1 00:00:00,960 --> 00:00:04,920 Speaker 1: Seven notes. You're listening to the best of the Money Show. 2 00:00:05,080 --> 00:00:08,880 Speaker 2: The Money Show. Welcome to the best bits of the 3 00:00:08,960 --> 00:00:11,320 Speaker 2: Money Show. A digest of some of the most important thoughts, 4 00:00:11,320 --> 00:00:14,920 Speaker 2: comments and insights from this the last Serious Money week 5 00:00:15,000 --> 00:00:19,079 Speaker 2: of twenty twenty five. If you have more you want 6 00:00:19,120 --> 00:00:20,840 Speaker 2: to know, if there are things that you think you 7 00:00:20,880 --> 00:00:23,680 Speaker 2: need to listen to again, if perhaps there is someone 8 00:00:23,680 --> 00:00:26,079 Speaker 2: that you know who maybe does need to listen to 9 00:00:26,120 --> 00:00:28,320 Speaker 2: this this Christmas a good gift for them, of course, 10 00:00:28,640 --> 00:00:30,639 Speaker 2: there's a free link to our podcast. You can go 11 00:00:30,640 --> 00:00:33,400 Speaker 2: to our website or your podcast app and search for 12 00:00:33,479 --> 00:00:35,880 Speaker 2: The Money Show to start. Some of the news stories 13 00:00:35,880 --> 00:00:39,800 Speaker 2: that we thought were important from this important final Serious 14 00:00:39,800 --> 00:00:45,239 Speaker 2: Money week in December. First, our annual inflation unexpectedly softening 15 00:00:45,320 --> 00:00:48,760 Speaker 2: in November, edging much closer to the Reserve Bank's new 16 00:00:48,800 --> 00:00:51,519 Speaker 2: target of three percent, boosting hopes for an interest rate 17 00:00:51,560 --> 00:00:54,360 Speaker 2: cut next month, coming in at just three and a 18 00:00:54,400 --> 00:00:58,080 Speaker 2: half percent. Meat prices, I am afraid still quite high, 19 00:00:58,160 --> 00:01:01,640 Speaker 2: but plenty of other element and springing down that final 20 00:01:01,760 --> 00:01:05,959 Speaker 2: inflation rate. The big aluminium smelter in Mozambique, MOSALL is 21 00:01:05,959 --> 00:01:08,039 Speaker 2: going to be placed on care and maintenance from March 22 00:01:08,080 --> 00:01:10,640 Speaker 2: it's owner South thirty two wasn't able to get another 23 00:01:10,680 --> 00:01:14,800 Speaker 2: electricity supply. It's been negotiating with the people in Mozambique 24 00:01:14,800 --> 00:01:18,800 Speaker 2: with ESCAM. Unfortunately no joy. That's three percent of Mozambique's 25 00:01:18,840 --> 00:01:21,920 Speaker 2: GDP that's going to be switched off just before April. 26 00:01:22,400 --> 00:01:25,360 Speaker 2: And in the US, the board of Warner Brothers Discovery 27 00:01:25,400 --> 00:01:30,160 Speaker 2: rejecting the hostile Bird from Paramount Skydance. They saying that 28 00:01:30,240 --> 00:01:35,560 Speaker 2: Paramount has not given proper, adequate financing assurances. I think 29 00:01:35,560 --> 00:01:38,400 Speaker 2: that one is going to get nice and ugly over 30 00:01:38,440 --> 00:01:40,880 Speaker 2: the next couple of weeks. Tonight we bring you a 31 00:01:40,920 --> 00:01:42,760 Speaker 2: mix of stories from the world of money from the 32 00:01:42,760 --> 00:01:45,399 Speaker 2: week that has been a business book review. This week 33 00:01:45,480 --> 00:01:47,920 Speaker 2: we spoke to Ian Man, the managing director of Gateway's 34 00:01:47,920 --> 00:01:51,200 Speaker 2: Business Consultants. He looked at his top books for twenty 35 00:01:51,400 --> 00:01:52,080 Speaker 2: twenty five. 36 00:01:52,880 --> 00:01:54,960 Speaker 3: The very first book I'm going to be sharing with you. 37 00:01:56,040 --> 00:01:57,360 Speaker 3: At the back of the book, he says, this is 38 00:01:57,400 --> 00:02:00,280 Speaker 3: a book for people who don't like books on leadership management. 39 00:02:00,520 --> 00:02:01,160 Speaker 2: My kind of guy. 40 00:02:01,320 --> 00:02:01,680 Speaker 4: Yes. 41 00:02:01,960 --> 00:02:05,040 Speaker 3: Anyway, It's called Slaying the Standard. And what's most interesting 42 00:02:05,080 --> 00:02:08,359 Speaker 3: about this book is that he's the author. I don't 43 00:02:08,400 --> 00:02:10,959 Speaker 3: know him personally. He's a South African. He's brought to 44 00:02:11,040 --> 00:02:13,639 Speaker 3: think called the Alpha group, and apparently it's an extraordinarily 45 00:02:13,639 --> 00:02:17,240 Speaker 3: well they're involved in things like insurance, fitness and hospitality 46 00:02:17,240 --> 00:02:19,840 Speaker 3: and other things. But what is so interesting about the 47 00:02:19,840 --> 00:02:24,040 Speaker 3: book is that there's a lot of very practical, very 48 00:02:24,080 --> 00:02:26,839 Speaker 3: wise things in the book, but they're down to earth. 49 00:02:27,120 --> 00:02:31,320 Speaker 3: There's no rocket science yet. The point is that it's 50 00:02:31,320 --> 00:02:34,080 Speaker 3: the simple things that we should know that we don't know, 51 00:02:34,280 --> 00:02:36,600 Speaker 3: or the things that we overlook, and as you're so 52 00:02:36,720 --> 00:02:39,160 Speaker 3: busy with trying to maintain your business that you just 53 00:02:39,200 --> 00:02:41,840 Speaker 3: don't get things done. Before we do that, I want 54 00:02:41,840 --> 00:02:43,720 Speaker 3: to point out one thing because I think this is relevant. 55 00:02:45,160 --> 00:02:49,480 Speaker 3: In South Africa, the ratio of ismmes to large businesses 56 00:02:50,880 --> 00:02:56,000 Speaker 3: is ninety one to nine, so we are most South 57 00:02:56,040 --> 00:03:00,840 Speaker 3: Africans are involved in large inmmes. These are one, by 58 00:03:00,880 --> 00:03:03,880 Speaker 3: the way, he's the registered ones. Yeah, and very few 59 00:03:03,960 --> 00:03:06,359 Speaker 3: in the very big ones. What we don't do enough 60 00:03:07,280 --> 00:03:10,200 Speaker 3: talking about when we talk about leadership or management managing 61 00:03:10,240 --> 00:03:13,760 Speaker 3: businesses is to worry about how does the smaller business 62 00:03:13,880 --> 00:03:16,520 Speaker 3: run itself? And I think that one I like most 63 00:03:16,560 --> 00:03:20,880 Speaker 3: about this book was that he's looking primarily at I 64 00:03:20,919 --> 00:03:25,040 Speaker 3: thought he was aiming primarily at the smaller, small, medium 65 00:03:25,080 --> 00:03:28,320 Speaker 3: and micro enterprise enterprise. And he's got a lot of 66 00:03:28,440 --> 00:03:30,959 Speaker 3: very very good information, a lot of good ideas that 67 00:03:31,080 --> 00:03:31,880 Speaker 3: worth talking about. 68 00:03:33,040 --> 00:03:35,560 Speaker 2: So one of the things I find interesting about so 69 00:03:35,600 --> 00:03:39,160 Speaker 2: many leadership books is you know you'll see that effect 70 00:03:39,360 --> 00:03:41,240 Speaker 2: habits of people or whatever, and they'll say, you know, 71 00:03:41,520 --> 00:03:43,960 Speaker 2: get up early, or I like to take time to 72 00:03:44,000 --> 00:03:45,920 Speaker 2: think before six in the morning. I mean, no one's 73 00:03:45,960 --> 00:03:48,280 Speaker 2: going to do that. So I'm interested by the point 74 00:03:48,360 --> 00:03:50,400 Speaker 2: you make that this is all very doable. 75 00:03:50,280 --> 00:03:52,720 Speaker 3: Very doable, very dub And I think the one thing 76 00:03:52,760 --> 00:03:57,360 Speaker 3: that starts off by saying is is this perfection isn't 77 00:03:57,400 --> 00:04:00,640 Speaker 3: what you're looking for. You're not looking for flaws. It's 78 00:04:01,120 --> 00:04:03,640 Speaker 3: you're going to have to accept that that thing doesn't exist. 79 00:04:04,160 --> 00:04:07,680 Speaker 3: What's far more important than perfection we are going to 80 00:04:07,760 --> 00:04:11,880 Speaker 3: be perfect, is we're going to progress. Now, there's not 81 00:04:11,920 --> 00:04:15,200 Speaker 3: a new idea. Her way back in twenty and eleven, 82 00:04:15,280 --> 00:04:19,120 Speaker 3: if my memory is certainly correctly, Theresa Annabio from Harvard 83 00:04:19,480 --> 00:04:22,479 Speaker 3: wrote a book called The Progress Principle, and what she 84 00:04:22,600 --> 00:04:28,000 Speaker 3: did was she proved that the biggest motivator of human 85 00:04:28,040 --> 00:04:30,760 Speaker 3: beings because we have to motivate people to make progress 86 00:04:31,800 --> 00:04:34,200 Speaker 3: is not what we always thought it was. It's not 87 00:04:34,279 --> 00:04:36,400 Speaker 3: that you're having fun at work. It's not that you 88 00:04:36,440 --> 00:04:38,880 Speaker 3: have friends at work. It's not even that you're well paid. 89 00:04:39,120 --> 00:04:41,640 Speaker 3: It's not that your boss is nice to you. None 90 00:04:41,680 --> 00:04:43,640 Speaker 3: of those things count. In fact, all of those things 91 00:04:43,640 --> 00:04:46,279 Speaker 3: together don't count as much as the one thing she 92 00:04:46,360 --> 00:04:49,960 Speaker 3: says is makes the biggest difference, and that is I 93 00:04:50,040 --> 00:04:54,640 Speaker 3: feel I'm making progress. So this this feeling of efficacy, 94 00:04:55,240 --> 00:04:58,800 Speaker 3: I'm actually getting better at something. Rather so somebody can say, 95 00:04:58,800 --> 00:05:00,400 Speaker 3: what was the best thing that happened to you today, 96 00:05:00,640 --> 00:05:04,159 Speaker 3: wasn't it You've got the raids. I went to my bus, 97 00:05:04,200 --> 00:05:06,360 Speaker 3: I set him I've got a project I want to do, 98 00:05:06,440 --> 00:05:09,400 Speaker 3: and you see, go ahead, Yes, go ahead. And that's 99 00:05:09,440 --> 00:05:11,480 Speaker 3: a feeling that my life is getting better and I'm 100 00:05:11,480 --> 00:05:14,440 Speaker 3: making progress is really really important. I think that one 101 00:05:14,440 --> 00:05:17,279 Speaker 3: of the things he's specialist here is it's not perfection. 102 00:05:17,400 --> 00:05:20,279 Speaker 3: We're not looking for flaws perfection. All we're looking for 103 00:05:20,640 --> 00:05:23,200 Speaker 3: is making progress, and you're just getting a little better 104 00:05:23,240 --> 00:05:25,320 Speaker 3: all the time. And I think there was that's a 105 00:05:25,360 --> 00:05:28,080 Speaker 3: profound thought. And we've got to get away from the 106 00:05:28,440 --> 00:05:31,400 Speaker 3: perfections and stuff because it's nonsense. It doesn't work. So 107 00:05:31,440 --> 00:05:35,039 Speaker 3: I thought there was a very very useful point. He 108 00:05:35,120 --> 00:05:37,560 Speaker 3: also makes another useful point, and most of these points, 109 00:05:37,600 --> 00:05:39,600 Speaker 3: by the way, on not points that no one has 110 00:05:39,640 --> 00:05:44,320 Speaker 3: ever mentioned before, which is quite nice. And the next 111 00:05:44,320 --> 00:05:48,039 Speaker 3: one he talks about is having exceptional staff, and he 112 00:05:48,080 --> 00:05:51,440 Speaker 3: said he wanted exceptional staff at one time realized what 113 00:05:51,520 --> 00:05:54,440 Speaker 3: a bad idea that was. Well, there's there's a. 114 00:05:54,320 --> 00:05:54,719 Speaker 2: Lot of it. 115 00:05:55,040 --> 00:05:57,200 Speaker 3: There's a lot of books, a number of books I've 116 00:05:57,200 --> 00:06:01,240 Speaker 3: read about teams made up of really straight players, particularly 117 00:06:01,279 --> 00:06:05,320 Speaker 3: football for some reason. Other we have a group of superstars, 118 00:06:05,560 --> 00:06:08,880 Speaker 3: they don't do particularly well. You're better of having people 119 00:06:09,040 --> 00:06:11,800 Speaker 3: not superstars, who play together. And the type of things 120 00:06:11,800 --> 00:06:14,560 Speaker 3: that you want to do, you you want to get 121 00:06:14,600 --> 00:06:17,240 Speaker 3: people who are easy, who are able to get on 122 00:06:17,320 --> 00:06:19,960 Speaker 3: with other people better. You want to be sure that 123 00:06:20,000 --> 00:06:24,760 Speaker 3: you don't when you get mad at somebody. I haven't 124 00:06:24,800 --> 00:06:28,080 Speaker 3: checked this out. He says, your IQ drops seventy percent. 125 00:06:28,160 --> 00:06:29,120 Speaker 2: Yeah, I'm sure, but. 126 00:06:29,160 --> 00:06:31,880 Speaker 3: I don't wear seventies right or forties right. But your 127 00:06:31,880 --> 00:06:34,480 Speaker 3: IQ drops definitely when you start getting mad at people. 128 00:06:34,920 --> 00:06:36,760 Speaker 3: And he says that what we want to do with 129 00:06:36,839 --> 00:06:38,440 Speaker 3: our staff is we want to be sure that we 130 00:06:38,480 --> 00:06:42,520 Speaker 3: stop gossiping, we stop spreading rumors about colleagues, and we 131 00:06:42,680 --> 00:06:45,240 Speaker 3: just get and we just accept that we have to 132 00:06:45,279 --> 00:06:47,400 Speaker 3: get on with each other. That's it. I don't have 133 00:06:47,440 --> 00:06:49,560 Speaker 3: to we don't have to be friends. We certainly have 134 00:06:49,600 --> 00:06:51,960 Speaker 3: to get on with each other. And gossiping and telling 135 00:06:52,120 --> 00:06:55,960 Speaker 3: and spreading rumors about people doesn't help anyone. All obvious stuff, 136 00:06:56,080 --> 00:06:58,800 Speaker 3: but stuff we don't. We don't place much attention on. 137 00:06:59,320 --> 00:07:03,200 Speaker 3: Many talks by talk straight, and I'll talk to more 138 00:07:03,240 --> 00:07:05,359 Speaker 3: by one the other box which talks about talking straight. 