1 00:00:01,883 --> 00:00:05,810 Speaker 1: Hello Habit Mechanics , dr John Finn here, I hope 2 00:00:05,831 --> 00:00:07,833 you're well Just doing a walking pod. 3 00:00:07,833 --> 00:00:12,266 I want to talk about brain states, brain state intelligence 4 00:00:12,266 --> 00:00:12,266 . 5 00:00:12,266 --> 00:00:17,303 Brain state intelligence is the key to unlocking the 6 00:00:17,362 --> 00:00:23,129 opportunities that are presented to all of us in the AI 7 00:00:23,370 --> 00:00:28,835 revolution which I think the data now shows we are in. 8 00:00:28,835 --> 00:00:35,625 There's a lot of talk about changes that would be coming 9 00:00:35,646 --> 00:00:45,396 down the line to how businesses, to what humans are valued for, 10 00:00:48,359 --> 00:00:53,140 where they can add value, where they can earn money, and now 11 00:00:53,180 --> 00:00:55,729 we're starting to see changes. 12 00:00:55,729 --> 00:01:01,682 So one of the big news stories the last week or so is that IBM 13 00:01:02,823 --> 00:01:11,739 laid off 8,000 HR staff and in their discussions about this, 14 00:01:11,778 --> 00:01:15,362 it's because they're going to replace lots of what those 15 00:01:15,382 --> 00:01:17,965 people did with AI. 16 00:01:19,325 --> 00:01:30,417 Remember, ai is technology that can complete complex cognitive 17 00:01:30,496 --> 00:01:36,111 tasks on a continuum through to very complex cognitive tasks. 18 00:01:36,111 --> 00:01:38,667 This is the first time in history we've had this 19 00:01:38,727 --> 00:01:39,269 technology. 20 00:01:39,269 --> 00:01:44,840 The Industrial Revolution automated complex manual labour. 21 00:01:44,840 --> 00:01:53,608 The Industrial Revolution automated complex manual labour 22 00:01:53,688 --> 00:01:55,009 and there was multiple iterations of that. 23 00:01:55,009 --> 00:01:59,653 We're still advancing what machinery can do, but it was the 24 00:01:59,653 --> 00:02:00,134 first time. 25 00:02:00,134 --> 00:02:05,763 The Industrial Revolution as we understand it was the first 26 00:02:05,783 --> 00:02:11,200 time that we could automate manual labour at scale, and now 27 00:02:11,241 --> 00:02:15,068 the AI Revolution is the first time we can automate complex 28 00:02:15,128 --> 00:02:16,872 cognitive tasks at scale. 29 00:02:16,872 --> 00:02:27,319 So I've seen workforce disruption disruption. 30 00:02:27,340 --> 00:02:28,723 So I wanted to revisit brain state intelligence, because this 31 00:02:28,723 --> 00:02:30,507 is the thing that we need to understand if we want to get our 32 00:02:30,507 --> 00:02:31,188 head around. 33 00:02:31,188 --> 00:02:38,846 Well, what, what is it that ai can do faster and more cheaply 34 00:02:39,066 --> 00:02:39,766 than I can do? 35 00:02:39,766 --> 00:02:42,730 Because if I understand that, I don't have to worry about it 36 00:02:42,850 --> 00:02:47,795 replacing me, I can actually use it to supercharge me. 37 00:02:47,795 --> 00:02:55,759 So, to think about this, we have our brain battery metaphor. 38 00:02:55,759 --> 00:02:58,120 But I mean our brain literally is like a battery. 39 00:02:58,120 --> 00:03:02,272 It runs on chemicals and electricity and it operates in 40 00:03:02,312 --> 00:03:03,240 three charge states. 41 00:03:03,240 --> 00:03:09,090 It has the recharge state where we are sleeping, and also we 42 00:03:09,129 --> 00:03:12,919 have non-sleep recharge, where we're recharging the battery, 43 00:03:14,545 --> 00:03:18,079 and this is think of your brain batteries operating in a 24-hour 44 00:03:18,079 --> 00:03:21,806 cycle, so every 24 hours it needs to recharge. 