1 00:00:00,840 --> 00:00:06,120 Speaker 1: What if you tried to make yourself completely replaceable, not fired, 2 00:00:06,720 --> 00:00:12,280 Speaker 1: not demoted, but voluntarily handing over every operational part of 3 00:00:12,320 --> 00:00:17,000 Speaker 1: your role to AI. That's exactly what Georgie Holt did 4 00:00:17,360 --> 00:00:20,440 Speaker 1: in just sixty days. She built AI tools to take 5 00:00:20,560 --> 00:00:24,200 Speaker 1: over twenty five hours of work a week, and she 6 00:00:24,320 --> 00:00:28,640 Speaker 1: says the experiment has changed her leadership forever. You might 7 00:00:28,680 --> 00:00:31,360 Speaker 1: not have heard of Georgie, but you will definitely know 8 00:00:31,440 --> 00:00:34,760 Speaker 1: her work. She is the co founder and CEO of 9 00:00:34,880 --> 00:00:38,680 Speaker 1: Flight Story, which she co founded with Stephen Bartlett, and 10 00:00:38,680 --> 00:00:41,320 Speaker 1: it's the media company that is home to Diary of 11 00:00:41,360 --> 00:00:44,479 Speaker 1: a Ceo, the second biggest podcast in the world with 12 00:00:44,600 --> 00:00:48,960 Speaker 1: over one billion streams and over eleven million YouTube subscribers. 13 00:00:49,600 --> 00:00:52,960 Speaker 1: By the end of this conversation, you'll know exactly how 14 00:00:53,000 --> 00:00:57,440 Speaker 1: Georgie got AI to replace huge portions of her role 15 00:00:57,560 --> 00:01:01,400 Speaker 1: as a CEO. We go through step by step how 16 00:01:01,440 --> 00:01:04,600 Speaker 1: she did it, including the AI tools she built herself 17 00:01:04,880 --> 00:01:08,360 Speaker 1: despite not being a programmer. So if you've ever wished 18 00:01:08,560 --> 00:01:11,240 Speaker 1: you could hand over the grant work without losing the 19 00:01:11,280 --> 00:01:15,040 Speaker 1: magic of what makes you you, this episode is going 20 00:01:15,080 --> 00:01:18,199 Speaker 1: to change the way you think about your job, your time, 21 00:01:18,560 --> 00:01:28,480 Speaker 1: and your role, especially if you're a leader. Welcome to 22 00:01:28,560 --> 00:01:32,440 Speaker 1: How I Work, a show about habits, rituals, and strategies 23 00:01:32,520 --> 00:01:36,360 Speaker 1: for optimizing your day. I'm your host, doctor Amantha Imber. 24 00:01:40,680 --> 00:01:43,560 Speaker 1: I want to start with a quote that I read 25 00:01:43,760 --> 00:01:47,480 Speaker 1: of yours, which said, I'm trying to kill myself in 26 00:01:47,560 --> 00:01:50,400 Speaker 1: sixty days and in brackets I'm going to put with AI. 27 00:01:51,240 --> 00:01:55,240 Speaker 1: Can I remove myself entirely from the organization and could 28 00:01:55,240 --> 00:01:59,600 Speaker 1: it run without me? Is what I'm trying to test. Georgie, 29 00:01:59,720 --> 00:02:02,000 Speaker 1: can can you tell me what the last few months 30 00:02:02,000 --> 00:02:05,919 Speaker 1: have looked like with your experimentation for yourself into AI. 31 00:02:06,320 --> 00:02:10,480 Speaker 2: It's been incredible. I mean, I'm still here, I'm still alive, 32 00:02:11,040 --> 00:02:13,400 Speaker 2: although maybe this is the robot hologram for myself, and 33 00:02:13,440 --> 00:02:18,000 Speaker 2: actually it was completely successful. It's been an extraordinary test. 34 00:02:18,080 --> 00:02:21,959 Speaker 2: I think sort of not just from ANAI an experimentation 35 00:02:22,080 --> 00:02:24,720 Speaker 2: point of view, but almost from a psychological point as well. 36 00:02:24,840 --> 00:02:26,799 Speaker 3: I think as leaders, we get. 37 00:02:26,800 --> 00:02:30,640 Speaker 2: Sucked into the operational machine. You get sucked into the scheduling, 38 00:02:30,720 --> 00:02:34,720 Speaker 2: the timelines, the projects, and some of my most inspiring 39 00:02:34,800 --> 00:02:39,160 Speaker 2: leaders have really had a strong emotional intelligence and have 40 00:02:39,280 --> 00:02:42,160 Speaker 2: really worked out the psychology of an organization. It's the 41 00:02:42,280 --> 00:02:46,560 Speaker 2: intrinsic motivations of the people within it, the intrinsic motivations 42 00:02:46,560 --> 00:02:49,240 Speaker 2: of a company itself, like it's purpose, it's vision, it's 43 00:02:49,280 --> 00:02:52,600 Speaker 2: north star. And I wanted to test that theory that 44 00:02:52,840 --> 00:02:56,519 Speaker 2: I could give all of the operational load to at all, 45 00:02:56,560 --> 00:02:59,480 Speaker 2: like a build gpgpts to help me scaloes out. I 46 00:02:59,480 --> 00:03:02,919 Speaker 2: could use other tools like report et cetera to enable 47 00:03:03,000 --> 00:03:07,520 Speaker 2: me to put the operational expertise into a machine. It 48 00:03:07,520 --> 00:03:10,480 Speaker 2: has been honestly revolutionary for me. I have got so 49 00:03:10,600 --> 00:03:15,200 Speaker 2: much time back, and I found time that greatest gift 50 00:03:15,200 --> 00:03:18,080 Speaker 2: of all things, by spending time learning new skills and 51 00:03:18,120 --> 00:03:22,200 Speaker 2: techniques to improve how I operated as a leader in more. 52 00:03:22,000 --> 00:03:25,519 Speaker 3: Of the functional things. And if I can give myself. 