1 00:00:20,070 --> 00:00:21,594 Speaker 1: Hello Habit Mechanics . 2 00:00:21,594 --> 00:00:23,198 It's Dr John Finn here. 3 00:00:23,198 --> 00:00:24,922 I hope you're having a great week so far. 4 00:00:24,922 --> 00:00:30,560 So this is part three of our how to Become a Human AI Coach 5 00:00:30,719 --> 00:00:36,215 mini-series, where we're going a bit deeper into some of the 6 00:00:38,057 --> 00:00:43,953 later chapters in our new book Train your Brain for the AI 7 00:00:44,173 --> 00:00:47,980 Revolution the proven four, four step system to become 8 00:00:48,262 --> 00:00:50,388 irreplaceable, no tech skills required. 9 00:00:50,388 --> 00:00:58,317 And our overarching point in this little mini series, but 10 00:00:58,377 --> 00:01:06,245 also in the book, is, if we want to capitalise on the amazing 11 00:01:06,284 --> 00:01:11,575 opportunities that ai revolution holds or can potentially 12 00:01:11,615 --> 00:01:15,950 deliver for us individually and collectively, we need to move 13 00:01:15,990 --> 00:01:19,778 away from this tech-centric approach and have a more human 14 00:01:20,521 --> 00:01:21,563 centric approach to it. 15 00:01:21,563 --> 00:01:26,300 It's not the tools themselves that are going to make the 16 00:01:26,341 --> 00:01:26,842 difference. 17 00:01:26,842 --> 00:01:30,920 It's how humans are able to use them and actually how humans 18 00:01:30,961 --> 00:01:32,455 are able to continue developing them. 19 00:01:32,455 --> 00:01:37,539 And that's what we've been talking about in the first two 20 00:01:37,621 --> 00:01:43,456 parts of of this mini series, and we've been spotlighting the 21 00:01:43,537 --> 00:01:45,842 role of human AI coaches. 22 00:01:45,842 --> 00:01:50,790 When we train people to become human AI coaches, we call it 23 00:01:50,830 --> 00:01:56,576 becoming a certified hand mechanic AI edge coach and this 24 00:01:58,163 --> 00:02:01,441 I think that that profession will become the most important 25 00:02:01,480 --> 00:02:07,977 profession for our species, if it isn't already, and hopefully 26 00:02:08,016 --> 00:02:13,597 what you've seen in the last two parts is that, although 27 00:02:13,657 --> 00:02:16,263 cognitive performance might sound a little bit intangible, 28 00:02:17,790 --> 00:02:23,919 what human AI coaches do is very tangible, is very impactful. 29 00:02:23,919 --> 00:02:34,135 Tangible is very impactful and is vital if individuals and 30 00:02:34,156 --> 00:02:34,937 organizations want to become successful. 31 00:02:34,937 --> 00:02:37,402 And in part three we can kind of zoom out a little bit here 32 00:02:37,421 --> 00:02:39,491 and think about this at an organizational level. 33 00:02:39,491 --> 00:02:45,139 The chapter I'm going to share with you is called, so it's 34 00:02:45,159 --> 00:02:47,522 chapter 28, and it's understanding brain states at 35 00:02:47,562 --> 00:02:50,026 scale, creating brain state intelligent cultures. 36 00:02:50,771 --> 00:02:52,217 There's a few things I want to get into here. 37 00:02:52,217 --> 00:02:59,580 First of all, big, compelling sets of data show that 74% of 38 00:02:59,659 --> 00:03:03,366 companies are failing I'm just reading this out are failing to 39 00:03:03,426 --> 00:03:12,254 extract meaningful value from their ai investments, and new 40 00:03:12,334 --> 00:03:20,004 research from um, bcg and the world economic forum shows the 41 00:03:20,243 --> 00:03:23,594 the primary reason for that failure is not the technology, 42 00:03:24,516 --> 00:03:25,158 it's people. 43 00:03:25,158 --> 00:03:28,413 That is the barrier and it's not people's fault. 44 00:03:28,413 --> 00:03:31,319 It's just that people are mentally fatigued and they're 45 00:03:31,340 --> 00:03:33,251 cognitively overloaded. 46 00:03:33,251 --> 00:03:40,242 So we're not going to get the growth in our economies that we 47 00:03:40,322 --> 00:03:44,780 desperately need if we want to have the countries that we want, 48 00:03:44,780 --> 00:03:46,889 that we want to have and the schools and the education 49 00:03:46,929 --> 00:03:51,361 systems and get the pay rises that we want if our businesses 50 00:03:51,401 --> 00:03:54,736 can't grow and the main thing that's currently holding 51 00:03:54,757 --> 00:03:58,198 businesses back from growing is that they're not able to 52 00:03:58,239 --> 00:04:01,698 capitalise on this new AI technology because people are, 53 00:04:01,737 --> 00:04:04,695 frankly, burnt out, they're tired, they're fatigued, they're 54 00:04:04,695 --> 00:04:11,324 overloaded, and the way that we can just break that down into 55 00:04:11,385 --> 00:04:15,075 simple terms is that people's brain states balance is not good 56 00:04:15,075 --> 00:04:15,075 . 57 00:04:15,075 --> 00:04:18,447 They're not doing enough recharge, they're sucked into 58 00:04:18,507 --> 00:04:19,630 too much medium charge. 59 00:04:19,630 --> 00:04:21,795 That means they can't get into high chargecharge brain states. 