1 00:00:00,160 --> 00:00:05,360 Speaker 1: So too weekend Breakfast the Future of It's. 2 00:00:05,320 --> 00:00:07,680 Speaker 2: Twelve minutes after nine o'clock. Very good morning to you. 3 00:00:07,760 --> 00:00:11,319 Speaker 2: Welcome to the Future of For this week and as 4 00:00:11,360 --> 00:00:14,080 Speaker 2: always in the second week of the month, we talk AI. 5 00:00:14,600 --> 00:00:19,239 Speaker 2: Some very fascinating developments coming out of China involving a 6 00:00:19,320 --> 00:00:22,720 Speaker 2: Chinese business that then moves their headquarters to Singapore. They 7 00:00:22,760 --> 00:00:25,200 Speaker 2: get into a deal with Meta, who of course are 8 00:00:25,200 --> 00:00:29,000 Speaker 2: an American company. But now they are concerns they've now 9 00:00:29,040 --> 00:00:31,600 Speaker 2: been barred from leaving China. They're concerns that there is 10 00:00:31,640 --> 00:00:37,440 Speaker 2: the potential that they flouted Chinese rules with this particular sale. 11 00:00:37,720 --> 00:00:40,600 Speaker 2: And also it's now raising questions of so what does 12 00:00:41,159 --> 00:00:44,080 Speaker 2: tech sovereignty look like in the age of AI. You 13 00:00:44,120 --> 00:00:46,320 Speaker 2: may remember a couple of months ago we had a 14 00:00:46,360 --> 00:00:50,199 Speaker 2: discussion about some countries in the EU looking to move 15 00:00:50,240 --> 00:00:55,600 Speaker 2: away from American products and adopting European products, and the 16 00:00:55,720 --> 00:00:58,920 Speaker 2: reason for that was this idea of tech sovereignty, so 17 00:00:58,960 --> 00:01:03,480 Speaker 2: that Africa, European Union countries and governments don't find themselves 18 00:01:03,480 --> 00:01:07,160 Speaker 2: relying on a Google or a Zoom or an Outlook 19 00:01:07,400 --> 00:01:11,200 Speaker 2: and instead using their own. So tech sovereignty is going 20 00:01:11,240 --> 00:01:13,679 Speaker 2: to be a big topic and so I'm really excited 21 00:01:13,720 --> 00:01:16,720 Speaker 2: about today's conversation. Weich joined us always in studio by 22 00:01:16,800 --> 00:01:19,160 Speaker 2: chief data and analytics officer at F and B RISK. 23 00:01:19,440 --> 00:01:22,399 Speaker 2: He's an expert in the space, his award winning for 24 00:01:22,480 --> 00:01:23,120 Speaker 2: his insiets. 25 00:01:23,120 --> 00:01:24,319 Speaker 1: He's the author of two books. 26 00:01:24,560 --> 00:01:28,200 Speaker 2: Dottor Mark Nasilla joins us in studio this morning, dot Nacilla, 27 00:01:28,200 --> 00:01:30,000 Speaker 2: Always a great pleasure having you in studio. 28 00:01:30,160 --> 00:01:33,280 Speaker 1: Good morning, good morning gooks, A great pleasure to be here. 29 00:01:33,319 --> 00:01:36,120 Speaker 1: And again to the listeners who are joining us. 30 00:01:36,280 --> 00:01:41,520 Speaker 2: Yes, so we are talking this interesting development in China. 31 00:01:41,640 --> 00:01:45,600 Speaker 2: So for the Financial Times reports, China has restricted two 32 00:01:45,720 --> 00:01:48,960 Speaker 2: co founders of Manus I hope I'm saying that correctly 33 00:01:49,360 --> 00:01:53,360 Speaker 2: from leaving the country because regulators are reviewing whether a 34 00:01:53,440 --> 00:01:57,960 Speaker 2: two billion dollar acquisition deal by Meta of the AI 35 00:01:58,080 --> 00:02:02,440 Speaker 2: agent company violent ned Beijing's investment rules. 36 00:02:03,040 --> 00:02:06,120 Speaker 1: This is this is the stuff of movies. Tell us 37 00:02:06,160 --> 00:02:10,960 Speaker 1: about the story. This is an extension or a classic 38 00:02:11,120 --> 00:02:14,920 Speaker 1: example of how AI is a driver of the current 39 00:02:15,080 --> 00:02:19,400 Speaker 1: geopolitical status. Right, and just a bit of more background. 