45 00:03:22,989 --> 00:03:24,852 The second brain state is medium charge. 46 00:03:24,852 --> 00:03:34,114 This is where we do complete, simple, simple cognitive tasks. 47 00:03:34,114 --> 00:03:39,486 Simple for what? 48 00:03:39,486 --> 00:03:41,730 In relation to what our brain is capable of. 49 00:03:41,730 --> 00:03:52,038 So it's very it's doing things that we've already learned how 50 00:03:52,058 --> 00:03:52,280 to do. 51 00:03:52,280 --> 00:03:53,900 By and large, it's habit-type thinking. 52 00:03:53,900 --> 00:04:00,765 It's that kind of busy work people describe that's become 53 00:04:00,806 --> 00:04:03,467 addictive actually, and I think COVID has something to do with 54 00:04:03,486 --> 00:04:06,445 that sort of work where you always feel like you're busy but 55 00:04:06,445 --> 00:04:07,611 you never get anything done. 56 00:04:07,611 --> 00:04:09,640 You never feel like you're making progress. 57 00:04:09,640 --> 00:04:12,485 That's a medium charge brain state. 58 00:04:12,485 --> 00:04:20,161 And the third brain state is the high charge brain state. 59 00:04:20,161 --> 00:04:22,826 This is the brain state we used to do our mentally complex work 60 00:04:22,826 --> 00:04:25,312 , to really think cleverly. 61 00:04:25,312 --> 00:04:27,225 It's effortful. 62 00:04:27,225 --> 00:04:32,250 Our ability to do high-charge thinking is a limited cognitive 63 00:04:32,290 --> 00:04:32,651 resource. 64 00:04:32,651 --> 00:04:34,406 We only can do so much of it each day. 65 00:04:34,406 --> 00:04:40,901 So where AI is coming in is it's very clearly able to do 66 00:04:42,103 --> 00:04:51,214 medium charge work in many, many tasks much faster and much more 67 00:04:51,214 --> 00:04:52,401 cheaper than humans can. 68 00:04:54,244 --> 00:05:00,112 So just interestingly, yesterday so you know, anyone who runs 69 00:05:00,132 --> 00:05:02,543 their own business will tell you it's difficult to run your own 70 00:05:02,584 --> 00:05:05,651 business right, it's also very rewarding, but it's difficult. 71 00:05:05,651 --> 00:05:08,139 So yesterday I was working at the weekend. 72 00:05:08,139 --> 00:05:10,327 I worked all weekend actually, because I've got a lot of things 73 00:05:10,327 --> 00:05:11,050 to do at the moment. 74 00:05:11,050 --> 00:05:13,903 Um, there's no violin coming out here. 75 00:05:13,903 --> 00:05:17,716 I enjoy what I do, but I was using some software that's 76 00:05:17,776 --> 00:05:22,245 pretty complicated, um, and we've used this software on and 77 00:05:22,286 --> 00:05:26,372 off for a few years, but we decided to start to use it more 78 00:05:26,392 --> 00:05:29,466 consistently now and what I was amazed by. 79 00:05:30,060 --> 00:05:32,964 So previously, when you got stuck, you had to reach out to 80 00:05:32,985 --> 00:05:35,966 their support and say, look, I'm stuck with this, how do I do 81 00:05:35,987 --> 00:05:36,889 this, how do I do that? 82 00:05:36,889 --> 00:05:45,591 Now they have, and they've had a sort of a support bot, if you 83 00:05:45,612 --> 00:05:47,663 like, for a while where you can just ask it questions, but it 84 00:05:48,346 --> 00:05:52,687 typically wasn't very good, but now, just using it this weekend 85 00:05:53,649 --> 00:05:55,153 and last week, it's amazing. 86 00:05:55,153 --> 00:05:58,889 I mean, it just knows every answer to every question you've 87 00:05:58,930 --> 00:05:59,110 got. 88 00:05:59,110 --> 00:06:01,745 So instead of getting frustrated, you can literally 89 00:06:01,805 --> 00:06:05,504 solve your issues in minutes rather than having to wait for a 90 00:06:05,504 --> 00:06:06,348 support email. 