53 00:03:25,120 --> 00:03:28,079 Speaker 2: Back time, I believe it's one of the most important 54 00:03:28,120 --> 00:03:30,640 Speaker 2: things that I can do for the company because I 55 00:03:30,680 --> 00:03:32,880 Speaker 2: can spend more time on the people in it. And 56 00:03:32,919 --> 00:03:35,400 Speaker 2: it's now freed up a huge amount of time for 57 00:03:35,480 --> 00:03:38,240 Speaker 2: us to focus on twenty thirty. So we now have 58 00:03:38,360 --> 00:03:40,560 Speaker 2: this ambition to look at the next four years ahead. 59 00:03:40,560 --> 00:03:42,440 Speaker 2: Where will it be by twenty thirty? And I don't 60 00:03:42,440 --> 00:03:44,160 Speaker 2: think if I'd have not sort of gone on the 61 00:03:44,200 --> 00:03:46,400 Speaker 2: project to trying to kill thee myself in the operational 62 00:03:46,440 --> 00:03:48,240 Speaker 2: side of me, I would have had that time to 63 00:03:48,640 --> 00:03:51,800 Speaker 2: deliver this vision that we're working on right now. 64 00:03:51,840 --> 00:03:53,440 Speaker 3: So it's been amazing. I've loved it. 65 00:03:53,680 --> 00:03:54,000 Speaker 2: Georgie. 66 00:03:54,040 --> 00:03:56,960 Speaker 1: I'd love to step through just practically the process that 67 00:03:57,040 --> 00:04:01,640 Speaker 1: you went through to kill the operational pattern. So can 68 00:04:01,680 --> 00:04:04,840 Speaker 1: you take me through, like how did you even identify 69 00:04:05,280 --> 00:04:08,000 Speaker 1: what were the tasks that you were doing that could 70 00:04:08,040 --> 00:04:10,880 Speaker 1: be delegated or outsourced or unamented to AI. 71 00:04:11,440 --> 00:04:13,960 Speaker 2: It's a great question. I sat down with my EA Michelle, 72 00:04:13,960 --> 00:04:15,760 Speaker 2: who's absolutely amazing, and I said, Okay, we're going to 73 00:04:15,880 --> 00:04:16,120 Speaker 2: kill me. 74 00:04:17,160 --> 00:04:17,919 Speaker 3: You're going to kill me. 75 00:04:18,440 --> 00:04:21,679 Speaker 2: So let's start with the basics. Let's look at our schedule. 76 00:04:21,720 --> 00:04:24,480 Speaker 2: So I think if anyone in a high impact. 77 00:04:24,160 --> 00:04:26,560 Speaker 3: Role or a leadership role, and your sort. 78 00:04:26,360 --> 00:04:29,520 Speaker 2: Of operational pain point is often your schedule, Like how 79 00:04:29,560 --> 00:04:32,479 Speaker 2: do I shot up for everybody? And I just said, 80 00:04:32,520 --> 00:04:34,480 Speaker 2: let's start the basics. Let's just look at my week, 81 00:04:34,680 --> 00:04:37,000 Speaker 2: Let's look at my schedule. I looked at my schedule, 82 00:04:37,000 --> 00:04:38,760 Speaker 2: and hiring was one of the areas that I was 83 00:04:38,800 --> 00:04:41,680 Speaker 2: spending the most time in, and I was reflecting that 84 00:04:42,000 --> 00:04:44,880 Speaker 2: quite often in the hiring process, I'm thinking about feedback. 85 00:04:44,960 --> 00:04:46,760 Speaker 3: I'm writing feedback down. 86 00:04:46,800 --> 00:04:49,800 Speaker 2: I maybe don't pay full attention because I haven't had 87 00:04:49,839 --> 00:04:52,880 Speaker 2: time to sort of be completely immersed in a candidates 88 00:04:52,920 --> 00:04:55,800 Speaker 2: experience and background. And I worked out that I would 89 00:04:55,839 --> 00:04:58,240 Speaker 2: say sometimes up to fifty percent of my schedule is 90 00:04:58,279 --> 00:05:01,400 Speaker 2: interviewing people, even whether we you have roles, don't have roles. 91 00:05:01,440 --> 00:05:03,360 Speaker 2: I'm just super curious about meeting the best talent in 92 00:05:03,440 --> 00:05:08,960 Speaker 2: the world. So I thought, I'm probably spending anything up 93 00:05:09,040 --> 00:05:11,680 Speaker 2: to like twenty to thirty hours a week in the 94 00:05:11,800 --> 00:05:16,160 Speaker 2: admin of interviewing. So I filt out a tool which 95 00:05:16,160 --> 00:05:19,679 Speaker 2: are called Scout, which has enabled me to, I think, 96 00:05:19,760 --> 00:05:22,960 Speaker 2: save twenty to twenty five hours a week so I 97 00:05:23,000 --> 00:05:24,960 Speaker 2: can be completely present in an interview. 