40 00:02:20,280 --> 00:02:24,920 Speaker 1: These two founders, Chao and Jim Uh, the founders of 41 00:02:24,960 --> 00:02:30,280 Speaker 1: a leading AI startup, the one you just mentioned, manus 42 00:02:30,360 --> 00:02:36,520 Speaker 1: or Manners that has agentic capabilities. It's it's it's capable 43 00:02:36,560 --> 00:02:40,440 Speaker 1: of solving some of the complex problems. It's it's got 44 00:02:40,560 --> 00:02:46,320 Speaker 1: chatboard capabilities. It reads and writes files. It actually develops 45 00:02:46,360 --> 00:02:51,519 Speaker 1: applications by itself based on on on on users instructions, 46 00:02:51,560 --> 00:02:56,040 Speaker 1: analyzes data. It can even act as a personal assistant. 47 00:02:56,080 --> 00:03:02,680 Speaker 1: And it's famous for the famous application of developing an 48 00:03:02,720 --> 00:03:08,280 Speaker 1: agent that can perform recruitment by itself, shortlisted candidates for 49 00:03:08,320 --> 00:03:12,560 Speaker 1: a role and submit maybe the final three or five. 50 00:03:14,600 --> 00:03:18,480 Speaker 1: This startup was founded in twenty twenty two in Beijing 51 00:03:19,440 --> 00:03:24,440 Speaker 1: and the founder strategically moved it to Singapore, and in December, 52 00:03:24,880 --> 00:03:32,000 Speaker 1: Meta announced that they're acquiring this startup, and obviously China 53 00:03:32,520 --> 00:03:36,120 Speaker 1: started investigating the department. The Ministry of Commerce in China 54 00:03:36,560 --> 00:03:40,920 Speaker 1: started looking into this transaction and has classified it as 55 00:03:40,960 --> 00:03:46,120 Speaker 1: a validation of it of foreign direct investment rules in China. 56 00:03:46,240 --> 00:03:50,680 Speaker 1: But the real reason points towards AI dominance, and for 57 00:03:50,720 --> 00:03:54,760 Speaker 1: a long time China, the AI race between China and 58 00:03:54,760 --> 00:04:01,520 Speaker 1: America has been intensifying. China sees America's doorman centered around 59 00:04:02,200 --> 00:04:06,640 Speaker 1: America attracting Chinese talent in Silicon Valley, while at the 60 00:04:06,680 --> 00:04:11,760 Speaker 1: same time it looks at all solutions developing China's as 61 00:04:11,800 --> 00:04:17,640 Speaker 1: a national strategic asset for AI, and it doesn't want 62 00:04:18,200 --> 00:04:23,920 Speaker 1: Chinese solutions to just be acquired by American companies like Meta, 63 00:04:24,600 --> 00:04:28,599 Speaker 1: because that compromises its strategic view and dominance of air 64 00:04:28,680 --> 00:04:32,320 Speaker 1: in the future. And this is basically why China is 65 00:04:32,400 --> 00:04:34,839 Speaker 1: investigating this transaction. 66 00:04:35,440 --> 00:04:38,760 Speaker 2: It's interesting and this Financial Times peace, they say. Further 67 00:04:39,480 --> 00:04:43,520 Speaker 2: scrutiny of the transaction highlights growing concern about what Chinese 68 00:04:43,640 --> 00:04:48,320 Speaker 2: leaders have described as selling young crops to foreign buyers 69 00:04:48,320 --> 00:04:51,800 Speaker 2: and strategic areas such as AI. And obviously there's no 70 00:04:51,920 --> 00:04:57,120 Speaker 2: concern that Manus or manus bypassed domestic regulation. And I 71 00:04:57,120 --> 00:05:00,800 Speaker 2: think there's such an interesting tension here. On one hand, 72 00:05:00,839 --> 00:05:04,560 Speaker 2: one of the things that's really driven Chinese innovation and 73 00:05:04,600 --> 00:05:08,440 Speaker 2: then kind of being the leader in this new arms race, 74 00:05:08,560 --> 00:05:12,279 Speaker 2: this AI race, has been a lot of the technology 75 00:05:12,279 --> 00:05:16,320 Speaker 2: has been open source, so it allows people experts to 76 00:05:16,400 --> 00:05:19,200 Speaker 2: kind of make it better, right, But also at the 77 00:05:19,240 --> 00:05:23,919 Speaker 2: same time, while internally domestically that is the spirit that 78 00:05:24,000 --> 00:05:27,839 Speaker 2: it is open source, but outside of China that's not 79 00:05:28,640 --> 00:05:30,360 Speaker 2: the position exactly. 