91 00:06:06,348 --> 00:06:11,771 So see how that bot is able to replace a human doing the same 92 00:06:11,812 --> 00:06:16,610 job, and it can probably replace teams of humans, as we've seen 93 00:06:16,689 --> 00:06:21,742 actually in multiple cases across industries where many 94 00:06:21,802 --> 00:06:28,819 humans have been replaced by that type of technology, and, 95 00:06:28,841 --> 00:06:31,470 broadly speaking, we call that technology agentic AI. 96 00:06:31,470 --> 00:06:35,771 So agentic AI, in other words, ai agents. 97 00:06:35,771 --> 00:06:39,990 They're able to do medium-charge work cheaper and 98 00:06:40,029 --> 00:06:43,041 faster than humans, and that's coming online now and that's the 99 00:06:43,041 --> 00:06:44,247 biggest disruptor we're seeing. 100 00:06:44,279 --> 00:06:46,821 So when you're seeing people losing their jobs, it's because 101 00:06:46,841 --> 00:06:49,990 they're being replaced by agents . 102 00:06:49,990 --> 00:06:50,752 So what does that tell you? 103 00:06:50,752 --> 00:06:53,757 It tells you that businesses are less prepared than ever 104 00:06:53,798 --> 00:07:00,144 before to pay human beings to do medium-charge work Because they 105 00:07:00,144 --> 00:07:01,930 can get the work done faster and cheaper. 106 00:07:01,930 --> 00:07:05,485 And you know, we've seen iterations of this with 107 00:07:05,545 --> 00:07:11,446 outsourcing or offshoring over the years, whether it was call 108 00:07:11,466 --> 00:07:16,300 centres, or my grandfather's generation, who were engineers 109 00:07:16,500 --> 00:07:24,735 building basically industrial machines in the areas of the 110 00:07:24,776 --> 00:07:26,839 world that I am from, where the industrial revolution started, 111 00:07:27,721 --> 00:07:28,985 their jobs got outsourced. 112 00:07:28,985 --> 00:07:32,713 I remember my grandfather going over to India, I think, to 113 00:07:32,752 --> 00:07:37,307 train people to do his job essentially, but so we've seen 114 00:07:37,329 --> 00:07:41,786 this offshoring before to save costs, but now we are offloading 115 00:07:41,786 --> 00:07:42,567 this onto AI. 116 00:07:42,567 --> 00:07:46,360 So that's why people are losing their jobs, because businesses 117 00:07:46,459 --> 00:07:50,389 are not going to pay humans to do medium charge work, and this 118 00:07:50,449 --> 00:07:53,560 is also why we are seeing such a drop off on graduate 119 00:07:53,581 --> 00:07:54,101 recruitment. 120 00:07:54,101 --> 00:08:00,127 So we've seen the decline of the advertisement of graduate 121 00:08:00,168 --> 00:08:06,175 roles from 2019 to now, declined by 67 percent. 122 00:08:06,175 --> 00:08:12,043 So businesses are less, are increasingly less, interested 123 00:08:12,084 --> 00:08:15,456 whether you have a degree or not , and we've seen some 124 00:08:15,495 --> 00:08:19,324 acceleration of those numbers in recent 12 months or so, 125 00:08:19,865 --> 00:08:21,567 depending on where you are in the world. 126 00:08:21,567 --> 00:08:26,862 And it's because, again, what most graduates do fairly 127 00:08:27,324 --> 00:08:30,886 medium-charge work, and so what businesses are doing is they're 128 00:08:30,906 --> 00:08:32,923 replacing instead of recruiting graduates. 129 00:08:32,923 --> 00:08:34,669 They're investing in AI systems . 