1 00:00:02,720 --> 00:00:17,720 Speaker 1: Bloomberg Audio Studios, Podcasts, radio News. 2 00:00:18,560 --> 00:00:21,480 Speaker 2: Hello and welcome to another episode of the Authoughts podcast. 3 00:00:21,560 --> 00:00:22,880 Speaker 2: I'm Tracy Alloway. 4 00:00:22,600 --> 00:00:24,600 Speaker 3: And I'm Joe. Wasn't thal Joe. 5 00:00:24,640 --> 00:00:28,120 Speaker 2: We are recording this on August twenty seventh. Did you 6 00:00:28,320 --> 00:00:30,960 Speaker 2: catch the Trump Cabinet meeting yesterday? 7 00:00:32,880 --> 00:00:35,159 Speaker 3: I saw your tweets and they looked like some of 8 00:00:35,159 --> 00:00:40,199 Speaker 3: the most obsequious. I mean a lot of these unusually obsequious. 9 00:00:40,240 --> 00:00:42,239 Speaker 3: But even yes, I. 10 00:00:42,200 --> 00:00:45,040 Speaker 2: Saw your tweets, you could just say yes. So there 11 00:00:45,040 --> 00:00:47,440 Speaker 2: are a bunch of things that stood out, But one 12 00:00:47,600 --> 00:00:52,040 Speaker 2: in particular was Donald Trump talking about building out new 13 00:00:52,159 --> 00:00:57,200 Speaker 2: energy capacity and he said specifically, I'm going to quote here. 14 00:00:57,600 --> 00:01:00,319 Speaker 2: You know, in China they do it very quickly. They 15 00:01:00,320 --> 00:01:02,480 Speaker 2: have one person that says do it, and that's it. 16 00:01:02,640 --> 00:01:05,040 Speaker 2: But essentially, we have one person that says do it, 17 00:01:05,440 --> 00:01:06,960 Speaker 2: and we've given that order. 18 00:01:07,400 --> 00:01:10,959 Speaker 3: Yeah, you know, like he's very abundance coded. He wants 19 00:01:11,000 --> 00:01:13,319 Speaker 3: to like he wants to get rid of all of 20 00:01:13,360 --> 00:01:15,920 Speaker 3: the uh or he seems to have this impulse to 21 00:01:15,959 --> 00:01:19,080 Speaker 3: get rid of all of the myriad checks and balances 22 00:01:19,200 --> 00:01:21,440 Speaker 3: and all these things that stand in the way of 23 00:01:21,480 --> 00:01:24,679 Speaker 3: developing things. So it sounds like Trump is abundance pilled. 24 00:01:24,720 --> 00:01:26,640 Speaker 3: I assume that's the direction you're going on. Yes. 25 00:01:26,760 --> 00:01:29,200 Speaker 2: If there's one thing I think you could say about 26 00:01:29,319 --> 00:01:32,480 Speaker 2: China's economy and it's political economy, it is that China 27 00:01:32,640 --> 00:01:35,640 Speaker 2: is pretty good at building things, yes, right, And we've 28 00:01:35,680 --> 00:01:38,959 Speaker 2: seen various examples of that over time. Back when I 29 00:01:39,040 --> 00:01:40,920 Speaker 2: was living in Hong Kong, I took the high speed 30 00:01:41,000 --> 00:01:44,560 Speaker 2: rail from Hong Kong to Beijing and that was absolutely amazing. 31 00:01:44,600 --> 00:01:46,640 Speaker 2: You get to Beijing in less than a day. The 32 00:01:46,760 --> 00:01:49,960 Speaker 2: US is nowhere near having anything like that, and I 33 00:01:50,000 --> 00:01:53,160 Speaker 2: speak as someone who takes Amtrak in the Northeast regularly. 34 00:01:53,880 --> 00:01:58,320 Speaker 2: On the other hand, China at various times has produced 35 00:01:58,360 --> 00:01:58,840 Speaker 2: too much. 36 00:01:59,000 --> 00:01:59,200 Speaker 4: Right. 37 00:02:00,800 --> 00:02:03,960 Speaker 3: It's accused as such, right. I know that people say. 38 00:02:03,720 --> 00:02:08,080 Speaker 2: This, okay, But for instance, you think back to the 39 00:02:08,120 --> 00:02:10,480 Speaker 2: Ghost City, Sure bridges to nowhere. 