80 00:05:30,440 --> 00:05:36,760 Speaker 1: And you see China's been very instrumental empowering homegrown solutions 81 00:05:36,760 --> 00:05:39,599 Speaker 1: because it once driving to civilization. Remember when we had 82 00:05:39,600 --> 00:05:44,200 Speaker 1: the discussion about it, you know, finding Deepsi Manus is 83 00:05:44,240 --> 00:05:50,480 Speaker 1: another example, and there's lots of other startups which China 84 00:05:50,640 --> 00:05:54,200 Speaker 1: looks at it at them as part of their national 85 00:05:54,360 --> 00:05:58,360 Speaker 1: AI strategic focus that will power China's dominant in AI. 86 00:05:58,680 --> 00:06:02,400 Speaker 1: And it's not going to allow that easily. It's not 87 00:06:02,520 --> 00:06:06,880 Speaker 1: the first time. Also, China's bad people from living China, 88 00:06:06,960 --> 00:06:08,880 Speaker 1: but it's the first time it's doing it on a 89 00:06:08,920 --> 00:06:15,320 Speaker 1: basis of AI solutions. Or China bade Chinese American who 90 00:06:15,360 --> 00:06:18,040 Speaker 1: worked for the Commerce Department in the US before it 91 00:06:18,279 --> 00:06:22,479 Speaker 1: also bad a Wells, a Wells Vago employee in Atlanta 92 00:06:23,279 --> 00:06:33,120 Speaker 1: because of potential conflict with interfering with China's national security factors. 93 00:06:34,040 --> 00:06:39,720 Speaker 1: And this shows maybe why AI is not just another technology. 94 00:06:40,560 --> 00:06:43,799 Speaker 1: It's a lesson for African leaders to not just treat 95 00:06:43,880 --> 00:06:47,760 Speaker 1: these technologies a source of efficiency, but as a technology 96 00:06:47,800 --> 00:06:52,719 Speaker 1: that is redefining the future of nations and technology that 97 00:06:53,360 --> 00:06:57,000 Speaker 1: is going to drive industrialization, and it must be treated 98 00:06:57,120 --> 00:07:01,360 Speaker 1: as a national asset. Just like China America are making 99 00:07:01,400 --> 00:07:05,080 Speaker 1: sure that they protect what they're doing. 100 00:07:05,240 --> 00:07:09,200 Speaker 2: Yeah, and so when you speak about this tech sovereignty. 101 00:07:09,279 --> 00:07:11,400 Speaker 2: I was reading a piece by the World Economic Forum 102 00:07:11,440 --> 00:07:15,600 Speaker 2: speaking about this, and it said, so it's quite a tricky. 103 00:07:15,640 --> 00:07:19,120 Speaker 2: It's this delicate thing. On one hand, there's lots of 104 00:07:19,240 --> 00:07:22,920 Speaker 2: parts to it. There's lots of you know, things that 105 00:07:23,000 --> 00:07:25,200 Speaker 2: could be part of that tech sovereignty. So they said 106 00:07:25,520 --> 00:07:28,120 Speaker 2: things like data so the control of a data storage, 107 00:07:28,160 --> 00:07:32,920 Speaker 2: access and governance, autonomy and managing and executing digital operations, 108 00:07:33,320 --> 00:07:37,720 Speaker 2: the development and control of hardware and infrastructure. Even legal sovereignty, 109 00:07:37,800 --> 00:07:42,200 Speaker 2: so the power to establish and enforce regulations around these 110 00:07:42,200 --> 00:07:46,080 Speaker 2: digital assets. Right, And so it's quite a when you 111 00:07:46,080 --> 00:07:47,800 Speaker 2: speak tech sovereignty, we're speaking on quite. 112 00:07:47,680 --> 00:07:49,000 Speaker 1: A big area. 113 00:07:49,080 --> 00:07:53,160 Speaker 2: And they were saying, there isn't a place where countries 114 00:07:53,240 --> 00:07:58,800 Speaker 2: can go fully autonomous. So we don't use anyone else's technology, 115 00:07:58,840 --> 00:08:01,440 Speaker 2: they don't use ours. And they were saying, instead, what 116 00:08:01,560 --> 00:08:05,080 Speaker 2: we might see is this balancing acts, they say, the 117 00:08:05,160 --> 00:08:09,840 Speaker 2: balancing of strategic self reliance with intelligent partnerships. 