60 00:04:21,795 --> 00:04:27,411 So if businesses want to succeed, they're going to have 61 00:04:27,432 --> 00:04:29,420 to help their people to improve their cognitive performance, 62 00:04:29,569 --> 00:04:36,055 improve how they manage brain states, and that means they have 63 00:04:36,055 --> 00:04:38,201 to address this at the cultural level. 64 00:04:39,310 --> 00:04:44,011 And I know that word culture can sometimes feel intangible, and 65 00:04:44,612 --> 00:04:50,131 for me, understanding language is always easiest when we go 66 00:04:50,170 --> 00:04:52,076 back to the genesis of things like what? 67 00:04:52,076 --> 00:04:53,358 Where does that word come from? 68 00:04:53,358 --> 00:04:57,774 Well, culture just is from the word cultivate, which is a latin 69 00:04:57,774 --> 00:05:00,298 word which is to do with agriculture. 70 00:05:00,298 --> 00:05:04,124 Right, it's to do with farming and cultivating the land so you 71 00:05:04,144 --> 00:05:11,420 can grow your crops, and the that word has been borrowed into 72 00:05:11,420 --> 00:05:18,915 hr or human performance fields to explain the culture in a, an 73 00:05:18,954 --> 00:05:22,437 organization and a team in a particular group of people. 74 00:05:22,437 --> 00:05:31,992 So the culture should cultivate the behaviors that are most 75 00:05:32,031 --> 00:05:33,555 helpful for that group of people . 76 00:05:33,555 --> 00:05:39,151 And the way that I think about this is that, if we just take a 77 00:05:39,211 --> 00:05:47,002 business, for example, think of it like a farm and we've got 78 00:05:47,062 --> 00:05:52,913 these people on our farm and we're trying to grow them and 79 00:05:52,954 --> 00:05:55,540 we're trying just because it creates a really vivid visual 80 00:05:55,560 --> 00:05:57,711 we're trying to grow them and we're trying to help them to 81 00:05:57,891 --> 00:06:02,516 flourish, we're trying to nourish them and nurture them to 82 00:06:02,516 --> 00:06:03,497 be able to do that. 83 00:06:04,860 --> 00:06:09,626 But actually, if we want to get this right, we need to go a 84 00:06:09,665 --> 00:06:10,286 level deeper. 85 00:06:10,286 --> 00:06:13,610 It's not the people that are actually trying to grow, it's 86 00:06:13,691 --> 00:06:17,600 our habits, because habits drive what we think and what we do. 87 00:06:17,600 --> 00:06:22,615 So think about on the farm. 88 00:06:22,615 --> 00:06:28,812 We've got these habits that are planted in the soil and the 89 00:06:28,852 --> 00:06:31,860 culture the sun, the rain, the weather conditions, the soil 90 00:06:31,900 --> 00:06:36,458 type, the treatments that we apply to the crop, if you like, 91 00:06:36,478 --> 00:06:37,922 the crop of habits. 92 00:06:37,922 --> 00:06:40,639 That's what a culture does. 93 00:06:40,639 --> 00:06:46,165 So if cultures are toxic, you know they're killing the habits 94 00:06:46,788 --> 00:06:53,161 and actually they're nurturing the wrong behaviours, the wrong 95 00:06:53,362 --> 00:06:53,783 habits. 96 00:06:53,783 --> 00:06:59,535 So I think that's just a really simple way to think about what 97 00:06:59,555 --> 00:07:00,257 a culture is. 98 00:07:00,257 --> 00:07:05,990 So If we then think about the language of this chapter, which 99 00:07:06,030 --> 00:07:08,735 is very deliberate understanding brain states at scale, creating 100 00:07:08,735 --> 00:07:10,478 brain state intelligent cultures. 101 00:07:10,999 --> 00:07:11,680 What does that mean? 102 00:07:11,680 --> 00:07:17,954 It means that we create cultures that help everybody to 103 00:07:18,035 --> 00:07:21,180 understand their brain states, to become more intelligent about 104 00:07:21,180 --> 00:07:21,340 them. 105 00:07:21,340 --> 00:07:24,831 So, those who are familiar with the Habit Mechanic book, we 106 00:07:24,870 --> 00:07:28,038 talk about habit mechanic intelligence and, if we were 107 00:07:28,057 --> 00:07:31,536 going to go a step deeper than that, actually everything in the 108 00:07:31,536 --> 00:07:33,865 habit mechanic approach is built on brain state 109 00:07:33,985 --> 00:07:34,607 intelligence. 110 00:07:34,607 --> 00:07:37,697 So, first, understanding how our brain works and then 111 00:07:37,858 --> 00:07:41,045 understanding that it's literally like a battery and it 112 00:07:41,086 --> 00:07:46,233 has these three core operating states and I think, the 113 00:07:46,273 --> 00:07:52,040 businesses of the future that that succeed, that offer great 114 00:07:52,060 --> 00:07:55,631 places to work, where people are engaged and they're healthy and 115 00:07:55,631 --> 00:07:59,567 they're happy and they're doing great work and there's a great 116 00:07:59,608 --> 00:08:04,322 mutual relationship between uh, the individual, the people and 117 00:08:04,343 --> 00:08:07,430 the organization where everyone's winning that they 118 00:08:07,451 --> 00:08:13,533 will primarily focus on creating cultures that optimize brain 119 00:08:13,554 --> 00:08:18,701 state intelligence, so people understand brain state 120 00:08:18,742 --> 00:08:20,632 intelligence individually and collectively. 