139 00:07:05,720 --> 00:07:09,560 Speaker 3: He says, no sugar coating. He said, you don't. Don't. 140 00:07:10,120 --> 00:07:13,440 Speaker 3: Don't go around protecting your turf. He says, open the 141 00:07:13,440 --> 00:07:16,920 Speaker 3: playing fields. If something is going wrong, open it. What 142 00:07:17,000 --> 00:07:20,000 Speaker 3: they've done at very very one of the best run 143 00:07:20,040 --> 00:07:24,440 Speaker 3: companies I've ever come across is Netflix and the intros. 144 00:07:25,720 --> 00:07:29,239 Speaker 3: In Netflix, they have a policy that to make mistakes 145 00:07:29,320 --> 00:07:31,400 Speaker 3: is fine. We don't mind you making mistakes, or we 146 00:07:31,480 --> 00:07:34,560 Speaker 3: expect you to do we expect you to sunlight them. 147 00:07:34,880 --> 00:07:37,240 Speaker 3: So if you've messed up, just lot three million dollars 148 00:07:37,280 --> 00:07:42,560 Speaker 3: because I invest in a dog, and you get it 149 00:07:42,640 --> 00:07:45,080 Speaker 3: way together and you say, look, I invest in this 150 00:07:45,200 --> 00:07:47,800 Speaker 3: because I thought this would happen. I didn't take that 151 00:07:48,000 --> 00:07:50,320 Speaker 3: idea into account. I didn't look at this. I didn't 152 00:07:50,320 --> 00:07:53,000 Speaker 3: look at that. And you go and you tell as 153 00:07:53,080 --> 00:07:56,320 Speaker 3: many people as you possibly can. And the reason behind that, 154 00:07:56,600 --> 00:07:59,200 Speaker 3: the reason behind that is that people want to be 155 00:07:59,400 --> 00:08:01,800 Speaker 3: want to get ter all the time, and they've actually 156 00:08:01,840 --> 00:08:05,320 Speaker 3: built into their culture, a culture of Netflix is where 157 00:08:05,520 --> 00:08:09,160 Speaker 3: we're not a we're not a family, we're a team, 158 00:08:09,480 --> 00:08:11,679 Speaker 3: and if you know as good as the best player, 159 00:08:12,080 --> 00:08:13,280 Speaker 3: we're going to relegate you. 160 00:08:13,320 --> 00:08:14,320 Speaker 4: So it was very keen. 161 00:08:14,440 --> 00:08:18,280 Speaker 3: I think that that that's stimulus of getting people to 162 00:08:18,440 --> 00:08:20,640 Speaker 3: open the playing fields and work is a really good one. 163 00:08:21,880 --> 00:08:24,480 Speaker 2: And then one of the other books you've picked is 164 00:08:24,520 --> 00:08:27,240 Speaker 2: Conquering Crisis by Admiral William mcgraven. 165 00:08:28,360 --> 00:08:33,000 Speaker 3: Interesting William mccraven. I've read quite a lot of books 166 00:08:33,200 --> 00:08:35,560 Speaker 3: about the military, and it's not because I have any 167 00:08:35,600 --> 00:08:38,040 Speaker 3: respect for the idea of the military. I think one 168 00:08:38,040 --> 00:08:40,400 Speaker 3: of the biggest mistakes human beings have ever made is 169 00:08:40,440 --> 00:08:45,240 Speaker 3: to invest in things that well, so many trillions and 170 00:08:45,280 --> 00:08:49,319 Speaker 3: stuff which doesn't add much to humanity. But one of 171 00:08:49,320 --> 00:08:52,800 Speaker 3: the things mccraven does, he was he was the head 172 00:08:52,840 --> 00:08:56,160 Speaker 3: of Special Ops for the United States and he at 173 00:08:56,160 --> 00:08:58,240 Speaker 3: the end of his career, he became the head of 174 00:08:58,320 --> 00:09:02,720 Speaker 3: the Universities of Texas, the system, and he has a 175 00:09:02,720 --> 00:09:07,040 Speaker 3: man who's been through everything from Afghanistan to all sorts 176 00:09:07,080 --> 00:09:09,240 Speaker 3: of things. And one of the things he does, he's 177 00:09:09,240 --> 00:09:11,760 Speaker 3: got he's got a ten point plan, which I think 178 00:09:12,200 --> 00:09:15,160 Speaker 3: in the book, by the Way says this is these 179 00:09:15,160 --> 00:09:18,080 Speaker 3: are the lessons you better learn when you don't need them. 180 00:09:18,640 --> 00:09:23,200 Speaker 3: And the lesson starts this is bear in mind that 181 00:09:23,280 --> 00:09:27,079 Speaker 3: the first report you get about something being wrong is wrong. 182 00:09:28,280 --> 00:09:31,520 Speaker 3: It's whatever it is, you can be assured it's not correct. 183 00:09:32,040 --> 00:09:34,800 Speaker 3: And I think that when we hear bad news, we 184 00:09:34,880 --> 00:09:37,680 Speaker 3: tend to either fall over or try to respond to 185 00:09:37,760 --> 00:09:39,760 Speaker 3: bad news, which is the wrong thing to do. Try 186 00:09:39,800 --> 00:09:42,319 Speaker 3: and work out what's really going on. A very very 187 00:09:42,400 --> 00:09:46,440 Speaker 3: sound advice. The second thing he talks about, and he says, 188 00:09:47,679 --> 00:09:50,440 Speaker 3: throughout your career, as you're building up, building up your 189 00:09:50,760 --> 00:09:54,320 Speaker 3: your your management team or your friend team or your colleagues, 190 00:09:54,559 --> 00:09:57,040 Speaker 3: see that you have a council of what he calls 191 00:09:57,080 --> 00:10:00,840 Speaker 3: counsel of colonels, people who you can talk to. Those 192 00:10:00,840 --> 00:10:03,720 Speaker 3: are people who can say you're talking nonsense, you're out 193 00:10:03,720 --> 00:10:06,280 Speaker 3: of line, and they'll talk straight to you. They're not 194 00:10:06,320 --> 00:10:09,240 Speaker 3: trying to cover anything. If you can get if you 195 00:10:09,280 --> 00:10:13,319 Speaker 3: can surround yourself with the council of kernels when things 196 00:10:13,360 --> 00:10:17,040 Speaker 3: go wrong, but again, be extraordinary valuable to you. The 197 00:10:17,040 --> 00:10:21,120 Speaker 3: third thing he said, I love. He says, bad news 198 00:10:21,640 --> 00:10:23,080 Speaker 3: doesn't get better with time. 199 00:10:24,120 --> 00:10:25,160 Speaker 2: You have to do something. 200 00:10:25,720 --> 00:10:26,200 Speaker 1: It tends. 201 00:10:26,240 --> 00:10:28,960 Speaker 3: What people tend to what people tend to think is look, 202 00:10:29,120 --> 00:10:31,800 Speaker 3: let me not mention this right now. Let's just let's 203 00:10:31,800 --> 00:10:34,080 Speaker 3: try and see see if it'll die die down. It 204 00:10:34,120 --> 00:10:38,600 Speaker 3: never dies down. And so when you accept I might 205 00:10:38,600 --> 00:10:40,800 Speaker 3: as well come and tell you right now that things 206 00:10:40,840 --> 00:10:43,520 Speaker 3: have gone terribly wrong. They wait until you find out 207 00:10:43,520 --> 00:10:47,840 Speaker 3: for yourself. Another point he mentions, which is obvious, but 208 00:10:47,920 --> 00:10:50,280 Speaker 3: I think it's it's it's it's very useful. And he 209 00:10:50,360 --> 00:10:54,440 Speaker 3: gives all these He gives examples throughout the book of 210 00:10:54,679 --> 00:10:58,440 Speaker 3: his experiences in the military, and with these sorts of experiences, 211 00:10:59,120 --> 00:11:03,400 Speaker 3: he says, weaponary. That's the truth. There's nothing so when 212 00:11:03,559 --> 00:11:06,640 Speaker 3: when you as soon as you start lying or or 213 00:11:06,720 --> 00:11:09,960 Speaker 3: covering up, you're going to get yourself into warm more 214 00:11:10,000 --> 00:11:12,640 Speaker 3: trouble and have more and more people bothering you. The 215 00:11:12,640 --> 00:11:15,600 Speaker 3: thing actually weaponized. The fact I'm telling you exact truth 216 00:11:15,720 --> 00:11:18,720 Speaker 3: is what it really is. There's there's a couple of 217 00:11:18,760 --> 00:11:23,079 Speaker 3: other ones which I think which are particularly important, and 218 00:11:23,080 --> 00:11:27,959 Speaker 3: and the one is don't rush to failure, take your 219 00:11:28,000 --> 00:11:30,760 Speaker 3: time as much as you possibly can to try and 220 00:11:30,800 --> 00:11:33,240 Speaker 3: work out what's really going on, and deal with things 221 00:11:33,280 --> 00:11:35,600 Speaker 3: slowly and carefully as you as you as you as 222 00:11:35,600 --> 00:11:39,160 Speaker 3: you possibly can. He ended his career as the head 223 00:11:39,160 --> 00:11:43,360 Speaker 3: of the University of Texas and really messed up. He 224 00:11:43,440 --> 00:11:46,160 Speaker 3: bought land which you hoped was was going to be 225 00:11:46,280 --> 00:11:49,000 Speaker 3: used for a tech university, which never happened, and there 226 00:11:49,040 --> 00:11:52,959 Speaker 3: was wasting money. And anyway, after he been beaten up 227 00:11:53,240 --> 00:11:56,160 Speaker 3: publicly by the by the press, he said he heard 228 00:11:56,200 --> 00:11:58,800 Speaker 3: one heard a man who's been in military for a 229 00:11:58,800 --> 00:12:03,840 Speaker 3: long time standing outside with his secretary and chatting moral 230 00:12:04,920 --> 00:12:09,440 Speaker 3: moral check, moral check, and you see, I know what 231 00:12:09,480 --> 00:12:11,880 Speaker 3: the term is. And the guy burst into his office 232 00:12:11,920 --> 00:12:14,800 Speaker 3: past the secretary. In the military, they everything called the 233 00:12:14,840 --> 00:12:18,360 Speaker 3: moral check. When things go wrong, people around you need 234 00:12:18,400 --> 00:12:20,679 Speaker 3: to check how are you feeling, how you doing? Do 235 00:12:20,720 --> 00:12:23,200 Speaker 3: you need any help? And I think that's a one, 236 00:12:23,400 --> 00:12:26,079 Speaker 3: such a wonderful thing that the people around you they 237 00:12:26,120 --> 00:12:30,040 Speaker 3: also need. It's not only you you in your crisis. 238 00:12:28,880 --> 00:12:32,240 Speaker 2: It's you and the whole group, and there's we do 239 00:12:32,360 --> 00:12:33,960 Speaker 2: need to talk to some of the other books. Please 240 00:12:34,000 --> 00:12:37,680 Speaker 2: do Super Bloom How Technologies of Connection Tear Us Apart 241 00:12:37,720 --> 00:12:40,800 Speaker 2: its by Nicholas car I haven't come across this before, 242 00:12:41,160 --> 00:12:44,560 Speaker 2: but I mean it sounds like like what's really going 243 00:12:44,600 --> 00:12:48,280 Speaker 2: on with with with all of us social media? There's 244 00:12:48,600 --> 00:12:51,680 Speaker 2: too much connection. We never get away from it. And 245 00:12:51,840 --> 00:12:55,080 Speaker 2: Australia is looking at banning social media for under sixteen's 246 00:12:55,200 --> 00:12:56,480 Speaker 2: or has done and things like that. 247 00:12:57,280 --> 00:13:02,520 Speaker 3: The book is is very history of communication from the 248 00:13:02,559 --> 00:13:08,000 Speaker 3: telegraph to to to to the live stream, and he 249 00:13:08,080 --> 00:13:10,560 Speaker 3: shows that what's happened with each evolution. There was a 250 00:13:10,600 --> 00:13:13,920 Speaker 3: time when people bought a newspaper, or some people bought 251 00:13:13,920 --> 00:13:17,679 Speaker 3: a newspaper, and when it was printed it was relevant, 252 00:13:18,000 --> 00:13:20,000 Speaker 3: but you only got it much later and could only 253 00:13:20,040 --> 00:13:22,520 Speaker 3: read it and only read if you bought it. Then 254 00:13:22,559 --> 00:13:25,000 Speaker 3: we evolved, and eventually we got to a point where 255 00:13:25,040 --> 00:13:27,439 Speaker 3: we've got radio so everybody could hear the same thing 256 00:13:27,520 --> 00:13:30,080 Speaker 3: at the same time. And then we've got to television 257 00:13:30,200 --> 00:13:32,520 Speaker 3: where we can also see the same see the same 258 00:13:32,600 --> 00:13:34,719 Speaker 3: things at the same time, and and the way we've 259 00:13:34,760 --> 00:13:38,319 Speaker 3: communicators evolved a lot as far as he's concerned. The 260 00:13:38,640 --> 00:13:42,559 Speaker 3: biggest the biggest change was was live feed. 261 00:13:43,160 --> 00:13:43,800 Speaker 1: Yeah, he said. 262 00:13:43,840 --> 00:13:48,120 Speaker 3: What happens is that live feeds are built on algorithms, 263 00:13:48,800 --> 00:13:52,720 Speaker 3: so there's not something monitoring what's going on. The algorithm says, 264 00:13:52,720 --> 00:13:55,760 Speaker 3: for example, to pick an example of used before and 265 00:13:55,880 --> 00:13:58,320 Speaker 3: the massacre of the of the of the of the 266 00:13:58,360 --> 00:14:02,760 Speaker 3: wigas was based not on the fact that they'd done 267 00:14:02,800 --> 00:14:04,959 Speaker 3: anything wrong. It was based on the fact that the 268 00:14:05,080 --> 00:14:10,720 Speaker 3: algorithms that they were fed, algorithm which stimulated anger and fear. 269 00:14:11,400 --> 00:14:14,640 Speaker 3: Anything that stimulates anger and fear will keep you going 270 00:14:14,679 --> 00:14:17,240 Speaker 3: and keep you more interested. Therefore they'll send you more 271 00:14:17,280 --> 00:14:19,720 Speaker 3: and more of those feeds. So you're being fed all 272 00:14:19,760 --> 00:14:22,400 Speaker 3: the stuff that you really want to hear, or probably 273 00:14:22,440 --> 00:14:24,880 Speaker 3: don't even want to hear, but it keeps coming at you. 274 00:14:25,640 --> 00:14:28,280 Speaker 3: And probably one of the most dangerous things about all 275 00:14:28,280 --> 00:14:31,600 Speaker 3: this is that they're not it's not like offering you, 276 00:14:32,480 --> 00:14:36,560 Speaker 3: offering you cigarettes when you're fourteen years old or drugs 277 00:14:36,560 --> 00:14:40,160 Speaker 3: when you're older. We want these drugs, We want them 278 00:14:40,240 --> 00:14:42,880 Speaker 3: very badly because there's something that people want more than 279 00:14:42,920 --> 00:14:46,000 Speaker 3: anything else. People want to be informed, and what they're 280 00:14:46,000 --> 00:14:49,520 Speaker 3: doing the same will inform you. So it's really, really 281 00:14:49,560 --> 00:14:53,760 Speaker 3: addictive and people spend an enormous amount of time on this. Well, 282 00:14:53,800 --> 00:14:55,960 Speaker 3: I think it's most important, but super bloom and I 283 00:14:55,960 --> 00:14:58,800 Speaker 3: think it's a book very very worth reading. It's a 284 00:14:58,880 --> 00:15:03,640 Speaker 3: serious book and well researched. Is that that's where we're going. Yeah, 285 00:15:03,840 --> 00:15:06,440 Speaker 3: and we might as well. Just we have to deal 286 00:15:06,480 --> 00:15:08,800 Speaker 3: with it. It's not going to go away, and we're 287 00:15:08,800 --> 00:15:12,560 Speaker 3: not by saying that little children can't use the internet. 