118 00:08:10,520 --> 00:08:14,480 Speaker 1: Yes, Googs is spot on. When we talk about tech 119 00:08:14,600 --> 00:08:20,040 Speaker 1: sovereignty or even AI sovereignty, we're talking about controlling the 120 00:08:20,160 --> 00:08:23,840 Speaker 1: building blocks and the whole value chain and all the blocks. 121 00:08:23,840 --> 00:08:27,520 Speaker 1: He just mentions whether it's data or legal aspects or talent, 122 00:08:28,760 --> 00:08:32,560 Speaker 1: or having a clear strategy that outlines what you want 123 00:08:32,600 --> 00:08:38,920 Speaker 1: to be, or ethical guidelines, trade export controls which actually 124 00:08:38,960 --> 00:08:42,480 Speaker 1: is centered around what we're talking today. All of them 125 00:08:42,920 --> 00:08:46,800 Speaker 1: must be part of a national strategy because those are 126 00:08:46,840 --> 00:08:51,040 Speaker 1: critical And in this case, maybe four or five big 127 00:08:51,120 --> 00:08:56,240 Speaker 1: lessons that I think we must articulate here. One AI 128 00:08:56,640 --> 00:09:01,200 Speaker 1: is not just another technology. It's a national strategic asset 129 00:09:01,400 --> 00:09:05,280 Speaker 1: that is going to impact everything, and we must make 130 00:09:05,320 --> 00:09:08,000 Speaker 1: sure in our strategies it's not just about how we're 131 00:09:08,000 --> 00:09:10,880 Speaker 1: going to use it, but how we're going to protect it. Then, 132 00:09:11,160 --> 00:09:16,280 Speaker 1: but we must also scrutinize our offshore relationships around technology 133 00:09:16,320 --> 00:09:20,680 Speaker 1: the same way our national resources are strategic assets or 134 00:09:20,679 --> 00:09:25,319 Speaker 1: resources that we've built regulations around experts. We must also 135 00:09:25,559 --> 00:09:33,920 Speaker 1: look at regulations around software relations with other countries. Then 136 00:09:33,960 --> 00:09:41,240 Speaker 1: we need controls on how organizations from outside engage with 137 00:09:41,440 --> 00:09:45,720 Speaker 1: startups and those who are building solutions in South Africa 138 00:09:45,760 --> 00:09:48,920 Speaker 1: and in the African continent. The fourth one is how 139 00:09:48,920 --> 00:09:52,280 Speaker 1: do we balance innovation with regulation. How do we create 140 00:09:53,040 --> 00:09:57,880 Speaker 1: an environment where, for example, if we have a startup 141 00:09:58,080 --> 00:10:01,400 Speaker 1: like Manners in South Africa, they've come up with a 142 00:10:01,520 --> 00:10:03,959 Speaker 1: good solution and we have a Facebook or a matter 143 00:10:04,000 --> 00:10:07,280 Speaker 1: who want to invest three billion US dollars. We must 144 00:10:07,320 --> 00:10:10,000 Speaker 1: it mustn't be very impossible, but it must be done 145 00:10:10,000 --> 00:10:13,480 Speaker 1: in such a way that the IP and technology still 146 00:10:13,520 --> 00:10:17,760 Speaker 1: reside in South Africa, but also metal benefits. You know, 147 00:10:18,080 --> 00:10:23,079 Speaker 1: one thing that is very disturbing around this is that 148 00:10:23,480 --> 00:10:27,280 Speaker 1: all the over one hundred employees of Manners in Singapore 149 00:10:27,760 --> 00:10:31,360 Speaker 1: are also going to move to META and those are 150 00:10:31,360 --> 00:10:34,319 Speaker 1: some of the implications we don't want, especially when you've 151 00:10:34,320 --> 00:10:38,680 Speaker 1: got when you've got a very good solution that could 152 00:10:38,720 --> 00:10:41,960 Speaker 1: power the region. And then we also just need a 153 00:10:42,120 --> 00:10:49,040 Speaker 1: unified regional AI regulations or even startups that can work 154 00:10:49,080 --> 00:10:56,360 Speaker 1: together in having frameworks that drive collaboration. You see, the 155 00:10:56,440 --> 00:11:02,040 Speaker 1: thing is Facebook approaching MANUS was a very single handed transaction. 