98 00:05:25,320 --> 00:05:26,080 Speaker 3: So what it does. 99 00:05:26,279 --> 00:05:29,040 Speaker 2: I have given all of the context and information about 100 00:05:29,040 --> 00:05:32,000 Speaker 2: our company, all of the great hires we've made, all 101 00:05:32,040 --> 00:05:35,479 Speaker 2: of the culture and values we have, I have helped 102 00:05:35,480 --> 00:05:39,159 Speaker 2: it understand the type of characteristics and traits that I 103 00:05:39,200 --> 00:05:42,440 Speaker 2: would like to fire in a new candidate. We are 104 00:05:42,520 --> 00:05:45,599 Speaker 2: beta testing a tool at the moment called it's a 105 00:05:45,680 --> 00:05:48,479 Speaker 2: working title just Culture Test, which allows people in the 106 00:05:48,520 --> 00:05:53,120 Speaker 2: interview process to sort of pre interviewing have a flavor 107 00:05:53,120 --> 00:05:54,760 Speaker 2: and a taste of what it might be like to 108 00:05:54,800 --> 00:05:58,400 Speaker 2: work here, and they're given some scenarios, they're given some 109 00:05:59,480 --> 00:06:02,320 Speaker 2: scoring metrics on sort of how they think about the 110 00:06:02,320 --> 00:06:04,440 Speaker 2: world and themselves. And I think it allows them to 111 00:06:04,440 --> 00:06:07,799 Speaker 2: shut with autonomy and independence before entering into the interview process, 112 00:06:07,839 --> 00:06:10,880 Speaker 2: and it allows us to understand is this person aligned 113 00:06:10,920 --> 00:06:13,200 Speaker 2: to this particular role and the values and the traits 114 00:06:13,200 --> 00:06:16,679 Speaker 2: that we've expect. It doesn't mean anyone technically passes or fails. 115 00:06:16,800 --> 00:06:19,800 Speaker 2: It's an alignment process because I think it's really important 116 00:06:19,920 --> 00:06:23,599 Speaker 2: for anyone in an interview process to have the visibility 117 00:06:23,600 --> 00:06:26,320 Speaker 2: and understanding of whether I am a good fit because 118 00:06:26,360 --> 00:06:28,600 Speaker 2: I having interviewed myself or I think it can be 119 00:06:28,600 --> 00:06:30,719 Speaker 2: frustrating whether you're sort of in this sort of ambiguity 120 00:06:30,760 --> 00:06:32,640 Speaker 2: in an interview process. We've got out a tool called 121 00:06:32,640 --> 00:06:35,200 Speaker 2: culture Test, which allows people to have a peak under 122 00:06:35,240 --> 00:06:37,680 Speaker 2: the hood. It allows us to understand how aligned they are. 123 00:06:37,680 --> 00:06:40,200 Speaker 2: So I've let them a lot of the information about 124 00:06:40,200 --> 00:06:44,120 Speaker 2: culture Test and what kind of traits and characteristics we were. 125 00:06:44,000 --> 00:06:45,280 Speaker 3: Looking for in certain roles. 126 00:06:45,720 --> 00:06:47,640 Speaker 2: So in the pre interview stage, now. 127 00:06:47,560 --> 00:06:49,960 Speaker 3: Essentially I can feed it the candidate CV. 128 00:06:50,279 --> 00:06:53,640 Speaker 2: I can feed them, the potential culture test results, any 129 00:06:53,760 --> 00:06:56,760 Speaker 2: referrals or information we have about that candidate pre interview. 130 00:06:57,279 --> 00:06:58,400 Speaker 3: It gives me kind of an. 131 00:06:58,400 --> 00:07:02,400 Speaker 2: Overview of what that candidate strengths are, what potential some 132 00:07:02,440 --> 00:07:04,360 Speaker 2: of the watch points are, and then it gives me 133 00:07:04,520 --> 00:07:07,839 Speaker 2: four amazing questions to ask the candidate in the interview 134 00:07:07,920 --> 00:07:11,560 Speaker 2: based on the role requirements. Then any watch points that 135 00:07:11,600 --> 00:07:13,800 Speaker 2: I think it needs to be qualified, so I go 136 00:07:13,880 --> 00:07:16,680 Speaker 2: completely prepared into the interview. That takes about. 137 00:07:16,680 --> 00:07:17,640 Speaker 3: Forty five seconds. 138 00:07:17,920 --> 00:07:20,280 Speaker 2: Now, so I can go in completely prepared in forty 139 00:07:20,320 --> 00:07:23,800 Speaker 2: five seconds. I can be completely present in the interview 140 00:07:23,840 --> 00:07:26,680 Speaker 2: as well, because I'm not searching or seeking another question. 141 00:07:26,840 --> 00:07:29,240 Speaker 2: I'm trying to qualify answers. And then I have these 142 00:07:29,240 --> 00:07:31,800 Speaker 2: four questions that I know what I'm looking for and 143 00:07:31,920 --> 00:07:32,640 Speaker 2: searching for. 144 00:07:33,120 --> 00:07:34,040 Speaker 3: It means I can. 145 00:07:33,920 --> 00:07:38,120 Speaker 2: Then drop my feedback into the tool as well, and 146 00:07:38,360 --> 00:07:43,120 Speaker 2: it gives me a completely consolidated candidate overview of the interview, 147 00:07:43,200 --> 00:07:46,800 Speaker 2: my feedback, their culture test score and whether they're aligned. 148 00:07:46,840 --> 00:07:49,240 Speaker 2: And then I basically debate backwards and forwards with the 149 00:07:49,360 --> 00:07:51,120 Speaker 2: tool to say whether I actually no, I felt that 150 00:07:51,160 --> 00:07:53,600 Speaker 2: in the room they were a little bit more excitable 151 00:07:53,960 --> 00:07:56,840 Speaker 2: or they seemed really passionate and dedicated, so perhaps the 152 00:07:56,880 --> 00:07:59,080 Speaker 2: read of the feedback isn't correct and we end up 153 00:07:59,120 --> 00:08:01,960 Speaker 2: with a fantastic summary that we can share with the candidate. 