1 00:00:21,812 --> 00:00:25,740 Speaker 1: Hello Habit Mechanics , dr John Finn here, I hope 2 00:00:25,760 --> 00:00:27,763 you're well Just doing a walking pod. 3 00:00:27,763 --> 00:00:32,197 I want to talk about brain states, brain state intelligence 4 00:00:32,197 --> 00:00:32,197 . 5 00:00:32,197 --> 00:00:37,233 Brain state intelligence is the key to unlocking the 6 00:00:37,292 --> 00:00:43,060 opportunities that are presented to all of us in the AI 7 00:00:43,299 --> 00:00:48,765 revolution which I think the data now shows we are in. 8 00:00:48,765 --> 00:00:55,555 There's a lot of talk about changes that would be coming 9 00:00:55,576 --> 00:01:05,326 down the line to how businesses, to what humans are valued for, 10 00:01:08,289 --> 00:01:13,070 where they can add value, where they can earn money, and now 11 00:01:13,110 --> 00:01:15,659 we're starting to see changes. 12 00:01:15,659 --> 00:01:21,611 So one of the big news stories the last week or so is that IBM 13 00:01:22,753 --> 00:01:31,669 laid off 8,000 HR staff and in their discussions about this, 14 00:01:31,709 --> 00:01:35,293 it's because they're going to replace lots of what those 15 00:01:35,312 --> 00:01:37,895 people did with AI. 16 00:01:39,256 --> 00:01:50,347 Remember, ai is technology that can complete complex cognitive 17 00:01:50,426 --> 00:01:56,042 tasks on a continuum through to very complex cognitive tasks. 18 00:01:56,042 --> 00:01:58,597 This is the first time in history we've had this 19 00:01:58,657 --> 00:01:59,199 technology. 20 00:01:59,199 --> 00:02:04,770 The Industrial Revolution automated complex manual labour. 21 00:02:04,770 --> 00:02:13,538 The Industrial Revolution automated complex manual labour 22 00:02:13,617 --> 00:02:14,938 and there was multiple iterations of that. 23 00:02:14,938 --> 00:02:19,582 We're still advancing what machinery can do, but it was the 24 00:02:19,582 --> 00:02:20,063 first time. 25 00:02:20,063 --> 00:02:25,693 The Industrial Revolution as we understand it was the first 26 00:02:25,712 --> 00:02:31,131 time that we could automate manual labour at scale, and now 27 00:02:31,171 --> 00:02:34,998 the AI Revolution is the first time we can automate complex 28 00:02:35,058 --> 00:02:36,802 cognitive tasks at scale. 29 00:02:36,802 --> 00:02:47,250 So I've seen workforce disruption disruption. 30 00:02:47,270 --> 00:02:48,653 So I wanted to revisit brain state intelligence, because this 31 00:02:48,653 --> 00:02:50,437 is the thing that we need to understand if we want to get our 32 00:02:50,437 --> 00:02:51,118 head around. 33 00:02:51,118 --> 00:02:58,776 Well, what, what is it that ai can do faster and more cheaply 34 00:02:58,996 --> 00:02:59,697 than I can do? 35 00:02:59,697 --> 00:03:02,661 Because if I understand that, I don't have to worry about it 36 00:03:02,781 --> 00:03:07,725 replacing me, I can actually use it to supercharge me. 37 00:03:07,725 --> 00:03:15,689 So, to think about this, we have our brain battery metaphor. 38 00:03:15,689 --> 00:03:18,050 But I mean our brain literally is like a battery. 39 00:03:18,050 --> 00:03:22,203 It runs on chemicals and electricity and it operates in 40 00:03:22,242 --> 00:03:23,170 three charge states. 41 00:03:23,170 --> 00:03:29,020 It has the recharge state where we are sleeping, and also we 42 00:03:29,060 --> 00:03:32,849 have non-sleep recharge, where we're recharging the battery, 43 00:03:34,475 --> 00:03:38,009 and this is think of your brain batteries operating in a 24-hour 44 00:03:38,009 --> 00:03:41,736 cycle, so every 24 hours it needs to recharge. 