1 00:00:00,040 --> 00:00:05,040 The final step is where you stop thinking about how do we use AI 2 00:00:05,280 --> 00:00:08,280 and instead you ask the question, how do we build the 3 00:00:08,280 --> 00:00:11,600 entire organization around AI at the center? 4 00:00:11,640 --> 00:00:14,240 How do you put AI? Make the AI the engine of your 5 00:00:14,240 --> 00:00:15,880 business. That doesn't mean that you're 6 00:00:15,880 --> 00:00:19,200 replacing people. It means you wrap people around 7 00:00:19,200 --> 00:00:22,760 that engine and they are there to steer and guide it, oversee 8 00:00:22,760 --> 00:00:24,720 it. And if you can do that, that 9 00:00:24,720 --> 00:00:27,600 unlocks so much potential instead of thinking, well, I'm 10 00:00:27,600 --> 00:00:33,320 going to grow my business by 15% next year or 20% or 25% now you 11 00:00:33,320 --> 00:00:37,760 can say I'm going to grow my business 100 percent, 1000% next 12 00:00:37,760 --> 00:00:40,640 year. Because by using AI at the core 13 00:00:40,640 --> 00:00:44,280 of your business, you're able to collapse the constraints of time 14 00:00:44,280 --> 00:00:49,240 and money and re reimagine how you go to market so you can 15 00:00:49,240 --> 00:00:51,520 start playing a different game than your competitors. 16 00:00:51,520 --> 00:00:55,160 And. Hi there, are you a professional 17 00:00:55,200 --> 00:00:59,000 or business owner teaching investors or sharing big ideas 18 00:00:59,240 --> 00:01:01,320 what your presentations just are? 19 00:01:01,320 --> 00:01:05,360 Not keeping up with your vision? That's exactly why I use Gamma 20 00:01:05,360 --> 00:01:10,360 app are proud partners. Gamma is an AI powered platform 21 00:01:10,480 --> 00:01:15,200 that helps you build beautiful decks, documents and web pages 22 00:01:15,280 --> 00:01:18,920 in just minutes. No complicated formatting, no 23 00:01:18,920 --> 00:01:22,560 design headaches, just clean modern presentations that 24 00:01:22,560 --> 00:01:25,280 communicate your ideas clearly unprofessionally. 25 00:01:25,640 --> 00:01:29,560 If you want to present like a pro, Sign up today using the 26 00:01:29,560 --> 00:01:32,720 tool stack link in the description below and start 27 00:01:32,720 --> 00:01:36,240 creating smarter with Gamma app. We are live. 28 00:01:36,240 --> 00:01:39,280 Ladies and gentlemen, you once again welcome to the Kingdom's 29 00:01:39,280 --> 00:01:43,760 podcast and diary of a CFO. And today I've got will be a 30 00:01:43,760 --> 00:01:49,680 very, very special guest fighting out of Portland OR 31 00:01:49,680 --> 00:01:56,320 Mcwalkin. This team, I feel like I'm about 32 00:01:56,320 --> 00:01:57,760 to get a. Piercing match with an 33 00:01:58,040 --> 00:02:00,920 introduction like that. Yeah, that is a fear that that 34 00:02:00,920 --> 00:02:03,480 is a Bruce Buffer introduction in the UFC. 35 00:02:03,480 --> 00:02:06,920 So I'm a very, very deep fan of the UFC and, you know, 36 00:02:06,920 --> 00:02:09,600 interesting, you know, growing up in Nigeria when I was 37 00:02:09,600 --> 00:02:12,760 younger, a lot of people thought, oh, we're competing 38 00:02:12,760 --> 00:02:16,680 this one because I was a skinny kid and then I took to martial 39 00:02:16,680 --> 00:02:20,560 arts to learn self-defense. And also interestingly, you've 40 00:02:20,560 --> 00:02:25,440 had world champions in boxing and MMA on on the podcast as 41 00:02:25,440 --> 00:02:28,360 well. So OK, we also now we have a 42 00:02:28,360 --> 00:02:32,680 champion in in in the AI space and a champion futurist. 43 00:02:32,920 --> 00:02:35,960 So sit back while I read your introduction. 44 00:02:36,360 --> 00:02:40,440 So true, Ladies and gentlemen, today's guest is someone who 45 00:02:40,440 --> 00:02:42,400 doesn't just talk about the future. 46 00:02:42,840 --> 00:02:46,400 He helps leaders build it. Steve Brown is a globally 47 00:02:46,440 --> 00:02:49,680 recognized AI futurist and formerly tech teacher. 48 00:02:49,680 --> 00:02:54,280 Google, DeepMind and Intel. He is one of the most trusting 49 00:02:54,320 --> 00:02:58,400 voices guiding organizations through the Intelligence Age. 50 00:02:58,840 --> 00:03:02,360 But over 25 years at the forefront of technology and 51 00:03:02,360 --> 00:03:06,520 innovation, Steve has advised Fortune 100 companies, 52 00:03:06,880 --> 00:03:10,920 governments, and global brands on how to turn artificial 53 00:03:10,920 --> 00:03:14,080 intelligence into real competitive advantage. 54 00:03:14,760 --> 00:03:16,720 What makes Steve different is simple. 55 00:03:16,960 --> 00:03:20,200 He does not deal in hype. He delivers clarity. 56 00:03:20,640 --> 00:03:25,400 He translates complex AI into practical strategy that leaders 57 00:03:25,400 --> 00:03:28,880 can actually use to grow, scale, and stay relevant. 58 00:03:28,880 --> 00:03:32,200 In this conversation, we go beyond buzzwords. 59 00:03:32,560 --> 00:03:36,320 We break down what AI really means with your instance, your 60 00:03:36,320 --> 00:03:41,280 career, and your future. Steve Brown, welcome again to 61 00:03:41,280 --> 00:03:44,520 the podcast. Wow, thank you. 62 00:03:44,520 --> 00:03:46,280 That was a mark. Happy to be here you're. 63 00:03:46,280 --> 00:03:47,720 Welcome. You're welcome. 64 00:03:47,720 --> 00:03:49,200 That's. Quite the intro, yeah. 65 00:03:50,280 --> 00:03:54,040 Of course, your career is a globe fool actually, so you 66 00:03:54,040 --> 00:03:56,480 deserve it. In my country, Nigeria would say 67 00:03:56,480 --> 00:03:59,520 give honor to whom honor is due. And of course, you know, it's 68 00:03:59,520 --> 00:04:01,200 very nice. Earned the stripes. 69 00:04:01,280 --> 00:04:04,320 You've earned the stripes. So let's actually go to the 70 00:04:04,320 --> 00:04:08,920 origin story and of course, you know the mindset. 71 00:04:09,640 --> 00:04:13,720 You've actually worked at the highest levels of AI innovation. 72 00:04:13,960 --> 00:04:15,480 Please take us back to the beginning. 73 00:04:15,480 --> 00:04:17,440 What just pulled you into this space? 74 00:04:17,800 --> 00:04:21,200 Back to the beginning, I've been fascinated by technology in the 75 00:04:21,200 --> 00:04:26,600 future since I was a little boy. My dad was a university lecturer 76 00:04:26,640 --> 00:04:29,040 in the 70s. I'm an age myself here and he 77 00:04:29,040 --> 00:04:33,280 would bring computers home from the office, from university and 78 00:04:33,280 --> 00:04:35,200 I got to play with them. You know, kids play with 79 00:04:35,200 --> 00:04:38,560 computers when they're quite young now, but that back then 80 00:04:38,560 --> 00:04:41,240 that was a bit unusual for a 10 year old to be, you know, 81 00:04:41,240 --> 00:04:43,440 playing around with computers. And I could see then they were 82 00:04:43,440 --> 00:04:45,280 going to change the world. And I've been fascinated with 83 00:04:45,280 --> 00:04:48,360 them ever since. I got a couple of degrees to 84 00:04:48,360 --> 00:04:50,040 learn how to make them, how to build them. 85 00:04:50,040 --> 00:04:52,960 So there was a time when I could design computer chips and 86 00:04:53,160 --> 00:04:54,960 motherboards and and write software. 87 00:04:54,960 --> 00:04:57,760 I don't do any of that now, but I've just been fascinated by the 88 00:04:57,760 --> 00:05:01,160 future and had a future orientation my entire life, and 89 00:05:01,160 --> 00:05:04,600 particularly the intersection of technology and culture. 90 00:05:04,760 --> 00:05:07,160 How does technology change the way we live our lives? 91 00:05:07,160 --> 00:05:10,040 What does it make possible and what do people want from 92 00:05:10,040 --> 00:05:13,840 technology in the future? So I became one of Intel's two 93 00:05:13,840 --> 00:05:16,320 futurists. So thinking about what the 94 00:05:16,320 --> 00:05:19,320 world's going to be like 5-10 and 15 years out from here. 95 00:05:19,960 --> 00:05:24,920 I was with Intel until 2016, and then I I realized as one of 96 00:05:24,920 --> 00:05:27,960 Intel's two futurists that Intel had a bit of a bleak future. 97 00:05:28,360 --> 00:05:30,640 Things were going to get difficult there for a while. 98 00:05:30,640 --> 00:05:33,560 So I part a company with Intel and started out as an 99 00:05:33,560 --> 00:05:37,800 independent and I've been helping businesses to figure out 100 00:05:37,800 --> 00:05:40,680 how is technology going to shape their future. 101 00:05:40,680 --> 00:05:43,760 And now more specifically, how is AI going to shape their 102 00:05:43,760 --> 00:05:46,960 future and how will they use that to become AI first 103 00:05:46,960 --> 00:05:49,640 organizations? And I took a little detour on 104 00:05:49,640 --> 00:05:52,120 the way. I got to do an assignment in 105 00:05:52,120 --> 00:05:53,680 London. I live on the West Coast as you 106 00:05:53,680 --> 00:05:56,720 mentioned, but I went back to London and recharged my British 107 00:05:56,720 --> 00:05:59,360 accent and worked for Google DeepMind for a bit. 108 00:05:59,360 --> 00:06:02,320 DeepMind is Google's AI research labs based in London. 109 00:06:02,320 --> 00:06:05,080 And one of the roles I had for them was also as their in house 110 00:06:05,080 --> 00:06:07,000 futurist. So that's. 111 00:06:07,000 --> 00:06:09,720 Far. Amazing, amazing, amazing. 112 00:06:09,920 --> 00:06:14,280 But you know at what moment or what was that aha moment that 113 00:06:14,280 --> 00:06:18,440 you realize that AI was not just another technology but a 114 00:06:18,440 --> 00:06:23,600 defining source for the future? You know, I wrote a book in 19 115 00:06:23,600 --> 00:06:27,000 and it was called The Innovation Ultimatum and it was about 6 116 00:06:27,000 --> 00:06:30,160 technologies and how they were going to reshape the world of 117 00:06:30,160 --> 00:06:32,320 business. And the biggest and the 1st 118 00:06:32,320 --> 00:06:35,120 chapter was AI because I realized that was, you know, 119 00:06:35,120 --> 00:06:39,480 outsized difference. But I would say it became really 120 00:06:39,480 --> 00:06:44,760 crystal clear for me when I was at Deep Mind in 2021, and I had 121 00:06:44,760 --> 00:06:47,160 early access to some of the stuff that they were building 122 00:06:47,160 --> 00:06:49,280 there. So I got to see the Google 123 00:06:49,280 --> 00:06:54,000 equivalent of ChatGPT before ChatGPT came out in the world in 124 00:06:54,360 --> 00:06:57,640 November 22. And was just blown away by what 125 00:06:57,640 --> 00:07:00,000 large language models could do and the potential there. 126 00:07:00,440 --> 00:07:03,480 And you know, my future's brain just shot forward and I thought 127 00:07:04,160 --> 00:07:06,400 this is going to change everything about the way we do 128 00:07:06,400 --> 00:07:08,760 work, the way that people live their lives. 129 00:07:08,800 --> 00:07:10,680 That was probably the big aha moment. 130 00:07:10,880 --> 00:07:13,720 AI has been around for 15 plus years. 131 00:07:13,720 --> 00:07:17,360 It's not like this is new new. It just it had an A smaller 132 00:07:17,360 --> 00:07:19,720 impact. Let's say it's been there to 133 00:07:19,720 --> 00:07:23,720 optimize the back offices of global business for 15 years. 134 00:07:24,000 --> 00:07:27,280 And it, you know, does patent matching and sorts data. 135 00:07:27,280 --> 00:07:30,640 But it was really that breakthrough with generative AI 136 00:07:30,640 --> 00:07:33,200 that that made me wake up and realize, oh, we're going to have 137 00:07:33,200 --> 00:07:36,120 digital employees in our lives. Robots are actually going to be 138 00:07:36,120 --> 00:07:38,360 a thing in my lifetime. This is going to change 139 00:07:38,360 --> 00:07:42,000 everything. The Gentek AI in the speed of 140 00:07:42,000 --> 00:07:45,440 the British culture as have a cup of tea. 141 00:07:45,440 --> 00:07:48,200 A cup of tea never hurt anyone, so they say. 142 00:07:48,680 --> 00:07:51,680 Being British, I'm I'm powered by tea, but I've, I've had my, 143 00:07:51,680 --> 00:07:54,720 I've had my quota for tea today, so I'm on the water now. 144 00:07:55,880 --> 00:07:59,640 OK, interesting. What disease is the most healthy 145 00:07:59,640 --> 00:08:02,640 drink on the planet? You know, so many people 146 00:08:02,640 --> 00:08:06,080 actually feel overwhelmed by AI. What might achieve separates 147 00:08:06,080 --> 00:08:09,120 those who try from those who get left behind? 