1 00:00:00,120 --> 00:00:02,759 Speaker 1: Let's get to our next guest in Capital founding partner 2 00:00:03,000 --> 00:00:05,440 Speaker 1: Jennifer Zoo Scott joins me here on the set of 3 00:00:05,519 --> 00:00:08,879 Speaker 1: the third and final day of the Bloomberg New Economy Forum. 4 00:00:09,080 --> 00:00:10,960 Speaker 1: Great to have you with us, Jennifer. I think a 5 00:00:11,000 --> 00:00:13,280 Speaker 1: lot of people have been sensing a little bit of 6 00:00:13,320 --> 00:00:15,160 Speaker 1: your fourier, at least at the beginning of the week 7 00:00:15,200 --> 00:00:18,439 Speaker 1: that we saw Presidents Biden and She finally talk. We 8 00:00:18,560 --> 00:00:21,280 Speaker 1: know that the US China tech tensions have really been 9 00:00:21,360 --> 00:00:24,319 Speaker 1: weighing on the overall investment picture. How much did the 10 00:00:24,360 --> 00:00:27,920 Speaker 1: two superpowers really need to collaborate here? Thank you for 11 00:00:27,960 --> 00:00:31,080 Speaker 1: having me, Julie agreed to be here. It's a great question, 12 00:00:31,360 --> 00:00:34,720 Speaker 1: we are. The timing of the Broomberg's New Economy Conference 13 00:00:34,800 --> 00:00:38,600 Speaker 1: this year hasn't been better. Timing, um, with the framework 14 00:00:38,720 --> 00:00:43,040 Speaker 1: that President She and Biden have laid out, really provided 15 00:00:43,080 --> 00:00:48,080 Speaker 1: a lot of substantial policies and business discussions to fitting 16 00:00:48,159 --> 00:00:53,000 Speaker 1: to this new framework that's more collaborative, seeking to coexist 17 00:00:53,440 --> 00:00:58,120 Speaker 1: and while embracing shadows differences. So I think this year Um, 18 00:00:58,160 --> 00:01:01,680 Speaker 1: of course, there are some hard areas not as such 19 00:01:01,720 --> 00:01:05,080 Speaker 1: as you know, cheap act um. In terms of some 20 00:01:05,160 --> 00:01:11,600 Speaker 1: trade issues, UM, the climate on Russia on a lot 21 00:01:11,640 --> 00:01:14,160 Speaker 1: of those issues. Actually, I think now it's on a 22 00:01:14,240 --> 00:01:17,600 Speaker 1: much more collaborative tongue, which is very good news. However, 23 00:01:17,760 --> 00:01:22,400 Speaker 1: as um uh Kissinger mentioned in the first day, UM 24 00:01:22,560 --> 00:01:25,840 Speaker 1: with the framework is very important. The possibility of the 25 00:01:25,880 --> 00:01:29,200 Speaker 1: bridge has been laid out. But if there's no substance 26 00:01:29,560 --> 00:01:33,360 Speaker 1: following this framework, we will still get back to background 27 00:01:33,480 --> 00:01:35,680 Speaker 1: zero one. And it does sort of seem like tech 28 00:01:35,760 --> 00:01:39,640 Speaker 1: decuple of decoupling, excuse me, is accelerating. What does that 29 00:01:39,720 --> 00:01:41,679 Speaker 1: mean when you look at the overall tech picture in 30 00:01:41,760 --> 00:01:46,840 Speaker 1: terms of investibility. I think, unfortunately, we might see this 31 00:01:47,040 --> 00:01:51,440 Speaker 1: kind of tech decoupling for a very long time because 32 00:01:51,880 --> 00:01:56,040 Speaker 1: the if if US continue to detern you know, defined 33 00:01:56,080 --> 00:02:00,639 Speaker 1: its interest as maintain the dominance forever UH out China 34 00:02:00,840 --> 00:02:04,080 Speaker 1: at the same time, with the largest the market, with 35 00:02:04,240 --> 00:02:07,240 Speaker 1: a ton of capital, and also with you know, a 36 00:02:07,280 --> 00:02:12,440 Speaker 1: few times more of engineering students graduating every year, it's 37 00:02:12,560 --> 00:02:19,320 Speaker 1: impossible to just contain China to stop UM developing and innovating. UM. 38 00:02:19,440 --> 00:02:23,320 Speaker 1: For example, with the chip industry, China didn't really have 