45 00:03:42,919 --> 00:03:44,782 The second brain state is medium charge. 46 00:03:44,782 --> 00:03:54,044 This is where we do complete, simple, simple cognitive tasks. 47 00:03:54,044 --> 00:03:59,417 Simple for what? 48 00:03:59,417 --> 00:04:01,661 In relation to what our brain is capable of. 49 00:04:01,661 --> 00:04:11,968 So it's very it's doing things that we've already learned how 50 00:04:11,989 --> 00:04:12,210 to do. 51 00:04:12,210 --> 00:04:13,830 By and large, it's habit-type thinking. 52 00:04:13,830 --> 00:04:20,695 It's that kind of busy work people describe that's become 53 00:04:20,735 --> 00:04:23,396 addictive actually, and I think COVID has something to do with 54 00:04:23,416 --> 00:04:26,375 that sort of work where you always feel like you're busy but 55 00:04:26,375 --> 00:04:27,541 you never get anything done. 56 00:04:27,541 --> 00:04:29,570 You never feel like you're making progress. 57 00:04:29,570 --> 00:04:32,415 That's a medium charge brain state. 58 00:04:32,415 --> 00:04:40,091 And the third brain state is the high charge brain state. 59 00:04:40,091 --> 00:04:42,757 This is the brain state we used to do our mentally complex work 60 00:04:42,757 --> 00:04:45,242 , to really think cleverly. 61 00:04:45,242 --> 00:04:47,155 It's effortful. 62 00:04:47,155 --> 00:04:52,180 Our ability to do high-charge thinking is a limited cognitive 63 00:04:52,220 --> 00:04:52,581 resource. 64 00:04:52,581 --> 00:04:54,336 We only can do so much of it each day. 65 00:04:54,336 --> 00:05:00,831 So where AI is coming in is it's very clearly able to do 66 00:05:02,033 --> 00:05:11,144 medium charge work in many, many tasks much faster and much more 67 00:05:11,144 --> 00:05:12,331 cheaper than humans can. 68 00:05:14,174 --> 00:05:20,043 So just interestingly, yesterday so you know, anyone who runs 69 00:05:20,062 --> 00:05:22,473 their own business will tell you it's difficult to run your own 70 00:05:22,514 --> 00:05:25,581 business right, it's also very rewarding, but it's difficult. 71 00:05:25,581 --> 00:05:28,069 So yesterday I was working at the weekend. 72 00:05:28,069 --> 00:05:30,257 I worked all weekend actually, because I've got a lot of things 73 00:05:30,257 --> 00:05:30,980 to do at the moment. 74 00:05:30,980 --> 00:05:33,833 Um, there's no violin coming out here. 75 00:05:33,833 --> 00:05:37,646 I enjoy what I do, but I was using some software that's 76 00:05:37,706 --> 00:05:42,175 pretty complicated, um, and we've used this software on and 77 00:05:42,216 --> 00:05:46,302 off for a few years, but we decided to start to use it more 78 00:05:46,322 --> 00:05:49,396 consistently now and what I was amazed by. 79 00:05:49,990 --> 00:05:52,894 So previously, when you got stuck, you had to reach out to 80 00:05:52,915 --> 00:05:55,896 their support and say, look, I'm stuck with this, how do I do 81 00:05:55,917 --> 00:05:56,819 this, how do I do that? 82 00:05:56,819 --> 00:06:05,521 Now they have, and they've had a sort of a support bot, if you 83 00:06:05,542 --> 00:06:07,593 like, for a while where you can just ask it questions, but it 84 00:06:08,276 --> 00:06:12,617 typically wasn't very good, but now, just using it this weekend 85 00:06:13,579 --> 00:06:15,083 and last week, it's amazing. 86 00:06:15,083 --> 00:06:18,819 I mean, it just knows every answer to every question you've 87 00:06:18,860 --> 00:06:19,040 got. 88 00:06:19,040 --> 00:06:21,675 So instead of getting frustrated, you can literally 89 00:06:21,735 --> 00:06:25,435 solve your issues in minutes rather than having to wait for a 90 00:06:25,435 --> 00:06:26,278 support email. 