154 00:08:02,360 --> 00:08:05,000 Speaker 2: And it allows me to almost remove any bias that 155 00:08:05,080 --> 00:08:07,440 Speaker 2: I might have as well, because sometimes it will catch 156 00:08:07,480 --> 00:08:11,280 Speaker 2: me on something be adjusting in real time or sort 157 00:08:11,320 --> 00:08:13,880 Speaker 2: of saying that you spend longer with this candidate than 158 00:08:13,920 --> 00:08:16,400 Speaker 2: the other candidate. Is that something you need to reflect 159 00:08:16,440 --> 00:08:18,640 Speaker 2: on what time of day it is as well. I 160 00:08:18,720 --> 00:08:20,680 Speaker 2: tend to work much better in the afternoons and later. 161 00:08:20,720 --> 00:08:22,840 Speaker 2: Stuff I've interviewed someone in the morning, it can say 162 00:08:22,880 --> 00:08:24,920 Speaker 2: you interviewed them in the morning. Was there something that 163 00:08:24,960 --> 00:08:27,600 Speaker 2: we needed to change the time on? So it's allowed 164 00:08:27,640 --> 00:08:30,480 Speaker 2: me to build a framework and reduce hours and hours 165 00:08:30,480 --> 00:08:32,959 Speaker 2: of time and show there's a human in an interview 166 00:08:33,000 --> 00:08:36,160 Speaker 2: as well, where I'm just in deep curiosity mode, not 167 00:08:36,280 --> 00:08:39,600 Speaker 2: thinking necessary about I'm going to structure every question, how 168 00:08:39,640 --> 00:08:41,440 Speaker 2: I'm going to make sure that the feedback is correct. 169 00:08:41,480 --> 00:08:44,520 Speaker 2: I can just read their body language. I can ensure 170 00:08:44,559 --> 00:08:49,720 Speaker 2: that I'm present and really attuned to what I think 171 00:08:49,760 --> 00:08:51,959 Speaker 2: that they might bring and what we can offer them 172 00:08:51,960 --> 00:08:55,480 Speaker 2: as a candidate. So it saved me dramatic amounts of 173 00:08:55,520 --> 00:08:56,640 Speaker 2: time every single week. 174 00:08:56,880 --> 00:09:00,360 Speaker 1: I love that example. I want to digg into how 175 00:09:00,400 --> 00:09:03,760 Speaker 1: you built that, Like is this something that anyone can build, 176 00:09:03,800 --> 00:09:06,079 Speaker 1: you know, with a tool like report, which is a 177 00:09:06,160 --> 00:09:09,600 Speaker 1: vibe coding tool for mere mortals who are not programmers. 178 00:09:10,040 --> 00:09:12,640 Speaker 1: Or is this something where you built a GPT and 179 00:09:12,760 --> 00:09:15,680 Speaker 1: chat JPT so or did you have a programmer help you? 180 00:09:15,720 --> 00:09:16,560 Speaker 1: What did that look like? 181 00:09:17,160 --> 00:09:21,080 Speaker 2: I built it in a GPT. I sat down and 182 00:09:21,440 --> 00:09:23,520 Speaker 2: mapped out the process end to end. I worked with 183 00:09:23,600 --> 00:09:26,480 Speaker 2: GPT a lot, so it has a understanding of who 184 00:09:26,520 --> 00:09:28,720 Speaker 2: I am, how I work, or you know, the kind 185 00:09:28,720 --> 00:09:31,680 Speaker 2: of leader in sort of character I am, and so 186 00:09:31,800 --> 00:09:34,240 Speaker 2: it sort of understands some of my watch points when 187 00:09:34,240 --> 00:09:36,679 Speaker 2: I'm interviewing with somebody. And then I sat down with 188 00:09:36,720 --> 00:09:38,640 Speaker 2: our data scientists. I said, look, I think I've got 189 00:09:38,640 --> 00:09:40,280 Speaker 2: something here, and I would like to spend some time 190 00:09:40,320 --> 00:09:42,480 Speaker 2: just qualifying whether you think I have to And we 191 00:09:42,520 --> 00:09:45,600 Speaker 2: asked the GPT to build it. So we challenged it 192 00:09:45,640 --> 00:09:47,800 Speaker 2: to build it for us, and I gave it everything 193 00:09:47,800 --> 00:09:50,640 Speaker 2: that I wanted to achieve. I spoke to it a lot, 194 00:09:50,760 --> 00:09:52,640 Speaker 2: so it wasn't just entire I kind of had a 195 00:09:52,640 --> 00:09:56,320 Speaker 2: conversation with it, explained my pain points, explained what I 196 00:09:56,360 --> 00:09:59,600 Speaker 2: wanted to create, what I think I wanted it to show, 197 00:09:59,679 --> 00:10:01,880 Speaker 2: what it needed to do for me, and we went 198 00:10:01,920 --> 00:10:04,800 Speaker 2: back and forth like a team, and we brainstormed with 199 00:10:04,840 --> 00:10:07,160 Speaker 2: the GPT and eventually it builds itself. 