130 00:08:36,642 --> 00:08:37,546 So what does this mean? 131 00:08:37,546 --> 00:08:42,047 It means that we're only going to be really valuable If we can 132 00:08:42,087 --> 00:08:44,315 consistently get into our high-charge brain states. 133 00:08:44,315 --> 00:08:53,297 So that is the key, and we can also use AI to help us in our 134 00:08:53,336 --> 00:08:54,499 high-charge brain states. 135 00:08:54,499 --> 00:08:56,570 So what we've seen. 136 00:08:56,570 --> 00:08:59,946 So when people are really nailing it, they're getting a 137 00:09:00,025 --> 00:09:05,005 really good balance between their recharge, their 138 00:09:05,025 --> 00:09:07,014 medium-charge and their high charge brain states. 139 00:09:07,014 --> 00:09:14,174 We see that people, before we had this sophisticated AI, they 140 00:09:14,195 --> 00:09:16,405 could maybe do four to five hours of high charge, high 141 00:09:16,446 --> 00:09:19,533 impact work per day and they were really nailing it. 142 00:09:19,533 --> 00:09:25,028 What we're now seeing, and those people would have been 143 00:09:25,048 --> 00:09:25,750 what we called habit mechanics. 144 00:09:25,750 --> 00:09:27,738 What we're now seeing and those people would have been what we 145 00:09:27,778 --> 00:09:28,741 called habit mechanics. 146 00:09:28,741 --> 00:09:32,714 What we're now seeing is, when you give those habit mechanics 147 00:09:32,774 --> 00:09:40,278 an AI edge, they're able to do seven plus hours of high charge, 148 00:09:40,278 --> 00:09:46,171 high impact work and thinking per day Because they're 149 00:09:46,211 --> 00:09:48,725 optimizing their brain states, their brain state intelligent 150 00:09:49,527 --> 00:10:01,774 and then they're also using um agentic ai to co-work with on 151 00:10:01,794 --> 00:10:03,998 their high charge complex thinking tasks. 152 00:10:05,960 --> 00:10:13,600 So this is what we mean by brain state intelligence. 153 00:10:13,600 --> 00:10:15,945 It's understanding our three brain states recharge, medium 154 00:10:15,965 --> 00:10:17,486 charge and high high charge. 155 00:10:17,486 --> 00:10:23,131 Recognizing that ai is gonna and all it is now is disrupting, 156 00:10:23,131 --> 00:10:31,059 is going to and it is now is disrupting businesses, paying 157 00:10:31,259 --> 00:10:32,841 humans to do medium-charge work. 158 00:10:32,841 --> 00:10:41,297 So every day, more and more businesses are deciding they're 159 00:10:41,317 --> 00:10:43,125 not going to be paying humans to do medium-charge work. 160 00:10:43,125 --> 00:10:48,687 So if we want to be irreplaceable, then we need to 161 00:10:48,866 --> 00:10:51,010 be consistently able to get into those high charge brain states 162 00:10:51,030 --> 00:10:53,436 and do the kind of work that ai can't do by itself. 163 00:10:53,436 --> 00:10:56,466 And this is why I wrote train your brain for the air 164 00:10:56,485 --> 00:11:01,437 revolution and, excitingly, we're just releasing train your 165 00:11:01,456 --> 00:11:03,106 brain for the air evolution mini course. 166 00:11:03,106 --> 00:11:10,208 So in in under, in under 60 minutes, you learn how to build 167 00:11:10,229 --> 00:11:13,481 your own high-performing human AI team, because that's what 168 00:11:13,523 --> 00:11:14,085 this is about. 169 00:11:15,989 --> 00:11:17,772 It's the simplest way we can explain this. 170 00:11:17,772 --> 00:11:21,606 It's that actually the future is if you want to be healthy, 171 00:11:21,667 --> 00:11:23,739 happy and at our best and, by the way, if you're doing more 172 00:11:23,778 --> 00:11:26,644 high charge work every day, you'll be happier and healthier 173 00:11:27,408 --> 00:11:29,114 because you'll feel like you're making progress. 