288 00:15:13,560 --> 00:15:16,280 Speaker 3: So I'm not going to fix it. Just it may 289 00:15:16,360 --> 00:15:17,200 Speaker 3: delay it if we can. 290 00:15:19,160 --> 00:15:20,720 Speaker 2: I mean, there's so much too. I mean, I think 291 00:15:20,720 --> 00:15:22,640 Speaker 2: it's one of the big ish questions of our time. 292 00:15:22,720 --> 00:15:25,280 Speaker 2: And then five types of wealth Shill Bloom. 293 00:15:25,560 --> 00:15:28,800 Speaker 3: Yes, well, I think what we've the book is not 294 00:15:28,840 --> 00:15:31,840 Speaker 3: an unusual book, but it's one of the best written 295 00:15:31,840 --> 00:15:39,000 Speaker 3: books of the type. Neils A He was a son 296 00:15:39,080 --> 00:15:42,040 Speaker 3: of what Americans called not a wealthy man. His father 297 00:15:42,120 --> 00:15:46,000 Speaker 3: was a university professor, and say he wasn't. He didn't 298 00:15:46,000 --> 00:15:47,680 Speaker 3: grow up in a home with great wealth, and he 299 00:15:47,680 --> 00:15:49,840 Speaker 3: always wanted to be very, very rich. And the way 300 00:15:49,880 --> 00:15:52,480 Speaker 3: to do that, he found out, was to go to university, 301 00:15:52,560 --> 00:15:55,960 Speaker 3: do do a degree in finance, join a finance company. 302 00:15:56,160 --> 00:15:57,920 Speaker 3: In a couple of years, you'll be a millionaire, and 303 00:15:57,960 --> 00:16:01,440 Speaker 3: he was. He said, what mays was that he wasn't happy. 304 00:16:02,280 --> 00:16:06,400 Speaker 3: And he realized that. He started doing surveys of people 305 00:16:06,480 --> 00:16:11,920 Speaker 3: from ex mergerers to barbers to individuals and ask them 306 00:16:12,120 --> 00:16:15,080 Speaker 3: what makes people happy and one, and he came up 307 00:16:15,120 --> 00:16:17,760 Speaker 3: with a set of ideas about what makes people happy. 308 00:16:18,440 --> 00:16:21,880 Speaker 3: And the idea is to try and get your life 309 00:16:22,160 --> 00:16:25,440 Speaker 3: to take care of these different elements. But he hasn't 310 00:16:25,440 --> 00:16:29,320 Speaker 3: got the He doesn't make the mistake of talking about 311 00:16:29,320 --> 00:16:33,640 Speaker 3: work life balance. Balance is a technical as an engineering term. 312 00:16:33,760 --> 00:16:36,080 Speaker 3: It's got nothing to do with my life when I 313 00:16:36,160 --> 00:16:38,400 Speaker 3: when I'm when I'm young and beginning a career, I 314 00:16:38,400 --> 00:16:40,440 Speaker 3: have to spend much much more time in the office 315 00:16:40,720 --> 00:16:43,040 Speaker 3: than I have to do later on. What he does 316 00:16:43,080 --> 00:16:45,040 Speaker 3: do is he focuses on the things that really will 317 00:16:45,080 --> 00:16:48,920 Speaker 3: make a difference, and that that's time, your social life, 318 00:16:49,280 --> 00:16:53,920 Speaker 3: your your material wealth, your physical your physical well being 319 00:16:54,240 --> 00:16:57,760 Speaker 3: and your material conditions, and of course your financial situations. 320 00:16:58,040 --> 00:17:00,840 Speaker 3: And he talks about calibrating all those things. There's one 321 00:17:00,880 --> 00:17:03,760 Speaker 3: image that I liked very very much in his book. 322 00:17:04,240 --> 00:17:07,040 Speaker 3: He talked about his father was a university professor and 323 00:17:07,080 --> 00:17:09,800 Speaker 3: he was flying across the country with his father. He says, 324 00:17:09,880 --> 00:17:12,640 Speaker 3: right through out the elevenar trip, whatever it was, his 325 00:17:12,640 --> 00:17:16,600 Speaker 3: father was reading and making notes and he said, Dad, 326 00:17:16,600 --> 00:17:19,879 Speaker 3: you haven't even watched a single movie. He says, I 327 00:17:19,960 --> 00:17:22,600 Speaker 3: work like this. I can take you on holidays with 328 00:17:22,640 --> 00:17:24,720 Speaker 3: me when I go, and I think we need to 329 00:17:24,800 --> 00:17:28,760 Speaker 3: understand that. And he also has another compelling image. He says, 330 00:17:29,320 --> 00:17:32,040 Speaker 3: who's going to be in the front row of your 331 00:17:32,280 --> 00:17:35,720 Speaker 3: at your funeral? And he says, you've got to see 332 00:17:35,720 --> 00:17:38,560 Speaker 3: that you spend the right quality time with the people 333 00:17:38,560 --> 00:17:40,919 Speaker 3: who are likely to be in the front row. And 334 00:17:40,960 --> 00:17:46,760 Speaker 3: then scarce scarce parents scared me too that when your children, 335 00:17:47,280 --> 00:17:51,240 Speaker 3: you've got about thirteen years of children, then you don't 336 00:17:51,240 --> 00:17:54,000 Speaker 3: have them anymore. And for the first thirteen years of 337 00:17:54,000 --> 00:17:57,320 Speaker 3: your life you're probably the most important, largest and strongest 338 00:17:57,359 --> 00:17:59,959 Speaker 3: man in the block. But by the time they get 339 00:18:00,119 --> 00:18:03,080 Speaker 3: to thirteen, you don't count, and all you are is 340 00:18:03,080 --> 00:18:07,160 Speaker 3: a hotelier and the chauffeur. I think getting all these 341 00:18:07,320 --> 00:18:10,320 Speaker 3: getting all these things into into context, I felt a 342 00:18:10,560 --> 00:18:12,160 Speaker 3: was a very very nice idea and it's a good 343 00:18:12,200 --> 00:18:12,720 Speaker 3: thing to read. 344 00:18:12,840 --> 00:18:17,000 Speaker 2: Iverydament Ian man. They're the managing director of Gateways Business Consultants. 345 00:18:17,119 --> 00:18:19,440 Speaker 2: Looking at his top business books for twenty twenty five. 346 00:18:19,440 --> 00:18:22,480 Speaker 2: Of you consider where we are, the number of transitions 347 00:18:22,480 --> 00:18:24,280 Speaker 2: we're in the middle of, I think it's quite an 348 00:18:24,280 --> 00:18:28,320 Speaker 2: interesting time to write a book. Actually, seven notes the 349 00:18:28,320 --> 00:18:32,240 Speaker 2: best of the Money Show from this week on how 350 00:18:32,240 --> 00:18:34,680 Speaker 2: I Make My Money. This week, the chef Peter Templehoff 351 00:18:34,720 --> 00:18:37,359 Speaker 2: spoke about his career, how he became the first South 352 00:18:37,359 --> 00:18:40,399 Speaker 2: African chef to receive the Three Knives Award at the 353 00:18:40,440 --> 00:18:46,000 Speaker 2: Best Chef's Award, and the inspiration behind his fine dining experiences. 354 00:18:46,080 --> 00:18:49,639 Speaker 2: That's fyn he does something with food that very few 355 00:18:49,720 --> 00:18:52,960 Speaker 2: other people are able to do. Here's the Chef, Peter Templehuff. 356 00:18:53,160 --> 00:18:55,160 Speaker 4: Hey, Stephen, thanks, got to be very nice to chat 357 00:18:55,240 --> 00:18:55,439 Speaker 4: to you. 358 00:18:55,960 --> 00:18:59,879 Speaker 2: I have to start with a factual question. Is it true, 359 00:19:00,359 --> 00:19:03,080 Speaker 2: is that you started out by studying economics. 360 00:19:04,160 --> 00:19:06,080 Speaker 4: Yeah, I did a lot of things. I was as 361 00:19:06,640 --> 00:19:09,520 Speaker 4: I wasn't an economist, but I studied economerce University. It 362 00:19:09,680 --> 00:19:12,520 Speaker 4: wasn't my thing. And then I went into all sorts 363 00:19:12,560 --> 00:19:16,200 Speaker 4: of different careers and tree felling and carpentry and home 364 00:19:16,240 --> 00:19:20,160 Speaker 4: building and sales, selling things and you name it, until 365 00:19:20,200 --> 00:19:22,200 Speaker 4: I found my thing. When I was a ripe old 366 00:19:22,240 --> 00:19:23,720 Speaker 4: age of twenty seven. 367 00:19:24,720 --> 00:19:26,680 Speaker 2: Where were you when all this was happening? You from 368 00:19:26,680 --> 00:19:27,160 Speaker 2: Cape Town? 369 00:19:28,320 --> 00:19:29,720 Speaker 4: No? No, I was born in the States. I moved 370 00:19:29,760 --> 00:19:31,840 Speaker 4: here when I was one. I lived in Joelburg for 371 00:19:31,880 --> 00:19:33,360 Speaker 4: a bit, and then I moved down to derbys where 372 00:19:33,359 --> 00:19:36,239 Speaker 4: I went to high school and university, and so some 373 00:19:36,280 --> 00:19:38,040 Speaker 4: of it happened in Durban. Then I went across to 374 00:19:38,160 --> 00:19:41,560 Speaker 4: the States and I worked in Texas for bits, and 375 00:19:41,640 --> 00:19:44,800 Speaker 4: then I came home, and in nineteen ninety six I 376 00:19:44,800 --> 00:19:47,119 Speaker 4: decided to start cooking in the Cape. So I've been 377 00:19:47,160 --> 00:19:49,280 Speaker 4: here kind of ever since. So this is my home, 378 00:19:49,320 --> 00:19:50,240 Speaker 4: this roban longest. 379 00:19:50,480 --> 00:19:54,000 Speaker 2: No sure why cooking. I mean, was there something that 380 00:19:54,119 --> 00:19:57,000 Speaker 2: dragged you to it? Was there you met someone's mate 381 00:19:57,040 --> 00:20:00,320 Speaker 2: to did something and you thought, wow, did something else happened? 382 00:20:01,160 --> 00:20:03,000 Speaker 4: No, I think I've always had an inkling for it. 383 00:20:03,080 --> 00:20:05,800 Speaker 4: You know, my mom rest results. She was not the 384 00:20:05,840 --> 00:20:08,119 Speaker 4: greatest of cooks. I used to spend a lot of 385 00:20:08,119 --> 00:20:10,560 Speaker 4: my time fixing her dinners up and throwing a handful 386 00:20:10,640 --> 00:20:13,080 Speaker 4: of olives and this, and it's a pinch of herbs 387 00:20:13,080 --> 00:20:15,520 Speaker 4: and that and chops of ham and another thing. And 388 00:20:15,880 --> 00:20:18,080 Speaker 4: I didn't realize until hours later in my career, when 389 00:20:18,080 --> 00:20:21,240 Speaker 4: I was kind of just doing nothing that really inspired me. 390 00:20:21,520 --> 00:20:24,080 Speaker 4: That my mom's best friend actually said, listen, why don't 391 00:20:24,080 --> 00:20:25,680 Speaker 4: you cook? I can see how much you love it? 392 00:20:26,359 --> 00:20:29,000 Speaker 4: And that was it and I haven't looked back since. 393 00:20:29,920 --> 00:20:32,880 Speaker 2: So from quite a young age. I mean, how old 394 00:20:32,920 --> 00:20:35,159 Speaker 2: were you when you first started messing with your mom's cooking? 395 00:20:35,440 --> 00:20:37,600 Speaker 2: How old were you when you first sort of found 396 00:20:37,600 --> 00:20:39,919 Speaker 2: it interesting and we're adding your own things to it? 397 00:20:40,920 --> 00:20:43,480 Speaker 4: I remember as yes, as far as I can remember, 398 00:20:43,520 --> 00:20:46,159 Speaker 4: actually used to get stuck in my grandma's kitchen. She 399 00:20:46,200 --> 00:20:50,280 Speaker 4: lived in Delmas, and she used to put on these 400 00:20:50,320 --> 00:20:52,959 Speaker 4: elaborate dinners. I was always in there, interested as a 401 00:20:53,000 --> 00:20:55,240 Speaker 4: six year old with a five six year old, and 402 00:20:55,240 --> 00:20:57,040 Speaker 4: then I just kind of grew as with my dad 403 00:20:57,080 --> 00:21:00,960 Speaker 4: make an apricol jam every summer and Linden and you know, 404 00:21:01,040 --> 00:21:03,320 Speaker 4: it's just I didn't realize it until I started cooking, 405 00:21:03,359 --> 00:21:04,280 Speaker 4: that I had an interest in it. 406 00:21:05,119 --> 00:21:07,879 Speaker 2: Well, it's funny. I mean, sometimes something stirs you. I 407 00:21:07,920 --> 00:21:11,960 Speaker 2: suppose so you go and study. I have no idea 408 00:21:11,960 --> 00:21:13,720 Speaker 2: how you study to be a chef, but I presume 409 00:21:13,760 --> 00:21:15,439 Speaker 2: it involves a lot of time in a kitchen. 