40 00:02:10,800 --> 00:02:12,960 Speaker 3: Sure at they were bridges to nowhere at the time. 41 00:02:13,280 --> 00:02:15,000 Speaker 2: Amusement parks that no one goes to. 42 00:02:15,200 --> 00:02:17,720 Speaker 3: Definitely, although we have amusement parks here that no one 43 00:02:17,760 --> 00:02:18,600 Speaker 3: goes to. 44 00:02:18,639 --> 00:02:23,560 Speaker 2: Disagree or disagree hard. But this has sparked a new 45 00:02:23,680 --> 00:02:28,120 Speaker 2: movement in China by policymakers called involution yes, which is 46 00:02:28,160 --> 00:02:32,240 Speaker 2: basically an attempt to reduce over capacity in terms of 47 00:02:32,240 --> 00:02:32,799 Speaker 2: building things. 48 00:02:32,919 --> 00:02:36,440 Speaker 3: There's definitely no question that there does seem to be 49 00:02:36,520 --> 00:02:40,959 Speaker 3: this phenomenon which the government in Beijing seems highly cognizant of, 50 00:02:41,320 --> 00:02:44,960 Speaker 3: which is this sort of like profitless competition, much of 51 00:02:44,960 --> 00:02:47,680 Speaker 3: it driven by the incentive structure that is borne by 52 00:02:47,720 --> 00:02:51,280 Speaker 3: the provinces promoting their local champions, and so far as 53 00:02:51,400 --> 00:02:53,720 Speaker 3: much like sort of success as some of these companies 54 00:02:53,760 --> 00:02:56,440 Speaker 3: have on some metrics, there's no money to be made 55 00:02:56,520 --> 00:02:58,640 Speaker 3: in many cases. It sounds sort of nice from the 56 00:02:58,680 --> 00:03:01,760 Speaker 3: consumer perspective, you know, it's like Zurbier twenty tens when 57 00:03:01,800 --> 00:03:03,920 Speaker 3: we were all getting like, you know, cheap ubers and 58 00:03:03,919 --> 00:03:07,040 Speaker 3: stuff like that. But you know, there's a seems to 59 00:03:07,080 --> 00:03:09,160 Speaker 3: be a risk of certain internal imbalances on that. 60 00:03:09,440 --> 00:03:10,840 Speaker 2: I think the issue is you have a lot of 61 00:03:10,880 --> 00:03:14,799 Speaker 2: companies who are basically producing all the same thing and therefore, 62 00:03:15,000 --> 00:03:17,280 Speaker 2: you know, racing to the bottom in terms of price, 63 00:03:17,440 --> 00:03:19,560 Speaker 2: and no one can actually make money. And I don't 64 00:03:19,560 --> 00:03:22,000 Speaker 2: know about you, but if I was a startup founder, 65 00:03:22,120 --> 00:03:24,480 Speaker 2: I would probably want to make money right at some point. 66 00:03:24,520 --> 00:03:27,360 Speaker 2: I would not want to be locked in a forever 67 00:03:27,520 --> 00:03:31,600 Speaker 2: competition in terms of who could drive the absolute lowest cost. 68 00:03:31,720 --> 00:03:33,880 Speaker 3: Well, what if you were just a normal consumer who 69 00:03:33,919 --> 00:03:34,640 Speaker 3: wasn't a founder? 70 00:03:35,120 --> 00:03:38,920 Speaker 2: Sadly, that is what I am. Okay, Well, on this note, 71 00:03:39,160 --> 00:03:41,520 Speaker 2: we have the perfect guest. We're going to be speaking 72 00:03:41,600 --> 00:03:44,720 Speaker 2: with Dan Wong, friend of the Pod and who has 73 00:03:44,840 --> 00:03:48,920 Speaker 2: just written a new book called Breakneck China's Quest to 74 00:03:49,000 --> 00:03:51,840 Speaker 2: Engineer the Future. He's also a research scholar at the 75 00:03:51,840 --> 00:03:54,320 Speaker 2: Hoover Institution. So Dan, welcome back to the show. 76 00:03:54,600 --> 00:03:57,720 Speaker 4: Thanks so much, Tracy, really glad to talk about moby 77 00:03:57,760 --> 00:03:58,920 Speaker 4: Dick with my friends. 