1 00:00:21,213 --> 00:00:22,637 Speaker 1: Hello, habit Mechanics. 2 00:00:22,637 --> 00:00:23,760 It's Dr John Finn here. 3 00:00:23,760 --> 00:00:29,588 I hope you're having I hope you can hear those birds singing 4 00:00:29,609 --> 00:00:29,929 behind me. 5 00:00:29,929 --> 00:00:32,539 I hope you're having a great week so far. 6 00:00:32,539 --> 00:00:36,929 So I'm walking to work, so I thought I'd do a quick pod. 7 00:00:37,492 --> 00:00:45,073 Now what I want to talk about is human AI teams, so that is, 8 00:00:45,134 --> 00:00:48,960 teams made up of humans and machines. 9 00:00:48,960 --> 00:00:56,079 It's not humans being replaced by machines, it's humans being 10 00:00:56,198 --> 00:00:57,801 supported by machines. 11 00:00:57,801 --> 00:01:04,039 Just in the same way that the Industrial Revolution supported 12 00:01:04,700 --> 00:01:10,899 manual labour, we now have machines that can support 13 00:01:10,998 --> 00:01:12,141 cognitive labour. 14 00:01:12,141 --> 00:01:18,614 And this is what I see is emerging People who are getting 15 00:01:18,895 --> 00:01:22,710 success from AI technologies, and some are. 16 00:01:22,710 --> 00:01:25,680 If you just look at some of the testimonies we we're getting 17 00:01:25,699 --> 00:01:28,888 from the people we're working with, they are getting seismic 18 00:01:28,929 --> 00:01:34,739 advantages or the other people that are not either using AI 19 00:01:34,778 --> 00:01:37,764 technologies or or getting the most out of them. 20 00:01:37,764 --> 00:01:45,397 And what's actually happening here is that the people and the 21 00:01:45,437 --> 00:01:49,042 businesses that are getting success, they're not just buying 22 00:01:49,042 --> 00:01:53,167 a tool or an AI bot or an AI system. 23 00:01:53,167 --> 00:02:02,776 They are actually creating human AI teams and again, it's 24 00:02:02,795 --> 00:02:06,776 for the individual as well, so you can create your own human AI 25 00:02:06,776 --> 00:02:07,397 team. 26 00:02:07,397 --> 00:02:11,073 So I have my own human AI team. 27 00:02:11,073 --> 00:02:14,760 I use AI technologies daily and they're like team members. 28 00:02:14,760 --> 00:02:21,002 They can do the tasks that I would otherwise pay humans to do 29 00:02:21,002 --> 00:02:25,169 , but they help me to do things more efficiently and effectively 30 00:02:25,169 --> 00:02:31,081 in a way that helps me to grow my business and help others to 31 00:02:31,121 --> 00:02:32,544 do well and create growth. 32 00:02:32,544 --> 00:02:42,658 So these machines they are not a threat, they are not a 33 00:02:42,698 --> 00:02:43,399 competitor. 34 00:02:43,399 --> 00:02:48,326 They are a team member, and the way that we harness the power 35 00:02:48,728 --> 00:02:52,330 of human AI teams is through human AI performance psychology 36 00:02:52,914 --> 00:02:56,182 the new field of psychology we've created and we are 37 00:02:56,243 --> 00:02:57,673 pioneering now. 38 00:02:59,521 --> 00:03:03,216 I've not heard anyone else talk about it in these terms, but I 39 00:03:03,276 --> 00:03:10,717 think this is the way forwards and the foundations of my 40 00:03:10,736 --> 00:03:14,462 professional career began in elite sport and predominantly 41 00:03:14,503 --> 00:03:18,617 team sports, and I was very fortunate to be able to work 42 00:03:19,900 --> 00:03:25,057 with a professional football team, and I was 24 years old, I 43 00:03:25,098 --> 00:03:26,882 was working on the first team staff. 44 00:03:26,882 --> 00:03:33,225 I was in there making, contributing to selection 45 00:03:33,266 --> 00:03:36,355 decisions and everything else that goes on when you're part of 46 00:03:36,355 --> 00:03:41,456 that senior group, or the leadership group, if you like. 47 00:03:41,456 --> 00:03:46,127 So I was in a position where, beyond my years and I was really 48 00:03:46,127 --> 00:03:51,492 lucky and part of that, part of the interesting thing with one 49 00:03:51,513 --> 00:03:55,634 of those teams, a football team I worked for is we won the 50 00:03:55,674 --> 00:03:59,200 league title, won the league one title, english professional 51 00:03:59,219 --> 00:04:05,194 football by spending, if my memory's right, 54% less on 52 00:04:05,235 --> 00:04:14,105 player wages than the teams that came second and third, you know 53 00:04:14,105 --> 00:04:14,445 , on average. 