410 00:21:17,119 --> 00:21:19,960 Speaker 4: Yes, I came here to Bonn Hook to stell a bosh, 411 00:21:20,480 --> 00:21:24,400 Speaker 4: and it is one year of intensive like classes and 412 00:21:24,560 --> 00:21:26,240 Speaker 4: they try and teach you as much as they can 413 00:21:26,280 --> 00:21:28,760 Speaker 4: and cram it in a year, and then it's another 414 00:21:28,840 --> 00:21:31,840 Speaker 4: year of practical kitchens where you spend a block of 415 00:21:31,880 --> 00:21:34,760 Speaker 4: three months in different kitchens. And it's still the same today. 416 00:21:34,920 --> 00:21:36,199 Speaker 4: This is what they seems to do for a two 417 00:21:36,240 --> 00:21:39,680 Speaker 4: year course and three years a bit more specialized. But yeah, 418 00:21:39,720 --> 00:21:42,560 Speaker 4: it was an inspiring time for me. And you know, 419 00:21:42,560 --> 00:21:44,679 Speaker 4: because I was a bit older as twenty six or 420 00:21:44,720 --> 00:21:47,320 Speaker 4: twenty seven, I took it a lot more quicker because 421 00:21:47,359 --> 00:21:49,760 Speaker 4: I knew this was my last chance. Like I think 422 00:21:49,760 --> 00:21:51,480 Speaker 4: a lot of Jeffs realize that, you know, this is 423 00:21:51,840 --> 00:21:53,159 Speaker 4: they try a lot of things and they kind of 424 00:21:53,240 --> 00:21:55,919 Speaker 4: end up cooking and it's something that you can actually 425 00:21:55,960 --> 00:22:00,320 Speaker 4: do well from then. I realize that afterwards. 426 00:22:00,119 --> 00:22:04,159 Speaker 2: So when you were learning, I mean, I still have 427 00:22:04,280 --> 00:22:06,320 Speaker 2: people in the back of my mind sometimes when I'm 428 00:22:06,320 --> 00:22:09,240 Speaker 2: making a journalistic conversation, I think, what would this person say, 429 00:22:09,560 --> 00:22:12,679 Speaker 2: what would they do? Were they were they sort of 430 00:22:13,200 --> 00:22:15,720 Speaker 2: were they people like that from where you were learning, 431 00:22:15,840 --> 00:22:18,320 Speaker 2: or did you actually quite quickly think no, no, no, 432 00:22:18,480 --> 00:22:20,680 Speaker 2: I can I can do this differently? I mean, I'm 433 00:22:20,720 --> 00:22:23,159 Speaker 2: really looking for sort of some of your career influences 434 00:22:23,160 --> 00:22:25,159 Speaker 2: when you were starting out, because I know, I know 435 00:22:25,200 --> 00:22:26,880 Speaker 2: there would have been people who have influenced you later, 436 00:22:26,920 --> 00:22:28,640 Speaker 2: but when he was starting out with a particular people 437 00:22:28,640 --> 00:22:29,360 Speaker 2: who played a role. 438 00:22:30,520 --> 00:22:32,399 Speaker 4: Yeah, Like I said, my mom's best friend was the 439 00:22:32,400 --> 00:22:34,359 Speaker 4: one who kind of looked at spark and she you know, 440 00:22:34,440 --> 00:22:37,080 Speaker 4: she was from Denmark and she used to cook these 441 00:22:37,080 --> 00:22:39,720 Speaker 4: elaborate lunches and dinners at her place. And because I 442 00:22:39,800 --> 00:22:41,240 Speaker 4: love and her are such good friends, I used to 443 00:22:41,320 --> 00:22:43,879 Speaker 4: go there quite often. So she was definitely she's pastorations, 444 00:22:44,119 --> 00:22:46,840 Speaker 4: but she was definitely an inspiration. And then you know, 445 00:22:46,920 --> 00:22:50,440 Speaker 4: in training, and there was my first year I went 446 00:22:50,480 --> 00:22:52,840 Speaker 4: to go eat my first year of training, I went 447 00:22:52,880 --> 00:22:54,920 Speaker 4: to eat at the Grand Russia. Tell her a friend, 448 00:22:55,000 --> 00:22:57,920 Speaker 4: chef named Raymond Blanc. He was here cooking. He was 449 00:22:57,960 --> 00:23:00,480 Speaker 4: doing a cooking show and he was actual cooking a 450 00:23:00,480 --> 00:23:02,040 Speaker 4: meal there that night. I managed to get a seat 451 00:23:02,040 --> 00:23:04,400 Speaker 4: for it, and right then the penny kind of dropped 452 00:23:04,440 --> 00:23:07,240 Speaker 4: and I realized, after tasting his food and just looking 453 00:23:07,240 --> 00:23:09,439 Speaker 4: at creative was that this is the right move for me. 454 00:23:09,520 --> 00:23:13,840 Speaker 4: And I was happy that I made that choice. And yeah, 455 00:23:13,920 --> 00:23:15,920 Speaker 4: well since then, you know, guys like Mark Up You're 456 00:23:15,920 --> 00:23:19,360 Speaker 4: White has been inspirational. He's the godfather of modern English cuisine. 457 00:23:19,840 --> 00:23:21,920 Speaker 4: And I actually worked for him my first job in London, 458 00:23:21,920 --> 00:23:24,800 Speaker 4: which is also amazing. And then I was just building, 459 00:23:25,160 --> 00:23:29,200 Speaker 4: building upon your career. Good places. The next place you 460 00:23:29,240 --> 00:23:31,200 Speaker 4: go to the must always be better, That's what That's 461 00:23:31,200 --> 00:23:34,880 Speaker 4: the stance I took, and never wanted to go backwards, 462 00:23:34,920 --> 00:23:36,960 Speaker 4: never wanted to settle, even took a job. I left 463 00:23:37,040 --> 00:23:39,720 Speaker 4: market peer White's restaurant as a Sioux chef, and I 464 00:23:39,720 --> 00:23:41,920 Speaker 4: said I wasn't ready. I took two steps back as 465 00:23:41,920 --> 00:23:44,359 Speaker 4: a chef to party just so I could learn more. 466 00:23:44,480 --> 00:23:46,760 Speaker 4: And I actually worked for free for three months in London. 467 00:23:46,960 --> 00:23:48,280 Speaker 4: They all thought it won the lottery. 468 00:23:48,600 --> 00:23:52,959 Speaker 2: Yeah, I'm sure. So just tell me how that works 469 00:23:53,000 --> 00:23:55,879 Speaker 2: when you're climbing I mean sort of the ladder. I 470 00:23:55,880 --> 00:23:58,080 Speaker 2: don't know if that's the right phrase, but how do 471 00:23:58,160 --> 00:24:00,040 Speaker 2: you how do you get a gig at my? I 472 00:24:00,040 --> 00:24:01,680 Speaker 2: could be a White in the first place. I mean, 473 00:24:01,960 --> 00:24:04,560 Speaker 2: did someone from sennbarsh have to write a letter of recommendation? 474 00:24:04,640 --> 00:24:06,560 Speaker 2: Did you have to hang around and wait for the 475 00:24:06,560 --> 00:24:08,520 Speaker 2: great man himself to come out and say, look, I'm 476 00:24:08,560 --> 00:24:09,080 Speaker 2: really good. 477 00:24:09,560 --> 00:24:12,080 Speaker 4: You know now at that stage she was opening a 478 00:24:12,080 --> 00:24:13,840 Speaker 4: lot of rest She was opening a lot of restaurants. 479 00:24:13,880 --> 00:24:16,840 Speaker 4: And I happened to be working in my sister's bar 480 00:24:16,960 --> 00:24:20,520 Speaker 4: in a crouch end in London, just doing some odd 481 00:24:20,560 --> 00:24:23,160 Speaker 4: bar snacks and I was working illegally. She was paying 482 00:24:23,160 --> 00:24:26,160 Speaker 4: me by cash. And I knew I wanted to work 483 00:24:26,160 --> 00:24:28,080 Speaker 4: in a kidschen, I just didn't know how. And a 484 00:24:28,200 --> 00:24:31,000 Speaker 4: bartender there was good friends with the headshift at the 485 00:24:31,000 --> 00:24:33,840 Speaker 4: restaurant and he said, okay, come just come into a trial. 486 00:24:33,880 --> 00:24:36,000 Speaker 4: And I did a trial and I just loved it. 487 00:24:36,119 --> 00:24:38,240 Speaker 4: Come the day one and he said, listen, don't worry 488 00:24:38,240 --> 00:24:40,159 Speaker 4: about the visa. We'll make a plan for you. And 489 00:24:40,400 --> 00:24:42,639 Speaker 4: back then the restaurants could apply for visas for you, 490 00:24:42,720 --> 00:24:45,159 Speaker 4: and so they applied for the visa and then they 491 00:24:45,160 --> 00:24:48,200 Speaker 4: stopped playing me cash made me legally for a while. 492 00:24:48,280 --> 00:24:50,920 Speaker 4: So yeah, that's how I started. And then from there 493 00:24:50,920 --> 00:24:53,520 Speaker 4: I went to go work in another mischelonin star restaurant 494 00:24:53,560 --> 00:24:55,800 Speaker 4: and then which was an English one, which was a 495 00:24:55,800 --> 00:24:57,360 Speaker 4: great one. And then from there I went to work 496 00:24:57,440 --> 00:25:01,520 Speaker 4: for Locatelli, who was in Italian one star restaurants. Never 497 00:25:01,560 --> 00:25:04,320 Speaker 4: wanted to go below one star wherever I worked and 498 00:25:04,359 --> 00:25:07,200 Speaker 4: I paid dividends, you know, and I can not recommend 499 00:25:07,440 --> 00:25:09,800 Speaker 4: I highly enough that the youngsters of today just do that. 500 00:25:09,920 --> 00:25:13,160 Speaker 4: Keep looking for don't look for the paycheck. That stage. 501 00:25:13,520 --> 00:25:17,320 Speaker 2: Yeah, when you're in a kitchen like that, How important 502 00:25:17,359 --> 00:25:20,320 Speaker 2: does the personality of the sort of head chef matter? 503 00:25:21,720 --> 00:25:24,800 Speaker 2: Are they very different from kitchen to kitchen because of that, 504 00:25:25,040 --> 00:25:27,640 Speaker 2: or are they actually quite similar because there's a way 505 00:25:27,680 --> 00:25:29,679 Speaker 2: to do these things. 506 00:25:30,240 --> 00:25:32,000 Speaker 4: Well, they are and they aren't. They all have their 507 00:25:32,000 --> 00:25:34,680 Speaker 4: own personality. But it was always very regimental. Everything is 508 00:25:34,760 --> 00:25:40,040 Speaker 4: done very militarily, so there's this hierarchy and you've just 509 00:25:40,119 --> 00:25:42,520 Speaker 4: got to earn your stripes and get your get yourself 510 00:25:42,600 --> 00:25:45,239 Speaker 4: up that ladder. And the young ones when they come 511 00:25:45,280 --> 00:25:47,719 Speaker 4: into the kitchen, they're or they're always abused, just like 512 00:25:48,560 --> 00:25:52,040 Speaker 4: any youngster that comes into the military. They take abuse. 513 00:25:52,080 --> 00:25:53,760 Speaker 4: They want to see how hard they are and how 514 00:25:54,000 --> 00:25:57,240 Speaker 4: how how they can mold these new young chefs. And 515 00:25:57,280 --> 00:26:00,000 Speaker 4: it's still like that today, maybe not as as angry, 516 00:26:00,240 --> 00:26:02,919 Speaker 4: because back then in the nineties, there used to be 517 00:26:03,000 --> 00:26:05,880 Speaker 4: some a lot of words turned around, a lot of use. 518 00:26:06,000 --> 00:26:08,640 Speaker 4: But things have kind of become a little a little 519 00:26:08,640 --> 00:26:10,480 Speaker 4: bit easier to work in those conditions nowadays. 520 00:26:11,240 --> 00:26:13,199 Speaker 2: I mean, you know, we've all seen the sort of 521 00:26:13,240 --> 00:26:16,680 Speaker 2: documentaries and the reality TV and this and the that, 522 00:26:17,200 --> 00:26:18,879 Speaker 2: but swearing did seem to be a part of it. 523 00:26:18,920 --> 00:26:22,320 Speaker 2: And I wondered if there's something about cooking that maybe 524 00:26:22,600 --> 00:26:25,159 Speaker 2: late to more swearing. It's hard, you're working in a 525 00:26:25,200 --> 00:26:29,600 Speaker 2: difficult environment. Mistakes cost money, the ingredients matter, I mean, 526 00:26:29,680 --> 00:26:30,480 Speaker 2: is there something to that. 527 00:26:31,400 --> 00:26:34,840 Speaker 4: Oh, definitely, definitely. When you get tired, you get emotional, 528 00:26:35,080 --> 00:26:37,399 Speaker 4: when you get emotional pressures on and you're going to 529 00:26:37,480 --> 00:26:41,640 Speaker 4: pressurize from above. Yeah, it happens. It's just a natural 530 00:26:41,680 --> 00:26:44,720 Speaker 4: thing that we do. And unfortunately it's hard to hold 531 00:26:44,760 --> 00:26:47,320 Speaker 4: back sometimes, especially when you're tired. You're doing you know, 532 00:26:47,359 --> 00:26:49,040 Speaker 4: it's your third or fourth double in a row, and 533 00:26:49,040 --> 00:26:51,720 Speaker 4: you're doing the hours in this ninety five hour week, 534 00:26:51,840 --> 00:26:54,320 Speaker 4: and you know everybody's shouting at you. You're going to 535 00:26:54,480 --> 00:26:56,960 Speaker 4: You're going to crack. It's not an easy industry, not 536 00:26:57,040 --> 00:26:58,960 Speaker 4: at all. It's like one of the toughest industries to 537 00:26:59,520 --> 00:27:02,040 Speaker 4: manage it. And you just got to restrong world, and 538 00:27:02,040 --> 00:27:04,680 Speaker 4: you're going to have determination that you're going to push 539 00:27:04,720 --> 00:27:06,240 Speaker 4: through and this guy is not going to get the 540 00:27:06,240 --> 00:27:08,679 Speaker 4: better of you. No, matter what. It's easy just to 541 00:27:08,720 --> 00:27:12,120 Speaker 4: retaliate and lose your job and try to find another job. 542 00:27:12,160 --> 00:27:14,399 Speaker 4: And you know that's not the right way to do. 543 00:27:14,440 --> 00:27:16,919 Speaker 4: It's just bite your tongue and push through. You know, 544 00:27:17,080 --> 00:27:19,119 Speaker 4: you cut your finger, just wrap it up and carry 545 00:27:19,160 --> 00:27:21,719 Speaker 4: on in a blue plast You got in their respect. 546 00:27:21,800 --> 00:27:23,000 Speaker 4: That's the most important thing. 