1 00:00:02,464 --> 00:00:03,967 Speaker 1: Hello Habit Mechanics . 2 00:00:03,967 --> 00:00:05,131 It's Dr John Finn here. 3 00:00:05,131 --> 00:00:06,613 Hope you're having a great week so far. 4 00:00:06,613 --> 00:00:11,714 Today I want to talk about the Industrial Revolution and what 5 00:00:11,733 --> 00:00:13,400 we can learn from the Industrial Revolution. 6 00:00:14,602 --> 00:00:22,103 As we get deeper into the AI Revolution, there is, as you 7 00:00:22,164 --> 00:00:28,513 might expect, some, I suppose, what I would call AI denial 8 00:00:28,774 --> 00:00:32,826 narratives saying that this technology is not all that good 9 00:00:32,866 --> 00:00:36,353 and it won't make the changes that people are predicting. 10 00:00:36,353 --> 00:00:40,689 Looking at the tech, looking at the impact it has when people 11 00:00:40,829 --> 00:00:44,106 use it, well, I just cannot agree with those narratives. 12 00:00:44,106 --> 00:00:45,731 They don't make any sense. 13 00:00:45,731 --> 00:00:48,500 When you look at this from a first principle perspective, 14 00:00:50,765 --> 00:00:55,255 what we have for the first time ever is a is competition to 15 00:00:55,295 --> 00:00:56,197 human brain power. 16 00:00:56,197 --> 00:00:58,220 We've never had that before. 17 00:00:58,220 --> 00:01:02,107 We have a technology that's designed to work like our brains 18 00:01:02,107 --> 00:01:06,623 , to run on neural networks, and therefore it can do things that 19 00:01:06,623 --> 00:01:10,637 up until months, sometimes weeks ago, depending on what 20 00:01:10,656 --> 00:01:13,944 tech you're using only human brains could do, and it's 21 00:01:13,965 --> 00:01:16,209 getting smarter and cleverer every day. 22 00:01:16,209 --> 00:01:22,445 It doesn't have a limited um power capacity like our brains, 23 00:01:22,506 --> 00:01:27,091 in the sense of our brains need to shut down every sort of 24 00:01:27,111 --> 00:01:28,414 24-hour cycle, if you like. 25 00:01:28,414 --> 00:01:31,709 You need to get that good seven , eight, nine, sometimes 10 26 00:01:31,769 --> 00:01:34,280 hours or more sleep to really recharge the brain battery. 27 00:01:34,280 --> 00:01:39,350 The AI neural networks can be running 24 7. 28 00:01:39,350 --> 00:01:44,242 So the tech is real and it is going to make a massive impact. 29 00:01:44,242 --> 00:01:45,507 I've just no doubt about that. 30 00:01:46,519 --> 00:01:49,971 And last week I was spending some time in London and I popped 31 00:01:49,971 --> 00:01:55,042 into the National Portrait Gallery and I was looking 32 00:01:55,102 --> 00:01:57,483 actually at the section in the Portrait Gallery which shows the 33 00:01:57,483 --> 00:02:04,810 scientists, the industrialists, the industrialists, the 34 00:02:04,870 --> 00:02:10,074 inventors that essentially drove the industrial revolution in 35 00:02:10,274 --> 00:02:12,997 England and Scotland and Great Britain. 36 00:02:12,997 --> 00:02:29,305 And there's some striking parallels between what happened 37 00:02:29,324 --> 00:02:31,108 in the industrial revolution and what is happening now. 38 00:02:31,108 --> 00:02:32,270 The difference is it's happening now at a speed that I 39 00:02:32,310 --> 00:02:36,163 don't think anyone was even predicting six months ago, but 40 00:02:36,183 --> 00:02:41,848 the industrial revolution probably happened over um a 41 00:02:41,908 --> 00:02:43,173 hundred year period. 42 00:02:43,173 --> 00:02:47,304 If you sort of look at the the rise of the technology, I'm sure 43 00:02:47,304 --> 00:02:50,230 someone will disagree with that , but for me that's broadly how 44 00:02:50,270 --> 00:02:54,183 it looks, how it seems to be also growing up in a. 45 00:02:54,183 --> 00:03:03,854 I grew up in a industrial revolution town and I kind of 46 00:03:03,895 --> 00:03:06,984 I've kind of seen the history of my own town over the period of 47 00:03:07,003 --> 00:03:11,362 time, how it changed, but not with my own eyes, but learning 48 00:03:11,383 --> 00:03:12,326 about the history of the place. 