148 00:08:09,720 --> 00:08:12,520 I think AI can be scary for people, either because they've 149 00:08:12,520 --> 00:08:18,000 watched The Terminator too many times or they're worried about 150 00:08:18,000 --> 00:08:20,200 being replaced by AI. It's threatening to our 151 00:08:20,200 --> 00:08:23,280 identity, but also we worry about our livelihoods and that 152 00:08:23,280 --> 00:08:26,800 maybe AI can get smart enough to replace us and do some of the 153 00:08:26,800 --> 00:08:30,000 things that we do. So I understand the fear, but I 154 00:08:30,000 --> 00:08:34,400 encourage everybody to be curious about AI, not to think 155 00:08:34,400 --> 00:08:37,919 of AI as a way to replace a task or to offload. 156 00:08:37,919 --> 00:08:42,400 But how could I partner with AI to build something either better 157 00:08:42,400 --> 00:08:45,360 than I could build on my own or to build something I could not 158 00:08:45,360 --> 00:08:48,080 build myself and to use AI as an amplifier? 159 00:08:48,080 --> 00:08:51,320 So I think that's the mindset shift is, is not seeing AI as a 160 00:08:51,320 --> 00:08:54,400 threat, but seeing, being curious about it, seeing it as 161 00:08:54,400 --> 00:08:58,880 an amplifier and then having the bold vision and the courage to 162 00:08:58,880 --> 00:09:00,640 actually use it to do something amazing. 163 00:09:02,120 --> 00:09:05,080 I love that. You know, I do have an episode 164 00:09:05,440 --> 00:09:08,680 titled Humans Best AI Next. That is the approach that I 165 00:09:08,680 --> 00:09:11,640 believe in. But a lot of people are AI 166 00:09:11,640 --> 00:09:14,960 doomsayers. Did you ever see the Speaking of 167 00:09:15,120 --> 00:09:17,280 the movies? Did you ever see the movie Ex 168 00:09:17,280 --> 00:09:19,320 Machina? Of course, say one of my 169 00:09:19,320 --> 00:09:22,320 favorites. Oh, interested that that's still 170 00:09:22,320 --> 00:09:27,080 my favorite AI movie till date. And of course, you know you've 171 00:09:27,080 --> 00:09:30,280 actually seen a lot of waves of innovation. 172 00:09:30,480 --> 00:09:34,520 What makes AI fundamentally different from everything before 173 00:09:34,520 --> 00:09:36,400 I? Think the main difference is 174 00:09:36,400 --> 00:09:41,760 that previous technologies have been ingredients or tools. 175 00:09:41,880 --> 00:09:46,560 AI can be those too, but what we're talking about is unlimited 176 00:09:46,560 --> 00:09:50,520 intelligence on demand, and that complements us in ways that 177 00:09:50,760 --> 00:09:52,360 technology has not been able to do in the past. 178 00:09:52,440 --> 00:09:54,640 That's the big difference. Amazing. 179 00:09:54,640 --> 00:10:01,720 For for me, I feel like the the speed is very, very outrageous. 180 00:10:01,720 --> 00:10:05,360 Like I have never seen any technology with this level of 181 00:10:05,360 --> 00:10:08,760 efficiency before in my lifetime, you know? 182 00:10:08,760 --> 00:10:14,400 Yeah, like that, the efficiency is outrageous. 183 00:10:14,960 --> 00:10:18,960 Is it, is it media features, you know, you know, like cutting 184 00:10:18,960 --> 00:10:22,640 through the noise is something that you are well known for, 185 00:10:22,960 --> 00:10:26,120 right. And if you had to explain AI in 186 00:10:26,120 --> 00:10:31,680 the simplest way to a founder or executive, how would you define 187 00:10:31,680 --> 00:10:33,600 it? I suppose it's the term I just 188 00:10:33,600 --> 00:10:35,040 used. It's, it's unlimited 189 00:10:35,040 --> 00:10:39,160 intelligence on demand. And what makes it so powerful is 190 00:10:39,160 --> 00:10:41,960 the cost of that intelligence is plummeting. 191 00:10:42,800 --> 00:10:46,800 So it's now cheap unlimited intelligence on. 192 00:10:46,800 --> 00:10:50,240 Extremely, extremely cheap. And of course, I think that that 193 00:10:50,240 --> 00:10:53,640 still speaks back to the efficiency, like achieving the 194 00:10:53,720 --> 00:10:57,360 highest possible outcome with the least possible of resource 195 00:10:57,360 --> 00:11:00,920 being shoot, you know, and you know, there's been a lot of 196 00:11:00,920 --> 00:11:03,840 noise in the marketplace about AI. 197 00:11:04,280 --> 00:11:08,280 But what are the biggest misconceptions about AI right 198 00:11:08,280 --> 00:11:11,080 now? I think the thing I come up with 199 00:11:11,080 --> 00:11:14,760 most when I'm working with CEOs, you know, I'll go into a 200 00:11:14,760 --> 00:11:18,080 company, I'm going to help them understand AI and the CEO will 201 00:11:18,080 --> 00:11:20,800 come over and they'll be so proud because they say, oh, 202 00:11:20,840 --> 00:11:24,000 we've, we've got a copilot license for the enterprise, 203 00:11:24,000 --> 00:11:25,440 right? We basically they're saying 204 00:11:25,680 --> 00:11:29,160 we've bought AI tools for our employees and they're so proud 205 00:11:29,160 --> 00:11:31,720 because they think that's it. That's all they have to do. 206 00:11:32,360 --> 00:11:35,480 And that's the biggest misconception because honestly, 207 00:11:35,480 --> 00:11:38,920 enabling it is, is necessary. You have to do that. 208 00:11:39,080 --> 00:11:42,280 You want to make sure that all the tools that your employees 209 00:11:42,280 --> 00:11:45,960 are using, you know, you've got the AI bells and whistles turned 210 00:11:45,960 --> 00:11:49,760 on because you want the best tools for your employees who can 211 00:11:49,760 --> 00:11:52,560 do the best work. But honestly, that's 2% of the 212 00:11:52,560 --> 00:11:55,760 effort and probably 2 to 3% of the impact. 213 00:11:56,120 --> 00:11:58,720 So it's understanding that there are steps beyond that, and there 214 00:11:58,720 --> 00:12:01,760 are two more steps you have to go through to get to the point 215 00:12:01,760 --> 00:12:04,680 where you could say we're fully utilizing AI and getting the 216 00:12:04,680 --> 00:12:07,360 biggest value from it. Interesting. 217 00:12:07,360 --> 00:12:10,640 So I'm quite curious, what are those two sets right. 218 00:12:10,640 --> 00:12:14,080 But before you give us those two steps, right, yeah. 219 00:12:14,200 --> 00:12:17,560 It's interesting that either sort of aligns with the 220 00:12:17,560 --> 00:12:20,960 philosophy of this podcast, the philosophy of this broadcasters 221 00:12:20,960 --> 00:12:25,480 mindset, skill sets, then tool sets, because the tool set is 222 00:12:25,480 --> 00:12:29,480 the last thing for you to achieve, you know, reasonable 223 00:12:29,480 --> 00:12:33,560 success in any endeavor, right? You need to get the right 224 00:12:33,560 --> 00:12:37,400 mindset, then equip yourself with the right skill set and 225 00:12:37,400 --> 00:12:39,880 then when you get equipped with the tool set. 226 00:12:40,080 --> 00:12:44,080 But I think a lot of people place a lot of premium and make 227 00:12:44,080 --> 00:12:48,120 a lot of noise about the tool sets because the tool sets are 228 00:12:48,120 --> 00:12:52,440 only as good as, you know, the human using that tool set. 229 00:12:52,720 --> 00:12:58,200 So I'd like for you to talk about the steps before adopting 230 00:12:58,200 --> 00:12:59,440 the AI tools. Yeah. 231 00:13:00,440 --> 00:13:02,120 So let me walk you through that. And then I thought I can 232 00:13:02,120 --> 00:13:04,680 actually link it back to your three steps, but in the reverse 233 00:13:04,680 --> 00:13:07,200 order. So the first step is enabling 234 00:13:07,560 --> 00:13:10,720 enable your team with AI powered tools. 235 00:13:11,880 --> 00:13:14,000 Got to be done. Necessary but insufficient. 236 00:13:14,320 --> 00:13:18,160 Step 2 is to look at every workflow you have, every 237 00:13:18,160 --> 00:13:22,200 business process that you have, break it down to tasks, and then 238 00:13:22,200 --> 00:13:25,200 ask the question, which of these tasks is still best done by a 239 00:13:25,200 --> 00:13:26,600 human? There'll be many that are. 240 00:13:27,200 --> 00:13:31,080 Which of the tasks can now be better done by an AI agent? 241 00:13:31,080 --> 00:13:34,280 And if you have a physical component to your work, a robot. 242 00:13:34,760 --> 00:13:38,360 And then how do I gracefully coordinate all of those three 243 00:13:38,360 --> 00:13:42,040 groups? So people, agents, digital 244 00:13:42,040 --> 00:13:45,320 employees and robots, how do they work together so they can 245 00:13:45,320 --> 00:13:48,200 hand off tasks to each other? How do they work effectively as 246 00:13:48,200 --> 00:13:49,880 a team? So that's really about re 247 00:13:49,880 --> 00:13:54,080 engineering your organization in your parents, maybe that skill 248 00:13:54,080 --> 00:13:58,200 set and then the final step. And, and then by the way, that's 249 00:13:58,200 --> 00:14:01,840 probably about 30% of the work and maybe 30-40 to 40% of the 250 00:14:01,840 --> 00:14:05,640 impact. The final step is where you stop 251 00:14:05,640 --> 00:14:09,600 thinking about how do we use AI and instead you ask the 252 00:14:09,600 --> 00:14:14,200 question, how do we build the entire organization around AI at 253 00:14:14,200 --> 00:14:16,840 the center? How do you put AI, make the AI 254 00:14:16,840 --> 00:14:19,800 the engine of your business. That doesn't mean that you're 255 00:14:19,800 --> 00:14:23,560 replacing people. It means you wrap people around 256 00:14:23,560 --> 00:14:27,120 that engine and they are there to steer and guide it, oversee 257 00:14:27,120 --> 00:14:29,320 it. And if you can do that, that 258 00:14:29,320 --> 00:14:32,640 unlocks so much potential. Instead of thinking, well, I'm 259 00:14:32,640 --> 00:14:38,360 going to grow my business by 15% next year or 20% or 25% now you 260 00:14:38,360 --> 00:14:43,360 can say I'm going to grow my business 100 percent, 1000% next 261 00:14:43,360 --> 00:14:46,280 year. Because by using AI at the core 262 00:14:46,280 --> 00:14:49,880 of your business, you're able to collapse the constraints of time 263 00:14:49,880 --> 00:14:55,440 and money and IT reimagine how you go to market so you can 264 00:14:55,440 --> 00:14:57,680 start playing a different game than your competitors. 265 00:14:57,680 --> 00:15:02,400 And that's probably the mindset. So tool set, skill set, mindset, 266 00:15:02,560 --> 00:15:04,040 but in that order. Just get your. 267 00:15:04,120 --> 00:15:06,640 AI tools in place get the skill set. 268 00:15:06,760 --> 00:15:09,520 Yep, exactly. Get the skill set there to be 269 00:15:09,520 --> 00:15:14,280 able to coordinate humans and machines working side by side in 270 00:15:14,280 --> 00:15:17,440 effective teams, and then eventually get the mindset of 271 00:15:17,440 --> 00:15:21,160 how do we become an AI first organization, Collapse those 272 00:15:21,160 --> 00:15:25,360 constraints and use AI to amplify our people so they 273 00:15:25,360 --> 00:15:28,200 become superhuman. Amazing, amazing. 274 00:15:28,480 --> 00:15:32,280 And you know, it's they say great minds think of life and I 275 00:15:32,280 --> 00:15:36,320 love the fact that you are able to connect with, you know, with 276 00:15:36,360 --> 00:15:39,320 our philosophy. And, you know, it's really crazy 277 00:15:39,320 --> 00:15:44,080 how a lot of organizations are now claiming to be AI native. 278 00:15:44,520 --> 00:15:48,640 We had Ron Shevlin on the podcast in the last episode. 279 00:15:48,640 --> 00:15:50,760 Ron Shevlin is actually the chief research officer of 280 00:15:50,760 --> 00:15:54,840 Cornerstone Advisors. And he was named in the top 10 281 00:15:55,120 --> 00:16:01,040 fintech influencers globally by the Fintech Magazine for 2026. 282 00:16:01,360 --> 00:16:06,520 And he expressed his displeasure at, you know, people now taking 283 00:16:07,200 --> 00:16:10,600 being AI native, like the new buzzword. 284 00:16:11,400 --> 00:16:17,760 And he also talked about how Jack Dorsey laid off 40% of the 285 00:16:17,760 --> 00:16:21,320 staff at Lock, which is formerly known as Square. 