78 00:04:00,360 --> 00:04:02,480 Speaker 3: Why do coach trouble? Why do you coble? 79 00:04:02,560 --> 00:04:04,400 Speaker 2: You know, I was actually wondering if you were going 80 00:04:04,440 --> 00:04:06,840 Speaker 2: to bring up the Moby Dick reference. 81 00:04:06,640 --> 00:04:09,560 Speaker 4: The problem Joe, I've been a ket for a very 82 00:04:09,600 --> 00:04:11,480 Speaker 4: long time. Maybe this is the way needs to be 83 00:04:11,520 --> 00:04:12,720 Speaker 4: getting into That's. 84 00:04:12,640 --> 00:04:16,320 Speaker 2: Right, okay, simple question to start. Why does China like 85 00:04:16,360 --> 00:04:17,080 Speaker 2: building stuff? 86 00:04:17,320 --> 00:04:20,520 Speaker 4: China likes building stuff because it is made up of 87 00:04:21,240 --> 00:04:25,880 Speaker 4: leadership that is very heavily engineering pilled. Many of them 88 00:04:25,960 --> 00:04:30,960 Speaker 4: have been engineer's trained of a very Soviet sort, hydraulic engineers, 89 00:04:31,000 --> 00:04:34,760 Speaker 4: electrical engineers, thermal engineers, which is kind of a termine China. 90 00:04:34,800 --> 00:04:39,440 Speaker 4: That means producing coal and processing coal, they treat the 91 00:04:39,880 --> 00:04:44,080 Speaker 4: megaproject as the solution to every problem. They are building 92 00:04:44,279 --> 00:04:47,640 Speaker 4: enormous dams. They're building a big new dam now that 93 00:04:47,760 --> 00:04:50,000 Speaker 4: is going to use sixty times more concrete than the 94 00:04:50,040 --> 00:04:53,039 Speaker 4: Hoover dam. They're it's going to produce I think, three 95 00:04:53,040 --> 00:04:55,839 Speaker 4: times as much power as the three gorgeous dam. But 96 00:04:55,960 --> 00:04:58,760 Speaker 4: this is a lot of their solutions to a lot 97 00:04:58,800 --> 00:05:01,839 Speaker 4: of different economic problems and social problems as well. That 98 00:05:02,400 --> 00:05:06,080 Speaker 4: new highways, new homes, coal plants, hyperscalers. It's what they 99 00:05:06,120 --> 00:05:07,880 Speaker 4: know how to do, and it's what they're going to do. 100 00:05:08,360 --> 00:05:09,880 Speaker 3: First of all, Before we go any further, I just 101 00:05:09,920 --> 00:05:12,599 Speaker 3: want to say it, like, having spoken to for years, 102 00:05:12,640 --> 00:05:15,799 Speaker 3: I'm thrilled of all the recognition you're getting for this book. 103 00:05:16,320 --> 00:05:18,640 Speaker 3: I know we weren't like the first to discover Dan Wong. 104 00:05:18,680 --> 00:05:22,080 Speaker 3: I think Tyler Cowen got there first, but it's been 105 00:05:22,160 --> 00:05:24,920 Speaker 3: fantastic talking to you over the years, and there's sort 106 00:05:24,920 --> 00:05:27,920 Speaker 3: of like a vindication I think of your career, et cetera, 107 00:05:27,960 --> 00:05:30,720 Speaker 3: because now everyone wants to see the world through the 108 00:05:30,800 --> 00:05:34,280 Speaker 3: Dan Wong lund. So think I just wanted to say 109 00:05:34,279 --> 00:05:35,960 Speaker 3: how exciting it is and happy for you that you're 110 00:05:35,960 --> 00:05:36,360 Speaker 3: getting all. 111 00:05:36,279 --> 00:05:38,159 Speaker 2: This is channeling the Trump cabinet. 