49 00:03:12,326 --> 00:03:16,580 But then if we look at the AI revolution. 50 00:03:16,580 --> 00:03:19,828 It's going to happen maybe over a period of two, three, four, 51 00:03:21,191 --> 00:03:25,824 five years, and some of the things they were predicting 52 00:03:25,846 --> 00:03:27,901 would happen in five years time have already happened. 53 00:03:27,901 --> 00:03:32,472 So there were some predictions about at the start of the month, 54 00:03:32,472 --> 00:03:38,990 of start of the year 2025, that the things that might be 55 00:03:39,009 --> 00:03:41,112 happening in five years, they're already happening. 56 00:03:41,112 --> 00:03:43,042 That's how quickly this is going. 57 00:03:44,025 --> 00:03:47,681 But there's a couple of things that I thought were really 58 00:03:48,320 --> 00:03:48,882 interesting. 59 00:03:48,882 --> 00:03:54,168 Um, and maybe I won't mention them all in this pod, but there 60 00:03:54,187 --> 00:03:58,097 were some economic observations I was reading about from Adam 61 00:03:58,137 --> 00:04:04,921 Smith about why the Industrial Revolution would work from an 62 00:04:04,962 --> 00:04:09,532 efficiency perspective, and you can certainly extrapolate those 63 00:04:09,592 --> 00:04:12,118 insights directly into what we're seeing with agentic AI. 64 00:04:12,118 --> 00:04:20,305 There was, I think, something that I found really interesting 65 00:04:22,971 --> 00:04:26,095 and I'm going to start to cross over to the US now because I've 66 00:04:26,136 --> 00:04:32,343 also been consuming some things around around the US industrial 67 00:04:32,382 --> 00:04:41,776 revolution is that there was a if you're in the UK, you know 68 00:04:41,815 --> 00:04:49,293 Sheffield is the steel city and there was a famous Sheffield 69 00:04:49,334 --> 00:04:56,672 inventor called Henry Bessemer, and Henry Bessemer worked out 70 00:04:56,713 --> 00:05:02,872 how to cure steel if that's the right phrase to basically make 71 00:05:02,911 --> 00:05:08,519 steel faster, and he was employed then by Carnegie right 72 00:05:09,985 --> 00:05:15,132 in Pittsburgh to apologies if I'm getting my geography wrong 73 00:05:15,173 --> 00:05:15,333 here. 74 00:05:15,333 --> 00:05:20,206 I think it was Pittsburgh to make. 75 00:05:20,206 --> 00:05:27,646 Help him to make steel railway lines faster, and basically 76 00:05:28,288 --> 00:05:37,074 Bessemer's technology that he created could make a steel 77 00:05:37,276 --> 00:05:44,918 railway line that normally took a team of men four days to make. 78 00:05:44,918 --> 00:05:48,593 His system could make it in 15 minutes. 79 00:05:48,593 --> 00:05:54,891 15 minutes that's exactly what we're seeing now, but we're 80 00:05:54,911 --> 00:05:57,809 seeing it for cognitive performance and the difference 81 00:05:58,009 --> 00:06:03,663 is when you can start making railway lines so quickly, you're 82 00:06:03,663 --> 00:06:08,259 going to create more jobs because now railway technologies 83 00:06:08,259 --> 00:06:10,185 are scalable and they're more affordable. 84 00:06:10,185 --> 00:06:13,838 So we're going to need more people laying the railway lines. 85 00:06:13,838 --> 00:06:18,391 We're going to need more people creating trains. 86 00:06:18,391 --> 00:06:22,177 There'll be more passengers on the trains right, and commerce 87 00:06:22,218 --> 00:06:23,545 increases all this kind of stuff . 88 00:06:23,545 --> 00:06:27,509 So the industrial revolution was a job generator. 