121 00:08:20,632 --> 00:08:23,995 And then there are experts in the organization. 122 00:08:23,995 --> 00:08:30,148 There are human AI coaches at the individual level, but there 123 00:08:30,187 --> 00:08:33,050 are also human AI trainers who are training up teams. 124 00:08:33,050 --> 00:08:40,355 There are human AI consultants who are working at a strategic 125 00:08:40,414 --> 00:08:44,086 level, and they're all, of course, things that we do and we 126 00:08:44,086 --> 00:08:45,491 train other people to do. 127 00:08:46,846 --> 00:08:53,626 And I think that a really interesting parallel of where 128 00:08:55,367 --> 00:09:08,096 human ai sorry, brain state intelligence cultures fit is how 129 00:09:08,096 --> 00:09:14,861 Six Sigma or Lean Sigma 6 operated, probably 20, 30 years 130 00:09:14,901 --> 00:09:20,166 ago, where it emerged in the manufacturing sectors, where 131 00:09:20,206 --> 00:09:24,396 essentially what happened was that having fancy manufacturing 132 00:09:24,416 --> 00:09:30,848 machines weren't a competitive advantage anymore if we wanted 133 00:09:30,908 --> 00:09:32,370 to delight our customers. 134 00:09:32,370 --> 00:09:40,572 What we had to do is make not just make products more cheaply 135 00:09:40,612 --> 00:09:43,080 using these big fancy machines, but we had to do it really 136 00:09:43,121 --> 00:09:44,084 efficiently and effectively. 137 00:09:44,084 --> 00:09:50,418 And where lean sigma 6 came in was it created some efficient 138 00:09:50,437 --> 00:09:54,453 and effective processes of making sure that businesses 139 00:09:54,513 --> 00:09:57,386 could create products that delighted their customers faster 140 00:09:57,386 --> 00:09:57,386 . 141 00:09:57,386 --> 00:10:02,157 And of course, a company like toyota was a good example of 142 00:10:02,177 --> 00:10:02,298 that. 143 00:10:02,298 --> 00:10:04,908 They just created these products at a good price. 144 00:10:04,908 --> 00:10:07,632 That people wanted cars that didn't really break down. 145 00:10:07,632 --> 00:10:09,856 They were known to be reliable because they had this great 146 00:10:10,597 --> 00:10:16,611 Sigma 6 type process, which I think they called something a 147 00:10:16,651 --> 00:10:17,394 little bit different. 148 00:10:17,394 --> 00:10:21,709 And then we had people like Jack Welsh, the famous CEO of GE 149 00:10:21,709 --> 00:10:23,535 , being a real champion of that. 150 00:10:25,129 --> 00:10:28,879 One of the reasons why 6 Sigma was so interesting was because 151 00:10:30,364 --> 00:10:33,735 they had this very structured training program throughout 152 00:10:33,855 --> 00:10:37,727 organizations where they had this belt system. 153 00:10:37,727 --> 00:10:45,265 So, like learning martial arts, you would progress in your 154 00:10:45,426 --> 00:10:49,276 skills and your understanding through this gradation system, 155 00:10:49,846 --> 00:10:55,016 and that's exactly what we've created for our Habit Mechanic 156 00:10:55,197 --> 00:10:58,711 AI Edge model, where we can grade people. 157 00:10:58,711 --> 00:11:02,210 We can give people different belts for different levels of 158 00:11:02,291 --> 00:11:06,868 competency, because we understand that if businesses 159 00:11:06,908 --> 00:11:09,926 want to make this really successful, they need to 160 00:11:10,127 --> 00:11:15,650 properly invest the time and money into upskilling their 161 00:11:15,670 --> 00:11:16,372 people in this. 162 00:11:16,372 --> 00:11:23,418 It can't be piecemeal, it needs to be robust. 163 00:11:23,418 --> 00:11:27,310 And if we just go back to those so the 74% of businesses are 164 00:11:27,350 --> 00:11:30,528 failing to capitalize on the benefits of AI. 165 00:11:30,870 --> 00:11:33,656 The few that businesses that are where are they investing all 166 00:11:33,676 --> 00:11:33,977 their money? 167 00:11:33,977 --> 00:11:36,596 It's not in the tech, it's in their people. 168 00:11:36,596 --> 00:11:36,816 They're. 169 00:11:36,816 --> 00:11:40,948 They're investing at least two-thirds of the of their AI 170 00:11:40,988 --> 00:11:42,610 focused investments into people. 171 00:11:42,610 --> 00:11:48,339 The reason those companies are doing well is because actually, 172 00:11:48,604 --> 00:11:52,814 they're more tech-orientated companies and they've been using 173 00:11:52,814 --> 00:11:56,732 AI, as everyone is currently calling it, in one way or 174 00:11:56,793 --> 00:12:00,694 another for probably over 15 years now on average. 175 00:12:00,694 --> 00:12:08,457 So they've had a lot longer to develop workforces that have the 176 00:12:08,457 --> 00:12:12,090 time to really understand how to get the most out of these 177 00:12:12,130 --> 00:12:16,094 tools and systems, whereas the ones that are, I think, the 178 00:12:16,114 --> 00:12:17,104 businesses that are failing. 