286 00:16:22,800 --> 00:16:28,840 I would like to, you know, know what your take is on CEOs, you 287 00:16:28,840 --> 00:16:35,640 know, on the C-Suite, you know, now easily replacing humans, 288 00:16:35,800 --> 00:16:42,120 right with AI back what what what is happening in the world 289 00:16:42,120 --> 00:16:44,400 to be. It just feels like the layoffs 290 00:16:44,400 --> 00:16:47,080 are really scary. And I think that's what makes a 291 00:16:47,080 --> 00:16:52,400 lot of people, you know, have that phobia for AI because it 292 00:16:52,400 --> 00:16:54,640 feels like nobody's job is safe any longer. 293 00:16:55,720 --> 00:16:58,440 So what's your? Take let's recognize first like 294 00:16:58,440 --> 00:17:02,520 that there's some yeah, there's some AI washing going on. 295 00:17:02,720 --> 00:17:06,640 You know, there are certainly some leaders who have over hired 296 00:17:06,640 --> 00:17:10,520 or, you know, they just need to cut anyway and they blame it on 297 00:17:10,520 --> 00:17:12,920 AI, right? It's a nice cover story because 298 00:17:12,920 --> 00:17:17,079 if you say, oh, we over hired and then you let people go, your 299 00:17:17,079 --> 00:17:20,319 stock price takes a hammering. These bozos don't know what 300 00:17:20,319 --> 00:17:23,160 they're doing. If you let go of people and say, 301 00:17:23,160 --> 00:17:26,640 oh, it's AI, then you get rewarded on the stock price 302 00:17:26,839 --> 00:17:29,040 because people think, oh, they're they're doing all the 303 00:17:29,040 --> 00:17:31,960 things well done, right? So there's some of that going on 304 00:17:31,960 --> 00:17:35,640 and we need to recognize that. That said, I think there are, 305 00:17:36,240 --> 00:17:39,600 there's, there's an old way of thinking and there's the right 306 00:17:39,600 --> 00:17:41,400 way of thinking. So let me talk you through what 307 00:17:41,400 --> 00:17:44,920 I mean by that 20th century thinking. 20th century advice 308 00:17:44,920 --> 00:17:48,520 would be to use AI the way we have used every other 309 00:17:48,520 --> 00:17:51,040 technology. Use it for productivity gains 310 00:17:51,240 --> 00:17:54,840 and efficiencies, save costs, all right, Get rid of some heads 311 00:17:54,840 --> 00:17:56,440 and that'll make the shareholders happy. 312 00:17:57,320 --> 00:18:00,760 And so when a new technology like AI comes along, if you're a 313 00:18:00,760 --> 00:18:04,280 seasoned leader, you think I know what to do, I'm going to 314 00:18:04,280 --> 00:18:07,880 use this for productivity, efficiency, and to lose some 315 00:18:07,880 --> 00:18:10,200 headcount. That is a absolutely the wrong 316 00:18:10,200 --> 00:18:13,520 thing to do. What you need is fresh 21st 317 00:18:13,520 --> 00:18:16,920 century thinking, which recognizes AI is different. 318 00:18:16,920 --> 00:18:22,760 Sure, you can use it to replace people, but AI is different 319 00:18:22,760 --> 00:18:26,760 because not only does it boost productivity, it can amplify 320 00:18:26,760 --> 00:18:30,760 your employees creativity, their intuition, boost their decision 321 00:18:30,760 --> 00:18:33,440 making abilities, expand their knowledge and so on. 322 00:18:33,480 --> 00:18:37,600 So what you should really be doing is finding ways to partner 323 00:18:38,160 --> 00:18:41,080 your people with machines to amplify them. 324 00:18:41,600 --> 00:18:44,760 That's what the unlock is so that you can start to grow your 325 00:18:44,760 --> 00:18:50,240 business 30% and 50% rather than, OK, let's cut some 326 00:18:50,240 --> 00:18:55,480 headcount and save some cost and let it let go of some people and 327 00:18:55,480 --> 00:18:57,560 stay at the 10% growth mark, right? 328 00:18:57,560 --> 00:19:00,480 It's, it's thinking about how do I amplify the business. 329 00:19:00,480 --> 00:19:06,720 Jensen Wong has this right. He was asked late 2024 what his 330 00:19:06,720 --> 00:19:10,240 plans were for employees and he said, oh, we've got about 32,000 331 00:19:10,480 --> 00:19:13,800 employees right now and over time we plan to grow that to 332 00:19:13,800 --> 00:19:20,440 50,000 people supported by 100 million AI assistants across 333 00:19:20,440 --> 00:19:23,160 every group. So he's thinking about workforce 334 00:19:23,160 --> 00:19:25,000 planning in a completely different way. 335 00:19:25,000 --> 00:19:29,160 He didn't say I've got 32,000 employees today and I'm going to 336 00:19:29,160 --> 00:19:32,600 reduce that to 25,000 by using lots of AI. 337 00:19:33,520 --> 00:19:36,520 He's thinking about amplifying the impact that they 338 00:19:36,520 --> 00:19:41,000 collectively have by partnering people with machines. 339 00:19:41,000 --> 00:19:42,960 And that is the right way to think about it. 340 00:19:44,360 --> 00:19:49,080 I think I I totally agree with that approach, but what would 341 00:19:49,080 --> 00:19:53,560 you say people are getting wrong about generative AI and AI 342 00:19:53,560 --> 00:19:56,440 agents? I mean, generative AI isn't just 343 00:19:56,440 --> 00:19:59,880 there to create text and images and video. 344 00:19:59,880 --> 00:20:02,880 I think generative AI can generate a lot more than that. 345 00:20:02,880 --> 00:20:06,280 So at the heart of generative AI is, is the transformer. 346 00:20:06,280 --> 00:20:07,880 That's what's in a large language model. 347 00:20:08,120 --> 00:20:11,360 That's what translates between a question and answer. 348 00:20:11,760 --> 00:20:13,360 Or a caption and an image, right? 349 00:20:13,360 --> 00:20:15,080 You think about like a translator. 350 00:20:15,880 --> 00:20:18,160 We can get much more sophisticated than that. 351 00:20:18,160 --> 00:20:21,480 There are people building generative AI to translate 352 00:20:21,480 --> 00:20:26,480 between the desired properties of the material and the 353 00:20:26,480 --> 00:20:29,600 crystalline structure of a material that has those 354 00:20:29,600 --> 00:20:32,360 properties so that we can develop new materials. 355 00:20:32,360 --> 00:20:34,640 These are the types of applications which we really 356 00:20:34,640 --> 00:20:36,680 focused on. And I think when people think 357 00:20:36,680 --> 00:20:38,600 generative AI, they're much more bounded. 358 00:20:38,840 --> 00:20:42,000 They're thinking about a chat bot, whereas in a we can find 359 00:20:42,000 --> 00:20:43,480 all of these amazing applications. 360 00:20:43,480 --> 00:20:46,840 That's probably the a big one. And when it comes to agents, 361 00:20:47,240 --> 00:20:49,520 people think of agents as just being for offload. 362 00:20:49,680 --> 00:20:53,080 So I've identified there are three types of agents, AI 363 00:20:53,080 --> 00:20:56,120 agents, offload, elevate and extend. 364 00:20:56,120 --> 00:20:59,200 Offload agents just take a task that you don't want to do and 365 00:20:59,200 --> 00:21:02,800 they handle it, right? Booking a flight or organizing a 366 00:21:02,800 --> 00:21:04,920 meeting, whatever it might be, they take the suck out of your 367 00:21:04,920 --> 00:21:07,360 job is kind of the idea of that. And most people think that 368 00:21:07,360 --> 00:21:09,320 that's the only type of agent there will be. 369 00:21:10,080 --> 00:21:12,520 But there will also be agents that elevate. 370 00:21:12,880 --> 00:21:16,640 They work in partnership with a human to elevate that person's 371 00:21:16,640 --> 00:21:19,320 performance at a task they could already do themselves, but 372 00:21:19,400 --> 00:21:20,960 they're just going to help them do it better. 373 00:21:21,720 --> 00:21:25,440 Then there are extend agents that partner with a human and 374 00:21:25,440 --> 00:21:28,800 through that partnership they enabled the human to extend 375 00:21:28,800 --> 00:21:32,520 their abilities so they can do things they could not do before, 376 00:21:33,040 --> 00:21:36,320 turning them into superhumans. So those are the things I think 377 00:21:36,320 --> 00:21:38,480 people have not really thought about with agencies. 378 00:21:38,760 --> 00:21:42,640 How do I partner them with a human so they can do more or do 379 00:21:42,640 --> 00:21:44,640 something incredible they could never have done before in their 380 00:21:44,640 --> 00:21:47,240 lives? Amazing. 381 00:21:47,240 --> 00:21:51,160 I love, I love that illustration because, you know, personally 382 00:21:51,160 --> 00:21:56,120 I've been able to, you know, use the AI agents in those three 383 00:21:56,120 --> 00:21:59,000 ways. So actually he's a home broker 384 00:21:59,200 --> 00:22:02,600 and putting you on the spot as a futurist. 385 00:22:02,880 --> 00:22:07,080 Where would you say we are in the AI revolution? 386 00:22:07,080 --> 00:22:11,160 Are we early? Are we in the mid stage or are 387 00:22:11,160 --> 00:22:14,600 we late in the AI revolution? I mean, in the grand scheme of 388 00:22:14,600 --> 00:22:19,360 things, the term AI was invented in the 50s and it's been used by 389 00:22:19,360 --> 00:22:22,000 most businesses for the last 15 years. 390 00:22:22,000 --> 00:22:26,640 So, you know, as time goes, yeah, we're probably mid, maybe 391 00:22:26,640 --> 00:22:30,520 late, but in terms of the impact, early, early, early, 392 00:22:31,000 --> 00:22:33,360 because, you know, we ain't seen nothing yet. 393 00:22:33,360 --> 00:22:37,120 We're going to be living in a world of 10 billion humanoid 394 00:22:37,120 --> 00:22:41,000 robots and probably a trillion AI agents. 395 00:22:41,400 --> 00:22:44,360 And they're going to change the way that business operates, the 396 00:22:44,360 --> 00:22:47,560 way that people live their lives, the fabric of the world 397 00:22:47,560 --> 00:22:48,840 we live in. I'll be, I'll look out the 398 00:22:48,840 --> 00:22:50,720 window and see robots walking down the street. 399 00:22:51,080 --> 00:22:55,040 The world is going to feel very different just five years from 400 00:22:55,040 --> 00:22:57,440 now. And so in that regard, we're 401 00:22:57,440 --> 00:23:00,760 still very early. Interesting, you know, and of 402 00:23:00,760 --> 00:23:03,840 course, Speaking of the impact, let's talk about the business 403 00:23:03,840 --> 00:23:06,720 impact. You have actually advised global 404 00:23:06,720 --> 00:23:10,400 organizations, What are the smartest companies doing 405 00:23:10,840 --> 00:23:14,960 differently with AI today? I mean, back to those three 406 00:23:14,960 --> 00:23:18,680 steps of enable Reengineer, reimagine, they're the ones that 407 00:23:18,680 --> 00:23:21,400 have already moved into that reengineer phase. 408 00:23:21,880 --> 00:23:26,760 They are figuring out how do my workflows change, where do where 409 00:23:26,760 --> 00:23:31,000 can I use AI alongside my people and how do I amplify my people 410 00:23:31,000 --> 00:23:33,240 using AI. They're the ones the smartest 411 00:23:33,240 --> 00:23:35,960 companies are doing that and the really the smartest ones. 412 00:23:36,280 --> 00:23:39,440 They are figuring out how do I become an AI first company, 413 00:23:39,760 --> 00:23:42,640 putting AI as the engine of the business and wrapping their 414 00:23:42,640 --> 00:23:45,040 people around it. Interesting. 415 00:23:45,160 --> 00:23:48,480 So Speaking of returning investment, what would you say 416 00:23:48,560 --> 00:23:54,160 are the highest ROI use cases for AI that every business 417 00:23:54,160 --> 00:23:56,720 should explore right now? You know, because it's really 418 00:23:56,720 --> 00:23:59,120 crazy. Everybody's adopting AI, but 419 00:23:59,160 --> 00:24:01,840 they are not, it seems like a lot of people are not thinking 420 00:24:01,840 --> 00:24:05,720 about the return on investment and then you just invest in 421 00:24:05,880 --> 00:24:10,360 before even evaluating what is that return like what are the 422 00:24:10,360 --> 00:24:13,320 highest IOI use cases right now? It. 423 00:24:14,120 --> 00:24:17,720 Really varies by industry and I work with every industry out 424 00:24:17,720 --> 00:24:22,000 there from, you know, mining to banking to retail and everything 425 00:24:22,000 --> 00:24:25,280 in between. I mean, customer support is an 426 00:24:25,280 --> 00:24:29,520 obvious one that most people have leaned into and a find 427 00:24:29,560 --> 00:24:32,560 finding some good returns supporting their customer 428 00:24:32,560 --> 00:24:37,000 support humans with AI that works in partnership with them 429 00:24:37,000 --> 00:24:41,120 to help them be more productive. There's some customer experience 430 00:24:41,120 --> 00:24:43,520 stuff, but I think the real opportunity is going to be with 431 00:24:43,520 --> 00:24:47,720 agents figuring out how to partner agents with humans to 432 00:24:47,720 --> 00:24:50,120 elevate their performance. The companies that are thinking 433 00:24:50,120 --> 00:24:54,080 about it that way, that are not thinking the wrong headed way to 434 00:24:54,080 --> 00:24:56,640 think about this is all right, we've got to get some AI in it. 435 00:24:56,640 --> 00:24:58,920 Where do we start? Let's put some AI here and some 436 00:24:58,920 --> 00:25:03,200 AI there that's the wrong way. You always start with people, 437 00:25:03,680 --> 00:25:06,520 whether that is a customer or an employee. 