1 00:00:01,284 --> 00:00:02,708 Speaker 1: Hello, habit Mechanics. 2 00:00:02,708 --> 00:00:03,830 It's Dr John Finn here. 3 00:00:03,830 --> 00:00:09,659 I hope you're having I hope you can hear those birds singing 4 00:00:09,679 --> 00:00:10,000 behind me. 5 00:00:10,000 --> 00:00:12,608 I hope you're having a great week so far. 6 00:00:12,608 --> 00:00:17,000 So I'm walking to work, so I thought I'd do a quick pod. 7 00:00:17,562 --> 00:00:25,143 Now what I want to talk about is human AI teams, so that is, 8 00:00:25,204 --> 00:00:29,030 teams made up of humans and machines. 9 00:00:29,030 --> 00:00:36,149 It's not humans being replaced by machines, it's humans being 10 00:00:36,268 --> 00:00:37,871 supported by machines. 11 00:00:37,871 --> 00:00:44,109 Just in the same way that the Industrial Revolution supported 12 00:00:44,770 --> 00:00:50,969 manual labour, we now have machines that can support 13 00:00:51,069 --> 00:00:52,212 cognitive labour. 14 00:00:52,212 --> 00:00:58,683 And this is what I see is emerging People who are getting 15 00:00:58,965 --> 00:01:02,780 success from AI technologies, and some are. 16 00:01:02,780 --> 00:01:05,750 If you just look at some of the testimonies we we're getting 17 00:01:05,769 --> 00:01:08,957 from the people we're working with, they are getting seismic 18 00:01:08,998 --> 00:01:14,808 advantages or the other people that are not either using AI 19 00:01:14,849 --> 00:01:17,834 technologies or or getting the most out of them. 20 00:01:17,834 --> 00:01:25,468 And what's actually happening here is that the people and the 21 00:01:25,507 --> 00:01:29,111 businesses that are getting success, they're not just buying 22 00:01:29,111 --> 00:01:33,236 a tool or an AI bot or an AI system. 23 00:01:33,236 --> 00:01:42,846 They are actually creating human AI teams and again, it's 24 00:01:42,865 --> 00:01:46,846 for the individual as well, so you can create your own human AI 25 00:01:46,846 --> 00:01:47,468 team. 26 00:01:47,468 --> 00:01:51,143 So I have my own human AI team. 27 00:01:51,143 --> 00:01:54,831 I use AI technologies daily and they're like team members. 28 00:01:54,831 --> 00:02:01,072 They can do the tasks that I would otherwise pay humans to do 29 00:02:01,072 --> 00:02:05,239 , but they help me to do things more efficiently and effectively 30 00:02:05,239 --> 00:02:11,151 in a way that helps me to grow my business and help others to 31 00:02:11,191 --> 00:02:12,614 do well and create growth. 32 00:02:12,614 --> 00:02:22,728 So these machines they are not a threat, they are not a 33 00:02:22,768 --> 00:02:23,468 competitor. 34 00:02:23,468 --> 00:02:28,396 They are a team member, and the way that we harness the power 35 00:02:28,798 --> 00:02:32,400 of human AI teams is through human AI performance psychology 36 00:02:32,984 --> 00:02:36,252 the new field of psychology we've created and we are 37 00:02:36,313 --> 00:02:37,742 pioneering now. 38 00:02:39,591 --> 00:02:43,286 I've not heard anyone else talk about it in these terms, but I 39 00:02:43,346 --> 00:02:50,787 think this is the way forwards and the foundations of my 40 00:02:50,806 --> 00:02:54,532 professional career began in elite sport and predominantly 41 00:02:54,573 --> 00:02:58,687 team sports, and I was very fortunate to be able to work 42 00:02:59,969 --> 00:03:05,127 with a professional football team, and I was 24 years old, I 43 00:03:05,168 --> 00:03:06,951 was working on the first team staff. 44 00:03:06,951 --> 00:03:13,295 I was in there making, contributing to selection 45 00:03:13,336 --> 00:03:16,425 decisions and everything else that goes on when you're part of 46 00:03:16,425 --> 00:03:21,526 that senior group, or the leadership group, if you like. 47 00:03:21,526 --> 00:03:26,197 So I was in a position where, beyond my years and I was really 48 00:03:26,197 --> 00:03:31,562 lucky and part of that, part of the interesting thing with one 49 00:03:31,582 --> 00:03:35,704 of those teams, a football team I worked for is we won the 50 00:03:35,743 --> 00:03:39,270 league title, won the league one title, english professional 51 00:03:39,289 --> 00:03:45,264 football by spending, if my memory's right, 54% less on 52 00:03:45,305 --> 00:03:54,175 player wages than the teams that came second and third, you know 53 00:03:54,175 --> 00:03:54,515 , on average. 