200 00:10:07,280 --> 00:10:11,120 Speaker 1: If you think Georgie's first DAI experiment was wild, wait 201 00:10:11,200 --> 00:10:14,480 Speaker 1: until you hear what she built next. In the second half, 202 00:10:14,600 --> 00:10:18,280 Speaker 1: she opens the door to her AI writer's room, a 203 00:10:18,320 --> 00:10:21,920 Speaker 1: team of virtual creative spiring partners she calls on to 204 00:10:22,040 --> 00:10:26,040 Speaker 1: challenge her thinking and sharpen her storytelling. And the implications 205 00:10:26,080 --> 00:10:30,960 Speaker 1: for leadership are huge. So stick around because what she 206 00:10:31,120 --> 00:10:34,840 Speaker 1: shares next might just spark your own I could automate 207 00:10:34,920 --> 00:10:41,840 Speaker 1: that moment. If you're looking for more tips to improve 208 00:10:41,880 --> 00:10:44,439 Speaker 1: the way you work can live. I write a short 209 00:10:44,480 --> 00:10:47,920 Speaker 1: weekly newsletter that contains tactics I've discovered that have helped 210 00:10:47,960 --> 00:10:51,119 Speaker 1: me personally. You can sign up for that at Amantha 211 00:10:51,320 --> 00:10:59,679 Speaker 1: dot com. That's Amantha dot com. That is amazing. I 212 00:11:00,160 --> 00:11:03,040 Speaker 1: love to hear a couple of other examples of where 213 00:11:03,360 --> 00:11:05,880 Speaker 1: AI has completely changed your workflows. 214 00:11:06,400 --> 00:11:07,040 Speaker 3: Absolutely. 215 00:11:07,440 --> 00:11:11,400 Speaker 2: I have this deep feeling around AI that it is 216 00:11:11,440 --> 00:11:13,480 Speaker 2: one of our greatest tools. But my fear is that 217 00:11:13,640 --> 00:11:16,320 Speaker 2: it will sometimes take away the most important thing that 218 00:11:16,360 --> 00:11:20,839 Speaker 2: we have, which is our ability to summarize intellectually really 219 00:11:20,880 --> 00:11:22,839 Speaker 2: important problems and challenges. 220 00:11:22,960 --> 00:11:26,040 Speaker 3: Because I think one of the biggest skills that a leader. 221 00:11:25,760 --> 00:11:28,680 Speaker 2: Can learn over time is the ability to assimilate and 222 00:11:28,840 --> 00:11:35,320 Speaker 2: summarize information and then take that information you distribute it 223 00:11:35,320 --> 00:11:38,440 Speaker 2: into an organization, distribute it into a team, understanding how 224 00:11:38,440 --> 00:11:40,800 Speaker 2: the sales team might want to receive it, understanding how 225 00:11:41,280 --> 00:11:42,400 Speaker 2: a data science. 226 00:11:42,120 --> 00:11:43,080 Speaker 3: Team wants to receive it. 227 00:11:43,080 --> 00:11:45,400 Speaker 2: Because your job as a leader is to take a 228 00:11:45,480 --> 00:11:49,239 Speaker 2: team on a journey with you. So I took inspiration 229 00:11:49,440 --> 00:11:52,680 Speaker 2: from the great writing machines of the world, and I think, 230 00:11:52,720 --> 00:11:55,880 Speaker 2: and I looked to Hollywood, and I looked to Hollywood Studios, 231 00:11:55,880 --> 00:11:59,760 Speaker 2: and I looked at the great narrative creators in the world. 232 00:12:00,040 --> 00:12:01,840 Speaker 3: I thought, well, what do they have. They have a 233 00:12:01,880 --> 00:12:02,600 Speaker 3: writer's room. 234 00:12:03,080 --> 00:12:06,280 Speaker 2: So quite often they will have building out narrative or 235 00:12:06,320 --> 00:12:11,480 Speaker 2: building out scripting. They will have multiple writers attacking a 236 00:12:11,840 --> 00:12:15,880 Speaker 2: challenge or a storyline from all different perspectives, and they'll 237 00:12:15,880 --> 00:12:18,800 Speaker 2: all come together to debate and discuss those different points 238 00:12:18,800 --> 00:12:21,320 Speaker 2: of view. And I thought, well, what an interesting thing 239 00:12:21,480 --> 00:12:24,760 Speaker 2: to try and build Because I don't want chat GPT 240 00:12:24,960 --> 00:12:27,000 Speaker 2: to write for me, but I want it to challenge 241 00:12:27,000 --> 00:12:29,520 Speaker 2: what I'm writing. So I asked it whether I thought 242 00:12:29,520 --> 00:12:31,840 Speaker 2: it could build out a writer's room for me, and 243 00:12:31,960 --> 00:12:35,440 Speaker 2: we would have different personas as each writer to anyone 244 00:12:35,520 --> 00:12:38,240 Speaker 2: from the sort of the format and the function expert, 245 00:12:38,559 --> 00:12:44,720 Speaker 2: to the disruptor, to the emotional story arc to the 246 00:12:44,760 --> 00:12:47,760 Speaker 2: person who maybe wrote for sort of more jeopardy and 247 00:12:47,880 --> 00:12:50,640 Speaker 2: danger like. So I basically constructed a writers I said, look, 248 00:12:50,640 --> 00:12:52,640 Speaker 2: what are the eight archetypes of a writer's room. 249 00:12:52,480 --> 00:12:53,760 Speaker 3: That you might find in Hollywood? 250 00:12:53,760 --> 00:12:55,440 Speaker 2: What are the great script writers? 251 00:12:55,840 --> 00:12:56,520 Speaker 3: Do you think we. 252 00:12:56,520 --> 00:12:58,199 Speaker 2: Could build out a writer's room or all of those 253 00:12:58,200 --> 00:13:01,760 Speaker 2: personas exist? And if I write something and I can 254 00:13:01,800 --> 00:13:03,840 Speaker 2: call on you, I can literally say, please bring the 255 00:13:03,840 --> 00:13:06,560 Speaker 2: writer's room to this piece of communication. 