89 00:06:28,550 --> 00:06:30,694 The same is not true with AI. 90 00:06:30,694 --> 00:06:36,120 It will create some different jobs, but those jobs will be 91 00:06:36,160 --> 00:06:41,576 replacing or those jobs will not replace the number of jobs that 92 00:06:41,576 --> 00:06:45,326 AI replaces, if that makes sense and we're already seeing 93 00:06:45,346 --> 00:06:49,940 this, and this morning I read just an article on a technology 94 00:06:50,000 --> 00:06:53,932 website just timelining job losses in the tech sector in the 95 00:06:53,932 --> 00:06:57,569 states, and I think there's about 100 000 so far this year. 96 00:06:57,569 --> 00:07:02,880 Tech jobs have gone um in relation to ai, but it was 97 00:07:02,901 --> 00:07:07,632 showing what businesses were doing with those savings, 98 00:07:07,672 --> 00:07:11,766 because the difference with these job losses are is that the 99 00:07:11,766 --> 00:07:14,110 businesses that are shedding people are not under financial 100 00:07:14,149 --> 00:07:14,490 pressure. 101 00:07:14,490 --> 00:07:18,757 Businesses only normally lose people when they're not 102 00:07:18,997 --> 00:07:20,259 performing financially well. 103 00:07:20,259 --> 00:07:25,535 The businesses that are shedding workers have some of 104 00:07:25,574 --> 00:07:30,327 the strongest financial performance on the planet, and 105 00:07:30,449 --> 00:07:37,437 what this article is showing is is, yes, some people have been 106 00:07:37,456 --> 00:07:40,800 replaced because AI can automate their jobs, fully automate 107 00:07:40,821 --> 00:07:43,831 their jobs, so all the tasks they were previously paid to do, 108 00:07:43,831 --> 00:07:45,194 ai can now automate them. 109 00:07:45,194 --> 00:07:50,610 But they've also and that creates a big saving when you 110 00:07:51,151 --> 00:07:56,740 replace human roles with AI and what they're doing is they're 111 00:07:56,779 --> 00:08:02,935 reinvesting that saving into an AI workforce, if you like to put 112 00:08:02,935 --> 00:08:07,170 it in very simple language, which massively undersells what 113 00:08:07,190 --> 00:08:07,891 those people are doing. 114 00:08:07,891 --> 00:08:12,451 But there is this shift going on and it's not always very 115 00:08:12,490 --> 00:08:14,997 clear to see, because not every business is publicizing what 116 00:08:15,045 --> 00:08:15,466 they're doing. 117 00:08:16,608 --> 00:08:20,319 Um, but yeah, if you're interested in the ai revolution, 118 00:08:20,319 --> 00:08:26,533 how it's going to unfold, why it's happening, I think you know 119 00:08:26,533 --> 00:08:31,524 history is our greatest teacher and the industrial revolution 120 00:08:31,644 --> 00:08:32,869 is so well documented. 121 00:08:32,869 --> 00:08:35,456 I'd encourage you to revisit elements of that. 122 00:08:35,456 --> 00:08:45,053 There are some great figures who played major parts in that 123 00:08:46,898 --> 00:08:47,458 revolution. 124 00:08:47,458 --> 00:08:51,394 So there's lots of interesting things to get into. 125 00:08:51,394 --> 00:08:57,457 But again, we're not here to kind of scare anybody. 126 00:08:57,457 --> 00:08:59,292 We just want to help people to do better. 127 00:08:59,292 --> 00:09:02,706 And the first step to helping people to do better is we need 128 00:09:02,745 --> 00:09:05,333 to realize that this is not fake news. 129 00:09:05,333 --> 00:09:05,816 It's real. 130 00:09:05,816 --> 00:09:07,610 It's not the millennium bug. 131 00:09:07,610 --> 00:09:11,514 It's going to radically change how we work and how we live. 132 00:09:11,514 --> 00:09:17,240 But if we learn how to optimize our brain states, then we will 133 00:09:17,260 --> 00:09:21,275 become AI winners and we'll be able to help others do the same. 134 00:09:21,275 --> 00:09:26,187 And that's why we always say you're only ever one brain state 135 00:09:26,187 --> 00:09:26,808 away. 136 00:09:26,808 --> 00:09:32,698 Or, let me say that again, that's why we always say you're 137 00:09:32,739 --> 00:09:34,833 only ever one brain state. 138 00:09:34,833 --> 00:09:38,048 Habit that's the word I was missing habit away.