179 00:12:17,104 --> 00:12:21,065 They're thinking the AI tools are magical in themselves and 180 00:12:21,085 --> 00:12:23,654 they're not the people need to be able to use them. 181 00:12:23,654 --> 00:12:35,076 So, yeah, so I think that brain state intelligent cultures are 182 00:12:35,096 --> 00:12:39,384 going to be the cultures that win, that create workplaces 183 00:12:39,484 --> 00:12:42,031 where people are healthy, happy, engaged and businesses that are 184 00:12:42,031 --> 00:12:49,294 successful, and I think that human ai coaches will be central 185 00:12:49,294 --> 00:12:54,146 to making that happen inside organizations, but we'll also 186 00:12:54,206 --> 00:13:01,098 have human AI trainers and people working at a more 187 00:13:01,118 --> 00:13:05,052 strategic level and, of course, we train people to do all of 188 00:13:05,132 --> 00:13:09,091 those things, and you can do it in a really structured way by 189 00:13:09,332 --> 00:13:10,495 following our belt system. 190 00:13:11,166 --> 00:13:17,315 But I think enough of that, so let's go to the chapter. 191 00:13:17,315 --> 00:13:23,706 So, again, this is chapter 28, and remember, you can, if you 192 00:13:23,726 --> 00:13:26,819 want to listen to this in the full context of train your brain 193 00:13:26,819 --> 00:13:28,748 for the AI revolution our new book. 194 00:13:28,748 --> 00:13:31,120 If you want to listen to this in the full context of Train 195 00:13:31,139 --> 00:13:34,926 your Brain for the AI Revolution our new book, you can do that 196 00:13:34,947 --> 00:13:36,508 inside the Hampton Mechanic University app and you can also 197 00:13:36,548 --> 00:13:42,858 listen to the audiobook on most mainstream audiobook platforms 198 00:13:43,679 --> 00:13:43,979 right now. 199 00:13:43,979 --> 00:13:48,467 So here's the chapter, chapter 28. 200 00:13:48,467 --> 00:13:54,128 Understanding Brain States at Scale Creating Brain State 201 00:13:54,208 --> 00:13:55,411 Intelligent Cultures. 202 00:13:56,974 --> 00:14:00,702 As we conclude our exploration of brain states and AI 203 00:14:00,884 --> 00:14:05,432 integration, let's step back and examine a transformative 204 00:14:05,472 --> 00:14:08,978 opportunity that few organizations have yet 205 00:14:09,038 --> 00:14:09,659 recognized. 206 00:14:09,659 --> 00:14:14,853 Throughout this book, we've focused on optimizing your 207 00:14:14,993 --> 00:14:17,258 individual cognitive performance . 208 00:14:17,258 --> 00:14:21,953 In doing so, we've revealed something profound about 209 00:14:22,053 --> 00:14:23,837 happiness in the AI era. 210 00:14:23,837 --> 00:14:27,894 It's not just about using technology to get more done. 211 00:14:27,894 --> 00:14:31,586 It's about using it strategically to create the 212 00:14:31,646 --> 00:14:36,511 right mix of recharge routine work and high impact, high value 213 00:14:36,511 --> 00:14:41,206 work that allows you to do your job and live your life in a way 214 00:14:41,206 --> 00:14:43,293 that leads to lasting satisfaction. 215 00:14:43,293 --> 00:14:48,049 Now let's understand how these same principles can 216 00:14:48,109 --> 00:14:51,974 revolutionise entire organisations by unleashing 217 00:14:52,415 --> 00:14:55,840 healthy, happy and high-performing workforces. 218 00:14:57,506 --> 00:15:01,094 As artificial intelligence transforms business, a powerful 219 00:15:01,154 --> 00:15:02,678 opportunity is emerging. 220 00:15:02,678 --> 00:15:07,912 Organisations can dramatically improve performance by aligning 221 00:15:08,032 --> 00:15:12,039 work patterns with how human brains naturally function. 222 00:15:12,039 --> 00:15:17,312 This quickly creates measurable improvements by helping teams 223 00:15:17,692 --> 00:15:21,439 to complete key projects over 200% faster. 224 00:15:21,439 --> 00:15:26,276 This is only possible when organizations optimize how their 225 00:15:26,276 --> 00:15:30,126 people perform alongside powerful AI tools. 226 00:15:30,126 --> 00:15:36,522 This optimization comes through creating what we call brain 227 00:15:36,903 --> 00:15:41,440 state intelligent cultures, which is our Six Sigma for human 228 00:15:41,440 --> 00:15:43,005 performance in the AI era. 229 00:15:43,005 --> 00:15:47,714 But to successfully create these winning cultures, we need 230 00:15:47,975 --> 00:15:51,950 to first consider the barriers, the current state of play. 231 00:15:51,950 --> 00:15:56,675 Ai is transforming business at an unprecedented pace. 232 00:15:56,675 --> 00:16:01,695 According to the World Economic Forum's recent Future of Jobs 233 00:16:01,735 --> 00:16:07,435 report, 86% of companies expect AI to revolutionise their 234 00:16:07,475 --> 00:16:08,097 operations. 235 00:16:09,104 --> 00:16:12,154 Yet this transformation brings serious challenges. 