174 00:11:29,114 --> 00:11:33,830 I know I've been working I've not had a day off for a while 175 00:11:33,850 --> 00:11:38,230 because I'm just so, so busy but I feel really good because I'm 176 00:11:38,270 --> 00:11:40,076 doing work that's really interesting to me. 177 00:11:40,076 --> 00:11:44,571 I'm learning lots of new things because I'm able to get into 178 00:11:44,591 --> 00:11:46,355 those high charge brain states every day. 179 00:11:46,355 --> 00:11:48,451 I'm not recommending everybody does this, by the way, I'm just 180 00:11:48,894 --> 00:11:52,446 giving a genuine insight into where things are for me at the 181 00:11:52,485 --> 00:11:57,778 moment, but the high charge brain state is the most 182 00:11:57,798 --> 00:12:02,412 rewarding brain state and it's often the biggest thing that's 183 00:12:02,471 --> 00:12:02,893 missing. 184 00:12:02,893 --> 00:12:08,543 When people are not happy, when they are overwhelmed, um when, 185 00:12:08,583 --> 00:12:10,797 frankly, they have mental health challenges, they're not able to 186 00:12:10,797 --> 00:12:13,729 get into the high charge brain states because they're not 187 00:12:13,749 --> 00:12:15,854 getting the right balance across the three brain states. 188 00:12:16,936 --> 00:12:22,950 So, um, this is this is exciting , and the key is you've got to 189 00:12:23,009 --> 00:12:24,374 build your own human ai team. 190 00:12:24,374 --> 00:12:27,210 That is, you've got to work out what are the medium charge 191 00:12:27,230 --> 00:12:29,889 tasks I do every day, what are the high charge tasks that I 192 00:12:29,909 --> 00:12:34,013 need to do, and then, where can the AI help me with both? 193 00:12:34,013 --> 00:12:36,673 So we created this new mini training Train your Brain for 194 00:12:36,692 --> 00:12:37,315 the AI Revolution. 195 00:12:37,315 --> 00:12:42,296 So, under 60 minutes, you learn how to build your own human AI 196 00:12:42,336 --> 00:12:45,650 team, and this is going to be the currency of the future. 197 00:12:45,650 --> 00:12:51,919 It's understanding how to build ai into your workflows and then 198 00:12:51,919 --> 00:12:54,988 , once you understand how to do it yourself, you can then coach 199 00:12:55,028 --> 00:12:56,370 and train others how to do this. 200 00:12:56,370 --> 00:13:00,739 You can lead to, you can lead human ai teams. 201 00:13:00,739 --> 00:13:06,135 So making that training available um, certainly, in the 202 00:13:06,176 --> 00:13:10,732 short term it's it's free and I'll put a link beneath this um 203 00:13:10,812 --> 00:13:16,700 podcast so you can access that um and we go into more detail 204 00:13:16,740 --> 00:13:18,024 and everything I've talked about on the podcast. 205 00:13:19,288 --> 00:13:22,219 So thank you so much for listening to me this morning. 206 00:13:22,219 --> 00:13:25,013 Well, it's morning for me, sorry, or whatever time it is 207 00:13:25,052 --> 00:13:25,416 for you. 208 00:13:25,416 --> 00:13:27,808 I hope that was interesting and insightful, as ever. 209 00:13:27,808 --> 00:13:28,991 If you have any questions, let me know. 210 00:13:28,991 --> 00:13:31,727 And then I hope that you find the mini course really 211 00:13:31,768 --> 00:13:37,884 interesting and it helps you to improve your health, your 212 00:13:37,923 --> 00:13:42,113 happiness and your performance, and remember you're only ever 213 00:13:42,333 --> 00:13:44,538 one brain state habit away.