156 00:11:02,520 --> 00:11:05,600 Speaker 1: But if there were a lot of startups unified together, 157 00:11:05,880 --> 00:11:07,880 Speaker 1: they would have this transaction would have been done in 158 00:11:07,920 --> 00:11:09,360 Speaker 1: a totally different way. Yeah. 159 00:11:09,559 --> 00:11:13,400 Speaker 2: Yes, and so here we see I guess one country's 160 00:11:13,480 --> 00:11:17,040 Speaker 2: response to this idea of because you were saying, when 161 00:11:17,040 --> 00:11:19,599 Speaker 2: we speak about AI, we're talking about kind of a 162 00:11:19,720 --> 00:11:22,760 Speaker 2: national asset. We're not just speaking about a technology. But 163 00:11:23,200 --> 00:11:25,520 Speaker 2: and especially I guess if you're at the forefront, like 164 00:11:25,640 --> 00:11:28,160 Speaker 2: China is it is kind of the edge that your 165 00:11:28,160 --> 00:11:31,360 Speaker 2: country has over other countries. And so we're now seeing 166 00:11:31,760 --> 00:11:35,000 Speaker 2: this kind of concern about so if we allow this 167 00:11:35,080 --> 00:11:38,040 Speaker 2: thing that's giving us the age to leave, what happens 168 00:11:38,040 --> 00:11:39,200 Speaker 2: to our competitiveness? 169 00:11:39,360 --> 00:11:39,560 Speaker 1: Right? 170 00:11:40,200 --> 00:11:44,200 Speaker 2: But also at the same time, can China keep all 171 00:11:44,360 --> 00:11:46,880 Speaker 2: because they're also they've got this big boom right in 172 00:11:47,000 --> 00:11:51,040 Speaker 2: terms of like models and tech, and are they going 173 00:11:51,080 --> 00:11:53,800 Speaker 2: to be able to keep a handle or keep all 174 00:11:53,840 --> 00:11:56,920 Speaker 2: of them from being sold to other countries or other 175 00:11:56,960 --> 00:12:00,959 Speaker 2: companies and sort of I guess kind of texts this 176 00:12:01,160 --> 00:12:04,160 Speaker 2: age that they have. I mean, I mean, the CCP 177 00:12:04,360 --> 00:12:08,760 Speaker 2: is wide and its riches quite deep. But even then 178 00:12:08,840 --> 00:12:11,199 Speaker 2: could they are they able to keep all that tech 179 00:12:11,720 --> 00:12:12,800 Speaker 2: inside the country. 180 00:12:13,559 --> 00:12:16,400 Speaker 1: So I do think China knows very well. If they 181 00:12:16,440 --> 00:12:23,440 Speaker 1: are to you know, loosen controls, they will allow America 182 00:12:23,600 --> 00:12:27,600 Speaker 1: and the billion technology companies like Meta, Google to just 183 00:12:27,720 --> 00:12:34,160 Speaker 1: acquire these solutions. Also, one of the reasons behind Facebook's 184 00:12:34,240 --> 00:12:38,280 Speaker 1: acquisition of Meta's acquisition of Manners is because they feel 185 00:12:38,360 --> 00:12:43,959 Speaker 1: they're being left behind for around certain generative AI capabilities. 186 00:12:44,480 --> 00:12:47,680 Speaker 1: But also the implications are beyond the technology. As we said, 187 00:12:47,720 --> 00:12:51,560 Speaker 1: look at the hundred people also of a work force 188 00:12:51,640 --> 00:12:55,880 Speaker 1: living talent America to go to America that those have 189 00:12:55,920 --> 00:13:01,320 Speaker 1: got implement, you know, implications on a nation. We've complained 190 00:13:01,320 --> 00:13:05,520 Speaker 1: in Africa about losing talent and you have a company 191 00:13:05,559 --> 00:13:08,560 Speaker 1: that comes and takes away all your smart people just 192 00:13:08,640 --> 00:13:11,480 Speaker 1: like that. That amount of brain drain is not good 193 00:13:11,480 --> 00:13:15,360 Speaker 1: for the future of a country. China as a country 194 00:13:15,440 --> 00:13:19,440 Speaker 1: has been leading in manufacturing because of similar types of 195 00:13:19,520 --> 00:13:23,160 Speaker 1: controls being driven by Ministry of Commerce, and it will 196 00:13:23,160 --> 00:13:26,480 Speaker 1: continue doing that. And I think when we talk about 197 00:13:26,840 --> 00:13:29,960 Speaker 1: AI driving geopolitics, we're going to see these types of 198 00:13:30,600 --> 00:13:35,480 