236 00:16:12,154 --> 00:16:16,514 Successful AI adoption isn't just about deploying new 237 00:16:16,554 --> 00:16:17,136 technology. 238 00:16:17,136 --> 00:16:21,875 It requires a fundamental shift in how humans and AI 239 00:16:21,935 --> 00:16:22,536 collaborate. 240 00:16:22,536 --> 00:16:27,173 Many organisations underestimate the cognitive toll 241 00:16:27,173 --> 00:16:29,377 this shift takes on their workforce. 242 00:16:29,377 --> 00:16:34,491 The cognitive demands of rapid technological change and our 243 00:16:34,531 --> 00:16:39,379 increasingly volatile, uncertain , complex and ambiguous world 244 00:16:39,785 --> 00:16:43,373 are pushing employees to their cognitive limits, leading to a 245 00:16:43,433 --> 00:16:45,117 cascade of business risks. 246 00:16:45,117 --> 00:16:49,995 Employee engagement nosedives under relentless cognitive 247 00:16:50,035 --> 00:16:50,336 strain. 248 00:16:50,336 --> 00:16:55,733 Mental fatigue surges as workers struggle to keep up with 249 00:16:55,733 --> 00:16:57,678 constant technological change. 250 00:16:57,678 --> 00:17:02,418 Learning capacity collapses under information overload, 251 00:17:02,978 --> 00:17:04,383 stalling critical projects. 252 00:17:04,383 --> 00:17:11,076 Team effectiveness deteriorates as digital overload fragments 253 00:17:11,155 --> 00:17:13,339 communication and collaboration. 254 00:17:13,339 --> 00:17:18,594 Innovation grinds to a halt when employees can't maintain 255 00:17:19,095 --> 00:17:21,078 deep, focused thinking. 256 00:17:21,078 --> 00:17:26,073 Workplace wellbeing suffers, driving higher staff turnover 257 00:17:26,673 --> 00:17:29,159 and making it harder to retain top talent. 258 00:17:29,159 --> 00:17:34,549 Staff turnover and making it harder to retain top talent. 259 00:17:34,549 --> 00:17:36,114 If businesses fail to address these cognitive challenges, the 260 00:17:36,134 --> 00:17:39,384 consequences will be severe Declining productivity, stalled 261 00:17:39,423 --> 00:17:42,369 innovation and an exodus of skilled employees. 262 00:17:43,269 --> 00:17:46,355 The future of work isn't just about adopting AI. 263 00:17:46,355 --> 00:17:51,342 It's about ensuring humans can thrive alongside it. 264 00:17:51,342 --> 00:17:56,412 These challenges become particularly acute during major 265 00:17:56,592 --> 00:17:58,236 organisational transformations. 266 00:17:58,236 --> 00:18:02,092 As an example of the difficulties businesses face 267 00:18:02,172 --> 00:18:05,788 during major transitions, let's consider mergers and 268 00:18:05,827 --> 00:18:06,469 acquisitions. 269 00:18:06,469 --> 00:18:13,186 Companies spend more than $2 trillion annually on M&A deals, 270 00:18:13,206 --> 00:18:17,513 yet 70 to 90% fail to meet expectations. 271 00:18:17,513 --> 00:18:22,026 While traditional analysis blames factors like poor 272 00:18:22,186 --> 00:18:26,073 strategic fit or incorrect valuations, a deeper truth 273 00:18:26,153 --> 00:18:31,721 emerges Combining cultures, systems and AI technologies 274 00:18:32,163 --> 00:18:36,691 creates overwhelming cognitive demands that most organisations 275 00:18:37,152 --> 00:18:38,234 aren't equipped to handle. 276 00:18:38,234 --> 00:18:43,548 Without optimising brain states , even the most strategically 277 00:18:43,609 --> 00:18:48,174 sound transformations can fail as people struggle to maintain 278 00:18:48,435 --> 00:18:52,681 the focused thinking needed to implement complex change. 279 00:18:54,388 --> 00:18:57,016 These observations aren't just theoretical. 280 00:18:57,016 --> 00:19:02,476 They're built on my 25 years of developing a fundamentally 281 00:19:02,556 --> 00:19:06,971 different approach to helping individuals, teams and leaders 282 00:19:07,512 --> 00:19:10,798 optimise their cognitive performance during challenging 283 00:19:10,837 --> 00:19:11,480 transitions. 284 00:19:11,480 --> 00:19:16,894 Through working with over 20,000 people and completing my 285 00:19:16,974 --> 00:19:20,887 PhD in this area, I've seen these challenges firsthand. 286 00:19:20,887 --> 00:19:25,092 But I've also seen something else when organisations 287 00:19:25,613 --> 00:19:30,057 understand how to optimise brain states, extraordinary 288 00:19:30,138 --> 00:19:35,028 transformations become possible the power of first principles 289 00:19:35,048 --> 00:19:38,076 thinking To appreciate what's possible. 290 00:19:38,717 --> 00:19:42,750 Consider how sports science transformed physical athletic 291 00:19:42,772 --> 00:19:45,417 performance 25 years ago. 292 00:19:45,417 --> 00:19:49,991 I worked on the front lines of this revolution, watching as 293 00:19:50,072 --> 00:19:54,931 teams abandoned traditional training approaches in favour of 294 00:19:54,931 --> 00:19:58,440 methods based on how the human body actually functions. 295 00:19:58,440 --> 00:20:02,028 The transformation wasn't about working harder. 