91 00:06:26,278 --> 00:06:31,701 So see how that bot is able to replace a human doing the same 92 00:06:31,742 --> 00:06:36,540 job, and it can probably replace teams of humans, as we've seen 93 00:06:36,620 --> 00:06:41,673 actually in multiple cases across industries where many 94 00:06:41,733 --> 00:06:48,750 humans have been replaced by that type of technology, and, 95 00:06:48,771 --> 00:06:51,400 broadly speaking, we call that technology agentic AI. 96 00:06:51,400 --> 00:06:55,701 So agentic AI, in other words, ai agents. 97 00:06:55,701 --> 00:06:59,920 They're able to do medium-charge work cheaper and 98 00:06:59,959 --> 00:07:02,971 faster than humans, and that's coming online now and that's the 99 00:07:02,971 --> 00:07:04,177 biggest disruptor we're seeing. 100 00:07:04,209 --> 00:07:06,751 So when you're seeing people losing their jobs, it's because 101 00:07:06,771 --> 00:07:09,920 they're being replaced by agents . 102 00:07:09,920 --> 00:07:10,682 So what does that tell you? 103 00:07:10,682 --> 00:07:13,687 It tells you that businesses are less prepared than ever 104 00:07:13,728 --> 00:07:20,074 before to pay human beings to do medium-charge work Because they 105 00:07:20,074 --> 00:07:21,860 can get the work done faster and cheaper. 106 00:07:21,860 --> 00:07:25,415 And you know, we've seen iterations of this with 107 00:07:25,475 --> 00:07:31,376 outsourcing or offshoring over the years, whether it was call 108 00:07:31,396 --> 00:07:36,230 centres, or my grandfather's generation, who were engineers 109 00:07:36,430 --> 00:07:44,665 building basically industrial machines in the areas of the 110 00:07:44,706 --> 00:07:46,769 world that I am from, where the industrial revolution started, 111 00:07:47,651 --> 00:07:48,915 their jobs got outsourced. 112 00:07:48,915 --> 00:07:52,643 I remember my grandfather going over to India, I think, to 113 00:07:52,682 --> 00:07:57,237 train people to do his job essentially, but so we've seen 114 00:07:57,259 --> 00:08:01,716 this offshoring before to save costs, but now we are offloading 115 00:08:01,716 --> 00:08:02,497 this onto AI. 116 00:08:02,497 --> 00:08:06,290 So that's why people are losing their jobs, because businesses 117 00:08:06,389 --> 00:08:10,319 are not going to pay humans to do medium charge work, and this 118 00:08:10,379 --> 00:08:13,490 is also why we are seeing such a drop off on graduate 119 00:08:13,511 --> 00:08:14,031 recruitment. 120 00:08:14,031 --> 00:08:20,057 So we've seen the decline of the advertisement of graduate 121 00:08:20,098 --> 00:08:26,105 roles from 2019 to now, declined by 67 percent. 122 00:08:26,105 --> 00:08:31,973 So businesses are less, are increasingly less, interested 123 00:08:32,014 --> 00:08:35,385 whether you have a degree or not , and we've seen some 124 00:08:35,425 --> 00:08:39,254 acceleration of those numbers in recent 12 months or so, 125 00:08:39,794 --> 00:08:41,497 depending on where you are in the world. 126 00:08:41,497 --> 00:08:46,792 And it's because, again, what most graduates do fairly 127 00:08:47,254 --> 00:08:50,816 medium-charge work, and so what businesses are doing is they're 128 00:08:50,836 --> 00:08:52,853 replacing instead of recruiting graduates. 129 00:08:52,853 --> 00:08:54,599 They're investing in AI systems . 