547 00:27:23,200 --> 00:27:27,280 Speaker 2: Yeah, yeah, get stuff done. When you are working like that, 548 00:27:28,080 --> 00:27:30,399 Speaker 2: and when you're leading a kitchen, Peter, and it's a 549 00:27:30,440 --> 00:27:33,520 Speaker 2: long shift and there's lots of difficulty, how do you 550 00:27:33,560 --> 00:27:36,879 Speaker 2: feel at the end of the day. Obviously tired, I 551 00:27:36,880 --> 00:27:40,440 Speaker 2: mean I would expect that, but is it so rewarding 552 00:27:40,440 --> 00:27:42,879 Speaker 2: Do you think, sure I got that, I nailed that, 553 00:27:43,119 --> 00:27:46,920 Speaker 2: or that worked out, or the kitchen did well here today, Steven. 554 00:27:47,000 --> 00:27:51,280 Speaker 4: The feeling is absolutely addictive. It's this blood rushes through you. 555 00:27:51,280 --> 00:27:54,040 Speaker 4: You feel you've accomplished something so great, and because you 556 00:27:54,119 --> 00:27:56,760 Speaker 4: realize how tough it is. When you actually the first 557 00:27:56,840 --> 00:28:00,199 Speaker 4: out did my solid service in on my own, you know, 558 00:28:00,240 --> 00:28:03,200 Speaker 4: a really high pressure kitchen, I just felt like I 559 00:28:03,240 --> 00:28:06,240 Speaker 4: always feel like you're related, and that's it's addictive, and 560 00:28:06,280 --> 00:28:08,560 Speaker 4: people go back for that and you get there, you 561 00:28:08,560 --> 00:28:11,400 Speaker 4: get this rush from the service which you don't get 562 00:28:11,440 --> 00:28:14,600 Speaker 4: from anything else except sports. I imagine you get the 563 00:28:14,640 --> 00:28:17,800 Speaker 4: same kind of rush. But yeah, no, it's very addictive, 564 00:28:18,119 --> 00:28:21,760 Speaker 4: and it's to get to that level, it's very extremely satisfying. 565 00:28:22,320 --> 00:28:24,520 Speaker 4: So I think that's what people just keep going back to, 566 00:28:25,200 --> 00:28:26,480 Speaker 4: keep getting up every morning for. 567 00:28:27,280 --> 00:28:29,679 Speaker 2: When you're leading a kitchen like that, how important is 568 00:28:29,680 --> 00:28:33,560 Speaker 2: it to have the people around you, so the people 569 00:28:33,600 --> 00:28:35,919 Speaker 2: you're working with, your staff, who you can trust with 570 00:28:35,920 --> 00:28:38,840 Speaker 2: the food. I mean, you obviously need to know that 571 00:28:38,920 --> 00:28:41,880 Speaker 2: they're upward, that they're at the right standard. And I 572 00:28:41,920 --> 00:28:46,200 Speaker 2: always thought, you know, particularly as restaurants, I suppose like yours, 573 00:28:46,200 --> 00:28:49,640 Speaker 2: but others and really rely on the chef's reputation. The 574 00:28:49,720 --> 00:28:52,720 Speaker 2: chef's reputation really relies on the restaurants and everybody else do. 575 00:28:53,800 --> 00:28:57,120 Speaker 4: Yeah. Yeah, especially when you've got multiple restaurants like Idea, 576 00:28:57,120 --> 00:29:01,640 Speaker 4: it's so important to completely rely on the guy next 577 00:29:01,640 --> 00:29:04,640 Speaker 4: to you, the guy underneath him, and then then so on, 578 00:29:05,200 --> 00:29:08,080 Speaker 4: and it's Yeah, to inspire them is the trick to 579 00:29:08,160 --> 00:29:11,520 Speaker 4: keep them wanting to do amazing food for you all 580 00:29:11,520 --> 00:29:13,600 Speaker 4: the time. That is the secret. I think you have 581 00:29:13,680 --> 00:29:16,760 Speaker 4: to keep the guys inspired, keep them paid well, keep 582 00:29:16,800 --> 00:29:19,440 Speaker 4: them keep them fresh as well. We've adopted a four 583 00:29:19,480 --> 00:29:22,480 Speaker 4: to three day week for the guys because it does 584 00:29:22,520 --> 00:29:25,040 Speaker 4: get tiring. So they're three days off and four days on. 585 00:29:25,360 --> 00:29:27,480 Speaker 4: And of those four days they got to work at 586 00:29:27,560 --> 00:29:31,160 Speaker 4: least three doubles, so that's you know, twelve hours and 587 00:29:31,240 --> 00:29:33,320 Speaker 4: a double US thirty six and they work another half 588 00:29:33,520 --> 00:29:36,440 Speaker 4: a half day somewhere, so they do get the time back. 589 00:29:37,640 --> 00:29:38,800 Speaker 4: And that's how you got to do it. You just 590 00:29:38,840 --> 00:29:42,360 Speaker 4: got to keep them motivated around you and comfortable and 591 00:29:43,080 --> 00:29:45,040 Speaker 4: keep food on the table plus them. 592 00:29:46,240 --> 00:29:50,239 Speaker 2: Yeah, have they been any particular big trends while you've 593 00:29:50,280 --> 00:29:52,760 Speaker 2: been in the food business, of the culinary business, I 594 00:29:52,760 --> 00:29:55,320 Speaker 2: shouldcord it. Do you see certain trends coming? I mean, 595 00:29:55,640 --> 00:29:58,280 Speaker 2: do you see them sort of being big and maybe 596 00:29:58,320 --> 00:30:01,160 Speaker 2: in Britain in the nineties and London and not so 597 00:30:01,240 --> 00:30:05,480 Speaker 2: big anymore. Different types of food, different ways of plating, 598 00:30:06,080 --> 00:30:08,240 Speaker 2: the size of portions. I think that seems from what 599 00:30:08,280 --> 00:30:10,560 Speaker 2: I from what I read, that's been a big change 600 00:30:10,560 --> 00:30:11,800 Speaker 2: of the last ten years. 601 00:30:12,400 --> 00:30:15,440 Speaker 4: Yeah, you know, Novell Cuisine brought along the tasting menus 602 00:30:15,480 --> 00:30:19,000 Speaker 4: and that was inspired from Japanese kaiseke, So it's not 603 00:30:19,040 --> 00:30:21,200 Speaker 4: a new thing. It's been around a long time. Just 604 00:30:21,240 --> 00:30:23,360 Speaker 4: not here, but I think there is a big shift 605 00:30:23,360 --> 00:30:27,400 Speaker 4: away from long course menus, so tasting in the restaurants. 606 00:30:27,960 --> 00:30:31,960 Speaker 4: People like choice, but I understand there's always going to 607 00:30:31,960 --> 00:30:34,000 Speaker 4: be tasting in a restaurant. We've got one fine as 608 00:30:34,040 --> 00:30:36,560 Speaker 4: a tasting in a restaurant because you know, we've got 609 00:30:36,600 --> 00:30:38,640 Speaker 4: a story to tell there and we want people to 610 00:30:38,680 --> 00:30:41,400 Speaker 4: experience the journey that we want to want want them 611 00:30:41,400 --> 00:30:44,560 Speaker 4: on for the evening. But the other restaurants are Oli Karte. 612 00:30:44,840 --> 00:30:48,080 Speaker 4: You know, we've really decided that we could have done 613 00:30:48,080 --> 00:30:51,200 Speaker 4: another tasting menu restaurant at param where we just opened. 614 00:30:51,600 --> 00:30:54,200 Speaker 4: I thought, you know what, people people want bigger course, 615 00:30:54,440 --> 00:30:56,920 Speaker 4: bigger portions. They want to choose what they want to eat. 616 00:30:57,280 --> 00:30:58,920 Speaker 4: If they want to come in for one course, they're 617 00:30:58,920 --> 00:31:01,920 Speaker 4: welcome to. I think that is a big shift. And 618 00:31:01,960 --> 00:31:05,880 Speaker 4: also there's a shift towards more natural, natural cooking, lighter 619 00:31:05,920 --> 00:31:10,400 Speaker 4: cooking using a lot of olive oils, and I mean 620 00:31:10,440 --> 00:31:13,520 Speaker 4: that's been around for fifteen years now. But there's a 621 00:31:13,520 --> 00:31:17,480 Speaker 4: big push towards natural meat as well, very clean meats, 622 00:31:18,080 --> 00:31:21,280 Speaker 4: and it's a big push also away from I've noticed 623 00:31:21,440 --> 00:31:25,520 Speaker 4: a lot less vegans and vegetarians coming through the doors. 624 00:31:25,560 --> 00:31:28,760 Speaker 4: Actually I'm not sure why that is, but you know, five, six, 625 00:31:28,840 --> 00:31:30,960 Speaker 4: seven years ago, there is a lot of vegetarians and 626 00:31:31,040 --> 00:31:33,240 Speaker 4: vegans coming through and a lot of there's also a 627 00:31:33,280 --> 00:31:36,160 Speaker 4: lot of gluten allergies that we're coming through. But it's 628 00:31:36,240 --> 00:31:40,160 Speaker 4: kind of lighted up now recently, which I'm not sure when. 629 00:31:40,200 --> 00:31:45,680 Speaker 4: Maybe it's a better quality grain while there's less gluten issues. Yeah, 630 00:31:45,680 --> 00:31:48,720 Speaker 4: I'm not sure people are realizing the protein's important. 631 00:31:48,800 --> 00:31:52,000 Speaker 2: Maybe yeah, interesting, Sure, I have no idea. 632 00:31:52,160 --> 00:31:53,000 Speaker 4: The first I've heard of it. 633 00:31:53,040 --> 00:31:55,920 Speaker 2: Well, Peter temple Off there talking us through his career 634 00:31:56,000 --> 00:31:59,160 Speaker 2: from where it started to how it ended, how it's 635 00:31:59,200 --> 00:32:03,080 Speaker 2: still going, earning the prestigious Three Knives Award to because 636 00:32:03,120 --> 00:32:06,320 Speaker 2: of his unforgettable dining experiences that he's able to create. 637 00:32:07,200 --> 00:32:08,880 Speaker 2: Seven you will. 638 00:32:08,720 --> 00:32:11,520 Speaker 1: Listen to the Money Shows the best bids. 639 00:32:11,800 --> 00:32:14,600 Speaker 2: In our Business unusual segment this week. Graham Quadrington, lead 640 00:32:14,640 --> 00:32:18,440 Speaker 2: researcher at tomorrow Today's Futures Institute, discussing some of the 641 00:32:18,440 --> 00:32:21,920 Speaker 2: sporting events we're going to see next year, but particularly 642 00:32:21,920 --> 00:32:25,880 Speaker 2: looking at the world's first enhanced Games. These are games 643 00:32:25,920 --> 00:32:29,760 Speaker 2: sporting competitions in which you're allowed to literally take performance 644 00:32:29,880 --> 00:32:33,760 Speaker 2: enhancing drugs. Graham Codrington had some interesting thoughts on that. 645 00:32:34,120 --> 00:32:36,160 Speaker 5: Well. I thought that as we got to the end 646 00:32:36,200 --> 00:32:37,840 Speaker 5: of the year we could just do something a little 647 00:32:37,840 --> 00:32:42,000 Speaker 5: bit different from a business perspective. But I find this 648 00:32:42,400 --> 00:32:46,479 Speaker 5: exceptionally interesting. We've got all sorts of major sporting events 649 00:32:46,520 --> 00:32:50,440 Speaker 5: coming up, obviously football World Cup headlining next year. But 650 00:32:50,800 --> 00:32:55,120 Speaker 5: I spotted a group of people in Las Vegas who 651 00:32:55,200 --> 00:32:58,560 Speaker 5: are putting together in May twenty twenty six something called 652 00:32:58,560 --> 00:33:03,080 Speaker 5: the Enhanced Games. It's just a few sprints one hundred 653 00:33:03,120 --> 00:33:07,960 Speaker 5: meters two hundred meters in swimming as well also a 654 00:33:07,960 --> 00:33:10,040 Speaker 5: few of those and in a bit of powerlifting, so 655 00:33:10,080 --> 00:33:14,200 Speaker 5: it's not a massive Olympic sport. But he has the 656 00:33:15,160 --> 00:33:18,400 Speaker 5: secret source and source, I suppose is what it is, 657 00:33:18,960 --> 00:33:22,360 Speaker 5: because what they are saying is you can take any 658 00:33:22,440 --> 00:33:28,040 Speaker 5: drugs you like, nothing that is illegal, so it must 659 00:33:28,120 --> 00:33:31,160 Speaker 5: be something that you can technically get, but it is 660 00:33:31,760 --> 00:33:34,640 Speaker 5: you know, illegal for any sports person to have taken 661 00:33:34,680 --> 00:33:38,320 Speaker 5: in the past. And the point behind this is to say, 662 00:33:39,040 --> 00:33:41,840 Speaker 5: every sports event is looking to see how far you 663 00:33:41,880 --> 00:33:45,760 Speaker 5: can push the human body, you know, further, faster, higher, 664 00:33:45,800 --> 00:33:50,320 Speaker 5: whatever it is, and why not do it enhanced by 665 00:33:50,400 --> 00:33:54,840 Speaker 5: science and allow people who are prepared to do whatever 666 00:33:55,040 --> 00:33:57,960 Speaker 5: that does to somebody's body, allow them to do it 667 00:33:58,000 --> 00:34:02,000 Speaker 5: to themselves and see what happened. And there's a lot 668 00:34:02,040 --> 00:34:03,960 Speaker 5: of money behind it. It looks like it's going to 669 00:34:04,000 --> 00:34:07,000 Speaker 5: grab a lot of interest globally, and I must be 670 00:34:07,040 --> 00:34:10,560 Speaker 5: honest as a sports fan, as long as it's declared. 671 00:34:10,640 --> 00:34:13,520 Speaker 5: I wouldn't want drugs to come into other sports, but 672 00:34:14,000 --> 00:34:17,480 Speaker 5: if there's a drug filled sports event, I'd probably pay 673 00:34:17,560 --> 00:34:18,000 Speaker 5: to watch it. 674 00:34:19,480 --> 00:34:21,560 Speaker 2: I suppose the question is why, because I think what 675 00:34:21,600 --> 00:34:23,520 Speaker 2: we think of is what we want in a contest, 676 00:34:23,560 --> 00:34:27,120 Speaker 2: is we want it to be fair. You want to rope. 677 00:34:27,520 --> 00:34:29,600 Speaker 2: You know, you hate it when the ref is biased 678 00:34:29,640 --> 00:34:31,400 Speaker 2: in a football match. I mean you lose your mind. 679 00:34:32,680 --> 00:34:34,319 Speaker 2: Even if you're on the winning side of that, you 680 00:34:34,320 --> 00:34:39,160 Speaker 2: don't you don't like it. So I suppose the attraction 681 00:34:39,239 --> 00:34:41,560 Speaker 2: would be are we going to get human stories out 682 00:34:41,600 --> 00:34:44,319 Speaker 2: of it, because that's what really sells these things, And 683 00:34:44,600 --> 00:34:47,480 Speaker 2: are we going to see much better performances? And in 684 00:34:47,520 --> 00:34:50,640 Speaker 2: this world of athletics, we're talking, you know, microseconds. 