39 00:02:23,400 --> 00:02:28,280 Speaker 1: a semiconductor industry properly, you know, started UM only a 40 00:02:28,320 --> 00:02:31,600 Speaker 1: couple of years ago, and UM. I talked to some 41 00:02:31,680 --> 00:02:35,440 Speaker 1: of the investors and founders in China UM. Some of 42 00:02:35,480 --> 00:02:39,560 Speaker 1: them joke that the founder of China semiconductor industry is 43 00:02:39,720 --> 00:02:44,040 Speaker 1: actually Trump. So so so, I do think this kind 44 00:02:44,080 --> 00:02:48,239 Speaker 1: of a decoupling will continue and it will become more 45 00:02:48,320 --> 00:02:52,760 Speaker 1: competition vocalization of the two countries. Vocalization both in terms 46 00:02:52,800 --> 00:02:57,880 Speaker 1: of UM technology, logical vocalization, but also operating. What we 47 00:02:57,960 --> 00:03:02,440 Speaker 1: see companies like TikTok as very separate strategy for China 48 00:03:02,639 --> 00:03:06,840 Speaker 1: and also outside of China for investment. Of of course, 49 00:03:06,880 --> 00:03:09,639 Speaker 1: a lot of funds that started looking into a very 50 00:03:09,680 --> 00:03:14,280 Speaker 1: separate strategy how to bypass or how to navigate this 51 00:03:14,440 --> 00:03:17,840 Speaker 1: kind of capital from this side of the Pound Pacific 52 00:03:17,919 --> 00:03:20,320 Speaker 1: to go into some of the tech company that side 53 00:03:20,760 --> 00:03:24,519 Speaker 1: UM and vice versa. However, I think it's not going 54 00:03:24,560 --> 00:03:28,080 Speaker 1: to stop the activities. It's just making the world much 55 00:03:28,120 --> 00:03:32,480 Speaker 1: more UM complex and less interrogable. Well interesting, you bring 56 00:03:32,560 --> 00:03:35,640 Speaker 1: up TikTok because we look at user data and the like. 57 00:03:35,800 --> 00:03:38,119 Speaker 1: I mean, we talk about good and bad tech. Where 58 00:03:38,120 --> 00:03:40,680 Speaker 1: do you see the line being drawn? There is? Is 59 00:03:40,720 --> 00:03:43,480 Speaker 1: there an example they can co exist together? I mean, 60 00:03:43,600 --> 00:03:46,280 Speaker 1: there's also the connectivity of the world via a lot 61 00:03:46,320 --> 00:03:50,280 Speaker 1: of these apps that particularly younger people are using. Great question. 62 00:03:50,560 --> 00:03:53,920 Speaker 1: I think it's we have to we have to look 63 00:03:53,960 --> 00:03:56,520 Speaker 1: at this good back tech in the kind of global 64 00:03:56,600 --> 00:03:59,520 Speaker 1: lens and then China lens. Um there are some common ground, 65 00:03:59,600 --> 00:04:02,440 Speaker 1: by the way, so there are some differences. So globally, 66 00:04:02,480 --> 00:04:04,720 Speaker 1: I do think we have come to the inflection point 67 00:04:04,840 --> 00:04:07,880 Speaker 1: the world realized this digital economy at one point. Oh, 68 00:04:07,920 --> 00:04:11,280 Speaker 1: with a large meat social media companies not only just 69 00:04:11,360 --> 00:04:16,640 Speaker 1: bring tremendous um negative impact to youth you know, mental 70 00:04:16,640 --> 00:04:20,640 Speaker 1: health and also you know, make the world much more polarized. Um. 71 00:04:20,880 --> 00:04:23,640 Speaker 1: And on the board of Web Science Trust, which was 72 00:04:24,000 --> 00:04:27,599 Speaker 1: funded by Tim berners Lee himself, um really you know, 73 00:04:27,640 --> 00:04:31,599 Speaker 1: gather all those academics too. Every year we we think 74 00:04:31,640 --> 00:04:35,440 Speaker 1: about what is the function of Internet and how Internet 75 00:04:35,440 --> 00:04:38,599 Speaker 1: should develop a going future and reflecting back in the 76 00:04:38,760 --> 00:04:42,599 Speaker 1: in the nineties that when Internet was first invented, was 77 00:04:42,640 --> 00:04:47,279 Speaker 1: