WEBVTT 00:00:22.394 --> 00:00:23.897 Hello Habit Mechanics. 00:00:23.897 --> 00:00:25.060 It's Dr John Finn here. 00:00:25.060 --> 00:00:26.544 Hope you're having a great week so far. 00:00:26.544 --> 00:00:33.329 Today I want to talk about the Industrial Revolution and what we can learn from the Industrial Revolution. 00:00:34.533 --> 00:00:56.283 As we get deeper into the AI Revolution, there is, as you might expect, some, I suppose, what I would call AI denial narratives saying that this technology is not all that good and it won't make the changes that people are predicting. 00:00:56.283 --> 00:01:04.036 Looking at the tech, looking at the impact it has when people use it, well, I just cannot agree with those narratives. 00:01:04.036 --> 00:01:05.661 They don't make any sense. 00:01:05.661 --> 00:01:16.127 When you look at this from a first principle perspective, what we have for the first time ever is a is competition to human brain power. 00:01:16.127 --> 00:01:18.150 We've never had that before. 00:01:18.150 --> 00:01:36.139 We have a technology that's designed to work like our brains, to run on neural networks, and therefore it can do things that up until months, sometimes weeks ago, depending on what tech you're using only human brains could do, and it's getting smarter and cleverer every day. 00:01:36.139 --> 00:01:48.343 It doesn't have a limited um power capacity like our brains, in the sense of our brains need to shut down every sort of 24-hour cycle, if you like. 00:01:48.343 --> 00:01:54.210 You need to get that good seven, eight, nine, sometimes 10 hours or more sleep to really recharge the brain battery. 00:01:54.210 --> 00:01:59.281 The AI neural networks can be running 24 7. 00:01:59.281 --> 00:02:04.171 So the tech is real and it is going to make a massive impact. 00:02:04.171 --> 00:02:05.437 I've just no doubt about that. 00:02:06.449 --> 00:02:32.927 And last week I was spending some time in London and I popped into the National Portrait Gallery and I was looking actually at the section in the Portrait Gallery which shows the scientists, the industrialists, the industrialists, the inventors that essentially drove the industrial revolution in England and Scotland and Great Britain. 00:02:32.927 --> 00:02:51.038 And there's some striking parallels between what happened in the industrial revolution and what is happening now. 00:02:51.038 --> 00:03:03.103 The difference is it's happening now at a speed that I don't think anyone was even predicting six months ago, but the industrial revolution probably happened over um a hundred year period. 00:03:03.103 --> 00:03:14.114 If you sort of look at the the rise of the technology, I'm sure someone will disagree with that, but for me that's broadly how it looks, how it seems to be also growing up in a. 00:03:14.114 --> 00:03:32.257 I grew up in a industrial revolution town and I kind of I've kind of seen the history of my own town over the period of time, how it changed, but not with my own eyes, but learning about the history of the place. 00:03:32.257 --> 00:03:36.510 But then if we look at the AI revolution. 00:03:36.510 --> 00:03:47.831 It's going to happen maybe over a period of two, three, four, five years, and some of the things they were predicting would happen in five years time have already happened. 00:03:47.831 --> 00:04:01.043 So there were some predictions about at the start of the month, of start of the year 2025, that the things that might be happening in five years, they're already happening. 00:04:01.043 --> 00:04:02.972 That's how quickly this is going. 00:04:03.955 --> 00:04:08.812 But there's a couple of things that I thought were really interesting. 00:04:08.812 --> 00:04:32.048 Um, and maybe I won't mention them all in this pod, but there were some economic observations I was reading about from Adam Smith about why the Industrial Revolution would work from an efficiency perspective, and you can certainly extrapolate those insights directly into what we're seeing with agentic AI. 00:04:32.048 --> 00:05:35.263 There was, I think, something that I found really interesting and I'm going to start to cross over to the US now because I've also been consuming some things around around the US industrial revolution is that there was a if you're in the UK, you know Sheffield is the steel city and there was a famous Sheffield inventor called Henry Bessemer, and Henry Bessemer worked out how to cure steel if that's the right phrase to basically make steel faster, and he was employed then by Carnegie right in Pittsburgh to apologies if I'm getting my geography wrong here. 00:05:35.263 --> 00:05:40.137 I think it was Pittsburgh to make. 00:05:40.137 --> 00:06:04.848 Help him to make steel railway lines faster, and basically Bessemer's technology that he created could make a steel railway line that normally took a team of men four days to make. 00:06:04.848 --> 00:06:08.524 His system could make it in 15 minutes. 