685 00:34:51,640 --> 00:34:54,440 Speaker 5: I suppose that's the question, right, And until you give 686 00:34:54,480 --> 00:34:57,759 Speaker 5: it a go, you don't know. And I think that's 687 00:34:58,360 --> 00:35:01,320 Speaker 5: at least the promoters are. That's the way. They approaching 688 00:35:01,440 --> 00:35:04,280 Speaker 5: it right, so they're not trying to say all sports 689 00:35:04,280 --> 00:35:07,359 Speaker 5: should go this way, and I think part of that 690 00:35:07,600 --> 00:35:09,920 Speaker 5: is for fairness. But then having said that, Steven, I 691 00:35:09,920 --> 00:35:13,520 Speaker 5: think you and I both, if we could, we might 692 00:35:13,520 --> 00:35:15,480 Speaker 5: have been professional sports people. I know you have. 693 00:35:15,560 --> 00:35:17,719 Speaker 2: Sports back call for the box. 694 00:35:17,800 --> 00:35:20,759 Speaker 5: Yeah, yes, exactly exactly. If they need me, I'll do 695 00:35:20,800 --> 00:35:24,719 Speaker 5: it right. But it's not fair that I was born 696 00:35:24,800 --> 00:35:28,640 Speaker 5: without the genetics to do that. So fairness is an 697 00:35:28,680 --> 00:35:34,880 Speaker 5: interesting gray area to start with. Those who have heightened 698 00:35:34,880 --> 00:35:39,640 Speaker 5: weight advantages or muscle density advantages. Yes, of course there's 699 00:35:39,800 --> 00:35:42,719 Speaker 5: years and years of discipline and everything else that goes 700 00:35:42,760 --> 00:35:46,319 Speaker 5: on top of that, but that underlying genetic advantage is 701 00:35:46,360 --> 00:35:49,600 Speaker 5: there to start with, and it's not fair. So if 702 00:35:49,600 --> 00:35:54,319 Speaker 5: it isn't fair, why don't we Why don't we just 703 00:35:54,360 --> 00:35:59,280 Speaker 5: have another category, not a category that overtakes the existing categories, 704 00:35:59,320 --> 00:36:02,880 Speaker 5: but another cat of people who say, well, let's see 705 00:36:02,920 --> 00:36:08,479 Speaker 5: what my genetic inheritance and my discipline and a little 706 00:36:08,480 --> 00:36:11,319 Speaker 5: bit of science and chemicals and everything else can can do. 707 00:36:11,760 --> 00:36:14,319 Speaker 5: And I would suggest that by the end of this 708 00:36:14,400 --> 00:36:19,200 Speaker 5: decade we'll probably see the robotic enhanced games in addition 709 00:36:19,280 --> 00:36:22,960 Speaker 5: to that, because again I would pay to see somebody 710 00:36:23,120 --> 00:36:27,800 Speaker 5: strap on, you know, an exoskeleton and you know, jump 711 00:36:27,920 --> 00:36:31,239 Speaker 5: thirty meters in the air or you know, maybe jetpack 712 00:36:31,280 --> 00:36:34,960 Speaker 5: around the stadium instead of run. So I do think 713 00:36:35,120 --> 00:36:39,880 Speaker 5: that this is something which opens some interesting new sporting 714 00:36:39,880 --> 00:36:42,400 Speaker 5: opportunities and maybe that's the way to think about it best. 715 00:36:42,719 --> 00:36:48,280 Speaker 5: These are new sports rather than sort of us drugging. 716 00:36:47,920 --> 00:36:48,920 Speaker 1: Up the old sports. 717 00:36:49,440 --> 00:36:52,239 Speaker 2: So if you look at football players as a great 718 00:36:52,320 --> 00:36:54,359 Speaker 2: as a good example both here and say in the 719 00:36:54,440 --> 00:36:57,000 Speaker 2: in the Premier League, by which I mean in the UK, 720 00:36:58,040 --> 00:37:03,320 Speaker 2: you obviously you end up up measuring them on certain things. Right, 721 00:37:03,520 --> 00:37:06,560 Speaker 2: So obviously its goals and that, But what you're actually 722 00:37:06,640 --> 00:37:09,960 Speaker 2: measuring are their genetic ability, So are they good with 723 00:37:10,000 --> 00:37:15,080 Speaker 2: their feet, You're measuring their fitness. You're measuring where they 724 00:37:15,160 --> 00:37:17,920 Speaker 2: were born and whether they were scouted early and whether 725 00:37:17,960 --> 00:37:20,040 Speaker 2: they started classes. I mean, if you look at Beckham 726 00:37:20,080 --> 00:37:23,480 Speaker 2: from when was he three younger than that or was 727 00:37:23,880 --> 00:37:26,839 Speaker 2: it too late? Was it only four or five? You're 728 00:37:27,000 --> 00:37:31,480 Speaker 2: also I would argue, measuring so to your point the 729 00:37:31,640 --> 00:37:35,440 Speaker 2: desire to win, how far will you go? And I 730 00:37:35,440 --> 00:37:38,120 Speaker 2: mean in many societies, including our own in particular, it's 731 00:37:38,160 --> 00:37:40,640 Speaker 2: the sort of Football's a way out of your reality 732 00:37:40,680 --> 00:37:44,200 Speaker 2: into something else, right, So people have that strong desire 733 00:37:44,480 --> 00:37:46,080 Speaker 2: and you could argue that's why the spring Bocks will 734 00:37:46,120 --> 00:37:48,479 Speaker 2: win World Cups. So if you put all of those 735 00:37:48,480 --> 00:37:52,480 Speaker 2: things together, how far are you prepared to go to win? Well, 736 00:37:52,520 --> 00:37:54,960 Speaker 2: then obviously someone who's prepared to take a drug is 737 00:37:54,960 --> 00:37:56,560 Speaker 2: willing to go further, and why not them? 738 00:37:57,719 --> 00:38:01,000 Speaker 5: And I suppose this is where there will be some 739 00:38:01,120 --> 00:38:06,920 Speaker 5: form of ethical conversation, because we want to look after 740 00:38:07,400 --> 00:38:10,200 Speaker 5: other human beings. We don't want anybody to put themselves 741 00:38:10,239 --> 00:38:14,520 Speaker 5: in a situation where they are destroying themselves for the 742 00:38:14,680 --> 00:38:19,600 Speaker 5: sake of some achievement. But then, you know, I look 743 00:38:19,600 --> 00:38:22,160 Speaker 5: at some of the top sportsmen in the world right now, 744 00:38:22,440 --> 00:38:26,040 Speaker 5: and let's assume that they are all drug free, because 745 00:38:26,560 --> 00:38:31,000 Speaker 5: they get tested so regularly. They push themselves beyond what 746 00:38:31,880 --> 00:38:34,560 Speaker 5: I would think a human being can be pushed, and 747 00:38:35,120 --> 00:38:37,480 Speaker 5: you know, in their forties and fifties, I'm sure they 748 00:38:37,520 --> 00:38:40,040 Speaker 5: pay the price for it. And you know, every time 749 00:38:40,080 --> 00:38:42,960 Speaker 5: I watch one of these rugby games these days, with 750 00:38:43,040 --> 00:38:47,560 Speaker 5: the brutality of modern rugby in particular, I mean, that's 751 00:38:47,560 --> 00:38:49,759 Speaker 5: got to feel sore. When you're fifty five years old, 752 00:38:50,160 --> 00:38:52,440 Speaker 5: you know, twenty years after your retirement, you're still got 753 00:38:52,440 --> 00:38:56,160 Speaker 5: to feel every one of those crunching tackles. So I 754 00:38:56,280 --> 00:39:01,799 Speaker 5: think that even without this enhancement, people are pushing themselves 755 00:39:01,840 --> 00:39:05,719 Speaker 5: maybe beyond what the human body is capable of. All 756 00:39:05,760 --> 00:39:08,680 Speaker 5: you're doing now is you're adding a chemical that helps 757 00:39:08,719 --> 00:39:13,840 Speaker 5: you to go just that extra step further, and I 758 00:39:13,920 --> 00:39:16,960 Speaker 5: honestly am fascinated to see what it can do. 759 00:39:17,520 --> 00:39:19,440 Speaker 2: It's also not the first time it's happened. I'm doing 760 00:39:19,480 --> 00:39:21,160 Speaker 2: all of this from memory. I haven't gone to check it, 761 00:39:21,200 --> 00:39:23,719 Speaker 2: but if I recall there were for a very long time, 762 00:39:23,719 --> 00:39:26,640 Speaker 2: it might still be a very large number of women's 763 00:39:26,680 --> 00:39:33,240 Speaker 2: athletics records held by East German Yes, from the nineteen eighties. 764 00:39:33,280 --> 00:39:36,319 Speaker 2: I'm presuming that happened yet to be broken, and we 765 00:39:36,360 --> 00:39:39,160 Speaker 2: all know why because they were given something that were 766 00:39:39,200 --> 00:39:42,719 Speaker 2: given I'm presuming something similar to testosterone or something like that. 767 00:39:43,880 --> 00:39:47,160 Speaker 2: And so, in a strange way, history is actually repeating itself. Yeah, 768 00:39:47,520 --> 00:39:49,919 Speaker 2: except that this is fairer because you know it's happening. 769 00:39:50,400 --> 00:39:53,759 Speaker 5: And it's declared, and it's open and it's and it's 770 00:39:54,160 --> 00:39:58,440 Speaker 5: above board. I suppose in that sense above and for me, 771 00:39:59,000 --> 00:40:01,680 Speaker 5: as I look ahead to my sporting year in twenty 772 00:40:01,800 --> 00:40:04,680 Speaker 5: twenty six. This isn't going to be the highlight the 773 00:40:04,760 --> 00:40:07,239 Speaker 5: enhanced things, but I am going to watch it with 774 00:40:07,320 --> 00:40:10,279 Speaker 5: a little bit of interest. It's something different and I'm 775 00:40:10,320 --> 00:40:13,480 Speaker 5: sure the business case behind it is what's really driving it. 776 00:40:13,880 --> 00:40:17,080 Speaker 5: There's a lot of money at stake, twenty five million 777 00:40:17,120 --> 00:40:19,640 Speaker 5: dollars in prize money for people who prepare to put 778 00:40:19,640 --> 00:40:21,680 Speaker 5: their bodies at risk. But I'm sure we'll see a 779 00:40:21,680 --> 00:40:23,560 Speaker 5: lot of it on our socials and around the place 780 00:40:23,600 --> 00:40:25,080 Speaker 5: in the media. It's a huge story. 781 00:40:25,120 --> 00:40:28,880 Speaker 2: I think Graham Quadrington there looking at what's happening with 782 00:40:29,320 --> 00:40:32,440 Speaker 2: the world of sport and how enhancement is going to 783 00:40:32,440 --> 00:40:34,960 Speaker 2: be the name of the game at the Enhanced Games 784 00:40:35,000 --> 00:40:35,480 Speaker 2: next year. 785 00:40:36,040 --> 00:40:39,759 Speaker 1: The Best of the Money Show and seven. 786 00:40:39,719 --> 00:40:43,880 Speaker 2: Two on shapeshifter This week we profiled Lee Nike, the 787 00:40:43,960 --> 00:40:47,359 Speaker 2: CEO of Trance Union Africa, a really interesting conversation about 788 00:40:47,400 --> 00:40:51,000 Speaker 2: growing up in Chatsworth, about where the drive to succeed 789 00:40:51,160 --> 00:40:53,440 Speaker 2: came from, the lucky access he was able to have 790 00:40:53,520 --> 00:40:56,479 Speaker 2: to some computers and what that has meant for him 791 00:40:56,920 --> 00:40:59,520 Speaker 2: and how it's all played out in his career as 792 00:40:59,520 --> 00:41:00,000 Speaker 2: an adult. 793 00:41:00,160 --> 00:41:05,120 Speaker 6: They actually grew up in Chatsworth in Durban in South Africa. 794 00:41:05,239 --> 00:41:07,719 Speaker 6: So I actually grew up there and I moved to 795 00:41:07,760 --> 00:41:11,640 Speaker 6: Johannesburg when I got my first job back with Anderson Consulting. 796 00:41:14,120 --> 00:41:16,640 Speaker 2: What kind of community were you growing up in? I mean, 797 00:41:17,040 --> 00:41:21,400 Speaker 2: Chatsworth has a particular history in South Africa, particularly in 798 00:41:21,840 --> 00:41:25,719 Speaker 2: Ettequini in Durban. And what kind of family were you 799 00:41:25,840 --> 00:41:28,560 Speaker 2: coming from? What were you thinking of doing as you 800 00:41:28,560 --> 00:41:29,239 Speaker 2: were growing up? 801 00:41:30,320 --> 00:41:33,279 Speaker 6: Well, it's a really good and complex questions even I 802 00:41:33,280 --> 00:41:35,080 Speaker 6: guess the first thing to say is that I grew 803 00:41:35,120 --> 00:41:38,800 Speaker 6: up in quite an impoverished community in Chatsworth, like many 804 00:41:39,600 --> 00:41:42,319 Speaker 6: townships in apartheid South Africa, and I grew up in 805 00:41:42,360 --> 00:41:44,800 Speaker 6: a time of aparthe eight. So that's the first point. 806 00:41:45,080 --> 00:41:46,960 Speaker 6: The second point is that if you grew up in 807 00:41:47,360 --> 00:41:52,440 Speaker 6: a tough neighborhood where crime poverty is an extreme, it 808 00:41:52,480 --> 00:41:55,080 Speaker 6: typically falls to the mother in your house or to 809 00:41:55,160 --> 00:41:57,760 Speaker 6: keep you on the straight and arrow. So my house 810 00:41:57,960 --> 00:42:00,520 Speaker 6: was quite a regiment of going to school, doing his 811 00:42:00,600 --> 00:42:03,919 Speaker 6: studies and keeping out of mischief, and in the end 812 00:42:04,320 --> 00:42:07,360 Speaker 6: you end up becoming a lot academically stronger. And now 813 00:42:07,360 --> 00:42:10,680 Speaker 6: always remember my mom keeping us in that straight and narrow, 814 00:42:11,040 --> 00:42:13,840 Speaker 6: and her big view was the only way to break 815 00:42:13,880 --> 00:42:17,000 Speaker 6: out of your circumstance of being grown up in poverty 816 00:42:17,160 --> 00:42:20,080 Speaker 6: is to study and hope that you'll get a scholarship 817 00:42:20,160 --> 00:42:24,680 Speaker 6: to go on to university. She did something quite interesting, Stephen. 