112 00:05:38,720 --> 00:05:44,599 Speaker 3: Oh wow, I'm being am I Trump. Yeah, yeah, I guess, okay, good, Okay. 113 00:05:45,000 --> 00:05:47,640 Speaker 3: As Tracy mentioned, Trump talked about you know if someone 114 00:05:47,640 --> 00:05:49,799 Speaker 3: says do it and then they do it. But I'm curious, 115 00:05:49,880 --> 00:05:52,400 Speaker 3: like how much is it? Would you say, like the 116 00:05:52,440 --> 00:05:57,480 Speaker 3: political system really allows for that versus the actual like 117 00:05:57,839 --> 00:06:01,400 Speaker 3: breadth of labor and just engineering knowledge, Like how would 118 00:06:01,400 --> 00:06:04,520 Speaker 3: you tilt the sort of political structure versus the skills. 119 00:06:05,040 --> 00:06:05,760 Speaker 3: I think it's both. 120 00:06:06,240 --> 00:06:10,600 Speaker 4: So China has a lot of economic ministries like the NDERC, 121 00:06:10,839 --> 00:06:14,560 Speaker 4: the National Development and Reform Commission, and the MIIT, the 122 00:06:14,560 --> 00:06:18,839 Speaker 4: Ministry of Industry and Information Technologies. You have all of 123 00:06:18,880 --> 00:06:21,719 Speaker 4: these planners that are making new plans all the time, 124 00:06:21,839 --> 00:06:25,800 Speaker 4: and they have exactly great plans to know where the 125 00:06:25,839 --> 00:06:29,080 Speaker 4: next subway station in Beijing or Shinjin or quimming On 126 00:06:29,200 --> 00:06:32,280 Speaker 4: to go. And so there's plenty of shovel ready projects 127 00:06:32,360 --> 00:06:35,279 Speaker 4: because people have already been planning for these things for years. 128 00:06:35,720 --> 00:06:39,160 Speaker 4: And every time China's economy has any sort of a wobble, 129 00:06:39,440 --> 00:06:42,520 Speaker 4: then the Communist Party says, okay, well we're going to 130 00:06:42,560 --> 00:06:44,880 Speaker 4: build another really big dam, or we're going to build 131 00:06:44,920 --> 00:06:47,400 Speaker 4: more highway systems. So you have a lot of shovel 132 00:06:47,400 --> 00:06:50,240 Speaker 4: ready projects in place, and then you have the government 133 00:06:50,360 --> 00:06:53,280 Speaker 4: thinking that while pouring more concrete is still going to 134 00:06:53,320 --> 00:06:55,680 Speaker 4: be the solution to a lot of our different problems. 135 00:06:56,040 --> 00:06:58,640 Speaker 4: And on top of that, you have a very skilled 136 00:06:58,839 --> 00:07:02,880 Speaker 4: manufacturing workforce. You have a very skilled public sector that 137 00:07:03,000 --> 00:07:05,160 Speaker 4: has been building a lot of high speed trains, that 138 00:07:05,200 --> 00:07:06,840 Speaker 4: have been building a lot of big ships, that have 139 00:07:06,960 --> 00:07:10,040 Speaker 4: been building subway systems. They know how to do this stuff, 140 00:07:10,080 --> 00:07:12,120 Speaker 4: and so it just comes really naturally. You have the 141 00:07:12,160 --> 00:07:15,280 Speaker 4: system plus the politics all favoring a lot of construction. 