256 00:13:06,640 --> 00:13:07,400 Speaker 3: And challenge it. 257 00:13:07,920 --> 00:13:10,640 Speaker 2: So I now have a writer's room to everything that 258 00:13:10,720 --> 00:13:13,760 Speaker 2: I create, which I think I have got to a 259 00:13:13,800 --> 00:13:14,760 Speaker 2: good enough place. 260 00:13:14,920 --> 00:13:16,240 Speaker 3: I will then put it into. 261 00:13:16,120 --> 00:13:18,280 Speaker 2: The writer's room and they'll challenge it and say the 262 00:13:18,280 --> 00:13:20,080 Speaker 2: emotional art isn't strong enough. 263 00:13:20,040 --> 00:13:21,719 Speaker 3: Or this could be format about that. 264 00:13:21,720 --> 00:13:23,640 Speaker 2: Actually, the disrupture will come in and say, you could 265 00:13:23,679 --> 00:13:27,840 Speaker 2: create such a more compelling narrative if you put in 266 00:13:27,840 --> 00:13:30,800 Speaker 2: a little bit of jeopardy, so they don't write for me, 267 00:13:31,440 --> 00:13:35,199 Speaker 2: because I am extremely conscious and I think it's one 268 00:13:35,240 --> 00:13:38,720 Speaker 2: of our greatest challenges that we are going to lose 269 00:13:39,440 --> 00:13:43,360 Speaker 2: some of the things that make humans extremely special, and 270 00:13:43,400 --> 00:13:46,439 Speaker 2: that is storytelling, and that is the ability to summarize 271 00:13:46,520 --> 00:13:50,520 Speaker 2: and distill information to the world in a way. 272 00:13:50,280 --> 00:13:51,640 Speaker 3: That is well understood. 273 00:13:51,679 --> 00:13:53,319 Speaker 2: And I think about Google Maps, It's like, when was 274 00:13:53,320 --> 00:13:55,920 Speaker 2: the last time you really remember the direction to somewhere 275 00:13:56,120 --> 00:13:58,080 Speaker 2: unless it was somewhere within sort of twenty miles of 276 00:13:58,080 --> 00:13:58,520 Speaker 2: your home. 277 00:13:59,160 --> 00:14:02,360 Speaker 3: So I am concerned that we're. 278 00:14:02,160 --> 00:14:05,040 Speaker 2: Going to lose our way, and we're going to lose 279 00:14:05,080 --> 00:14:07,520 Speaker 2: how to remember how to do things and do things 280 00:14:07,559 --> 00:14:09,240 Speaker 2: well in the same way we just rely on Google. 281 00:14:09,280 --> 00:14:11,959 Speaker 2: That's we leave the house and we hand over the 282 00:14:12,000 --> 00:14:14,360 Speaker 2: direction of our journey to somebody else. I would hate 283 00:14:14,400 --> 00:14:16,760 Speaker 2: to think we were handing over our creativity and our 284 00:14:16,800 --> 00:14:18,520 Speaker 2: consciousness to something. 285 00:14:18,400 --> 00:14:20,680 Speaker 1: That's really cool and sorry, just to give me an 286 00:14:20,760 --> 00:14:23,280 Speaker 1: idea of like how you've built this, Is this the 287 00:14:23,320 --> 00:14:26,800 Speaker 1: one GPAT that you've built, or have you built several 288 00:14:26,840 --> 00:14:29,080 Speaker 1: that each have a different voice that you can call, 289 00:14:29,120 --> 00:14:30,800 Speaker 1: and what does it look like in practice? 290 00:14:30,920 --> 00:14:33,560 Speaker 2: It's a GPT called the writer's room that I'll either 291 00:14:33,880 --> 00:14:36,640 Speaker 2: I can either go into it specifically and say I've 292 00:14:36,680 --> 00:14:39,920 Speaker 2: written a piece of comms, or I want to create 293 00:14:39,960 --> 00:14:43,880 Speaker 2: a narrative memo for the business on the specific topic, 294 00:14:43,920 --> 00:14:46,720 Speaker 2: and I need to make sure that it's relevant for 295 00:14:46,760 --> 00:14:49,280 Speaker 2: a sales team, a marketing team, and a social team, 296 00:14:49,320 --> 00:14:52,240 Speaker 2: but also the data science team. This is what I've written, 297 00:14:52,240 --> 00:14:55,080 Speaker 2: and someone will, you know, they will take its particular 298 00:14:55,200 --> 00:14:59,120 Speaker 2: GPT and challenge that. Or if I'm writing anywhere in 299 00:14:59,160 --> 00:15:02,320 Speaker 2: my GPT any chat, I can call on it, like 300 00:15:02,320 --> 00:15:03,960 Speaker 2: I say, writer's rim, Can you kin'd just come and 301 00:15:04,040 --> 00:15:06,720 Speaker 2: check this for me? And sometimes it hallucinates and I 302 00:15:06,800 --> 00:15:08,760 Speaker 2: have to go, Okay, no, I don't think you've got 303 00:15:08,760 --> 00:15:10,640 Speaker 2: that quite way to go back out. So I am 304 00:15:10,720 --> 00:15:14,200 Speaker 2: super aware that it has sometimes it's limitations, but I 305 00:15:14,200 --> 00:15:18,440 Speaker 2: think it's an extraordinary ally. I think AI is an 306 00:15:18,480 --> 00:15:23,119 Speaker 2: extraordinary ally to women in the boardroom and women in leadership, 307 00:15:23,480 --> 00:15:29,200 Speaker 2: because I think there is a generalized perception, and I 308 00:15:29,240 --> 00:15:33,800 Speaker 2: say generalized, and I don't mean specifically that men bring 309 00:15:33,920 --> 00:15:40,720 Speaker 2: logic and practicality to a boardroom and extremely efficient operationally, 310 00:15:41,120 --> 00:15:43,640 Speaker 2: and I mean this is a very generalized perspective where 311 00:15:43,680 --> 00:15:50,800 Speaker 2: women bring high amounts of human intelligence, emotional intelligence, powers. 