296 00:20:02,028 --> 00:20:06,679 It was about aligning training with the body's fundamental 297 00:20:06,765 --> 00:20:07,207 mechanics. 298 00:20:07,207 --> 00:20:12,363 Today we face a similar opportunity with cognitive 299 00:20:12,403 --> 00:20:15,153 performance through brain state optimisation. 300 00:20:15,153 --> 00:20:20,197 As I've shown throughout this book, over the past 25 years 301 00:20:20,768 --> 00:20:24,589 we've developed a deep, proprietary understanding of how 302 00:20:24,589 --> 00:20:28,449 to translate cutting-edge insights from neuroscience and 303 00:20:28,469 --> 00:20:32,026 behavioural science into practical organizational change. 304 00:20:32,026 --> 00:20:37,520 Just as sports scientists created systems that teams could 305 00:20:37,520 --> 00:20:40,628 implement in their daily training, we've developed 306 00:20:40,688 --> 00:20:44,836 methodologies that help businesses seamlessly integrate 307 00:20:45,197 --> 00:20:47,911 brain science into their daily practices. 308 00:20:47,911 --> 00:20:53,227 This systematic approach allows organizations to create 309 00:20:53,288 --> 00:20:57,917 cultures where optimal cognitive performance becomes natural 310 00:20:58,217 --> 00:20:59,099 rather than forced. 311 00:20:59,099 --> 00:21:03,355 And just as sports science created a new standard for 312 00:21:03,435 --> 00:21:07,608 athletic excellence, this integration of human cognitive 313 00:21:07,769 --> 00:21:12,332 optimization with technological capability creates something 314 00:21:12,533 --> 00:21:16,970 unprecedented in organisational performance what we call 315 00:21:17,571 --> 00:21:19,637 brain-state intelligent cultures . 316 00:21:19,637 --> 00:21:22,974 The result isn't just better performance. 317 00:21:22,974 --> 00:21:27,714 It's the kind of environment where both people and technology 318 00:21:27,714 --> 00:21:33,394 can work together at their best the Holy Grail Brain state 319 00:21:33,475 --> 00:21:34,424 intelligent cultures. 320 00:21:34,424 --> 00:21:38,682 I believe that teams and organisations that create these 321 00:21:38,743 --> 00:21:43,769 cultures will thrive in the AI era, and therefore creating one 322 00:21:44,191 --> 00:21:46,677 should be every business's number one goal. 323 00:21:46,677 --> 00:21:51,879 In these environments, technology enhances rather than 324 00:21:51,980 --> 00:21:56,190 overwhelms human capabilities, and sustainable high performance 325 00:21:56,190 --> 00:22:00,839 emerges from aligning work with how brains actually function. 326 00:22:02,185 --> 00:22:05,891 A brain state intelligent culture transforms performance 327 00:22:06,031 --> 00:22:10,317 across every level of your organisation, from young 328 00:22:10,356 --> 00:22:14,769 professionals to middle managers , senior leaders to teams. 329 00:22:14,769 --> 00:22:18,697 Every group gains unique benefits from optimising their 330 00:22:18,737 --> 00:22:19,399 brain states. 331 00:22:19,399 --> 00:22:23,956 Let's explore the specific advantages for each Young 332 00:22:23,996 --> 00:22:29,209 professionals become productive revenue drivers faster by 333 00:22:29,308 --> 00:22:34,759 mastering complex skills and AI tools in months instead of years 334 00:22:34,759 --> 00:22:34,759 . 335 00:22:34,759 --> 00:22:40,494 Build long-term, sustainable high performance by managing 336 00:22:40,594 --> 00:22:43,558 stress effectively, increasing their impact. 337 00:22:43,558 --> 00:22:48,893 Stay engaged and grow within the company, improving retention 338 00:22:48,893 --> 00:22:51,757 and maximising long-term potential. 339 00:22:51,757 --> 00:22:57,971 Middle managers Drive faster AI adoption and ROI by confidently 340 00:22:57,971 --> 00:23:01,998 leading change and turning resistance into measurable 341 00:23:02,118 --> 00:23:03,120 productivity gains. 342 00:23:03,120 --> 00:23:07,031 Deliver on strategic initiatives while maintaining 343 00:23:07,091 --> 00:23:10,498 team performance, balancing competing demands without 344 00:23:10,518 --> 00:23:10,959 burnout. 345 00:23:10,959 --> 00:23:16,593 Create high-performing teams that consistently hit targets by 346 00:23:16,593 --> 00:23:20,560 optimising both personal and collective productivity. 347 00:23:20,560 --> 00:23:26,149 Senior leaders Make sharper strategic decisions for 348 00:23:26,210 --> 00:23:29,657 longer-using, science-backed strategies from elite athletes 349 00:23:35,112 --> 00:23:37,683 maintaining peak cognitive function throughout their 350 00:23:37,703 --> 00:23:37,865 careers. 351 00:23:37,865 --> 00:23:42,010 Drive successful AI transformation by mastering the 352 00:23:42,031 --> 00:23:44,544 human factors that accelerate adoption and maximise ROI. 353 00:23:44,544 --> 00:23:50,932 Create lasting cultural change that turns resistance into 354 00:23:50,993 --> 00:23:55,680 enthusiasm, fostering sustained high performance across the 355 00:23:55,720 --> 00:23:56,401 organisation. 