130 00:08:56,572 --> 00:08:57,475 So what does this mean? 131 00:08:57,475 --> 00:09:01,976 It means that we're only going to be really valuable If we can 132 00:09:02,017 --> 00:09:04,245 consistently get into our high-charge brain states. 133 00:09:04,245 --> 00:09:13,226 So that is the key, and we can also use AI to help us in our 134 00:09:13,266 --> 00:09:14,428 high-charge brain states. 135 00:09:14,428 --> 00:09:16,500 So what we've seen. 136 00:09:16,500 --> 00:09:19,875 So when people are really nailing it, they're getting a 137 00:09:19,955 --> 00:09:24,935 really good balance between their recharge, their 138 00:09:24,955 --> 00:09:26,944 medium-charge and their high charge brain states. 139 00:09:26,944 --> 00:09:34,104 We see that people, before we had this sophisticated AI, they 140 00:09:34,125 --> 00:09:36,335 could maybe do four to five hours of high charge, high 141 00:09:36,375 --> 00:09:39,463 impact work per day and they were really nailing it. 142 00:09:39,463 --> 00:09:44,957 What we're now seeing, and those people would have been 143 00:09:44,978 --> 00:09:45,680 what we called habit mechanics. 144 00:09:45,680 --> 00:09:47,668 What we're now seeing and those people would have been what we 145 00:09:47,707 --> 00:09:48,671 called habit mechanics. 146 00:09:48,671 --> 00:09:52,644 What we're now seeing is, when you give those habit mechanics 147 00:09:52,703 --> 00:10:00,207 an AI edge, they're able to do seven plus hours of high charge, 148 00:10:00,207 --> 00:10:06,100 high impact work and thinking per day Because they're 149 00:10:06,140 --> 00:10:08,654 optimizing their brain states, their brain state intelligent 150 00:10:09,456 --> 00:10:21,704 and then they're also using um agentic ai to co-work with on 151 00:10:21,724 --> 00:10:23,927 their high charge complex thinking tasks. 152 00:10:25,889 --> 00:10:33,529 So this is what we mean by brain state intelligence. 153 00:10:33,529 --> 00:10:35,875 It's understanding our three brain states recharge, medium 154 00:10:35,894 --> 00:10:37,416 charge and high high charge. 155 00:10:37,416 --> 00:10:43,061 Recognizing that ai is gonna and all it is now is disrupting, 156 00:10:43,061 --> 00:10:50,989 is going to and it is now is disrupting businesses, paying 157 00:10:51,189 --> 00:10:52,770 humans to do medium-charge work. 158 00:10:52,770 --> 00:11:01,226 So every day, more and more businesses are deciding they're 159 00:11:01,247 --> 00:11:03,054 not going to be paying humans to do medium-charge work. 160 00:11:03,054 --> 00:11:08,616 So if we want to be irreplaceable, then we need to 161 00:11:08,796 --> 00:11:10,940 be consistently able to get into those high charge brain states 162 00:11:10,960 --> 00:11:13,365 and do the kind of work that ai can't do by itself. 163 00:11:13,365 --> 00:11:16,395 And this is why I wrote train your brain for the air 164 00:11:16,415 --> 00:11:21,366 revolution and, excitingly, we're just releasing train your 165 00:11:21,386 --> 00:11:23,036 brain for the air evolution mini course. 166 00:11:23,036 --> 00:11:30,138 So in in under, in under 60 minutes, you learn how to build 167 00:11:30,158 --> 00:11:33,411 your own high-performing human AI team, because that's what 168 00:11:33,452 --> 00:11:34,014 this is about. 169 00:11:35,918 --> 00:11:37,701 It's the simplest way we can explain this. 170 00:11:37,701 --> 00:11:41,536 It's that actually the future is if you want to be healthy, 171 00:11:41,596 --> 00:11:43,668 happy and at our best and, by the way, if you're doing more 172 00:11:43,708 --> 00:11:46,574 high charge work every day, you'll be happier and healthier 173 00:11:47,337 --> 00:11:49,043 because you'll feel like you're making progress. 