54 00:03:54,515 --> 00:04:06,592 So we were able to essentially get much more out of our talent 55 00:04:06,612 --> 00:04:09,437 pool and that really and it was actually a UK record for the 56 00:04:10,740 --> 00:04:12,063 that season we broke the UK record for the least amount of 57 00:04:12,085 --> 00:04:14,151 money spent for the most amount of league points gained. 58 00:04:14,151 --> 00:04:22,673 That was one of their big four do like a quite an in-depth 59 00:04:22,733 --> 00:04:28,887 analysis of of football in the UK and that's what the numbers 60 00:04:28,987 --> 00:04:29,810 that emerged were. 61 00:04:29,810 --> 00:04:35,182 So we were really doing something special as a team and 62 00:04:35,223 --> 00:04:38,750 I just got fascinated by that and I thought what is going on 63 00:04:38,829 --> 00:04:40,934 here, how are we able to do this ? 64 00:04:40,934 --> 00:04:45,930 And that sparked my PhD work, just looking at one aspect of 65 00:04:45,970 --> 00:04:49,603 that, which was how we were a developing talent. 66 00:04:49,603 --> 00:04:55,452 But it also led to the development of our leadership 67 00:04:55,492 --> 00:04:58,305 models, a spark of the development for that and our 68 00:04:58,345 --> 00:05:00,029 team models, our team power model. 69 00:05:00,029 --> 00:05:04,725 So I've been thinking about teams for a long time in my 70 00:05:04,766 --> 00:05:08,589 professional life and you know, going backwards from that, I've 71 00:05:08,630 --> 00:05:11,139 been part of sports teams since I can remember. 72 00:05:11,139 --> 00:05:15,875 You know whether it was playing football in the park or, you 73 00:05:15,894 --> 00:05:23,437 know, playing rugby or cricket or football or for different 74 00:05:23,456 --> 00:05:25,362 teams, and then you know through to university, et cetera. 75 00:05:25,362 --> 00:05:31,653 So, and I played decent level amateur sport and I play decent 76 00:05:31,733 --> 00:05:39,482 level amateur sport, so I really have a deep knowledge of teams 77 00:05:39,942 --> 00:05:49,716 and what makes them work, and I think that this is the right 78 00:05:50,379 --> 00:05:51,802 approach to take. 79 00:05:51,822 --> 00:05:57,052 With AI, it's a human AI team and the AI is a team member and 80 00:05:57,072 --> 00:05:58,194 it can help you to do your job more effectively. 81 00:05:58,194 --> 00:06:04,576 And again, we can do this at the individual level, so you can 82 00:06:04,576 --> 00:06:05,338 have your own team. 83 00:06:05,338 --> 00:06:09,632 And if you go you know, if you go backwards people have in 84 00:06:09,672 --> 00:06:14,141 history and even right now, although AI is disrupting this a 85 00:06:14,141 --> 00:06:16,696 little bit people have been hiring virtual assistants now 86 00:06:16,735 --> 00:06:18,721 for maybe 10 years. 87 00:06:18,721 --> 00:06:21,737 So it's the same kind of thing that AI can do a lot of what 88 00:06:21,797 --> 00:06:24,795 virtual assistants used to do and that frees up the virtual 89 00:06:24,814 --> 00:06:26,059 assistants to do something else. 90 00:06:26,059 --> 00:06:31,271 But you can do it at the individual level, so you can 91 00:06:31,291 --> 00:06:34,314 have your own human AI team and you can get seismic results, 92 00:06:35,098 --> 00:06:35,740 like we're seeing. 93 00:06:35,740 --> 00:06:39,620 But also at work, you can build . 94 00:06:39,620 --> 00:06:43,492 The priority should be to build human AI teams and if you look 95 00:06:43,512 --> 00:06:46,281 at the data on organisations. 96 00:06:46,281 --> 00:06:50,394 The last big set of data I saw on this was by, I think, the 97 00:06:50,434 --> 00:06:55,975 Boston Research Group, and they cited in their research that 98 00:06:57,336 --> 00:07:01,324 about 74% of businesses that are spending significant money on 99 00:07:01,423 --> 00:07:03,175 AI, they're not getting any real returns. 100 00:07:03,175 --> 00:07:09,339 And again, if you dig down into it, it's because humans and AI 101 00:07:09,379 --> 00:07:11,725 are not collaborating well. 102 00:07:11,725 --> 00:07:17,547 It's because humans and I are not collaborating well. 103 00:07:20,290 --> 00:07:21,315 Now, that's always been a problem in digital 104 00:07:21,336 --> 00:07:23,750 transformation, where someone says you buy this digital system 105 00:07:23,750 --> 00:07:27,053 and it's going to revolutionise your business and invariably it 106 00:07:27,053 --> 00:07:28,439 doesn't work out quite like that. 107 00:07:28,439 --> 00:07:31,574 Businesses, you know, sometimes get there eventually. 