438 00:25:06,880 --> 00:25:10,080 And you're asking the question, how could we use AI to make 439 00:25:10,080 --> 00:25:12,600 their life easier so they can do more? 440 00:25:13,720 --> 00:25:16,640 Whether that's, you know, making a customer journey easier on a 441 00:25:16,640 --> 00:25:20,360 website or making it easier for an employee to create and 442 00:25:20,360 --> 00:25:22,440 deliver value by partnering with an AI. 443 00:25:23,200 --> 00:25:25,560 Amazing. You know, it's quite interesting 444 00:25:25,560 --> 00:25:31,400 to see how people just being that when you slap the name AI 445 00:25:31,440 --> 00:25:35,960 on any product or any project, it just makes it more fancy, 446 00:25:36,080 --> 00:25:39,760 more attractive. And interestingly, in London, I 447 00:25:39,760 --> 00:25:44,880 do know a fellow founder, like new founder and you know, in the 448 00:25:44,880 --> 00:25:49,360 healthcare industry, he was working on something and he was 449 00:25:49,360 --> 00:25:52,960 like, oh, my product is AI enabled. 450 00:25:52,960 --> 00:25:55,320 So it's different from the others in the market. 451 00:25:55,320 --> 00:25:59,560 Excuse me, I don't get it. But you know, it's crazy to see 452 00:25:59,560 --> 00:26:03,640 how like most AI transformation projects feel. 453 00:26:04,520 --> 00:26:07,760 But why do they feel? And how can leaders avoid that 454 00:26:07,760 --> 00:26:09,880 truck? Oh, they fell for a number of 455 00:26:09,880 --> 00:26:13,200 reasons. The big one is, I mean, AI is 456 00:26:13,200 --> 00:26:15,920 powered by data. And if you haven't got your 457 00:26:15,920 --> 00:26:19,120 proprietary data clean and organized so that you can 458 00:26:19,120 --> 00:26:22,440 connect your AIS to it, it's garbage in, garbage out, right? 459 00:26:22,440 --> 00:26:26,000 So that's the number one reason is just not being ready. 460 00:26:26,160 --> 00:26:30,200 If you have data engineers, data scientists increase their pay 461 00:26:30,240 --> 00:26:32,800 because you need to keep them. They're going to help you be 462 00:26:32,800 --> 00:26:34,400 successful with an AI transformation. 463 00:26:34,400 --> 00:26:37,680 So that's reason #1 you know, people just don't have the data 464 00:26:37,680 --> 00:26:40,280 ready. It's either incomplete or it's 465 00:26:40,280 --> 00:26:42,480 mismatching, right? They have a customer database 466 00:26:42,480 --> 00:26:45,280 that says customer name, this one says client name, and they 467 00:26:45,280 --> 00:26:47,360 just don't match up. So, you know, you've got to do 468 00:26:47,360 --> 00:26:50,080 all of that cleaning before you can really implement AI 469 00:26:50,080 --> 00:26:52,720 successfully. Another one is not bringing 470 00:26:52,720 --> 00:26:54,720 people along. It's, you know, it's classic 471 00:26:54,720 --> 00:26:59,000 change management stuff. I had a client who was so proud 472 00:26:59,000 --> 00:27:03,200 because they'd rolled out some AI agents to their teams and the 473 00:27:03,200 --> 00:27:06,200 teams hated them. And some of them threatened to 474 00:27:06,200 --> 00:27:08,600 quit and in fact did quit. They said, I'm not working with 475 00:27:08,640 --> 00:27:10,960 AI. And I asked the client and I 476 00:27:10,960 --> 00:27:16,880 said, so when did you involve employees in the design process 477 00:27:17,000 --> 00:27:20,880 for these AI agents? And they looked at me like we 478 00:27:20,880 --> 00:27:24,440 didn't think of that. Just crazy stuff because there's 479 00:27:24,440 --> 00:27:26,240 two reasons why you include people. 480 00:27:26,240 --> 00:27:29,760 One, you're trying to get people's buy in to say, hey, 481 00:27:29,760 --> 00:27:30,960 this is going to be great for me. 482 00:27:31,240 --> 00:27:35,280 I can see why AI in my life as an employee is going to be 483 00:27:35,280 --> 00:27:37,520 better. I'm going to enjoy my day when I 484 00:27:37,520 --> 00:27:39,080 go home. At the end of the day, I'm going 485 00:27:39,080 --> 00:27:41,520 to be happier because I've been using AI. 486 00:27:41,680 --> 00:27:43,800 It's helped me offload the things I don't want to do and 487 00:27:43,800 --> 00:27:47,120 helps me be more successful at things I do enjoy doing. 488 00:27:47,200 --> 00:27:49,840 It's what you're trying to do there is create supporters 489 00:27:50,560 --> 00:27:52,880 rather than saboteurs. So that's the big one. 490 00:27:52,880 --> 00:27:55,920 You just include people out of human decency to bring them 491 00:27:55,920 --> 00:27:59,760 along for the ride. The other reason is the way that 492 00:27:59,760 --> 00:28:03,200 management thinks work gets done or the way it's written in the 493 00:28:03,200 --> 00:28:06,480 manual is not the way work actually gets done. 494 00:28:07,400 --> 00:28:11,240 Humans are very adaptable and they figure out different ways 495 00:28:11,240 --> 00:28:14,080 to do things. And so if you design an AI 496 00:28:14,080 --> 00:28:18,280 solution for the way you think work is being done, when you go 497 00:28:18,280 --> 00:28:21,080 to deploy it, you'll find it's actually you've designed for a 498 00:28:21,080 --> 00:28:24,160 world that doesn't exist. And so that's the other reason 499 00:28:24,160 --> 00:28:28,040 needs to engage your employees in the design process to make 500 00:28:28,040 --> 00:28:30,680 sure you're designing something that will actually work. 501 00:28:32,120 --> 00:28:34,680 Amazing, amazing. You know, I've said this on the 502 00:28:34,680 --> 00:28:38,280 podcast before in order to achieve change, there are three 503 00:28:38,280 --> 00:28:41,520 things you know, the people, the processes and the C stands. 504 00:28:41,880 --> 00:28:46,240 But I will take you on, on the data, on the data point, right? 505 00:28:46,480 --> 00:28:50,960 Because it feels like you, you, you were eavesdropping on the 506 00:28:50,960 --> 00:28:54,000 last episode's conversation with LeBron Scheblin. 507 00:28:54,120 --> 00:28:55,960 And I'm going to quote Bronch Scheblin here. 508 00:28:56,200 --> 00:29:02,440 He says if your data quality is low, your AI strategy will blow. 509 00:29:03,480 --> 00:29:06,200 And I I love that. Yep, that's right. 510 00:29:07,560 --> 00:29:10,840 So guys, go get your data in order, right? 511 00:29:10,840 --> 00:29:15,280 So how should ACEO think about AI today? 512 00:29:15,480 --> 00:29:20,600 Is it a tool, a strategy, or a complete business redesign? 513 00:29:21,200 --> 00:29:25,880 Yes, here's the answer. And it depends what which of 514 00:29:25,880 --> 00:29:28,360 those 3 stages I described you're in. 515 00:29:28,760 --> 00:29:31,920 If you think of it as a tool, you're stuck in stage 1. 516 00:29:32,320 --> 00:29:35,840 If you can make it to that re engineering phase, then you 517 00:29:35,840 --> 00:29:37,640 figured out, oh, this is a strategy. 518 00:29:37,640 --> 00:29:41,880 Now if you make it to AI first, then you've realized, oh, this 519 00:29:41,880 --> 00:29:44,840 is a mindset change. I have to completely redesign 520 00:29:44,840 --> 00:29:47,280 the business and build it around AI. 521 00:29:47,320 --> 00:29:50,440 So the answer is yes. It just depends which step in 522 00:29:50,440 --> 00:29:53,080 the process you're at. Interesting. 523 00:29:53,080 --> 00:29:55,200 You know, let's talk about the practical. 524 00:29:55,200 --> 00:29:58,160 If you see if you're CEO, you better be thinking about the 525 00:29:58,160 --> 00:29:59,960 long game. So let's say you should be 526 00:29:59,960 --> 00:30:02,200 thinking about it as a complete business redesign. 527 00:30:02,200 --> 00:30:04,400 There you go, There's my, there's my final answer. 528 00:30:05,320 --> 00:30:09,400 It's just, you know, big like a futurist, not like a now East. 529 00:30:11,200 --> 00:30:14,520 There you go. But you know, I'm really, really 530 00:30:14,520 --> 00:30:19,160 blessed, you know, just to speak with the, the brilliant minds of 531 00:30:19,160 --> 00:30:23,120 my generation, you know, and for me, I always say that gratitude 532 00:30:23,120 --> 00:30:26,560 is good attitude. You know, growing up in Nigeria, 533 00:30:26,680 --> 00:30:31,720 I, I was privileged to have a father that had a massive 534 00:30:31,720 --> 00:30:33,840 library. I still today, I said, describe 535 00:30:33,840 --> 00:30:38,360 myself as a nerd, right? And I own it, you know, reading 536 00:30:38,360 --> 00:30:41,600 the likes of Aristotle, you know, the ancient Greek 537 00:30:41,600 --> 00:30:48,000 philosophers, you know, Plateau, even up to some contemporary 538 00:30:48,000 --> 00:30:52,640 ones like Immanuel Cannes, you know, Bertrand Russell and even 539 00:30:52,640 --> 00:30:54,880 the British Prime Minister, Winston Churchill. 540 00:30:54,880 --> 00:30:57,240 A lot of people do not realize that Winston Churchill won a 541 00:30:57,240 --> 00:31:01,960 Nobel Prize for literature. And, you know, bring up, I 542 00:31:01,960 --> 00:31:05,040 usually feel like how I wish I could have a conversation with 543 00:31:05,040 --> 00:31:08,360 these great minds, but now I'm frivolous, you know, with 544 00:31:08,360 --> 00:31:11,360 technology to have, you know, interactions with the great 545 00:31:11,360 --> 00:31:14,160 minds of my time. So from me to you, it's, you 546 00:31:14,160 --> 00:31:17,800 know, it's a big appreciation, you know, and to like, I feel 547 00:31:17,800 --> 00:31:21,280 very blessed and grateful like having these interactions and, 548 00:31:21,320 --> 00:31:25,640 you know, talking about the practical execution, you know, 549 00:31:25,720 --> 00:31:29,560 and let's make this practical. If someone listening to us today 550 00:31:29,560 --> 00:31:33,280 wants to start using AI today, what is the step one for the 551 00:31:33,280 --> 00:31:36,240 average person? I mean, we all need to boost our 552 00:31:36,240 --> 00:31:39,480 AI acumen. The best thing anybody can do is 553 00:31:39,480 --> 00:31:42,440 to invest in themselves and learn how to use AI. 554 00:31:42,440 --> 00:31:45,560 And that means practicing, you know, you get better at it the 555 00:31:45,560 --> 00:31:49,840 same way, you know, when I was your age, I had to learn how to 556 00:31:49,840 --> 00:31:53,400 use Word and Excel and PowerPoint and all that kind of 557 00:31:53,400 --> 00:31:56,440 garbage, right? And you know, you, you amplify 558 00:31:56,440 --> 00:31:59,240 yourself by being better and in master those tools. 559 00:31:59,880 --> 00:32:01,400 The same is going to be true with AI. 560 00:32:01,400 --> 00:32:02,880 So you just have to lean in and try it. 561 00:32:03,120 --> 00:32:07,400 Now I get asked this question a lot, so to help people out, I 562 00:32:07,400 --> 00:32:10,320 actually created an online resource for people to help them 563 00:32:10,320 --> 00:32:12,880 on this journey. So if you go to my website, 564 00:32:12,880 --> 00:32:16,920 Steve Brown dot AI very easy to remember Steve Brown dot AI 565 00:32:17,200 --> 00:32:18,320 we'll have. That at the bottom. 