312 00:15:50,440 --> 00:15:52,760 Speaker 3: Of persuasion powers. 313 00:15:52,640 --> 00:15:56,000 Speaker 2: Think four dimensionally constantly being sort of playing four D chess. 314 00:15:56,160 --> 00:15:58,480 Speaker 2: We make that decision over here, what does it mean 315 00:15:58,520 --> 00:16:00,360 Speaker 2: for this team over here? How do I get that 316 00:16:00,400 --> 00:16:02,440 Speaker 2: team over here to really understand the purpose of what 317 00:16:02,480 --> 00:16:05,280 Speaker 2: we're trying to do over there when it actually it 318 00:16:05,280 --> 00:16:07,280 Speaker 2: may impact what they're doing over here in a negative ways. 319 00:16:07,280 --> 00:16:08,640 Speaker 2: So they're very good sort of thing that I'd say, 320 00:16:09,160 --> 00:16:12,560 Speaker 2: the four D image And imagine if you and where 321 00:16:12,600 --> 00:16:15,160 Speaker 2: the areas have perhapsally felt a little bit less confident, 322 00:16:15,320 --> 00:16:18,840 Speaker 2: you know, the logic, practicality, operating, and I mean very generalized, 323 00:16:19,200 --> 00:16:22,880 Speaker 2: you had a superpower in your immediate zone or sort 324 00:16:22,880 --> 00:16:26,040 Speaker 2: of influence that you can absolutely double down on your 325 00:16:26,080 --> 00:16:30,160 Speaker 2: superpower with complete confidence that logic, practicality and operations is 326 00:16:30,200 --> 00:16:33,280 Speaker 2: being taken care of. Imagine a world where that happens 327 00:16:33,400 --> 00:16:36,400 Speaker 2: every single day and women realize that suddenly you can 328 00:16:36,400 --> 00:16:42,680 Speaker 2: save time. Logic, practicality, operations can be built and used 329 00:16:42,720 --> 00:16:45,560 Speaker 2: and built elsewhere, which you can then choose to use 330 00:16:45,680 --> 00:16:49,000 Speaker 2: not to use whenever you need to. Imagine that space 331 00:16:49,080 --> 00:16:53,240 Speaker 2: that women could operate in and Suddenly leadership actually becomes 332 00:16:53,240 --> 00:16:56,960 Speaker 2: the human intelligence in the room, the emotional intelligence in 333 00:16:57,000 --> 00:16:58,640 Speaker 2: the room, because you're going to be able to hand 334 00:16:58,640 --> 00:17:06,120 Speaker 2: over practicality, frameworking, strategy to an extent, operations to your 335 00:17:06,240 --> 00:17:09,439 Speaker 2: copilot in AI, whatever tool that you're using, and the 336 00:17:09,480 --> 00:17:13,440 Speaker 2: board is completely different. And that excites me massively because 337 00:17:13,440 --> 00:17:17,520 Speaker 2: I think, when moving towards in the next decade, who 338 00:17:17,560 --> 00:17:20,600 Speaker 2: brings a human intelligence to this room, who brings the 339 00:17:20,640 --> 00:17:22,480 Speaker 2: emotional intelligence to social IQ? 340 00:17:23,119 --> 00:17:23,640 Speaker 3: Who are they? 341 00:17:24,040 --> 00:17:26,040 Speaker 2: Because they are the leaders of companies, they are the 342 00:17:26,040 --> 00:17:28,960 Speaker 2: purpose drivers, they are the mission creators. They're the people 343 00:17:29,000 --> 00:17:32,200 Speaker 2: that can galvanize a room human beings to go with 344 00:17:32,240 --> 00:17:37,640 Speaker 2: you on a complex, interesting, intellectually challenging and stimulating journey. 345 00:17:38,200 --> 00:17:38,840 Speaker 3: Imagine that. 346 00:17:39,560 --> 00:17:41,800 Speaker 2: I think it's going to look entirely different. 347 00:17:41,480 --> 00:17:44,160 Speaker 3: In the next five years. And I am immensely excited 348 00:17:44,200 --> 00:17:44,560 Speaker 3: about that. 349 00:17:44,720 --> 00:17:47,680 Speaker 1: I love that, And it's I think a good segue 350 00:17:47,840 --> 00:17:53,080 Speaker 1: into understanding, like, you're obviously using AI to augment your work, 351 00:17:53,160 --> 00:17:55,680 Speaker 1: like with the writer's room, but you're using it to 352 00:17:55,800 --> 00:17:59,240 Speaker 1: save tens of hours probably more per week. Can you 353 00:17:59,240 --> 00:18:03,480 Speaker 1: give me an example or two where you've really consciously 354 00:18:03,600 --> 00:18:08,119 Speaker 1: used that time that you've won back to applied. You 355 00:18:08,160 --> 00:18:09,679 Speaker 1: know what you've just been describing. 