcare stuff, human to human, creativity, things you don’t think robots can or AI can replicate.Anything human to human and do what you enjoy.There’s also and or invest in the companies that are building the level above you. Always think the level above. Think about who’smaking the thing. Think about who’s making that, what chips and what thingsgo into that level of stuff. work your way up the chain and invest in those companies.Do you think there’s any opportunity? So suppose you you have you’re quite interested in computing and that kind of

Coding, AI startups and the bubble

thing. Yeah. Is is there opportunity for anyone like that? Do you thinkin terms of what in this new world like when you say interested in computing what do you mean?So so they’re they’re right into coding. they like building stuff andum no because we’ve got we’re we’re basically on tipping point wherewhat about the AIS can code for themselves even when I I don’t know how to code butwhen I but now when I need some additional CSS to create a website to make a button pop out or change color orwhatever else chat GBT gives me the I’ve got to prompt it two three times to get it correct put it in test it change it Idon’t know how to code fully but I get it off no but someone who’s like actually pretty pretty good withI think they’re fine for a few years but not for long. Yeah. Um because code is something you can justchuck into LLM and it can learn from it. But there is a lot of there is also alot of investment money being thrown into AI startups and that sort of thing. So there’s potentially an avenue ifyou’ve got an AI solution. Yeah. But do you know what I think it’s going to be? It’s basically just like a com bubble. just going toOh yeah. Like mo the second you put So the guy said back the second you put AI on your name, you get a two billion valuationalready. Like that’s that’s where we are. But most of them are not going to succeed. Yeah. Most of them aren’t doing anythingparticularly special. It’s like even you know uh Marus Zuckerberg.I’ve heard of him. Yeah. He he brought in he brought in that he basically theythey acquired it. So Meta acquired a company scale AI or something like that.Um and they brought in their workforce and stuff like that. Even their own business model doesn’t seem to make muchsense now cuz they they the and that was meant to be like revolutionary. So I think thethe pace of that change is something that people can’t really keep up with.No, no. It’s it’s compounding. It’s exponential. Like we said, it’s going to get quicker and quicker and quicker.

Final takeaways: adapt and enjoy

adaptable. We don’t really have a full answer, but that’s the answer I can adapt, enjoy things, andadapt and enjoy and do what you enjoy. Uh, think about what AI can’t do and try and do that.

Outro

So, thank you for joining us on our first episode of the new season. If youare watching us on YouTube, don’t forget to like, subscribe, leave a comment down below to give us your thoughts. If youare listening to us or watching us now on Apple or Spotify, don’t forget to give us a rating and a follow and we’llsee you back again next month.The Education Lounge podcast. [Music]