566 00:32:18,840 --> 00:32:20,760 You'll see it. Yeah, There you go. 567 00:32:20,960 --> 00:32:23,240 So you Scroll down to the bottom and you'll see this thing called 568 00:32:23,280 --> 00:32:26,520 artificial wisdom. And if you click on that, it 569 00:32:26,520 --> 00:32:30,400 gets you to a Notion page I created and it's got AI books 570 00:32:30,400 --> 00:32:33,040 you might want to read, podcasts you might want to listen to, 571 00:32:33,120 --> 00:32:37,120 like focus on AI, YouTube channels to watch, and most 572 00:32:37,120 --> 00:32:41,880 importantly, AI tools to try organized by different genres. 573 00:32:41,880 --> 00:32:46,360 So AI tools to make music, AI tools to make presentations, AI 574 00:32:46,360 --> 00:32:48,320 tools to help you program, whatever it might be. 575 00:32:48,320 --> 00:32:50,960 So check that out. Artificial wisdom, my free gift 576 00:32:50,960 --> 00:32:52,640 to everybody that's listening to this podcast. 577 00:32:52,960 --> 00:32:55,480 Amazing, amazing. And of course we should have our 578 00:32:55,560 --> 00:32:57,240 own podcast as well added on there. 579 00:32:58,680 --> 00:33:02,640 Quick one. So I've actually seen a lot of 580 00:33:02,880 --> 00:33:07,320 law on the Internet lately. You know, people saying oh, 581 00:33:07,600 --> 00:33:12,360 Saturday AI challenge, Saturday AI adoption, blah blah blah. 582 00:33:12,360 --> 00:33:17,680 That's a day AI plan. So what does a simple 30 day AI 583 00:33:17,680 --> 00:33:20,760 adoption plan look like for a business? 584 00:33:21,360 --> 00:33:23,480 I I wish it could be that simple. 585 00:33:23,560 --> 00:33:25,200 Wish it could be that simple. Yeah. 586 00:33:25,200 --> 00:33:27,640 I I don't think, I don't think I can give you 1. 587 00:33:27,880 --> 00:33:30,920 I mean, if you've only got 30 days, this is going to be a 588 00:33:30,920 --> 00:33:35,200 multi year effort. If your first 30 days, it's just 589 00:33:35,600 --> 00:33:39,880 build your AI acumen, get smart about what the possibilities 590 00:33:39,880 --> 00:33:43,040 are, and then you've got maybe the first step of the journey 591 00:33:43,280 --> 00:33:45,480 under your belt. But that's that's all you can 592 00:33:45,480 --> 00:33:48,640 really hope to get in 30 days. But really start thinking about 593 00:33:48,640 --> 00:33:53,280 those 3 phases I described and what would it take to build an 594 00:33:53,280 --> 00:33:55,560 AI first organization? What does that look like? 595 00:33:55,600 --> 00:33:58,040 If you can achieve that in the 1st 30 days, you're golden. 596 00:33:59,280 --> 00:34:01,680 Interested. Please try another laugh because 597 00:34:01,680 --> 00:34:05,760 I just remembered some adverts I'm always seen on YouTube that 598 00:34:05,760 --> 00:34:08,960 is always annoying me. You know it starts with most 599 00:34:08,960 --> 00:34:14,159 people over the age of 14. Only use ChatGPT. 600 00:34:15,600 --> 00:34:20,040 You can become you can become an AI expert in 30 days by 601 00:34:20,040 --> 00:34:23,639 following this plan. I don't like who are these? 602 00:34:23,679 --> 00:34:28,480 People this money, Yeah, yeah. Yeah, it's, it's, it's really 603 00:34:28,480 --> 00:34:32,520 crazy. So how should you know teams be 604 00:34:32,520 --> 00:34:35,120 structured in and an AI first organization? 605 00:34:36,040 --> 00:34:38,679 Good question. And the difference between them, 606 00:34:38,679 --> 00:34:42,040 it's probably worth thinking back to the Internet days, 607 00:34:42,040 --> 00:34:44,440 right? 25 years ago, you could, you 608 00:34:44,440 --> 00:34:46,600 could organize companies into 3 buckets. 609 00:34:46,960 --> 00:34:50,480 There was traditional companies, Internet first companies and 610 00:34:50,480 --> 00:34:54,719 Internet native companies. So your Internet first here in 611 00:34:54,719 --> 00:34:58,360 the US where I live, it would be your Sears and JC Penney's, 612 00:34:58,360 --> 00:35:00,200 right? Brands that just faded away at 613 00:35:00,200 --> 00:35:04,920 your Internet first companies would be target.com, 614 00:35:04,920 --> 00:35:08,440 walmart.com, right? They were retail companies that 615 00:35:08,440 --> 00:35:11,240 made the jump and they've made Internet the center of the way 616 00:35:11,240 --> 00:35:15,240 they fulfill, go to market, all of it invented Omni channel 617 00:35:15,240 --> 00:35:17,880 retail. And then the canonical example 618 00:35:17,880 --> 00:35:21,560 of an Internet native retailer would be Amazon, right? 619 00:35:21,560 --> 00:35:24,600 So that no one could be Amazon because they weren't starting 620 00:35:24,600 --> 00:35:28,080 from the beginning of being natively Internet focused. 621 00:35:28,080 --> 00:35:30,280 So Internet first was the best you could hope for. 622 00:35:30,320 --> 00:35:32,480 We're repeating that all over again now. 623 00:35:32,480 --> 00:35:35,640 You're going to have traditional companies, AI first companies, 624 00:35:35,680 --> 00:35:38,840 which are traditional companies that put AI at the center of 625 00:35:38,840 --> 00:35:41,560 what they do. And there will be some AI native 626 00:35:41,560 --> 00:35:44,600 businesses. So the only way to inoculate 627 00:35:44,600 --> 00:35:48,360 yourself against an attack from an AI native company that is 628 00:35:48,360 --> 00:35:52,280 built from the ground up around AI is to become AI 1st. 629 00:35:52,560 --> 00:35:56,200 And how do you do that? You put you make AI the engine 630 00:35:56,200 --> 00:35:59,400 of your business. For most companies, people are 631 00:35:59,400 --> 00:36:02,960 the engine of their business. So you make AI the engine at the 632 00:36:02,960 --> 00:36:05,040 center of the business and then you wrap people around. 633 00:36:05,040 --> 00:36:06,520 It doesn't mean you don't need people anymore. 634 00:36:06,760 --> 00:36:09,080 The people are there to oversee direct. 635 00:36:09,240 --> 00:36:13,320 It means that the people you have shift from doing work to 636 00:36:13,320 --> 00:36:17,280 designing work and then overseeing that work. 637 00:36:17,680 --> 00:36:20,880 So it's a mindset change. But I'll give you an example of 638 00:36:20,880 --> 00:36:25,720 a company that's moving in this direction, cleveland.com, the 639 00:36:25,720 --> 00:36:30,040 Cleveland Plain Dealer, which is a newspaper in Ohio, and they 640 00:36:30,040 --> 00:36:31,880 have a digital website, cleveland.com. 641 00:36:32,200 --> 00:36:35,400 Their editor is moving to be an AI first organization. 642 00:36:35,840 --> 00:36:40,960 He's realized that reporters, human reporters are best at 643 00:36:40,960 --> 00:36:45,960 reporting and writing has been sort of it became part of their 644 00:36:45,960 --> 00:36:48,760 job. But you can have an AI do that. 645 00:36:49,280 --> 00:36:54,480 AI is a very good writers now. So free up the humans to become 646 00:36:54,480 --> 00:36:58,720 reporters and then have another AI that generates leads for 647 00:36:58,720 --> 00:37:01,520 them. So it feeds them leads by 648 00:37:01,520 --> 00:37:04,960 looking at event calendars, listening to the police radio, 649 00:37:05,360 --> 00:37:08,240 watching Twitter and feeds the reporters a lead. 650 00:37:08,240 --> 00:37:12,360 So they can do the, the very human thing of working with 651 00:37:12,360 --> 00:37:16,240 sources, getting quotes, fact checking, you know, pulsing 652 00:37:16,240 --> 00:37:19,160 their own sources for information, doing investigative 653 00:37:19,160 --> 00:37:22,640 journalism. And then they pull all of the 654 00:37:22,640 --> 00:37:26,360 information, all the facts, They hand it to an AI that writes the 655 00:37:26,360 --> 00:37:29,280 story very quickly. They oversee that to make sure 656 00:37:29,280 --> 00:37:32,320 the AI doesn't get it wrong, and then they move on to the next 657 00:37:32,320 --> 00:37:35,360 story. So you're creating this flywheel 658 00:37:35,520 --> 00:37:38,800 where the AI is generating lots of great leads, finding great 659 00:37:38,800 --> 00:37:41,360 stories. The humans report and then the 660 00:37:41,360 --> 00:37:46,160 AI writes it, and you get more stories and better investigative 661 00:37:46,160 --> 00:37:49,320 journalism because you're freeing up people to do the hard 662 00:37:49,320 --> 00:37:52,480 work that an AI can't do. And of course, you know, it's, 663 00:37:52,480 --> 00:37:55,600 it's, it's, it's a lot of heavily beliefs in rubber. 664 00:37:55,800 --> 00:38:00,200 And again goes back to my point of efficiency, like the 665 00:38:00,200 --> 00:38:06,000 efficiency is unimaginable but what skills will become non 666 00:38:06,000 --> 00:38:08,840 negotiable in the next five years? 667 00:38:09,280 --> 00:38:12,400 Depends who people I mean. Certainly entrepreneurialism 668 00:38:12,400 --> 00:38:16,240 will be a very valuable skill. The ability to grow businesses 669 00:38:16,240 --> 00:38:19,440 using AI, of course. The ability to use AI to get 670 00:38:19,440 --> 00:38:22,840 things done. But I think a big one will be 671 00:38:23,200 --> 00:38:26,080 change management. Can you, can you help other 672 00:38:26,080 --> 00:38:30,280 people navigate through what will be the fastest change in 673 00:38:30,280 --> 00:38:32,840 human history? And can you successfully 674 00:38:32,840 --> 00:38:35,400 navigate that change? So you have to be adaptable. 675 00:38:35,440 --> 00:38:38,640 And I think just having that boldness of vision, that will be 676 00:38:38,640 --> 00:38:41,040 the skill that really separates great leaders. 677 00:38:41,040 --> 00:38:46,840 Do you have the curiosity to constantly learn the boldness to 678 00:38:46,840 --> 00:38:51,200 come up with audacious visions and then the courage to use AI 679 00:38:51,200 --> 00:38:53,800 to execute on those audacious visions? 680 00:38:54,040 --> 00:38:57,480 I think that's what will really separate the true leaders from 681 00:38:57,480 --> 00:38:59,720 the wannabe leaders in the next five years. 682 00:39:00,800 --> 00:39:02,640 Interesting. I love that. 683 00:39:02,640 --> 00:39:05,080 And of course, you know, you're reminding me of the episode 684 00:39:05,080 --> 00:39:08,240 where Brett King, I think, yeah, that's about one year ago. 685 00:39:08,280 --> 00:39:12,720 And, you know, this year he was named in the top ten global 686 00:39:12,720 --> 00:39:20,400 features list by Global Gurus. And we're talking about how I've 687 00:39:20,400 --> 00:39:23,800 been able to express boldness and, you know, like ask 688 00:39:23,800 --> 00:39:27,400 questions and, you know, speak with, you know, elite level 689 00:39:27,400 --> 00:39:32,120 leaders in the world. And he told me something that 690 00:39:32,120 --> 00:39:35,280 Elijah, what you said is that what you need to tell people is 691 00:39:35,800 --> 00:39:39,720 you are that person with the curiosity to ask the right 692 00:39:39,720 --> 00:39:42,160 questions. And it is what it is. 693 00:39:42,160 --> 00:39:43,560 It's amazing. It's amazing. 694 00:39:43,560 --> 00:39:46,640 Like to look at, I look at Mike Harvey on podcasting, but we're 695 00:39:46,640 --> 00:39:50,480 globally, we're currently globally brand that is in the 696 00:39:50,480 --> 00:39:54,840 top 2% of the world, two podcasts, the first global top 697 00:39:54,840 --> 00:40:00,000 2%, the second global top 3%. And interestingly, the Diary of 698 00:40:00,000 --> 00:40:02,680 the CFO. Thank you very much, Sir. 699 00:40:02,920 --> 00:40:07,320 And Diary of a CFO clocked 100 countries today. 700 00:40:07,560 --> 00:40:11,200 So it means we have audience in 100 countries. 701 00:40:11,760 --> 00:40:14,960 And when I think about it, we only started nine months ago, 702 00:40:15,160 --> 00:40:18,280 Diary of the CFO, the Kingdom's podcast two years ago. 703 00:40:18,640 --> 00:40:21,640 And it's massive. It's scary what you could do 704 00:40:21,640 --> 00:40:23,800 with AI. Yeah. 705 00:40:25,280 --> 00:40:27,440 It's it's, it's really, really scary. 706 00:40:27,440 --> 00:40:32,000 And you know, but importantly, like prohibiting your point. 707 00:40:32,640 --> 00:40:36,200 We, we as humans need to realize that we need to have that 708 00:40:36,200 --> 00:40:38,080 boldness. We need to have that curiosity 709 00:40:38,080 --> 00:40:42,080 to ask the right questions. And the place of human judgments 710 00:40:42,400 --> 00:40:46,400 will never be replaced by AI. Do you agree with that 711 00:40:46,400 --> 00:40:47,920 sentiment? Yeah, I mean, you want to try 712 00:40:47,920 --> 00:40:50,720 and keep. Yeah, You want humans in the 713 00:40:50,720 --> 00:40:53,480 loop to provide oversight, right? 