356 00:18:10,520 --> 00:18:15,600 Speaker 2: I use it predominantly and primarily on people. And I 357 00:18:15,640 --> 00:18:18,760 Speaker 2: would say future planning. But the idea that I can 358 00:18:18,960 --> 00:18:24,359 Speaker 2: now take process away and spend it on people instead, 359 00:18:24,920 --> 00:18:27,560 Speaker 2: that twenty minutes that you can spend with a teammate 360 00:18:27,720 --> 00:18:31,600 Speaker 2: or a team or you know, someone that you work 361 00:18:31,720 --> 00:18:35,840 Speaker 2: with but maybe not work alongside, is so invaluable. And 362 00:18:36,160 --> 00:18:38,159 Speaker 2: I mean, we'll get into first principles, but one of 363 00:18:38,160 --> 00:18:40,959 Speaker 2: our first principles of our companies were in person first. 364 00:18:41,480 --> 00:18:44,800 Speaker 2: I think there is no greater experience in life than 365 00:18:44,960 --> 00:18:48,200 Speaker 2: working on an audacious goal with a group of ambitious 366 00:18:48,240 --> 00:18:52,600 Speaker 2: people and achieving it and doing it together and in person. 367 00:18:53,280 --> 00:18:58,600 Speaker 2: And I go back to how I learned, how I 368 00:18:58,640 --> 00:19:02,679 Speaker 2: grew as a leader and as a co worker. I 369 00:19:02,800 --> 00:19:06,920 Speaker 2: had the unique experience of doing it in person for 370 00:19:07,040 --> 00:19:12,959 Speaker 2: twenty years. I learned pace, urgency, great leadership qualities and characteristics, 371 00:19:13,280 --> 00:19:17,719 Speaker 2: terrible leadership qualities and characteristics. So every minute that I 372 00:19:17,760 --> 00:19:20,919 Speaker 2: have saved, I spend it back with people and on 373 00:19:21,040 --> 00:19:24,560 Speaker 2: future planning, because if I'm thinking about the future and 374 00:19:24,600 --> 00:19:27,000 Speaker 2: then spending time with the people working on them now 375 00:19:27,119 --> 00:19:31,040 Speaker 2: and understanding their vision roadmap, experiences challenges. 376 00:19:31,359 --> 00:19:32,560 Speaker 3: I will only plan for. 377 00:19:32,520 --> 00:19:35,120 Speaker 2: A better future towards the purpose that we're building for. 378 00:19:35,600 --> 00:19:38,560 Speaker 2: So it absolutely goes back to spending time on people 379 00:19:39,040 --> 00:19:44,360 Speaker 2: and planning, and it is a gift. And I have 380 00:19:44,440 --> 00:19:47,280 Speaker 2: extremely strong feelings about leaders who don't spend time with 381 00:19:47,720 --> 00:19:51,480 Speaker 2: people and teams, because it is a huge loss. When 382 00:19:51,480 --> 00:19:53,359 Speaker 2: you look at the definition of a company. I think 383 00:19:53,400 --> 00:19:56,080 Speaker 2: Steven speaks about at this a lot, it's a group 384 00:19:56,119 --> 00:19:59,200 Speaker 2: of people. That is what a company is. So if 385 00:19:59,200 --> 00:20:02,280 Speaker 2: you're not spending time your most precious resource and the 386 00:20:02,280 --> 00:20:05,240 Speaker 2: thing that matters most, which is the people, then you're 387 00:20:05,280 --> 00:20:07,159 Speaker 2: never going to succeed as a leader and a company 388 00:20:07,160 --> 00:20:09,240 Speaker 2: in the way that I would like to see people 389 00:20:09,240 --> 00:20:09,520 Speaker 2: do it. 390 00:20:10,640 --> 00:20:13,920 Speaker 1: What I love most about Georgie's approach isn't just the 391 00:20:13,960 --> 00:20:17,360 Speaker 1: time that she's saved, it's what she's chosen to do 392 00:20:17,440 --> 00:20:21,240 Speaker 1: with it. She's proof that when leaders use AI intentionally, 393 00:20:21,680 --> 00:20:24,240 Speaker 1: it can clear the clutter and create space for the 394 00:20:24,240 --> 00:20:28,359 Speaker 1: most human parts of our jobs, like listening, inspiring, and 395 00:20:28,440 --> 00:20:32,800 Speaker 1: imagining the future. Now. As a special bonus this week, 396 00:20:32,920 --> 00:20:35,960 Speaker 1: I'm releasing a part two of my chat with Georgie 397 00:20:36,040 --> 00:20:38,520 Speaker 1: because when we spoke, I couldn't help it go extra 398 00:20:38,560 --> 00:20:42,159 Speaker 1: deep and dive into behind the scenes of working with 399 00:20:42,280 --> 00:20:46,119 Speaker 1: Stephen Bartlett and making Diary of a CEO, which is 400 00:20:46,160 --> 00:20:49,040 Speaker 1: one of my favorite podcasts. So hop back into the 401 00:20:49,080 --> 00:20:52,120 Speaker 1: podcast speed and click on part two of this interview, 402 00:20:52,200 --> 00:20:55,399 Speaker 1: where we go behind the curtains of how Diary of 403 00:20:55,480 --> 00:20:58,920 Speaker 1: a CEO actually gets put together and how they grew 404 00:20:59,000 --> 00:21:02,640 Speaker 1: it into one of the most downloaded podcasts on the planet. 405 00:21:03,080 --> 00:21:05,840 Speaker 1: If you like today's show, make sure you hit follow 406 00:21:05,960 --> 00:21:09,440 Speaker 1: on your podcast app to be alerted when new episodes drop. 407 00:21:10,000 --> 00:21:12,520 Speaker 1: How I Work was recorded on the traditional land of 408 00:21:12,520 --> 00:21:14,760 Speaker 1: the Warringery people, part of the cool And Nation