818 00:42:25,000 --> 00:42:27,359 Speaker 6: I grew up in a time of no heroes. So 819 00:42:27,560 --> 00:42:30,600 Speaker 6: born in nineteen seventy six, which is an important here 820 00:42:30,640 --> 00:42:34,319 Speaker 6: in our history, graduating from high school in ninety four 821 00:42:34,400 --> 00:42:37,239 Speaker 6: important here in our democracy. But when I was growing up, 822 00:42:37,280 --> 00:42:40,120 Speaker 6: we actually didn't know any hero So any person that 823 00:42:40,280 --> 00:42:42,960 Speaker 6: was your role model was your mom, and in my case, 824 00:42:43,040 --> 00:42:46,040 Speaker 6: your mom kind of reminded you the consequences of not 825 00:42:46,160 --> 00:42:49,720 Speaker 6: studying and working hard was ending up in the township 826 00:42:49,760 --> 00:42:52,520 Speaker 6: and never breaking out of the potential that you may 827 00:42:52,600 --> 00:42:55,920 Speaker 6: see in yourself. So that allowed me, Stephen, to break 828 00:42:55,960 --> 00:42:58,799 Speaker 6: out and actually obtain a scholarship to go onto university, 829 00:42:59,120 --> 00:43:01,040 Speaker 6: without which we will to have been able to afford 830 00:43:01,440 --> 00:43:03,240 Speaker 6: to fund my further studies. 831 00:43:04,280 --> 00:43:06,799 Speaker 2: I was thinking about that time, and there's just a 832 00:43:06,840 --> 00:43:10,800 Speaker 2: one year's age difference between you and I. I'm slightly older, 833 00:43:10,840 --> 00:43:13,880 Speaker 2: and I was lucky enough from my teenage years because 834 00:43:14,400 --> 00:43:17,000 Speaker 2: of the very different suburbs that I grew up in. 835 00:43:17,239 --> 00:43:20,719 Speaker 2: My father had a personal computer at home, and while 836 00:43:20,719 --> 00:43:23,680 Speaker 2: I never really thought of going into it, I was 837 00:43:23,760 --> 00:43:26,799 Speaker 2: lucky enough to play around with it. I mean, what 838 00:43:26,840 --> 00:43:28,239 Speaker 2: else are you going to do while he's at work? 839 00:43:28,320 --> 00:43:28,520 Speaker 4: Right? 840 00:43:29,600 --> 00:43:31,719 Speaker 2: And I was thinking about how difficult it must have 841 00:43:31,800 --> 00:43:36,040 Speaker 2: been to go from Chatsworth to Straighten too computer science, 842 00:43:36,360 --> 00:43:38,360 Speaker 2: when I mentioned the opportunities for you to do the 843 00:43:38,360 --> 00:43:39,600 Speaker 2: same were incredibly limited. 844 00:43:40,280 --> 00:43:42,640 Speaker 6: Well, it's really interesting and I'll tell you a story 845 00:43:42,680 --> 00:43:45,600 Speaker 6: that very few people don't know about me. So when 846 00:43:45,600 --> 00:43:48,400 Speaker 6: I was in Grade three or Standard one, as you 847 00:43:48,400 --> 00:43:51,719 Speaker 6: and I both would know from our childhoods, I had 848 00:43:51,760 --> 00:43:55,719 Speaker 6: the chance when computers were first introduced to the teachers 849 00:43:55,760 --> 00:43:59,319 Speaker 6: of Chatsworth. This is literally in the foremost years of 850 00:43:59,400 --> 00:44:02,839 Speaker 6: our schooling careers, and I guess I was smarter than 851 00:44:03,800 --> 00:44:06,280 Speaker 6: a lot of kids in my school. But I remember 852 00:44:06,440 --> 00:44:09,479 Speaker 6: a very specific day back in Standard one or grade three, 853 00:44:10,000 --> 00:44:13,000 Speaker 6: where a minibus taxi picked up kids from all the 854 00:44:13,040 --> 00:44:16,320 Speaker 6: schools in Chatsworth and bust us over to the chats 855 00:44:16,320 --> 00:44:19,439 Speaker 6: With Teachers Training Center and seven for the first time 856 00:44:19,480 --> 00:44:21,560 Speaker 6: in my life, I saw this thing that was called 857 00:44:21,560 --> 00:44:24,160 Speaker 6: a computer, something that you were familiar with, I guess, 858 00:44:24,480 --> 00:44:27,000 Speaker 6: but it was this, you know, this big monster for 859 00:44:27,120 --> 00:44:31,040 Speaker 6: monochrome on it with black and green. And more interestingly, 860 00:44:31,520 --> 00:44:36,160 Speaker 6: they had shown us a teaching tool called a logo robot. 861 00:44:36,320 --> 00:44:38,640 Speaker 2: I was going to say, surely, tell me it was logo. 862 00:44:38,680 --> 00:44:40,160 Speaker 4: I remember it so absolutely. 863 00:44:40,280 --> 00:44:42,400 Speaker 6: So we had a logo robot on the floor. And 864 00:44:42,480 --> 00:44:44,480 Speaker 6: this is a person that you know, we barely had 865 00:44:44,600 --> 00:44:47,840 Speaker 6: enough to make ends meet, and school was walking to 866 00:44:47,880 --> 00:44:49,959 Speaker 6: school every day and all we did was what we did. 867 00:44:50,000 --> 00:44:52,719 Speaker 6: So for this one day, Stephen, we got to on 868 00:44:52,760 --> 00:44:55,719 Speaker 6: a weekend go after the teacher's training center and we 869 00:44:55,800 --> 00:44:59,400 Speaker 6: got to type in, you know, left command five steps forward, 870 00:44:59,719 --> 00:45:01,480 Speaker 6: and we had the logo robot moved. 871 00:45:01,280 --> 00:45:01,800 Speaker 1: On the floor. 872 00:45:02,560 --> 00:45:06,359 Speaker 6: And that's interesting because that was a Grade three. The 873 00:45:06,400 --> 00:45:09,360 Speaker 6: first time I owned an actual computer was my final 874 00:45:09,480 --> 00:45:13,640 Speaker 6: year of university. But back then INSIDID one, I saw 875 00:45:13,800 --> 00:45:17,360 Speaker 6: something And it's interesting because it's such an early stage 876 00:45:17,400 --> 00:45:20,200 Speaker 6: of my career, but it felt like something different to 877 00:45:20,280 --> 00:45:22,759 Speaker 6: everything else I knew in my community, where they were 878 00:45:22,880 --> 00:45:27,440 Speaker 6: no role models you had access to or saw, and 879 00:45:27,520 --> 00:45:30,680 Speaker 6: that kind of shaped my folks and listening to my 880 00:45:30,760 --> 00:45:34,160 Speaker 6: mom focusing on math and taking up many opportunities. And 881 00:45:34,160 --> 00:45:38,040 Speaker 6: then if I fast tracked that story, when the neighborhood 882 00:45:38,040 --> 00:45:40,879 Speaker 6: I grew up and it's called Bayview in Chatsworth. And 883 00:45:40,920 --> 00:45:44,399 Speaker 6: back then, you may remember, we had no suburb names. 884 00:45:44,400 --> 00:45:47,040 Speaker 6: We actually had numbers. I grew up in unit to Chatsworth, 885 00:45:47,560 --> 00:45:51,319 Speaker 6: and when we first had libraries, at some point we 886 00:45:51,400 --> 00:45:53,960 Speaker 6: read so many books a week that I stumbled upon 887 00:45:54,280 --> 00:45:57,960 Speaker 6: programming language books. And I had learned to program with 888 00:45:58,000 --> 00:46:01,520 Speaker 6: a bunch of other kids on piece of paper. And 889 00:46:01,680 --> 00:46:04,279 Speaker 6: my mom, being the stal wart she was she and 890 00:46:04,360 --> 00:46:07,560 Speaker 6: she's a both my parents dropped out of high school 891 00:46:07,560 --> 00:46:10,600 Speaker 6: to look after their own families. She went off to 892 00:46:10,680 --> 00:46:13,800 Speaker 6: the high school one year and said, the high school teachers, 893 00:46:14,200 --> 00:46:17,400 Speaker 6: you guys have computers. These boys want access to them. 894 00:46:17,600 --> 00:46:20,719 Speaker 6: And so I had access, you know, to computers in 895 00:46:20,760 --> 00:46:23,240 Speaker 6: my high school. And then I went on to study 896 00:46:23,320 --> 00:46:26,399 Speaker 6: computer science. For the time I got onto, I guess 897 00:46:26,400 --> 00:46:29,120 Speaker 6: study at eight or grade ten, when you could choose subjects. 898 00:46:29,160 --> 00:46:32,680 Speaker 6: So I guess I had that signal amongst the noise, 899 00:46:32,880 --> 00:46:35,880 Speaker 6: this could be different. And I followed this part not 900 00:46:36,040 --> 00:46:39,799 Speaker 6: knowing where it'll take me. And for whatever reason, by 901 00:46:39,840 --> 00:46:42,680 Speaker 6: backing that pathway, I ended up right now. Chatt and 902 00:46:42,760 --> 00:46:46,320 Speaker 6: Stephen Curtis on Shape Shifters. 903 00:46:46,040 --> 00:46:49,080 Speaker 2: So you study at UKs it in and I was 904 00:46:49,120 --> 00:46:52,320 Speaker 2: trying to put the numbers together without missing five steps. 905 00:46:52,320 --> 00:46:56,760 Speaker 2: But it seemed that you went from studying so literally 906 00:46:56,840 --> 00:46:59,520 Speaker 2: quite a big position at Arthur Anderson, then literally managing 907 00:46:59,520 --> 00:47:02,720 Speaker 2: director for IT Strategy and Transformation. I mean, no matter 908 00:47:02,880 --> 00:47:04,560 Speaker 2: how you di SID, you must have been doing that 909 00:47:04,600 --> 00:47:05,640 Speaker 2: at a very young age. 910 00:47:06,239 --> 00:47:09,200 Speaker 6: Well, I guess when you spend nineteen years in one company, 911 00:47:09,280 --> 00:47:11,319 Speaker 6: you kind of can't cover the entire thing in your 912 00:47:11,360 --> 00:47:15,320 Speaker 6: LinkedIn resume. But it's actually interesting story, Stevens. I mentioned 913 00:47:15,320 --> 00:47:18,520 Speaker 6: briefly that if I hadn't gotten a scholarship, I wouldn't 914 00:47:18,560 --> 00:47:21,279 Speaker 6: have gotten to university, and it so happened that I'd 915 00:47:21,280 --> 00:47:25,680 Speaker 6: gotten a Telecom scholarship for computer science to go to 916 00:47:25,840 --> 00:47:28,800 Speaker 6: UKs at n at the time. And it's interesting that 917 00:47:28,960 --> 00:47:31,799 Speaker 6: my final year of university I had the chance to 918 00:47:32,000 --> 00:47:36,080 Speaker 6: do vacation work at Telecom in their Durban offices. And 919 00:47:36,120 --> 00:47:38,840 Speaker 6: as you well know, head office is pretorious, so you 920 00:47:38,840 --> 00:47:42,239 Speaker 6: didn't get much chance to experiment and see what potential 921 00:47:42,320 --> 00:47:45,360 Speaker 6: there was. And after having done all this work to 922 00:47:45,440 --> 00:47:49,000 Speaker 6: break out of my circumstances in Chatsworth, it didn't feel 923 00:47:49,000 --> 00:47:51,600 Speaker 6: like being a developer was the way forward, and It's 924 00:47:51,600 --> 00:47:56,160 Speaker 6: interesting that when the companies do the university wroachhows you 925 00:47:56,320 --> 00:47:59,040 Speaker 6: as you'd remember in our final years of UNI, you 926 00:47:59,120 --> 00:48:01,960 Speaker 6: get to see what these guys have to offer. And 927 00:48:02,080 --> 00:48:04,920 Speaker 6: very similar to Harry Kellen, that actually was with Arthur 928 00:48:04,960 --> 00:48:08,600 Speaker 6: Anderson in your show. A couple of weeks ago, I 929 00:48:08,800 --> 00:48:12,400 Speaker 6: joined the sister company called Anderson Consulting, which is the 930 00:48:12,400 --> 00:48:16,160 Speaker 6: opposite of the tax and accounting business in that nineteen 931 00:48:16,840 --> 00:48:20,359 Speaker 6: ninety eight time frame. So and I started my career 932 00:48:20,440 --> 00:48:24,880 Speaker 6: not in strategy, actually started my career in deep technology. 933 00:48:25,200 --> 00:48:28,359 Speaker 6: When I started, we're still the earliest part of our democracy, 934 00:48:28,880 --> 00:48:31,080 Speaker 6: and as a technology guy, I got to work on 935 00:48:31,160 --> 00:48:34,560 Speaker 6: the codest things ever, Stephen. So my first project, for example, 936 00:48:34,680 --> 00:48:38,680 Speaker 6: was to help build the IEC that delivered the nineteen 937 00:48:38,719 --> 00:48:43,839 Speaker 6: ninety nine elections. Nineteen ninety four was kind of put 938 00:48:43,880 --> 00:48:47,359 Speaker 6: together quite rapidly to deliver the elections, but nineteen ninety 939 00:48:47,400 --> 00:48:50,560 Speaker 6: nine we created e democracy. I went from there to 940 00:48:50,719 --> 00:48:54,279 Speaker 6: work for doctor Padilo Hotler as a youngster twenty two 941 00:48:54,280 --> 00:48:56,560 Speaker 6: to twenty three years of age, under many senior people, 942 00:48:57,040 --> 00:48:59,399 Speaker 6: but I got to work on Census two thousand and one. 943 00:49:00,120 --> 00:49:03,000 Speaker 6: In regard as a youngster, I got to see democracy 944 00:49:03,120 --> 00:49:06,719 Speaker 6: come to life in a world where technology was enabling 945 00:49:06,800 --> 00:49:10,120 Speaker 6: us to see our potential and its earliest phases. And 946 00:49:10,160 --> 00:49:13,279 Speaker 6: then as you called out on my LinkedIn, I got 947 00:49:13,320 --> 00:49:16,719 Speaker 6: to then move from being in deep technology to see 948 00:49:16,800 --> 00:49:21,320 Speaker 6: the value of technology in solving business and governmental problems. 