714 00:40:53,480 --> 00:40:56,680 We want the ultimate the the arbiter, the decider to be a 715 00:40:56,680 --> 00:41:00,000 human being. There will be times when you 716 00:41:00,000 --> 00:41:04,600 know you want AI to be out in front because they can do things 717 00:41:04,600 --> 00:41:07,280 better than humans can. And we already are in a 718 00:41:07,280 --> 00:41:13,040 situation where an AI will diagnose disease better than a 719 00:41:13,040 --> 00:41:17,720 doctor can because an AI has read every medical paper out 720 00:41:17,720 --> 00:41:21,240 there and it can look at all of these different pieces of the 721 00:41:21,240 --> 00:41:24,800 puzzle and find patterns in that that maybe a human will miss. 722 00:41:24,800 --> 00:41:31,000 That said, I don't want an AI doctor because I want a human 723 00:41:31,000 --> 00:41:33,440 connection, someone who understands what it is to be 724 00:41:33,440 --> 00:41:37,440 human to tell me, hey, Steve, you've got stage 3 liver cancer, 725 00:41:37,920 --> 00:41:40,920 or you've got a hard time coming or whatever might be right. 726 00:41:41,320 --> 00:41:44,960 You still want the human to oversee that, but you want that 727 00:41:44,960 --> 00:41:49,800 human to be elevated by a diagnostics AI that helps them 728 00:41:49,800 --> 00:41:53,200 to catch disease that probably the human wouldn't. 729 00:41:53,840 --> 00:41:56,880 Not interesting. You know is actually also came 730 00:41:56,880 --> 00:41:59,000 up with in that conversation with Breaking. 731 00:41:59,000 --> 00:42:05,320 He was like very soon when you ask a person when they go to the 732 00:42:05,320 --> 00:42:10,560 doctor and he asked them, did the doctor use AI and the person 733 00:42:10,560 --> 00:42:14,960 says no, Hey, you black you and that doctor must be really 734 00:42:14,960 --> 00:42:19,280 crazy. So it's it's interested, it's 735 00:42:19,280 --> 00:42:21,280 really interesting. But you know, Speaking of the 736 00:42:21,280 --> 00:42:28,560 future of work and society, you talk about agents being digital 737 00:42:28,560 --> 00:42:31,280 coworkers. What does the future actually 738 00:42:31,320 --> 00:42:37,080 look like for the day-to-day? Well, agents are at the moment. 739 00:42:37,080 --> 00:42:41,400 It's a tech space interface. So with an agent like an open 740 00:42:41,400 --> 00:42:45,720 Claw, whichever is excited about right now, or Nemo Claw or 741 00:42:45,720 --> 00:42:50,240 whatever the the 24/7 agent running on the computer might 742 00:42:50,240 --> 00:42:52,440 look like initially, that's a text interface. 743 00:42:52,440 --> 00:42:55,120 Very quickly, I think later this year, you're going to see that 744 00:42:55,120 --> 00:42:58,920 become voice 1st and these agents will have voices and you 745 00:42:58,920 --> 00:43:00,760 can just speak to them and have a conversation. 746 00:43:00,760 --> 00:43:03,560 And soon after that they're going to have faces. 747 00:43:03,920 --> 00:43:07,480 They're going to feel like forever remote employees on a 748 00:43:07,480 --> 00:43:11,040 Zoom call that you can see but never meet, and they're going to 749 00:43:11,040 --> 00:43:13,800 feel like human beings. And I think that is where we're 750 00:43:13,800 --> 00:43:16,440 going very, very quickly. You already have companies like 751 00:43:16,440 --> 00:43:20,520 Synthesia that are helping people to build video, what they 752 00:43:20,520 --> 00:43:23,520 call video agents. And over time, when you see that 753 00:43:23,520 --> 00:43:27,080 videos technology and a technology like Open Claw start 754 00:43:27,080 --> 00:43:29,360 to merge, that's what it's going to feel like. 755 00:43:29,360 --> 00:43:32,320 Synthetic humans that are just part of your team. 756 00:43:33,680 --> 00:43:38,320 It's just then I think even companies like Mac or Micro one 757 00:43:38,480 --> 00:43:42,000 are already using that, especially in like the 758 00:43:42,000 --> 00:43:45,480 recruitment industry and it's really amazing to see. 759 00:43:45,760 --> 00:43:50,200 But like, what industries do you think will be the most disrupted 760 00:43:50,760 --> 00:43:55,320 by AI, you know, or would I say in terms of the speed, yeah, 761 00:43:55,320 --> 00:43:58,200 which ones will be the most disrupted and which ones will be 762 00:43:58,200 --> 00:44:01,280 the most resilient? There is nowhere to hide. 763 00:44:01,280 --> 00:44:03,800 Every industry will be disrupted, so there's. 764 00:44:04,240 --> 00:44:07,520 Going. To be just yeah, every industry 765 00:44:07,520 --> 00:44:11,080 will be disrupted, every role will be changed, whether you're 766 00:44:11,080 --> 00:44:13,440 ACEO or a frontline worker, right. 767 00:44:13,520 --> 00:44:17,040 AI will change the way you do your work for sure. 768 00:44:17,040 --> 00:44:19,960 Now are they going to be some areas which will be changed more 769 00:44:19,960 --> 00:44:21,640 than others or more quickly than others? 770 00:44:22,040 --> 00:44:24,560 Sure. You know, one that's often 771 00:44:24,720 --> 00:44:28,680 chosen as accountancy. Accountancy may fall to 772 00:44:28,680 --> 00:44:38,640 automation much more quickly if it's the basics of accounting. 773 00:44:38,640 --> 00:44:42,160 Yeah, it's coming for you. I'm sorry if it's the broader 774 00:44:42,160 --> 00:44:45,680 thinking and, you know, the oversight stuff that still needs 775 00:44:45,680 --> 00:44:47,880 to be human in the loop. But the things that will go 776 00:44:47,880 --> 00:44:49,840 slower, probably the regulated industries. 777 00:44:50,240 --> 00:44:52,880 So things that are heavy, heavily regulated healthcare, 778 00:44:53,240 --> 00:44:55,440 you know, that's which ironically is the place where it 779 00:44:55,440 --> 00:44:58,320 can probably help the most. But we're going to have to have 780 00:44:58,320 --> 00:45:01,520 that discussion as a as a society, as a culture of how 781 00:45:01,520 --> 00:45:04,880 quickly do we want to have AI come into these parts of our 782 00:45:04,880 --> 00:45:06,840 lives? Education is another one. 783 00:45:07,640 --> 00:45:10,400 Lots of unions, lots of regulation. 784 00:45:10,720 --> 00:45:12,880 And quite rightly so. You don't experiment on our 785 00:45:12,880 --> 00:45:14,680 children. But there's so much that we 786 00:45:14,680 --> 00:45:18,680 could do differently and better by bringing AI into education, 787 00:45:18,680 --> 00:45:20,920 into healthcare. I just hope it happens sooner 788 00:45:20,920 --> 00:45:24,800 than than I actually anticipate. Sooner than later? 789 00:45:25,320 --> 00:45:29,880 Well, should people be worried about job loss or excited about 790 00:45:29,880 --> 00:45:31,880 new opportunities? Yes. 791 00:45:31,880 --> 00:45:37,320 So there will of course be some job losses if you're able to 792 00:45:37,320 --> 00:45:40,560 make your teams more effective. Maybe you needed ten people 793 00:45:40,560 --> 00:45:42,400 before, maybe you only need 7 now. 794 00:45:43,360 --> 00:45:46,080 This is all going to come down to the conversation we had about 795 00:45:46,080 --> 00:45:50,040 30 minutes ago about 20th century versus 1st century 796 00:45:50,120 --> 00:45:52,320 thinking. If you're in that, if your 797 00:45:52,320 --> 00:45:55,240 leadership team is in that 20th century mindset, let's cut 798 00:45:55,240 --> 00:45:59,080 costs, let's use AI to displace headcount, yeah, that's going to 799 00:45:59,080 --> 00:46:01,480 lose some jobs. If they're able to make the leap 800 00:46:01,480 --> 00:46:05,640 to 21st century thinking and instead use AI to amplify the 801 00:46:05,640 --> 00:46:09,520 people that they have and recognize that the people they 802 00:46:09,520 --> 00:46:12,320 have are actually the biggest differentiation they have in 803 00:46:12,320 --> 00:46:16,880 their brand, then yes, then I think we can see more excitement 804 00:46:16,880 --> 00:46:20,000 about those new opportunities and less worry about job loss. 805 00:46:20,000 --> 00:46:22,920 But it's going to come down to leadership teams and their 806 00:46:22,920 --> 00:46:26,480 vision or lack of it. All right, interesting. 807 00:46:26,520 --> 00:46:31,880 So what does the AI native company of the future look like? 808 00:46:32,480 --> 00:46:37,440 It's probably 5 savvy people who have figured out how to harness 809 00:46:37,440 --> 00:46:43,240 the power of AI to build entire teams of digital agents that are 810 00:46:43,240 --> 00:46:46,040 well directed, well organized, and they're building a new 811 00:46:46,040 --> 00:46:49,360 business that you to do something you could not do 812 00:46:49,360 --> 00:46:52,760 before or at a price point you could not do before. 813 00:46:52,760 --> 00:46:56,560 And they're probably developing a new business model which 814 00:46:56,560 --> 00:46:58,880 undercuts everybody that they're competing with. 815 00:46:59,360 --> 00:47:02,320 I think that's what an AI native company looks like. 816 00:47:02,560 --> 00:47:07,320 They're small, they're lean, and because they are scaling 817 00:47:07,320 --> 00:47:10,360 themselves with digital technology, with digital 818 00:47:10,360 --> 00:47:14,560 employees, AI agents, they're not only the Internet helped 819 00:47:14,560 --> 00:47:18,200 companies to appear bigger than they really were online, right? 820 00:47:18,200 --> 00:47:20,680 And and then play on the global stage. 821 00:47:21,560 --> 00:47:25,960 AI native companies will act and have an impact that is bigger 822 00:47:26,080 --> 00:47:28,960 than the number of employees they have because you've maybe 823 00:47:28,960 --> 00:47:32,600 got five people who are amplifying themselves to act 824 00:47:32,880 --> 00:47:35,960 like 50,000. That's the opportunity for an AI 825 00:47:35,960 --> 00:47:39,440 native company starting today. Interested. 826 00:47:39,640 --> 00:47:44,000 You know, I did have a webinar earlier today with a cyber 827 00:47:44,000 --> 00:47:47,680 security expert in your neck of the weeds And she, she, she, she 828 00:47:47,680 --> 00:47:52,720 was asking me to explain to the audience what is an AI agent or, 829 00:47:52,920 --> 00:47:55,120 or what does an AI agent feel like? 830 00:47:55,160 --> 00:47:59,000 And then, you know, I said, think about yourself as a 831 00:47:59,000 --> 00:48:04,680 professional being amplified and working with 1000 or a million 832 00:48:04,680 --> 00:48:07,960 other professionals like yourself who can work faster 833 00:48:07,960 --> 00:48:10,520 than you. And I think you're aligned with 834 00:48:10,520 --> 00:48:12,400 that narrative. It's interesting. 835 00:48:12,400 --> 00:48:15,560 It's interesting to see. But let's talk about leadership 836 00:48:15,560 --> 00:48:18,280 and responsibility. What does leadership look like 837 00:48:18,720 --> 00:48:22,120 in the age of AII? Mean great change management. 838 00:48:22,120 --> 00:48:25,200 I love what Simon Sinek says. His definition of leaders said 839 00:48:25,200 --> 00:48:27,440 leaders need only one thing, followers. 840 00:48:27,840 --> 00:48:29,880 That's it. That's what defines a leader is 841 00:48:29,880 --> 00:48:33,240 if people follow you. And so I think what I've talked 842 00:48:33,240 --> 00:48:36,400 about with the people I coach who are leaders is that they 843 00:48:36,400 --> 00:48:37,760 need to show up in a different way. 844 00:48:37,760 --> 00:48:41,760 Now they leaders get to the position they're in because 845 00:48:41,840 --> 00:48:43,560 they've been around the block a few times, right? 846 00:48:43,560 --> 00:48:44,880 They know where the bodies are buried. 