Speaker 1: conflicts and resolutions, you know, cropping up a lot to 199 00:13:35,559 --> 00:13:41,280 Speaker 1: make sure that organizations like China not allowing their IP 200 00:13:41,440 --> 00:13:43,120 Speaker 1: to leave their country. Yeah. 201 00:13:43,200 --> 00:13:46,360 Speaker 2: The World Economic Forum also says, of course tech sovereignties 202 00:13:46,400 --> 00:13:50,439 Speaker 2: now become this political debate. It's kind of the flashpoint 203 00:13:50,480 --> 00:13:53,520 Speaker 2: of a lot of geopolitical things. And they say, but 204 00:13:53,679 --> 00:13:56,040 Speaker 2: now we find ourselves in this interesting position. Right on 205 00:13:56,040 --> 00:13:59,280 Speaker 2: one hand, you want to regulate. One of the criticisms 206 00:13:59,280 --> 00:14:02,120 Speaker 2: certainly of states is they're not moving quickly enough to 207 00:14:02,240 --> 00:14:05,760 Speaker 2: regulate technology that's moving really quickly. But also at the 208 00:14:05,840 --> 00:14:10,679 Speaker 2: same time they say regulation must enable not stifle innovation. 209 00:14:10,960 --> 00:14:15,640 Speaker 2: Over regulation, particularly in emergent text like AI, risks slowing 210 00:14:15,679 --> 00:14:21,240 Speaker 2: down adoption and undermining leadership potential. So again this very 211 00:14:22,040 --> 00:14:25,360 Speaker 2: delicate tension. On one hand, you don't want to have 212 00:14:25,960 --> 00:14:30,360 Speaker 2: no guardrails, no regulation for how these technologies are developed, 213 00:14:30,360 --> 00:14:32,760 Speaker 2: how they are tested, how they are used, how they 214 00:14:32,840 --> 00:14:36,200 Speaker 2: leave the country. But you also don't want too much 215 00:14:36,280 --> 00:14:40,520 Speaker 2: so much so that then no one wants to innovate exactly. 216 00:14:40,560 --> 00:14:48,200 Speaker 1: And that's why we're going to see probably an exploration 217 00:14:48,320 --> 00:14:52,480 Speaker 1: of what we call their partnership based sovereignty. So this 218 00:14:52,600 --> 00:14:55,480 Speaker 1: is a model that allows you know, core creation or 219 00:14:55,560 --> 00:15:02,560 Speaker 1: core innovation leveraging technology across the world. Instead of Meta 220 00:15:03,840 --> 00:15:07,560 Speaker 1: fully acquiring manners, maybe you should have like a joint 221 00:15:07,680 --> 00:15:10,760 Speaker 1: venture between you know, Meta and man as well. Manus 222 00:15:10,840 --> 00:15:14,000 Speaker 1: is still based in China, because China wants to have 223 00:15:14,240 --> 00:15:18,880 Speaker 1: long term benefits of its discovery of the solution. And 224 00:15:18,960 --> 00:15:22,280 Speaker 1: these are critical the policies because we don't want to 225 00:15:22,800 --> 00:15:27,080 Speaker 1: have regulations, like you said, you know, prohibit innovations or 226 00:15:27,160 --> 00:15:30,560 Speaker 1: put off people from coming up with good ideas. So 227 00:15:30,600 --> 00:15:34,440 Speaker 1: these types of approach would help, but you would rather 228 00:15:34,960 --> 00:15:38,560 Speaker 1: not have an innovation that empowers your competitor. I'm telling 229 00:15:38,600 --> 00:15:42,600 Speaker 1: you China will rather not have these types of innovations 230 00:15:42,640 --> 00:15:45,200 Speaker 1: because they know very well they will if you don't 231 00:15:45,240 --> 00:15:48,040 Speaker 1: have proper controls, they will end up on the other side. Right. 232 00:15:48,480 --> 00:15:52,240 Speaker 2: And so when we speak about tech sovereignty, someone I think, okay, 233 00:15:52,240 --> 00:15:55,680 Speaker 2: that is about control, but it sounds as the controls 234 00:15:55,720 --> 00:16:00,360 Speaker 2: only kind of a small part about takes service is 235 00:16:00,400 --> 00:16:01,920 Speaker 2: actually about. 236 00:16:01,720 --> 00:16:06,800 Speaker 1: It's about protection. And there's nothing wrong about control and protection. 