174 00:11:49,043 --> 00:11:53,759 I know I've been working I've not had a day off for a while 175 00:11:53,779 --> 00:11:58,160 because I'm just so, so busy but I feel really good because I'm 176 00:11:58,200 --> 00:12:00,005 doing work that's really interesting to me. 177 00:12:00,005 --> 00:12:04,500 I'm learning lots of new things because I'm able to get into 178 00:12:04,520 --> 00:12:06,285 those high charge brain states every day. 179 00:12:06,285 --> 00:12:08,381 I'm not recommending everybody does this, by the way, I'm just 180 00:12:08,823 --> 00:12:12,375 giving a genuine insight into where things are for me at the 181 00:12:12,415 --> 00:12:17,707 moment, but the high charge brain state is the most 182 00:12:17,727 --> 00:12:22,341 rewarding brain state and it's often the biggest thing that's 183 00:12:22,401 --> 00:12:22,822 missing. 184 00:12:22,822 --> 00:12:28,473 When people are not happy, when they are overwhelmed, um when, 185 00:12:28,513 --> 00:12:30,726 frankly, they have mental health challenges, they're not able to 186 00:12:30,726 --> 00:12:33,658 get into the high charge brain states because they're not 187 00:12:33,678 --> 00:12:35,783 getting the right balance across the three brain states. 188 00:12:36,865 --> 00:12:42,879 So, um, this is this is exciting , and the key is you've got to 189 00:12:42,939 --> 00:12:44,303 build your own human ai team. 190 00:12:44,303 --> 00:12:47,139 That is, you've got to work out what are the medium charge 191 00:12:47,159 --> 00:12:49,819 tasks I do every day, what are the high charge tasks that I 192 00:12:49,839 --> 00:12:53,942 need to do, and then, where can the AI help me with both? 193 00:12:53,942 --> 00:12:56,602 So we created this new mini training Train your Brain for 194 00:12:56,622 --> 00:12:57,245 the AI Revolution. 195 00:12:57,245 --> 00:13:02,225 So, under 60 minutes, you learn how to build your own human AI 196 00:13:02,266 --> 00:13:05,580 team, and this is going to be the currency of the future. 197 00:13:05,580 --> 00:13:11,849 It's understanding how to build ai into your workflows and then 198 00:13:11,849 --> 00:13:14,918 , once you understand how to do it yourself, you can then coach 199 00:13:14,957 --> 00:13:16,300 and train others how to do this. 200 00:13:16,300 --> 00:13:20,668 You can lead to, you can lead human ai teams. 201 00:13:20,668 --> 00:13:26,065 So making that training available um, certainly, in the 202 00:13:26,105 --> 00:13:30,662 short term it's it's free and I'll put a link beneath this um 203 00:13:30,742 --> 00:13:36,629 podcast so you can access that um and we go into more detail 204 00:13:36,669 --> 00:13:37,954 and everything I've talked about on the podcast. 205 00:13:39,218 --> 00:13:42,149 So thank you so much for listening to me this morning. 206 00:13:42,149 --> 00:13:44,942 Well, it's morning for me, sorry, or whatever time it is 207 00:13:44,982 --> 00:13:45,346 for you. 208 00:13:45,346 --> 00:13:47,738 I hope that was interesting and insightful, as ever. 209 00:13:47,738 --> 00:13:48,921 If you have any questions, let me know. 210 00:13:48,921 --> 00:13:51,657 And then I hope that you find the mini course really 211 00:13:51,697 --> 00:13:57,813 interesting and it helps you to improve your health, your 212 00:13:57,853 --> 00:14:02,043 happiness and your performance, and remember you're only ever 213 00:14:02,263 --> 00:14:04,467 one brain state habit away.