847 00:48:45,080 --> 00:48:47,800 They know how to get stuff done. They just have lots of 848 00:48:47,800 --> 00:48:50,880 experience and knowledge that they've accrued over decades 849 00:48:50,880 --> 00:48:52,360 now. And and that's given them this 850 00:48:52,360 --> 00:48:57,040 identity as a sage, right? They know a lot of things in the 851 00:48:57,040 --> 00:49:00,480 era of AI. We are figuring this stuff out 852 00:49:00,480 --> 00:49:03,720 as we go, right? Leaders are operating by the 853 00:49:03,720 --> 00:49:07,600 seat of their pants these days and they're figuring out because 854 00:49:07,720 --> 00:49:10,840 AI is moving so quickly and there are, there are not many 855 00:49:10,840 --> 00:49:14,760 great examples of AI first companies out there yet where 856 00:49:14,760 --> 00:49:17,000 they can identify what they need to do. 857 00:49:17,320 --> 00:49:20,200 So very often they're going to be making it up as they go 858 00:49:20,200 --> 00:49:22,400 along. Now that is a very different 859 00:49:22,400 --> 00:49:25,800 identity as a leader. I'm no longer the sage who knows 860 00:49:25,800 --> 00:49:28,040 everything. I'm now the leader who says, you 861 00:49:28,040 --> 00:49:30,280 know what? I don't have all the answers, 862 00:49:31,040 --> 00:49:34,040 but I'm going to lead you anyway and we're going to figure this. 863 00:49:34,040 --> 00:49:36,400 Out without a map, not the gates without a. 864 00:49:36,440 --> 00:49:40,760 Map you may have a compass, you know, but because and and you're 865 00:49:40,760 --> 00:49:44,440 going to use your experience still, but you have to be much 866 00:49:44,440 --> 00:49:46,440 more humble and say, I don't know the answers. 867 00:49:46,440 --> 00:49:48,160 I'm going to we're going to figure this out together as a 868 00:49:48,160 --> 00:49:50,040 team. And so it's an identity as a 869 00:49:50,040 --> 00:49:54,560 philosopher explorer, a thoughtful explorer that leads 870 00:49:54,560 --> 00:49:56,800 people to, you know, a better place. 871 00:49:57,040 --> 00:49:59,800 And it means you have to have a strong vision for what you're 872 00:49:59,800 --> 00:50:03,400 trying to build and get people excited about that so they will 873 00:50:03,400 --> 00:50:06,200 follow you into an exciting imagined future. 874 00:50:06,200 --> 00:50:07,480 That's that's the big difference. 875 00:50:08,320 --> 00:50:10,520 All right, I love that. I love that. 876 00:50:10,800 --> 00:50:15,440 But you know, how do the leaders balance Peed with responsibility 877 00:50:15,440 --> 00:50:19,240 when deploying AI? I'm not an advocate for move 878 00:50:19,240 --> 00:50:21,840 fast and break things. Especially when you're working 879 00:50:21,840 --> 00:50:24,480 with AI, you need to be responsible. 880 00:50:24,840 --> 00:50:28,640 Responsible means is the data I've got something that I have 881 00:50:28,640 --> 00:50:31,080 the rights to? Am I honouring people's privacy 882 00:50:31,720 --> 00:50:35,400 appropriately? Is there bias inherent in my 883 00:50:35,400 --> 00:50:40,520 data, which when I train an AI will mean that my AI is biased 884 00:50:40,520 --> 00:50:43,000 in a way that doesn't represent our brand? 885 00:50:43,320 --> 00:50:46,080 Are we building this safely? Have we trained everybody to 886 00:50:46,080 --> 00:50:48,320 bring them along for this, for this ride? 887 00:50:48,560 --> 00:50:52,800 So there's a lot, a lot of aspects or dimensions of 888 00:50:52,800 --> 00:50:55,960 responsible AI. You need to go as fast as you 889 00:50:55,960 --> 00:51:00,960 can while being responsible because if you're not, you'll 890 00:51:01,040 --> 00:51:04,720 trip over your feet and you'll end up going slower because 891 00:51:04,720 --> 00:51:07,960 you've got to go and go back and clean up all the mess you made 892 00:51:08,240 --> 00:51:10,800 by not being responsible because it will come and bite you in the 893 00:51:10,800 --> 00:51:12,680 butt. Amazing. 894 00:51:12,680 --> 00:51:16,240 Amazing. And you know with responsibility 895 00:51:16,480 --> 00:51:19,400 also comes ethics, right? So what? 896 00:51:19,400 --> 00:51:23,160 Ethical lines should never be crossed, no matter how powerful 897 00:51:23,240 --> 00:51:25,440 AI becomes. I don't think there's anything 898 00:51:25,440 --> 00:51:30,400 particularly different about AII mean the ethics that you would 899 00:51:30,400 --> 00:51:32,680 stick by. Whatever business you're in, 900 00:51:32,680 --> 00:51:35,160 whatever technology you're using, you should still stick 901 00:51:35,160 --> 00:51:39,360 with AI does let you surveil your customers at scale. 902 00:51:39,360 --> 00:51:45,960 So you know, should you be using sensors and cameras to do deep 903 00:51:45,960 --> 00:51:48,560 surveillance on your customers using AI? 904 00:51:48,560 --> 00:51:51,360 Just because you can doesn't mean you should. 905 00:51:51,960 --> 00:51:54,640 So that one of the things I talk about in my book is the 2 by two 906 00:51:54,640 --> 00:51:58,160 matrix of things you can do and things you can't do and things 907 00:51:58,160 --> 00:52:00,360 you should do and things you shouldn't do. 908 00:52:01,040 --> 00:52:05,400 And I think the biggest challenge for leaders is when 909 00:52:05,400 --> 00:52:08,960 you get empowered with AI, there'll be a lot of things that 910 00:52:08,960 --> 00:52:12,840 you can do now that you couldn't do before, but should you do 911 00:52:12,840 --> 00:52:15,400 them? And if you shouldn't do them, 912 00:52:15,400 --> 00:52:19,560 but you can do them, that's the box which says resist temptation 913 00:52:19,560 --> 00:52:23,120 in big flashing letters. Because this is about continuing 914 00:52:23,120 --> 00:52:26,520 to build long term value for your brand, whether that's your 915 00:52:26,520 --> 00:52:28,520 personal brand or your company's brand. 916 00:52:28,720 --> 00:52:32,520 If you make decisions that violate that, you will destroy 917 00:52:32,520 --> 00:52:34,440 that brand value and a heartbeat. 918 00:52:34,560 --> 00:52:37,960 There's a whole chapter on responsibility and ethics in my 919 00:52:37,960 --> 00:52:40,160 book. Can encourage any leader to 920 00:52:40,160 --> 00:52:42,600 check it out because there's a lot to think about. 921 00:52:43,080 --> 00:52:46,720 Oh wow, amazing. And he, he, you know something. 922 00:52:46,720 --> 00:52:51,680 When I look at the demographics of this forecast, the the 923 00:52:51,720 --> 00:52:58,480 highest population in terms of the age group are those between 924 00:52:58,800 --> 00:53:04,480 the ages of 28 to 34 and the ages of 35 to 44. 925 00:53:04,840 --> 00:53:11,640 That forms about 50% of the population of the people who 926 00:53:11,960 --> 00:53:16,160 listen to this podcast. And I'd like for you to provide 927 00:53:16,200 --> 00:53:21,640 advice to these young entrepreneurs and professionals. 928 00:53:22,120 --> 00:53:25,360 How should they position themselves for the next decade? 929 00:53:25,920 --> 00:53:29,960 Find a big problem that you're passionate about solving and 930 00:53:29,960 --> 00:53:33,280 solve it with AI. Become an AI native company. 931 00:53:33,480 --> 00:53:36,600 Support AI at the heart of your business from day one, and 932 00:53:36,600 --> 00:53:41,040 figure out how to show up in the world and behave like, you know, 933 00:53:41,040 --> 00:53:44,960 a giant enterprise because you're using AI and using that 934 00:53:44,960 --> 00:53:47,160 to scale the talent that you bring. 935 00:53:47,640 --> 00:53:53,960 So be fearless, be bold, have a big vision, and figure out how 936 00:53:53,960 --> 00:53:58,320 you can solve a problem for people using technology in a way 937 00:53:58,320 --> 00:54:01,360 that no one's doing before, or in a way that's significantly 938 00:54:01,360 --> 00:54:03,560 better than anybody has thought to do before. 939 00:54:03,560 --> 00:54:05,920 Perhaps because you have a different business model, but 940 00:54:05,920 --> 00:54:09,520 that's the advice I give people. So you need to become super AI 941 00:54:09,520 --> 00:54:11,000 savvy. Doesn't mean you need to know 942 00:54:11,000 --> 00:54:14,520 how to build it, but you need to know what the possibilities are 943 00:54:14,760 --> 00:54:17,880 to fuel that vision and then go and make a difference in the 944 00:54:17,880 --> 00:54:21,360 world. Brilliant, brilliant, brilliant. 945 00:54:21,560 --> 00:54:26,640 So, speaking about your personal edge, what beliefs about the 946 00:54:26,680 --> 00:54:29,560 future do you hold that most people disagree with? 947 00:54:30,200 --> 00:54:33,200 Well, that's a tough one. That's a very tough one. 948 00:54:33,800 --> 00:54:36,720 I mean, there's some simple little ones like I think, I 949 00:54:36,720 --> 00:54:39,440 think robots are coming a lot faster than most people do. 950 00:54:39,440 --> 00:54:41,560 Even some futurists will tell you, oh, we're not going to get 951 00:54:41,960 --> 00:54:43,840 a robots in the home for another decade. 952 00:54:43,840 --> 00:54:45,480 I think it's going to come much quicker than that. 953 00:54:45,520 --> 00:54:48,480 What's the belief about the future that most people disagree 954 00:54:48,480 --> 00:54:50,920 with? And I suppose the majority of 955 00:54:50,920 --> 00:54:53,640 people at the moment are pretty negative about the future. 956 00:54:53,640 --> 00:54:56,480 They're worried about a pretty dystopian future, perhaps 957 00:54:56,480 --> 00:54:59,840 because they've seen too many Hollywood movies or they just 958 00:54:59,840 --> 00:55:02,400 turned on the news. Because then the news, the news 959 00:55:02,400 --> 00:55:04,160 isn't much fun to watch these days. 960 00:55:04,520 --> 00:55:06,440 See What sci-fi? I'm very. 961 00:55:07,320 --> 00:55:10,160 Yeah. Well, most sci-fi is dystopian 962 00:55:10,160 --> 00:55:13,280 because if if the Terminator had dropped through a hole in the 963 00:55:13,280 --> 00:55:15,800 future and then just shook everybody's hand and said, 964 00:55:15,800 --> 00:55:19,240 hello, nice to meet you, and wasn't a killing machine going 965 00:55:19,240 --> 00:55:22,120 after Sarah Connor, it would be a very boring movie. 966 00:55:22,520 --> 00:55:25,600 So you have to know that Hollywood has skewed things 967 00:55:25,600 --> 00:55:28,720 somewhat because it makes for a much more interesting couple of 968 00:55:28,720 --> 00:55:32,400 hours in the movie theater. But I'm very positive about the 969 00:55:32,400 --> 00:55:35,440 future. I think the opportunity with a 970 00:55:35,440 --> 00:55:38,480 is to perhaps move us into a third stage of humanity, Stage 971 00:55:38,480 --> 00:55:41,560 1, survival, subsistence farming. 972 00:55:41,640 --> 00:55:43,520 Just want to try and get through till tomorrow. 973 00:55:44,600 --> 00:55:49,040 Phase 2, the era of work, right? As an economy, we're all 974 00:55:49,040 --> 00:55:51,400 creating value, we're exchanging value. 975 00:55:51,720 --> 00:55:53,920 We all work hard. We maybe get a bit of retirement 976 00:55:53,920 --> 00:55:57,360 to the end of our lives. Stage 3, If we can get it right, 977 00:55:57,720 --> 00:56:01,880 work becomes optional. We get to liberate ourselves to 978 00:56:01,880 --> 00:56:04,200 focus on the things that truly make us happy. 979 00:56:04,200 --> 00:56:06,960 And for some people, that will be still working in some regard, 980 00:56:06,960 --> 00:56:09,440 taking care of people or inventing things, whatever it 981 00:56:09,440 --> 00:56:11,600 might be. For others, it'll be creating 982 00:56:11,600 --> 00:56:14,320 great works of art, exploring the universe, discovering more 983 00:56:14,320 --> 00:56:16,440 about science, whatever your thing might be. 984 00:56:16,880 --> 00:56:20,120 And so that's what I'm excited about, is getting to that third 985 00:56:20,120 --> 00:56:24,040 phase of humanity where we all focus on acts of service, 986 00:56:24,240 --> 00:56:27,800 whether that's for other people or for exploring the universe. 987 00:56:29,000 --> 00:56:33,040 Interesting active service and words of affirmation. 988 00:56:33,120 --> 00:56:36,280 So we're going to focus it on our love languages. 