00:06:08.524 --> 00:06:30.115 15 minutes that's exactly what we're seeing now, but we're seeing it for cognitive performance and the difference is when you can start making railway lines so quickly, you're going to create more jobs because now railway technologies are scalable and they're more affordable. 00:06:30.115 --> 00:06:33.769 So we're going to need more people laying the railway lines. 00:06:33.769 --> 00:06:38.321 We're going to need more people creating trains. 00:06:38.321 --> 00:06:43.475 There'll be more passengers on the trains right, and commerce increases all this kind of stuff. 00:06:43.475 --> 00:06:47.439 So the industrial revolution was a job generator. 00:06:48.480 --> 00:06:50.624 The same is not true with AI. 00:06:50.624 --> 00:07:17.499 It will create some different jobs, but those jobs will be replacing or those jobs will not replace the number of jobs that AI replaces, if that makes sense and we're already seeing this, and this morning I read just an article on a technology website just timelining job losses in the tech sector in the states, and I think there's about 100 000 so far this year. 00:07:17.499 --> 00:07:34.420 Tech jobs have gone um in relation to ai, but it was showing what businesses were doing with those savings, because the difference with these job losses are is that the businesses that are shedding people are not under financial pressure. 00:07:34.420 --> 00:07:40.189 Businesses only normally lose people when they're not performing financially well. 00:07:40.189 --> 00:08:05.125 The businesses that are shedding workers have some of the strongest financial performance on the planet, and what this article is showing is is, yes, some people have been replaced because AI can automate their jobs, fully automate their jobs, so all the tasks they were previously paid to do, ai can now automate them. 00:08:05.125 --> 00:08:27.822 But they've also and that creates a big saving when you replace human roles with AI and what they're doing is they're reinvesting that saving into an AI workforce, if you like to put it in very simple language, which massively undersells what those people are doing. 00:08:27.822 --> 00:08:35.395 But there is this shift going on and it's not always very clear to see, because not every business is publicizing what they're doing. 00:08:36.538 --> 00:08:52.798 Um, but yeah, if you're interested in the ai revolution, how it's going to unfold, why it's happening, I think you know history is our greatest teacher and the industrial revolution is so well documented. 00:08:52.798 --> 00:08:55.385 I'd encourage you to revisit elements of that. 00:08:55.385 --> 00:09:07.388 There are some great figures who played major parts in that revolution. 00:09:07.388 --> 00:09:11.323 So there's lots of interesting things to get into. 00:09:11.323 --> 00:09:17.387 But again, we're not here to kind of scare anybody. 00:09:17.387 --> 00:09:19.221 We just want to help people to do better. 00:09:19.221 --> 00:09:25.263 And the first step to helping people to do better is we need to realize that this is not fake news. 00:09:25.263 --> 00:09:25.745 It's real. 00:09:25.745 --> 00:09:27.540 It's not the millennium bug. 00:09:27.540 --> 00:09:31.444 It's going to radically change how we work and how we live. 00:09:31.444 --> 00:09:41.205 But if we learn how to optimize our brain states, then we will become AI winners and we'll be able to help others do the same. 00:09:41.205 --> 00:09:46.738 And that's why we always say you're only ever one brain state away. 00:09:46.738 --> 00:09:54.763 Or, let me say that again, that's why we always say you're only ever one brain state. 00:09:54.763 --> 00:09:57.978 Habit that's the word I was missing habit away.