356 00:23:56,401 --> 00:24:04,115 Teams Deliver complex projects over 200% faster by optimising 357 00:24:04,535 --> 00:24:07,680 collective brain function for breakthrough performance. 358 00:24:12,445 --> 00:24:13,508 Brain function for breakthrough performance. 359 00:24:13,508 --> 00:24:14,610 Maintain peak productivity during AI transformation by 360 00:24:14,650 --> 00:24:16,193 aligning work patterns with natural energy cycles, 361 00:24:16,776 --> 00:24:18,601 preventing costly burnout. 362 00:24:18,601 --> 00:24:23,512 Drive faster innovation and problem solving by enabling 363 00:24:23,612 --> 00:24:27,408 seamless collaboration across generations and skill levels. 364 00:24:27,408 --> 00:24:32,628 These individual and team improvements combine to create 365 00:24:32,709 --> 00:24:37,971 powerful organisational outcomes reduce burnout, lower staff 366 00:24:38,013 --> 00:24:42,688 turnover, enhanced innovation, better talent retention and 367 00:24:42,728 --> 00:24:44,314 improved customer solutions. 368 00:24:44,314 --> 00:24:49,449 Most importantly, they create environments where people 369 00:24:49,610 --> 00:24:53,570 genuinely want to stay and grow because they can consistently 370 00:24:53,630 --> 00:24:57,018 perform at their best without sacrificing well-being. 371 00:24:57,018 --> 00:25:00,615 This creates a powerful competitive advantage. 372 00:25:00,615 --> 00:25:04,714 But achieving this transformation isn't a matter of 373 00:25:04,714 --> 00:25:05,115 chance. 374 00:25:05,115 --> 00:25:09,855 It requires a systematic understanding of how lasting 375 00:25:09,914 --> 00:25:11,859 change happens in organisations. 376 00:25:13,545 --> 00:25:18,230 The nine essential elements Just as Six Sigma transformed 377 00:25:18,350 --> 00:25:21,998 manufacturing and quality management in the industrial era 378 00:25:21,998 --> 00:25:26,535 , brain state intelligence will revolutionise human performance 379 00:25:26,755 --> 00:25:27,596 in the AI era. 380 00:25:27,596 --> 00:25:32,937 While Six Sigma optimised production processes, our nine 381 00:25:33,526 --> 00:25:37,874 interconnected factors optimise something even more fundamental 382 00:25:38,676 --> 00:25:42,411 how human brains function alongside AI technology. 383 00:25:42,411 --> 00:25:47,003 Creating this brain state transformation requires 384 00:25:47,063 --> 00:25:51,003 understanding these nine factors that behavioural science shows 385 00:25:51,063 --> 00:25:52,609 drive sustainable change. 386 00:25:52,609 --> 00:25:55,818 These factors work together like an orchestra. 387 00:25:55,818 --> 00:26:00,691 Each instrument matters, but the real magic happens when they 388 00:26:00,691 --> 00:26:01,692 play in harmony. 389 00:26:01,692 --> 00:26:05,707 Here are the nine factors from our proprietary system. 390 00:26:05,707 --> 00:26:09,034 I first introduced these in chapter 23. 391 00:26:10,497 --> 00:26:10,596 1. 392 00:26:10,596 --> 00:26:15,606 Brain State Optimization Creating Environments when 393 00:26:15,647 --> 00:26:19,132 People Can Maintain Optimal Cognitive States. 394 00:26:19,132 --> 00:26:20,515 2. 395 00:26:20,515 --> 00:26:26,108 Habit Mechanic Mindset– Cultivating Belief in Continuous 396 00:26:26,108 --> 00:26:26,729 Improvement. 397 00:26:26,729 --> 00:26:28,612 3. 398 00:26:28,612 --> 00:26:33,460 Tiny change factor making transformation manageable. 399 00:26:33,460 --> 00:26:35,105 4. 400 00:26:35,105 --> 00:26:40,856 Personal motivation connecting small changes to bigger personal 401 00:26:40,856 --> 00:26:42,199 and professional goals. 402 00:26:42,199 --> 00:26:43,987 5. 403 00:26:43,987 --> 00:26:48,863 Personal knowledge and skills building individual capabilities 404 00:26:48,863 --> 00:26:48,863 . 405 00:26:48,863 --> 00:26:51,068 Personal knowledge and skills Building individual capabilities 406 00:26:51,068 --> 00:26:51,068 . 407 00:26:51,068 --> 00:26:51,490 6. 408 00:26:51,490 --> 00:26:56,906 Community knowledge Developing shared practices. 409 00:26:56,906 --> 00:26:57,307 7. 410 00:26:57,307 --> 00:27:01,410 Social influence Leveraging natural behaviour spread. 411 00:27:01,410 --> 00:27:02,651 8. 412 00:27:02,651 --> 00:27:07,654 Rewards and penalties Aligning incentive systems with desired 413 00:27:07,695 --> 00:27:08,235 behaviours. 414 00:27:08,235 --> 00:27:10,017 9. 415 00:27:10,017 --> 00:27:14,680 External triggers Designing supportive environments that 416 00:27:14,720 --> 00:27:16,842 remind people how to be their best. 417 00:27:21,614 --> 00:27:22,599 Building systematic change. 418 00:27:22,599 --> 00:27:24,631 Creating a brain state intelligent culture requires 419 00:27:24,651 --> 00:27:28,288 careful integration of all nine factors into daily 420 00:27:28,449 --> 00:27:29,714 organisational practices. 421 00:27:29,714 --> 00:27:33,770 This isn't about implementing isolated initiatives. 