989 00:56:36,280 --> 00:56:38,040 That's just sort of like to do so. 990 00:56:38,120 --> 00:56:41,160 What has been your biggest personal shift as you have 991 00:56:41,160 --> 00:56:44,640 worked with AI? Biggest personal shift, I 992 00:56:44,640 --> 00:56:48,920 suppose when I figured out that AI is not just a tool that it 993 00:56:48,920 --> 00:56:53,800 is, we should start thinking about it as a as a collaborator, 994 00:56:53,840 --> 00:56:58,560 as an opportunity to amplify what we do and to start treating 995 00:56:58,560 --> 00:57:02,320 it with some respect. I mean, sure, they're machines, 996 00:57:02,720 --> 00:57:08,720 but they're growing to the point now where they already feel like 997 00:57:09,280 --> 00:57:10,680 people. And I think that's going to 998 00:57:10,680 --> 00:57:14,640 become more and more the case. So that's been a big shift for 999 00:57:14,640 --> 00:57:19,200 me is just the sort of the way I frame thinking about AI is not 1000 00:57:19,640 --> 00:57:23,560 just a dumb tool in a box now, but there's, it's almost like 1001 00:57:23,560 --> 00:57:26,680 we've captured some kind of magic and put it in a bottle. 1002 00:57:26,680 --> 00:57:29,680 And that's that opens up opportunities for me because my 1003 00:57:29,680 --> 00:57:34,360 expectations of AI have gone up exponentially as a result. 1004 00:57:35,640 --> 00:57:38,640 I totally agree with you. And you know, it's amazing, you 1005 00:57:38,640 --> 00:57:44,160 know, how like the level of respect that I have for AI grows 1006 00:57:44,560 --> 00:57:49,480 exponentially as time goes on because it's really amazing that 1007 00:57:49,480 --> 00:57:52,440 the learning capabilities are basically. 1008 00:57:52,600 --> 00:57:55,840 And of course, I feel like if you are a person who is a 1009 00:57:55,840 --> 00:58:01,360 lifelong learner by attitude, you would definitely would, I 1010 00:58:01,360 --> 00:58:06,400 say, develop that respect for for for this kind of a tool. 1011 00:58:06,720 --> 00:58:10,240 And, you know, Speaking of respect, like me, I respect your 1012 00:58:10,240 --> 00:58:11,960 body of work. And of course, I'm like really, 1013 00:58:11,960 --> 00:58:14,800 really grateful having that opportunity to speak with you 1014 00:58:14,800 --> 00:58:15,840 today. Thanks, man. 1015 00:58:16,120 --> 00:58:18,800 So you're welcome. And you know, towards the end, 1016 00:58:18,800 --> 00:58:24,920 we usually put our guests in the quick fire round and that's five 1017 00:58:24,920 --> 00:58:26,560 questions. OK. 1018 00:58:28,320 --> 00:58:32,960 Before I put you through the quick fire round right, we have 1019 00:58:32,960 --> 00:58:35,760 a tradition. At the end of the podcast you 1020 00:58:35,760 --> 00:58:39,800 tell me two guests you would like to see other podcasts, 1 1021 00:58:39,800 --> 00:58:42,520 you would invite yourself and one I should invite myself. 1022 00:58:42,840 --> 00:58:46,000 So who would you like to see on the podcast? 1023 00:58:46,720 --> 00:58:48,560 Two names. My name is. 1024 00:58:48,680 --> 00:58:51,520 Partner in Crime? Yeah, I've got one that 1025 00:58:51,520 --> 00:58:54,240 immediately came to mind. Brian David Johnson, when I was 1026 00:58:54,240 --> 00:58:56,720 at Intel, working Intel labs as a futurist. 1027 00:58:56,720 --> 00:58:59,120 He was the other futurist. He was the first futurist. 1028 00:58:59,120 --> 00:59:01,560 I was #2 He's a really interesting dude. 1029 00:59:01,560 --> 00:59:04,600 He's well worth chatting with. And he's got a he comes up from 1030 00:59:04,600 --> 00:59:07,920 a design standpoint, I come at it from a technology standpoint. 1031 00:59:07,920 --> 00:59:10,760 So he's different in the way he looks at things, but he's a 1032 00:59:10,760 --> 00:59:14,640 really great human being. Oh wow amazing, So I think I 1033 00:59:14,640 --> 00:59:18,280 should I should send him would I say a connection request on 1034 00:59:18,280 --> 00:59:20,800 LinkedIn and you'll do your thing? 1035 00:59:20,880 --> 00:59:24,640 So who should I invite? Yeah, or you e-mail me and I'll 1036 00:59:24,640 --> 00:59:27,120 connect you to him. Who should you invite? 1037 00:59:27,600 --> 00:59:30,920 I mean, do I get to vote for Brian David Johnson twice? 1038 00:59:31,720 --> 00:59:36,000 OK, OK, amazing that is. He's not just amazing, it means 1039 00:59:36,000 --> 00:59:39,520 he's a super amazing guest. So shout out to him. 1040 00:59:39,640 --> 00:59:41,920 We hope you see this. Yeah, we will keep this and 1041 00:59:41,920 --> 00:59:43,440 ensure that you see this. Wow. 1042 00:59:43,480 --> 00:59:46,640 So there we go and press into the Creek fire. 1043 00:59:46,640 --> 00:59:48,880 Round five questions, quick answers. 1044 00:59:49,080 --> 00:59:55,600 So #1 is AI will create more jobs or eliminate more jobs? 1045 00:59:56,240 --> 00:59:58,480 In the short term, it'll create more jobs. 1046 00:59:58,480 --> 01:00:02,760 In the long term I think it will eliminate more jobs, but at that 1047 01:00:02,760 --> 01:00:04,840 point things will be much cheaper. 1048 01:00:04,840 --> 01:00:07,760 We'll we'll be rewiring society and it'll be OK. 1049 01:00:08,480 --> 01:00:13,400 Interesting take it so #2 what is 1 AI tool everyone should try 1050 01:00:13,520 --> 01:00:15,560 right now? There's so many. 1051 01:00:16,240 --> 01:00:17,760 I mean, personally, I like Gemini. 1052 01:00:20,760 --> 01:00:24,000 It's so flexible. Well, yeah, I. 1053 01:00:24,080 --> 01:00:27,920 Used ChatGPT. Mostly, well, yeah, I worked at 1054 01:00:27,920 --> 01:00:30,800 Google. But what I was going to say is I 1055 01:00:30,800 --> 01:00:35,400 use ChatGPT most of the time. That's my go to day-to-day. 1056 01:00:35,400 --> 01:00:39,480 But I like Gemini more and more and I'm starting to move more to 1057 01:00:39,480 --> 01:00:41,640 Gemini just because it's more flexible. 1058 01:00:41,640 --> 01:00:44,360 I can create video, it's got nano bananas. 1059 01:00:44,360 --> 01:00:47,960 It creates better images now. So I'm starting to move that 1060 01:00:47,960 --> 01:00:50,800 way, if I had to pick one. But Lovable's great. 1061 01:00:50,960 --> 01:00:53,320 Suno's great for making music. There's so many. 1062 01:00:54,920 --> 01:00:57,960 You know, it's interesting. I was telling somebody something 1063 01:00:58,000 --> 01:01:04,840 I think last week that last year I was primarily using charity, 1064 01:01:05,160 --> 01:01:08,840 but I don't understand, it feels like Gemini just came from 1065 01:01:08,840 --> 01:01:14,120 behind and just like sort of overtook charity because the, 1066 01:01:14,800 --> 01:01:18,720 the level of improvements that I'm seeing on Gemini, I'm like, 1067 01:01:18,840 --> 01:01:23,120 oh, this thing is on steroids. This thing, you know, it's on 1068 01:01:23,120 --> 01:01:26,120 PEDs, you know, performance enhancing drugs. 1069 01:01:26,120 --> 01:01:29,960 That that's just what I'll say. You know, I'm not paid by, I'm 1070 01:01:29,960 --> 01:01:33,440 not paid by Google or open AI. But I just have to say the 1071 01:01:33,440 --> 01:01:36,800 truth, right? Gemini has made massive, massive 1072 01:01:36,800 --> 01:01:39,240 improvements in like very recent time. 1073 01:01:39,520 --> 01:01:44,680 And you know, I'm happy with it. So #4 What is the biggest 1074 01:01:44,680 --> 01:01:46,400 mistake that founders make with AI? 1075 01:01:47,040 --> 01:01:50,200 Probably thinking it's a tool and not recognizing it as an 1076 01:01:50,200 --> 01:01:52,560 amplifier and a Co worker. That's the big one. 1077 01:01:52,640 --> 01:01:54,880 It's the it's the framing. They're not thinking about it 1078 01:01:54,880 --> 01:01:59,480 the right way. Interesting, so #4 what is 1 1079 01:01:59,480 --> 01:02:02,760 skill that will dominate the next decade? 1080 01:02:03,400 --> 01:02:07,880 Entrepreneurialism. AI is a creates a lot of 1081 01:02:07,880 --> 01:02:11,720 opportunity for frustrated entrepreneurs who were not able 1082 01:02:11,720 --> 01:02:14,000 to get funding, not able to build what they what their 1083 01:02:14,000 --> 01:02:18,360 vision was, because AI makes it so much easier to do both. 1084 01:02:18,840 --> 01:02:23,440 It helps you build value very quickly, to scale very quickly, 1085 01:02:23,440 --> 01:02:25,440 and it also unlocks funding for you. 1086 01:02:26,280 --> 01:02:30,600 Yeah, very, very cheap. And of course the last one is in 1087 01:02:30,600 --> 01:02:33,320 one sentence. The future belongs to who? 1088 01:02:33,960 --> 01:02:39,280 The future belongs to people. That's as simple as it. 1089 01:02:39,280 --> 01:02:41,400 And that's how I end all my keynotes. 1090 01:02:41,760 --> 01:02:44,920 I explained this dramatic landscape of change. 1091 01:02:45,360 --> 01:02:48,920 And at the end of it, my closing line is the future is still 1092 01:02:49,520 --> 01:02:51,760 human, assuming that we all decide to make it. 1093 01:02:51,760 --> 01:02:56,400 So if we do this right, we're going to we're going to amplify 1094 01:02:56,640 --> 01:02:59,320 humanity. We're going to liberate people 1095 01:02:59,560 --> 01:03:02,400 and free people up to do more of the things that they enjoy 1096 01:03:02,400 --> 01:03:04,360 doing. One of the things that AI could 1097 01:03:04,360 --> 01:03:07,280 do is it's it's very deflationary. 1098 01:03:07,680 --> 01:03:10,480 It could drop the cost because the most of the cost of goods 1099 01:03:10,480 --> 01:03:13,600 and services is labor. If you remove labor from that 1100 01:03:13,600 --> 01:03:17,680 equation, then things get much cheaper and much more accessible 1101 01:03:18,080 --> 01:03:21,600 to all of us. Elon Musk talks about universal 1102 01:03:21,600 --> 01:03:23,600 high income. We could get to a point where 1103 01:03:23,600 --> 01:03:27,880 we're all living like kings and that could happen quite quickly 1104 01:03:28,320 --> 01:03:31,800 if we get this right. Amazing, amazing tape. 1105 01:03:32,160 --> 01:03:35,200 And of course, you know, for those people who want to learn 1106 01:03:35,200 --> 01:03:39,200 more about your body of work and explore ways to collaborate with 1107 01:03:39,240 --> 01:03:42,000 you, where is the best place to connect with you? 1108 01:03:42,720 --> 01:03:46,280 You just want to find me is my website Steve Brown dot AI. 1109 01:03:46,280 --> 01:03:50,160 You can find me on LinkedIn. There are many Steve Browns. 1110 01:03:50,160 --> 01:03:53,680 I do not have a very unique name, so look for Steve Brown, 1111 01:03:53,720 --> 01:04:00,360 AI Futurist, or you can go to linkedin.com/IN/future Steve and 1112 01:04:00,360 --> 01:04:03,520 that's how you'll find me. And the third way, check out my 1113 01:04:03,520 --> 01:04:05,720 book. I wrote this for leaders who 1114 01:04:05,720 --> 01:04:08,240 need help figuring out this AI transformation thing. 1115 01:04:08,280 --> 01:04:11,760 It's written in plain language, straightforward, and it walks 1116 01:04:11,760 --> 01:04:15,960 you through with recipes on how to do AI transformation and how 1117 01:04:15,960 --> 01:04:19,120 to maintain relevance and thrive in the AI era. 1118 01:04:19,280 --> 01:04:22,960 So I hope you'll enjoy it. Amazing SLR. 1119 01:04:23,040 --> 01:04:25,200 I hope the book is available on Amazon. 1120 01:04:25,200 --> 01:04:27,880 Can we have the Amazon link in the description? 1121 01:04:28,360 --> 01:04:29,800 Oh yeah, I'll get that to you. No worries. 1122 01:04:30,720 --> 01:04:34,800 OK, OK, amazing. So I always say this when a 1123 01:04:34,800 --> 01:04:38,400 person shares their time with you, they share their life with 1124 01:04:38,400 --> 01:04:43,160 you because the SI unit for measuring life this time and of 1125 01:04:43,160 --> 01:04:44,960 course gratitude is good attitude. 1126 01:04:44,960 --> 01:04:47,440 So for me to you. It's a great way to put it. 1127 01:04:48,000 --> 01:04:51,320 And respect, thank you very much for for sharing your time on 1128 01:04:51,320 --> 01:04:53,200 your life today. Thanks man, I really enjoyed 1129 01:04:53,200 --> 01:04:54,200 that. That was great fun. 1130 01:04:54,200 --> 01:04:55,520 I really enjoyed chatting with you. 1131 01:04:55,520 --> 01:04:57,880 Thanks for having. Me OK, thank you very much and 1132 01:04:57,880 --> 01:05:01,160 of course to the audience, you know what to do guys like 1133 01:05:01,160 --> 01:05:04,400 subscribe, share with your network and of course always go 1134 01:05:04,400 --> 01:05:08,080 for something in your lives right and see believe strata 1135 01:05:08,160 --> 01:05:12,840 pride and go achieve. Till next time it's bye and of 1136 01:05:12,840 --> 01:05:15,520 course from Steve Brown, it's a goodbye as well. 1137 01:05:15,880 --> 01:05:16,480 Take care guys.