intended to be um, you know, transcending the you know, 78 00:04:47,400 --> 00:04:52,480 Speaker 1: national borders and international and democratized information. But looking where 79 00:04:52,480 --> 00:04:56,000 Speaker 1: we are today and um, so I do think the 80 00:04:56,120 --> 00:05:00,719 Speaker 1: globally it doesn't matter in the Europe that the response 81 00:05:00,800 --> 00:05:04,920 Speaker 1: mostly come from regulation. In US, the response usually come 82 00:05:04,960 --> 00:05:10,200 Speaker 1: from antitrust and China, it's a very different response altogether. Um. 83 00:05:10,600 --> 00:05:15,000 Speaker 1: You know, often the world interpreted China's reaction to big 84 00:05:15,040 --> 00:05:19,080 Speaker 1: tech as the cracking down tech, but the good tech 85 00:05:19,120 --> 00:05:22,600 Speaker 1: back tech um contexts in China is a little bit 86 00:05:22,640 --> 00:05:27,760 Speaker 1: different compared to this global lens which is in China. UM. 87 00:05:28,080 --> 00:05:31,080 Speaker 1: I think the government does not regard those companies that 88 00:05:31,200 --> 00:05:35,280 Speaker 1: basically gather hundreds of millions of people with the smartphone 89 00:05:35,560 --> 00:05:40,560 Speaker 1: and provide this kind of digitalized daily activity as innovation anymore. 90 00:05:41,040 --> 00:05:45,520 Speaker 1: Especially a lot of those companies have problems with molopoly 91 00:05:45,640 --> 00:05:51,200 Speaker 1: or duopoli or um, you know, potentially providing systema systematic 92 00:05:51,480 --> 00:05:56,320 Speaker 1: um risk in financial market because they buy they intend 93 00:05:56,320 --> 00:06:00,240 Speaker 1: to bypass some of the regulation. Um. The innovation that 94 00:06:00,320 --> 00:06:02,880 Speaker 1: the good tech in China in China is just speaking 95 00:06:02,880 --> 00:06:06,680 Speaker 1: from Chinese government's lens. Um, the good tax are the 96 00:06:06,720 --> 00:06:10,240 Speaker 1: deep tech. So they are actually very well defined. Eight 97 00:06:10,279 --> 00:06:14,160 Speaker 1: areas such as quantum computing as that where you're investing 98 00:06:14,160 --> 00:06:15,880 Speaker 1: because we're running out of time, but I do want 99 00:06:15,880 --> 00:06:18,960 Speaker 1: to get an idea of where in capital is investing. Yes, 100 00:06:19,120 --> 00:06:22,880 Speaker 1: we very much focus on deep tech and the first 101 00:06:23,040 --> 00:06:26,480 Speaker 1: three vertical we focused on climate tech using AI blotching 102 00:06:26,560 --> 00:06:29,520 Speaker 1: a lot of those technologies, but also uh we focus 103 00:06:29,600 --> 00:06:33,360 Speaker 1: on AI as well, and right now those two, these 104 00:06:33,400 --> 00:06:36,080 Speaker 1: two verticals, we're spending a lot of time to figure 105 00:06:36,120 --> 00:06:39,160 Speaker 1: out the nuances of the industry and also the nuances 106 00:06:39,200 --> 00:06:43,520 Speaker 1: of all this new regulatory geopolitical environment. We're also investing 107 00:06:44,240 --> 00:06:49,200 Speaker 1: webs free, but mostly on quantit trading without touching, you know, crypto. 108 00:06:49,320 --> 00:06:53,480 Speaker 1: I think crypto itself probably is that for some years 109 00:06:53,520 --> 00:06:55,560 Speaker 1: to come, all right, and obviously needs a lot more 110 00:06:55,640 --> 00:06:58,359 Speaker 1: regulation considering what we've seen recently as well. Thank you 111 00:06:58,400 --> 00:07:00,919 Speaker 1: so much for your time, Jennifers us it's got the 112 00:07:01,000 --> 00:07:04,760 Speaker 1: in Capital founding partner with me here on the third 113 00:07:04,880 --> 00:07:07,520 Speaker 1: and final day of the Bloomberg New Economy Forum, live 114 00:07:07,680 --> 00:07:08,599 Speaker 1: from Singapore,