54 00:04:14,445 --> 00:04:26,522 So we were able to essentially get much more out of our talent 55 00:04:26,543 --> 00:04:29,367 pool and that really and it was actually a UK record for the 56 00:04:30,670 --> 00:04:31,993 that season we broke the UK record for the least amount of 57 00:04:32,014 --> 00:04:34,081 money spent for the most amount of league points gained. 58 00:04:34,081 --> 00:04:42,603 That was one of their big four do like a quite an in-depth 59 00:04:42,663 --> 00:04:48,817 analysis of of football in the UK and that's what the numbers 60 00:04:48,918 --> 00:04:49,740 that emerged were. 61 00:04:49,740 --> 00:04:55,112 So we were really doing something special as a team and 62 00:04:55,153 --> 00:04:58,680 I just got fascinated by that and I thought what is going on 63 00:04:58,759 --> 00:05:00,864 here, how are we able to do this ? 64 00:05:00,864 --> 00:05:05,860 And that sparked my PhD work, just looking at one aspect of 65 00:05:05,900 --> 00:05:09,533 that, which was how we were a developing talent. 66 00:05:09,533 --> 00:05:15,382 But it also led to the development of our leadership 67 00:05:15,423 --> 00:05:18,235 models, a spark of the development for that and our 68 00:05:18,275 --> 00:05:19,959 team models, our team power model. 69 00:05:19,959 --> 00:05:24,656 So I've been thinking about teams for a long time in my 70 00:05:24,697 --> 00:05:28,519 professional life and you know, going backwards from that, I've 71 00:05:28,560 --> 00:05:31,069 been part of sports teams since I can remember. 72 00:05:31,069 --> 00:05:35,805 You know whether it was playing football in the park or, you 73 00:05:35,824 --> 00:05:43,367 know, playing rugby or cricket or football or for different 74 00:05:43,387 --> 00:05:45,292 teams, and then you know through to university, et cetera. 75 00:05:45,292 --> 00:05:51,583 So, and I played decent level amateur sport and I play decent 76 00:05:51,663 --> 00:05:59,412 level amateur sport, so I really have a deep knowledge of teams 77 00:05:59,872 --> 00:06:09,646 and what makes them work, and I think that this is the right 78 00:06:10,309 --> 00:06:11,733 approach to take. 79 00:06:11,752 --> 00:06:16,982 With AI, it's a human AI team and the AI is a team member and 80 00:06:17,002 --> 00:06:18,125 it can help you to do your job more effectively. 81 00:06:18,125 --> 00:06:24,506 And again, we can do this at the individual level, so you can 82 00:06:24,506 --> 00:06:25,268 have your own team. 83 00:06:25,268 --> 00:06:29,562 And if you go you know, if you go backwards people have in 84 00:06:29,602 --> 00:06:34,072 history and even right now, although AI is disrupting this a 85 00:06:34,072 --> 00:06:36,626 little bit people have been hiring virtual assistants now 86 00:06:36,665 --> 00:06:38,651 for maybe 10 years. 87 00:06:38,651 --> 00:06:41,667 So it's the same kind of thing that AI can do a lot of what 88 00:06:41,727 --> 00:06:44,725 virtual assistants used to do and that frees up the virtual 89 00:06:44,745 --> 00:06:45,989 assistants to do something else. 90 00:06:45,989 --> 00:06:51,201 But you can do it at the individual level, so you can 91 00:06:51,221 --> 00:06:54,245 have your own human AI team and you can get seismic results, 92 00:06:55,028 --> 00:06:55,670 like we're seeing. 93 00:06:55,670 --> 00:06:59,550 But also at work, you can build . 94 00:06:59,550 --> 00:07:03,422 The priority should be to build human AI teams and if you look 95 00:07:03,442 --> 00:07:06,211 at the data on organisations. 96 00:07:06,211 --> 00:07:10,324 The last big set of data I saw on this was by, I think, the 97 00:07:10,364 --> 00:07:15,905 Boston Research Group, and they cited in their research that 98 00:07:17,266 --> 00:07:21,254 about 74% of businesses that are spending significant money on 99 00:07:21,353 --> 00:07:23,105 AI, they're not getting any real returns. 100 00:07:23,105 --> 00:07:29,269 And again, if you dig down into it, it's because humans and AI 101 00:07:29,310 --> 00:07:31,655 are not collaborating well. 102 00:07:31,655 --> 00:07:37,477 It's because humans and I are not collaborating well. 103 00:07:40,220 --> 00:07:41,245 Now, that's always been a problem in digital 104 00:07:41,266 --> 00:07:43,680 transformation, where someone says you buy this digital system 105 00:07:43,680 --> 00:07:46,983 and it's going to revolutionise your business and invariably it 106 00:07:46,983 --> 00:07:48,369 doesn't work out quite like that. 107 00:07:48,369 --> 00:07:51,504 Businesses, you know, sometimes get there eventually. 