237 00:16:08,000 --> 00:16:10,520 Speaker 1: Just like the royal families, and just like you know, 238 00:16:10,680 --> 00:16:13,960 Speaker 1: countries that have done well, they've done well under the 239 00:16:14,040 --> 00:16:17,520 Speaker 1: ampuit of control and and and I've spoken in a 240 00:16:17,520 --> 00:16:20,360 Speaker 1: lot of conferences where people say, no, but you're going 241 00:16:20,400 --> 00:16:25,080 Speaker 1: to hold us back from globalization. Globalization is one thing, 242 00:16:25,160 --> 00:16:28,480 Speaker 1: but it's driven by countries that have developed these assets 243 00:16:28,640 --> 00:16:29,360 Speaker 1: through control. 244 00:16:30,280 --> 00:16:30,400 Speaker 2: Uh. 245 00:16:31,200 --> 00:16:36,560 Speaker 1: Sometimes selfishness can come out as a factor when you're 246 00:16:36,600 --> 00:16:39,760 Speaker 1: putting together these frameworks, but control is good. You even 247 00:16:39,800 --> 00:16:44,560 Speaker 1: get more respected when your national asset like gold, is 248 00:16:44,600 --> 00:16:48,600 Speaker 1: actually being cannot just be accessed by anyone. And that's 249 00:16:48,640 --> 00:16:53,920 Speaker 1: what we must think of when we're entering deals around digitization, 250 00:16:54,320 --> 00:16:58,880 Speaker 1: entering deals around cloud and putting our data into these systems, 251 00:16:58,920 --> 00:17:03,600 Speaker 1: because data to is that national resource and the processing 252 00:17:03,640 --> 00:17:06,520 Speaker 1: of it is the national asset we're talking about. We 253 00:17:06,600 --> 00:17:08,160 Speaker 1: mustn't just treat it anyhow. 254 00:17:08,640 --> 00:17:12,000 Speaker 2: Yeah, and so for a country like ours, So of 255 00:17:12,040 --> 00:17:15,200 Speaker 2: course we're not in the race right now. The race 256 00:17:15,280 --> 00:17:18,040 Speaker 2: is mainly between the US and China. It looks for 257 00:17:18,080 --> 00:17:20,760 Speaker 2: the most part that China is ahead. But is there 258 00:17:21,080 --> 00:17:23,160 Speaker 2: something we could learn Because sometimes there is a benefit 259 00:17:23,200 --> 00:17:25,840 Speaker 2: to being kind of a late adopter. You get to 260 00:17:25,880 --> 00:17:29,359 Speaker 2: watch the leaders get some things right, get them wrong, 261 00:17:29,560 --> 00:17:32,760 Speaker 2: ask some questions, and so what could we be learning 262 00:17:33,359 --> 00:17:36,520 Speaker 2: from the situation playing out in China right now for 263 00:17:36,640 --> 00:17:39,720 Speaker 2: how we think about our tech sovereignty when it comes 264 00:17:39,760 --> 00:17:43,880 Speaker 2: to kind of these AI and data assets. 265 00:17:43,880 --> 00:17:48,600 Speaker 1: There's quite a number of lessons. One is that one 266 00:17:48,720 --> 00:17:54,320 Speaker 1: AI is impact is obvious. And while we're not competing 267 00:17:54,400 --> 00:17:57,280 Speaker 1: with the likes of China and America, we're competing against 268 00:17:57,320 --> 00:18:01,280 Speaker 1: our own opportunities on what we can do, what a 269 00:18:01,400 --> 00:18:04,679 Speaker 1: I can do for us. It's important that we realize 270 00:18:04,720 --> 00:18:08,280 Speaker 1: that if we don't exercise sovereignty, even us winning our 271 00:18:08,359 --> 00:18:12,720 Speaker 1: own rates against ourselves will be very difficult. We need 272 00:18:12,760 --> 00:18:18,520 Speaker 1: to come up with regulations or frameworks that encourage innovation 273 00:18:19,119 --> 00:18:27,280 Speaker 1: under the Umpit of protecting or sovereignty, encouraging relationships or 274 00:18:27,400 --> 00:18:31,520 Speaker 1: national relations with other startups other countries to ensure that, 275 00:18:31,600 --> 00:18:34,840 Speaker 1: you know, there's a balance between control protection as well 276 00:18:34,840 --> 00:18:42,720 Speaker 1: as driving innovations, but most important incentivizing, you know, building 277 00:18:42,760 --> 00:18:46,840 Speaker 1: these solutions so that we can build an Africa and 278 00:18:46,880 --> 00:18:48,919 Speaker 1: the nation we want in the future. Yeah. Yeah, So 279 00:18:48,960 --> 00:18:53,560 Speaker 1: these are very critical leadership decisions around this technology. 