422 00:27:33,770 --> 00:27:38,628 It's about building reinforcing cycles where each improvement 423 00:27:38,929 --> 00:27:39,891 strengthens the others. 424 00:27:39,891 --> 00:27:44,913 Organisations that master this systematic approach will achieve 425 00:27:44,913 --> 00:27:48,931 breakthrough results, just as Six Sigma became the gold 426 00:27:48,971 --> 00:27:51,336 standard for manufacturing excellence. 427 00:27:52,946 --> 00:27:56,773 Looking forward, the AI revolution presents every 428 00:27:56,833 --> 00:28:00,606 organisation with a choice Optimise how your people work 429 00:28:00,688 --> 00:28:04,740 alongside these powerful tools or risk falling behind those who 430 00:28:04,740 --> 00:28:04,961 do. 431 00:28:04,961 --> 00:28:09,134 Leading organisations are already building brain state 432 00:28:09,173 --> 00:28:12,528 intelligent cultures, setting new standards for what's 433 00:28:12,587 --> 00:28:16,677 possible when human potential and technological capability 434 00:28:17,017 --> 00:28:17,899 work in harmony. 435 00:28:17,899 --> 00:28:23,076 The question isn't whether your organisation will need to make 436 00:28:23,096 --> 00:28:23,798 this transition. 437 00:28:23,798 --> 00:28:28,893 The question is will you be among the pioneers who lead this 438 00:28:28,893 --> 00:28:33,587 change and create an insurmountable lead, or will you 439 00:28:33,587 --> 00:28:34,430 get left behind? 440 00:28:34,430 --> 00:28:36,093 I hope you. 441 00:28:36,294 --> 00:28:43,169 I hope you found the chapter and the the mini series on how to 442 00:28:43,209 --> 00:28:46,251 become a human ai coach interesting and hopefully 443 00:28:46,292 --> 00:28:47,033 inspirational. 444 00:28:47,033 --> 00:28:53,499 I know the idea of becoming a coach is very attractive to many 445 00:28:53,499 --> 00:28:56,642 people, but for different reasons, people don't go there 446 00:28:56,682 --> 00:28:56,902 with it. 447 00:28:56,902 --> 00:29:06,773 But I just think that the AI revolution represents a 448 00:29:06,793 --> 00:29:10,560 particularly interesting point in history where there's going 449 00:29:10,580 --> 00:29:15,308 to be a bigger demand than possibly any other time in 450 00:29:15,349 --> 00:29:20,718 history for not just coaches, but people that can help others 451 00:29:20,778 --> 00:29:23,250 to optimize their cognitive performance, in other words, a 452 00:29:23,289 --> 00:29:25,277 human ai becoming a human ai coach. 453 00:29:25,277 --> 00:29:30,171 So if you are interested in training to become a human, 454 00:29:30,792 --> 00:29:32,536 human ai coach, get in touch. 455 00:29:32,536 --> 00:29:33,686 We can help you to do that. 456 00:29:33,686 --> 00:29:37,375 If you're interested in what this might look like in your 457 00:29:37,414 --> 00:29:38,698 business, get in touch. 458 00:29:38,698 --> 00:29:40,169 We can have a conversation about that. 459 00:29:40,169 --> 00:29:45,324 And then, of course, we will continue to talk about train 460 00:29:45,344 --> 00:29:48,250 your brain for the ai revolution and everything connected to 461 00:29:48,291 --> 00:29:50,778 that in coming podcasts. 462 00:29:53,666 --> 00:29:55,673 This period of history is nothing to be scared about. 463 00:29:55,673 --> 00:30:02,006 The key always is is to control the controllables, and the 464 00:30:02,046 --> 00:30:05,295 thing that we can all control is getting better at managing our 465 00:30:05,355 --> 00:30:06,177 own brain states. 466 00:30:06,177 --> 00:30:08,509 And if it's appealing to you and you like that, you can also 467 00:30:08,529 --> 00:30:09,977 start to practice helping others to get better at managing their 468 00:30:09,977 --> 00:30:10,238 brain states. 469 00:30:10,238 --> 00:30:11,543 And if it's appealing to you and you like that, you can also 470 00:30:11,564 --> 00:30:13,970 start to practice helping others to get better at managing their 471 00:30:13,970 --> 00:30:17,448 brain states, and you can build a thriving business out of that 472 00:30:17,448 --> 00:30:20,741 , or you can just help others in the business that you're 473 00:30:20,762 --> 00:30:23,849 currently working to improve their their cognitive 474 00:30:23,890 --> 00:30:24,411 performance. 475 00:30:24,411 --> 00:30:27,216 So that's all from me for now. 476 00:30:27,216 --> 00:30:31,711 If you're like me, you'll probably re-listen to the three 477 00:30:31,751 --> 00:30:33,767 episodes, because that's what I like to do, just to make sure 478 00:30:33,787 --> 00:30:35,832 that I'm absorbing everything. 479 00:30:35,832 --> 00:30:41,735 But again, remember, if you want to listen to the full book 480 00:30:42,065 --> 00:30:44,507 Train your Brain for the AI Revolution, you can do that for 481 00:30:44,547 --> 00:30:48,826 free inside the Hammond Mechanic University app and it's 482 00:30:48,865 --> 00:30:52,658 available on most mainstream audiobook platforms. 483 00:30:52,658 --> 00:30:54,683 Enjoy the rest of your day.