108 00:07:51,504 --> 00:07:52,685 It doesn't work out quite like that. 109 00:07:52,685 --> 00:07:53,706 Businesses sometimes get there eventually. 110 00:07:53,706 --> 00:07:56,050 Just, the PC took a long time to get to become effectively 111 00:07:56,131 --> 00:07:57,754 used in organisations, for example. 112 00:07:57,754 --> 00:08:00,721 But I think AI is different. 113 00:08:00,721 --> 00:08:01,865 It isn't just. 114 00:08:01,865 --> 00:08:08,018 It isn't just a digital tool, it's like a team member. 115 00:08:08,906 --> 00:08:12,982 So I also think we need to move away from talking about digital 116 00:08:13,002 --> 00:08:19,326 transformation and start talking about team transformation and, 117 00:08:19,346 --> 00:08:24,477 of course, the currency of team transformation is human high 118 00:08:24,516 --> 00:08:27,400 performance, psychology and the thing that underpins that is 119 00:08:27,439 --> 00:08:28,365 brain state management. 120 00:08:28,365 --> 00:08:36,241 So I think to unlock the benefits or to scale the 121 00:08:36,281 --> 00:08:38,206 benefits of ai because many people are unlocking the 122 00:08:38,245 --> 00:08:53,933 benefits and you're forming a human AI team and it helps you 123 00:08:53,973 --> 00:08:54,795 to move faster. 124 00:08:54,795 --> 00:08:58,484 If we use our snowmobile metaphor, it's like you're on 125 00:08:58,504 --> 00:09:02,173 the snowmobile, the tech is your snowmobile the AI and it's 126 00:09:02,193 --> 00:09:04,789 helping you to move faster up the mountain towards your goals. 127 00:09:04,789 --> 00:09:08,504 And I think that's going to be a really helpful starting point 128 00:09:10,069 --> 00:09:14,765 to just start creating a better narrative around ourselves and 129 00:09:14,785 --> 00:09:20,331 the journeys that we're going on , but also about what the AI 130 00:09:20,371 --> 00:09:23,498 tools can actually bring to our lives. 131 00:09:23,498 --> 00:09:28,423 That we're seeing in our own lives, but also our customers 132 00:09:28,463 --> 00:09:28,664 lives. 133 00:09:29,466 --> 00:09:31,652 But the key is brain state management. 134 00:09:31,652 --> 00:09:32,715 We can't get away from that. 135 00:09:32,715 --> 00:09:35,473 That is the thing that's going to unlock all of this. 136 00:09:35,473 --> 00:09:40,360 So I hope that was interesting. 137 00:09:40,360 --> 00:09:41,384 It got you thinking. 138 00:09:41,384 --> 00:09:45,373 My mind's racing with ideas around this now. 139 00:09:45,373 --> 00:09:50,429 I think it's really exciting. 140 00:09:50,449 --> 00:09:56,331 So you know, maybe as a quick exercise, just start thinking 141 00:09:56,351 --> 00:09:59,044 about your little team that you've got just for yourself. 142 00:09:59,044 --> 00:10:02,034 You know, even if you've got like a new iPhone, for example, 143 00:10:02,826 --> 00:10:04,644 that's just it's not a passive device anymore. 144 00:10:04,644 --> 00:10:11,247 It's got generative ai built into it, for example, and other 145 00:10:11,588 --> 00:10:13,473 uh ai features. 146 00:10:13,473 --> 00:10:17,604 So these things are becoming like team members, these 147 00:10:17,704 --> 00:10:23,331 technologies, and just have a list and maybe think about some 148 00:10:23,351 --> 00:10:26,335 of the other tasks that you do every day you may not like doing 149 00:10:26,335 --> 00:10:26,335 . 150 00:10:26,335 --> 00:10:31,521 Is there a another ai you can employ to help you to do that 151 00:10:31,601 --> 00:10:35,908 task more efficiently and effectively, so that you don't 152 00:10:35,948 --> 00:10:37,431 have to do the work that you don't want to do? 153 00:10:37,431 --> 00:10:43,149 You can focus on the work that makes you happy, and if you're 154 00:10:43,169 --> 00:10:45,052 interested in the happiness equation, you can check out 155 00:10:45,894 --> 00:10:50,226 chapter seven of train your brain for the higher revolution. 156 00:10:50,226 --> 00:10:52,991 So enough from it, from me. 157 00:10:52,991 --> 00:10:58,105 Enjoy the rest of your day and remember you're only ever one 158 00:10:58,786 --> 00:11:00,107 brain state habit away.