280 00:18:53,119 --> 00:18:56,800 Speaker 2: Right And when you say incentivized, what does that look like? 281 00:18:57,000 --> 00:18:59,680 Speaker 2: Is it about kind of getting rid of tape you 282 00:19:00,080 --> 00:19:03,800 Speaker 2: hear about with regards to small business? What would kind 283 00:19:03,840 --> 00:19:07,399 Speaker 2: of incentivizing this kind of technology and innovation look like. 284 00:19:08,320 --> 00:19:12,399 Speaker 1: So we've seen China putting a lot of money in 285 00:19:12,840 --> 00:19:17,080 Speaker 1: local solutions like deeps and created an environment for innovation. 286 00:19:17,680 --> 00:19:21,480 Speaker 1: We've seen them power you know today Chines has got 287 00:19:21,480 --> 00:19:26,000 Speaker 1: the highest number of AI factories because it's created environment 288 00:19:26,040 --> 00:19:29,720 Speaker 1: where it's easy for data scientists AI research as to 289 00:19:29,800 --> 00:19:33,479 Speaker 1: experiment and come up with solutions to national problems that 290 00:19:33,560 --> 00:19:39,840 Speaker 1: can also be used or be used across the world. 291 00:19:40,760 --> 00:19:47,120 Speaker 1: We've also seen them drive initiatives around the nation understanding 292 00:19:47,160 --> 00:19:51,320 Speaker 1: the implication of getting it wrong. Singapore is doing the 293 00:19:51,359 --> 00:19:58,160 Speaker 1: same thing, driving literacy. We've seen the Canada also building 294 00:19:58,160 --> 00:20:02,560 Speaker 1: strategies around making sure that empower and humanize how AI 295 00:20:03,080 --> 00:20:07,880 Speaker 1: is adopted. And the key is that you empower the technology, 296 00:20:07,920 --> 00:20:11,360 Speaker 1: but also you build its implication around what it can 297 00:20:11,440 --> 00:20:14,240 Speaker 1: do for society so that you know it's built under 298 00:20:14,280 --> 00:20:19,359 Speaker 1: the loyalty of national interests. And this is very critical 299 00:20:19,600 --> 00:20:23,040 Speaker 1: as part of strategizing with this technology for the future. 300 00:20:23,640 --> 00:20:27,000 Speaker 2: Yes, Doctor Nascilla, always a great pleasure chatting to you. 301 00:20:27,119 --> 00:20:29,399 Speaker 2: Thank you so so much for your time this morning. 302 00:20:29,720 --> 00:20:32,760 Speaker 1: Thank you so much. I hope we can have some 303 00:20:32,840 --> 00:20:37,280 Speaker 1: controls around some of the solutions we're developing in Africa 304 00:20:37,400 --> 00:20:41,440 Speaker 1: so that they can power our industries and we don't 305 00:20:41,480 --> 00:20:42,200 Speaker 1: lose them. Yeah. 306 00:20:43,080 --> 00:20:45,560 Speaker 2: That is Chief Data and Analytics afside, Eff and b 307 00:20:45,720 --> 00:20:49,040 Speaker 2: Risk at doctor Mark Nacilla joining us for our future 308 00:20:49,119 --> 00:20:51,840 Speaker 2: of this morning. Coming up, we wrap up the show 309 00:20:51,840 --> 00:20:54,679 Speaker 2: in the literature corner. We talk about a new kitties 310 00:20:54,680 --> 00:20:58,880 Speaker 2: for called Tandese paper Bracelets. It's certained by Hotels Faith Home. 311 00:20:59,560 --> 00:21:02,480 Speaker 2: They are a storyteller, a children's book or children's book 312 00:21:02,520 --> 00:21:05,760 Speaker 2: author and communications creative. They'll join us in the studio, 313 00:21:06,119 --> 00:21:10,359 Speaker 2: but before that, it's very busy sporting weekend already, so 314 00:21:10,440 --> 00:21:13,080 Speaker 2: let's check in with you latest eye witness New Sport 315 00:21:13,240 --> 00:21:14,200 Speaker 2: with Underneath Shade