949 00:49:21,320 --> 00:49:24,280 Speaker 6: And I was asked to head up IT strategy, probably 950 00:49:24,320 --> 00:49:27,520 Speaker 6: around eight years into my career, very very young, so 951 00:49:27,760 --> 00:49:29,759 Speaker 6: I was one of the youngest partners at thirty one 952 00:49:29,880 --> 00:49:31,520 Speaker 6: to make partner at Accentia. 953 00:49:33,840 --> 00:49:36,279 Speaker 2: As you talk sort of remembering my own memories of 954 00:49:36,320 --> 00:49:39,640 Speaker 2: that time, and there were several big transitions. There was 955 00:49:39,719 --> 00:49:43,279 Speaker 2: the transition from the end of democracy, the end of 956 00:49:43,320 --> 00:49:46,319 Speaker 2: a party to democracy at the transition, and then the 957 00:49:46,320 --> 00:49:52,560 Speaker 2: beginnings of transformation. But there were also very important technological changes. 958 00:49:52,880 --> 00:49:56,160 Speaker 2: So cell phones had come in, the use of it 959 00:49:56,640 --> 00:50:00,640 Speaker 2: was exploding. Suddenly everybody was getting into it, and cell 960 00:50:00,680 --> 00:50:03,000 Speaker 2: phones then we're probably what we think of AI. Now 961 00:50:03,040 --> 00:50:07,439 Speaker 2: you know something that's going to change everything. The late 962 00:50:07,520 --> 00:50:10,040 Speaker 2: nineties were also quite an optimistic time leading up to 963 00:50:10,040 --> 00:50:12,160 Speaker 2: the sort of dot com boom. It must have been 964 00:50:12,200 --> 00:50:14,960 Speaker 2: the most amazing time to be a young person in 965 00:50:15,000 --> 00:50:17,720 Speaker 2: that field. The opportunities would have been huge to people 966 00:50:17,760 --> 00:50:21,080 Speaker 2: older than you didn't understand it. I mean, I'm guessing here, 967 00:50:21,400 --> 00:50:23,040 Speaker 2: and suddenly there must have been an opportunity. 968 00:50:23,800 --> 00:50:27,080 Speaker 6: Well, listen, there was ridiculous amounts of opportunity back in 969 00:50:27,160 --> 00:50:30,719 Speaker 6: nineteen ninety eight when we had gotten this deal to 970 00:50:30,800 --> 00:50:34,160 Speaker 6: help government build the elections. It is a time when 971 00:50:34,200 --> 00:50:36,840 Speaker 6: the likes of bull Gates that sponsored the software to 972 00:50:36,880 --> 00:50:40,080 Speaker 6: build elections are the big tech firms wanted to help 973 00:50:40,120 --> 00:50:43,360 Speaker 6: us realize our democracy and it was fascinating. People always 974 00:50:43,400 --> 00:50:46,799 Speaker 6: think that technology needs like fast lines to run on. 975 00:50:46,920 --> 00:50:49,799 Speaker 6: You'd be surprised that to deliver the nineteen ninety nine 976 00:50:49,840 --> 00:50:54,040 Speaker 6: elections we actually ran on a one kse speed, not 977 00:50:54,640 --> 00:50:58,800 Speaker 6: a one gigabyte line one case speed, using a VS 978 00:50:59,160 --> 00:51:02,560 Speaker 6: satellite technolog because in nineteen eighty nine we didn't connect 979 00:51:02,600 --> 00:51:05,760 Speaker 6: South Africa. Even today we're not connected. We have such 980 00:51:06,080 --> 00:51:10,000 Speaker 6: a group for growth in terms of coverage of technology, 981 00:51:10,200 --> 00:51:12,359 Speaker 6: but back in nineteen ninety eight and nineteen eighty nine, 982 00:51:12,440 --> 00:51:14,520 Speaker 6: the one thing we did have was a low orbit 983 00:51:14,640 --> 00:51:17,839 Speaker 6: vset technology covering the country and we actually use that 984 00:51:17,880 --> 00:51:20,520 Speaker 6: to build the first elections for or the second elections. 985 00:51:20,719 --> 00:51:23,160 Speaker 6: But the first technology enabled one in nineteen ninety nine, 986 00:51:23,239 --> 00:51:25,880 Speaker 6: So in terms of pulling that off. It was so 987 00:51:26,040 --> 00:51:29,480 Speaker 6: fascinating that we had we had countries come visit the 988 00:51:29,520 --> 00:51:32,879 Speaker 6: election center where universities come and see things that had 989 00:51:32,920 --> 00:51:34,920 Speaker 6: never ever been done in our country. So you're right, 990 00:51:35,280 --> 00:51:37,759 Speaker 6: as a youngster literally at twenty one and twenty two, 991 00:51:38,400 --> 00:51:40,279 Speaker 6: you start and see things that had never ever been 992 00:51:40,280 --> 00:51:42,799 Speaker 6: done in this country before, and you got to showcase 993 00:51:42,840 --> 00:51:45,960 Speaker 6: that to other people that only read the theory of 994 00:51:46,000 --> 00:51:49,560 Speaker 6: what was possible. So absolutely fascinating time to be alive 995 00:51:49,640 --> 00:51:53,640 Speaker 6: and to be an active part of our early democracy. 996 00:51:54,320 --> 00:51:59,440 Speaker 2: When you are making decisions, now, does that time inform 997 00:51:59,480 --> 00:52:02,640 Speaker 2: you your think because you've seen how quickly things can change. 998 00:52:02,880 --> 00:52:05,319 Speaker 2: The thing about that time was that because so much 999 00:52:05,480 --> 00:52:08,080 Speaker 2: was changing, you could actually institute a new system. A 1000 00:52:08,120 --> 00:52:10,120 Speaker 2: young person could come along and say you can do 1001 00:52:10,160 --> 00:52:12,759 Speaker 2: it better, and you would be allowed to. Now we 1002 00:52:12,880 --> 00:52:16,640 Speaker 2: don't have that moment. Now we have systems in place, 1003 00:52:16,680 --> 00:52:19,399 Speaker 2: and so to change things is much harder. So does 1004 00:52:19,440 --> 00:52:22,040 Speaker 2: that time still inform how you make decisions now when 1005 00:52:22,040 --> 00:52:22,960 Speaker 2: you're running a company. 1006 00:52:24,280 --> 00:52:26,719 Speaker 6: I think it does. Stephen, One of the things that 1007 00:52:26,960 --> 00:52:31,120 Speaker 6: I think most leaders try to focus on is how 1008 00:52:31,160 --> 00:52:34,480 Speaker 6: to align the entire business on a bigger purpose where 1009 00:52:34,520 --> 00:52:37,160 Speaker 6: we talk about the bigger purpose, and I talk about 1010 00:52:37,160 --> 00:52:40,440 Speaker 6: solving problems that matter. And when I close my eyes 1011 00:52:40,440 --> 00:52:42,480 Speaker 6: as a CEO, I don't think of the revenue and 1012 00:52:42,480 --> 00:52:45,799 Speaker 6: the margin. I think of a better life for all 1013 00:52:45,840 --> 00:52:48,080 Speaker 6: our people. I think about growing up in an RDP 1014 00:52:48,239 --> 00:52:50,839 Speaker 6: house in Chatswood and sleeping on the floor. So I 1015 00:52:50,880 --> 00:52:54,680 Speaker 6: have that context that keeps me firm on regardless of 1016 00:52:54,800 --> 00:52:57,880 Speaker 6: your tribulation or the challenge you're going through, how do 1017 00:52:57,920 --> 00:53:00,319 Speaker 6: we see beyond the challenge? So the first thing is 1018 00:53:00,360 --> 00:53:03,640 Speaker 6: to do you personally believe in what you're doing, and 1019 00:53:03,680 --> 00:53:06,399 Speaker 6: if you can, then actually very few challenges would come 1020 00:53:06,440 --> 00:53:09,880 Speaker 6: your way. And as a newcomer to this TransUnion business. 1021 00:53:09,880 --> 00:53:12,480 Speaker 6: And it's interesting the way you introduced our business. We've 1022 00:53:12,520 --> 00:53:15,399 Speaker 6: been around for one hundred and twenty four years. When 1023 00:53:15,400 --> 00:53:18,440 Speaker 6: I arrived nine years ago. Well, they were there already 1024 00:53:18,480 --> 00:53:20,680 Speaker 6: before I got there, So LENI wasn't going to come 1025 00:53:20,760 --> 00:53:24,400 Speaker 6: in and give them a miraculous cure to all their ailments. 1026 00:53:24,800 --> 00:53:26,719 Speaker 6: I had to find a way to get people to 1027 00:53:26,880 --> 00:53:29,360 Speaker 6: bind that journey. I had to find a way to 1028 00:53:29,440 --> 00:53:32,959 Speaker 6: appreciate that. Unlike in the world of consulting and big 1029 00:53:33,040 --> 00:53:37,000 Speaker 6: tech change, you can't change everything so starting to realize 1030 00:53:37,080 --> 00:53:40,040 Speaker 6: what cards you've been dealt and working with those cards 1031 00:53:40,080 --> 00:53:43,279 Speaker 6: where they physically technological pieces of the people that work 1032 00:53:43,360 --> 00:53:47,600 Speaker 6: in the organization. CEOs create a recipiece for success using 1033 00:53:47,640 --> 00:53:51,000 Speaker 6: what you have at your disposal, because big bowl change 1034 00:53:51,040 --> 00:53:53,960 Speaker 6: isn't something you can afford to do from a cost perspective, 1035 00:53:54,360 --> 00:53:59,160 Speaker 6: or may have the time to do given times to horizons. 1036 00:53:59,400 --> 00:54:02,759 Speaker 2: Lee And when I look to the world ahead, and 1037 00:54:02,760 --> 00:54:07,080 Speaker 2: we've been talking a lot about it and that technology, 1038 00:54:07,120 --> 00:54:08,759 Speaker 2: I see a lot of future. I think AI has 1039 00:54:08,800 --> 00:54:11,200 Speaker 2: a lot of future. There are a lot of threats 1040 00:54:11,239 --> 00:54:13,360 Speaker 2: as well. I don't want to go into specifics on this, 1041 00:54:13,520 --> 00:54:15,400 Speaker 2: but one of the things I see is just so 1042 00:54:15,480 --> 00:54:18,520 Speaker 2: many sort of bad actors, you know, hackers is one example. 1043 00:54:18,840 --> 00:54:22,280 Speaker 2: I sometimes think if I were running a company like yours, 1044 00:54:23,000 --> 00:54:25,920 Speaker 2: I would be I'll go to bed one night, probably 1045 00:54:25,960 --> 00:54:29,400 Speaker 2: on a Friday night, so excited about the sort of 1046 00:54:29,480 --> 00:54:33,520 Speaker 2: possibility of what can happen in the next five years, 1047 00:54:33,920 --> 00:54:35,879 Speaker 2: and I'd go to bed on another night, maybe a 1048 00:54:35,880 --> 00:54:40,440 Speaker 2: Sunday night, actually quite worried about things because there is 1049 00:54:40,480 --> 00:54:42,800 Speaker 2: so much to sort of guard against. At the moment, 1050 00:54:42,840 --> 00:54:45,960 Speaker 2: it feels, I mean, maybe I'm just getting old and pessimistic. 1051 00:54:47,480 --> 00:54:50,320 Speaker 6: Well, I can confirm that you and I bought getting old, Steven, 1052 00:54:50,360 --> 00:54:52,840 Speaker 6: so that is true. I think the role of a 1053 00:54:52,960 --> 00:54:57,000 Speaker 6: leader in a very digital centric world is to have 1054 00:54:57,040 --> 00:54:59,840 Speaker 6: this control tower bird's eye view of all the pe 1055 00:55:00,760 --> 00:55:03,040 Speaker 6: that I am in front of us. You know, with 1056 00:55:03,520 --> 00:55:07,520 Speaker 6: the many challenges that Africa has, there's also equally opportunity. 1057 00:55:08,320 --> 00:55:11,360 Speaker 6: But equally so they are challenges that create these risks 1058 00:55:11,400 --> 00:55:14,360 Speaker 6: where it is cyber, whether it is fraud, what is 1059 00:55:14,400 --> 00:55:16,640 Speaker 6: the lack of trust which is a bigger issue than 1060 00:55:16,680 --> 00:55:19,560 Speaker 6: both cyber and fraud in Africa where we just don't 1061 00:55:19,600 --> 00:55:23,280 Speaker 6: trust each other as humans forget AI for that matter. 1062 00:55:23,760 --> 00:55:26,000 Speaker 6: And I think it's about being able to balance this 1063 00:55:26,120 --> 00:55:29,480 Speaker 6: and as I mentioned earlier before the break, the ability 1064 00:55:29,600 --> 00:55:33,600 Speaker 6: to connect with a bigger purpose. In my case, I 1065 00:55:33,640 --> 00:55:37,719 Speaker 6: think about the problems that guide me to see all 1066 00:55:37,760 --> 00:55:41,879 Speaker 6: these pieces with calm and in compartments, because otherwise you'll 1067 00:55:41,920 --> 00:55:45,680 Speaker 6: just be too stressed out. Something like financial inclusion or 1068 00:55:45,719 --> 00:55:48,920 Speaker 6: what I called solving a problem that matters. These are 1069 00:55:48,960 --> 00:55:53,560 Speaker 6: the things that help CEOs guide all through all these challenges, 1070 00:55:53,560 --> 00:55:57,040 Speaker 6: because if it wasn't something bigger, you'd be overwhelmed by 1071 00:55:57,080 --> 00:55:59,440 Speaker 6: the challenges. Of the moment that we have to deal with. 1072 00:56:00,200 --> 00:56:02,600 Speaker 2: The CEO of trans Union Africa, reflecting on a really 1073 00:56:02,640 --> 00:56:07,760 Speaker 2: interesting career and his vision for driving digital transformation across Africa. 1074 00:56:10,160 --> 00:56:13,560 Speaker 1: The Best of The Money Show from this week. 1075 00:56:13,440 --> 00:56:16,040 Speaker 2: You've been listening to the best bits of The Money Show, 1076 00:56:16,080 --> 00:56:18,879 Speaker 2: a digest of just some of the most important insights 1077 00:56:19,280 --> 00:56:22,319 Speaker 2: on the show. This week. I'll be away for a 1078 00:56:22,360 --> 00:56:25,200 Speaker 2: little while. There will be important conversations in the space 1079 00:56:25,239 --> 00:56:28,319 Speaker 2: about money and many other things. I will see you 1080 00:56:28,360 --> 00:56:31,160 Speaker 2: next year, so please do look after yourself and please 1081 00:56:31,360 --> 00:56:32,000 Speaker 2: stay listening. 1082 00:56:32,160 --> 00:56:32,480 Speaker 5: Cheers,