108 00:07:31,574 --> 00:07:32,754 It doesn't work out quite like that. 109 00:07:32,754 --> 00:07:33,776 Businesses sometimes get there eventually. 110 00:07:33,776 --> 00:07:36,120 Just, the PC took a long time to get to become effectively 111 00:07:36,201 --> 00:07:37,824 used in organisations, for example. 112 00:07:37,824 --> 00:07:40,791 But I think AI is different. 113 00:07:40,791 --> 00:07:41,935 It isn't just. 114 00:07:41,935 --> 00:07:48,088 It isn't just a digital tool, it's like a team member. 115 00:07:48,975 --> 00:07:53,052 So I also think we need to move away from talking about digital 116 00:07:53,072 --> 00:07:59,396 transformation and start talking about team transformation and, 117 00:07:59,415 --> 00:08:04,547 of course, the currency of team transformation is human high 118 00:08:04,586 --> 00:08:07,470 performance, psychology and the thing that underpins that is 119 00:08:07,509 --> 00:08:08,435 brain state management. 120 00:08:08,435 --> 00:08:16,312 So I think to unlock the benefits or to scale the 121 00:08:16,351 --> 00:08:18,276 benefits of ai because many people are unlocking the 122 00:08:18,315 --> 00:08:34,004 benefits and you're forming a human AI team and it helps you 123 00:08:34,043 --> 00:08:34,865 to move faster. 124 00:08:34,865 --> 00:08:38,554 If we use our snowmobile metaphor, it's like you're on 125 00:08:38,575 --> 00:08:42,244 the snowmobile, the tech is your snowmobile the AI and it's 126 00:08:42,264 --> 00:08:44,860 helping you to move faster up the mountain towards your goals. 127 00:08:44,860 --> 00:08:48,575 And I think that's going to be a really helpful starting point 128 00:08:50,139 --> 00:08:54,836 to just start creating a better narrative around ourselves and 129 00:08:54,855 --> 00:09:00,402 the journeys that we're going on , but also about what the AI 130 00:09:00,442 --> 00:09:03,568 tools can actually bring to our lives. 131 00:09:03,568 --> 00:09:08,494 That we're seeing in our own lives, but also our customers 132 00:09:08,533 --> 00:09:08,735 lives. 133 00:09:09,537 --> 00:09:11,722 But the key is brain state management. 134 00:09:11,722 --> 00:09:12,785 We can't get away from that. 135 00:09:12,785 --> 00:09:15,543 That is the thing that's going to unlock all of this. 136 00:09:15,543 --> 00:09:20,431 So I hope that was interesting. 137 00:09:20,431 --> 00:09:21,455 It got you thinking. 138 00:09:21,455 --> 00:09:25,443 My mind's racing with ideas around this now. 139 00:09:25,443 --> 00:09:30,500 I think it's really exciting. 140 00:09:30,519 --> 00:09:36,402 So you know, maybe as a quick exercise, just start thinking 141 00:09:36,422 --> 00:09:39,115 about your little team that you've got just for yourself. 142 00:09:39,115 --> 00:09:42,105 You know, even if you've got like a new iPhone, for example, 143 00:09:42,897 --> 00:09:44,715 that's just it's not a passive device anymore. 144 00:09:44,715 --> 00:09:51,317 It's got generative ai built into it, for example, and other 145 00:09:51,658 --> 00:09:53,543 uh ai features. 146 00:09:53,543 --> 00:09:57,674 So these things are becoming like team members, these 147 00:09:57,774 --> 00:10:03,402 technologies, and just have a list and maybe think about some 148 00:10:03,422 --> 00:10:06,405 of the other tasks that you do every day you may not like doing 149 00:10:06,405 --> 00:10:06,405 . 150 00:10:06,405 --> 00:10:11,591 Is there a another ai you can employ to help you to do that 151 00:10:11,672 --> 00:10:15,979 task more efficiently and effectively, so that you don't 152 00:10:16,019 --> 00:10:17,501 have to do the work that you don't want to do? 153 00:10:17,501 --> 00:10:23,220 You can focus on the work that makes you happy, and if you're 154 00:10:23,240 --> 00:10:25,123 interested in the happiness equation, you can check out 155 00:10:25,964 --> 00:10:30,297 chapter seven of train your brain for the higher revolution. 156 00:10:30,297 --> 00:10:33,062 So enough from it, from me. 157 00:10:33,062 --> 00:10:38,176 Enjoy the rest of your day and remember you're only ever one 158 00:10:38,856 --> 00:10:40,177 brain state habit away.