142 00:07:15,720 --> 00:07:19,520 Speaker 2: When you say Chinese policy makers are made up of engineers, 143 00:07:20,040 --> 00:07:22,600 Speaker 2: I have two questions. So one, how did that come 144 00:07:22,640 --> 00:07:24,960 Speaker 2: to be? And then secondly, could you maybe give us 145 00:07:25,000 --> 00:07:30,000 Speaker 2: some specific examples of how that manifests in actual policy. So, 146 00:07:30,040 --> 00:07:34,280 Speaker 2: for instance, does having an engineering background make you perhaps 147 00:07:35,000 --> 00:07:38,800 Speaker 2: better at making strategic decisions about economic priorities? Like how 148 00:07:38,840 --> 00:07:41,440 Speaker 2: does that background actually come into play? 149 00:07:42,040 --> 00:07:46,280 Speaker 4: I think China's engineering state has deep roots, but the 150 00:07:46,480 --> 00:07:51,000 Speaker 4: modern manifestation really took shape after the nineteen eighties when 151 00:07:51,080 --> 00:07:54,440 Speaker 4: dunzhel Peing took over from the total mayhem of the 152 00:07:54,480 --> 00:07:58,720 Speaker 4: mal Years and dounzheal Peing thought, well, Mao was kind 153 00:07:58,760 --> 00:08:02,120 Speaker 4: of this poet. He was a warlord, he was a romantic, 154 00:08:02,200 --> 00:08:03,120 Speaker 4: he was a murderer. 155 00:08:03,440 --> 00:08:05,080 Speaker 3: What is the opposite of all of that. 156 00:08:05,440 --> 00:08:08,520 Speaker 4: Well, we're going to put mechanical engineers within the polit bureau, 157 00:08:08,600 --> 00:08:11,119 Speaker 4: and that is exactly what Deng Xiaoping did. So throughout 158 00:08:11,160 --> 00:08:14,200 Speaker 4: the nineteen eighties and the nineteen nineties, don't put a 159 00:08:14,240 --> 00:08:16,520 Speaker 4: lot of engineers in the polit bureau, such that by 160 00:08:16,560 --> 00:08:19,040 Speaker 4: the year two thousand and two, every single member of 161 00:08:19,080 --> 00:08:22,320 Speaker 4: the Standing Committee, all nine people, especially Hu Jintao and 162 00:08:22,360 --> 00:08:25,720 Speaker 4: Buen Jabal, the General Secretary and the Premier at the time, 163 00:08:25,880 --> 00:08:28,760 Speaker 4: everyone had degrees in engineering, and that. 164 00:08:28,720 --> 00:08:30,160 Speaker 3: Has fluctuated a little bit. 165 00:08:30,360 --> 00:08:32,880 Speaker 4: By the time that Seizing Pain came to office, who's 166 00:08:32,960 --> 00:08:36,319 Speaker 4: undergrad was a chemical engineer, I think he saw the 167 00:08:36,400 --> 00:08:40,000 Speaker 4: light and his doctorate was Marxist economics, so you know, 168 00:08:40,000 --> 00:08:42,920 Speaker 4: we have a pseudo economist up there. By the time 169 00:08:42,960 --> 00:08:46,280 Speaker 4: that he came into office, his Premier, He Kutiang, was 170 00:08:46,320 --> 00:08:49,360 Speaker 4: trained in I believe law in the economics. But now 171 00:08:49,520 --> 00:08:53,319 Speaker 4: in the twentieth Party Congress after twenty twenty two, China's 172 00:08:53,600 --> 00:08:56,560 Speaker 4: engineers are really dominant again, which you have a lot 173 00:08:56,640 --> 00:09:00,360 Speaker 4: of people from the military industrial complex in the top 174 00:09:00,520 --> 00:09:03,200 Speaker 4: of the politbureau. But I also want to suggest, but 175 00:09:03,280 --> 00:09:07,160 Speaker 4: playfully and lightly, that there are ancient roots of China's 176 00:09:07,160 --> 00:09:10,520 Speaker 4: engineering state as well. This is famously the state that 177 00:09:10,720 --> 00:09:16,080 Speaker 4: administered a vast exam nation system, which people became mandarins 178 00:09:16,080 --> 00:09:18,880 Speaker 4: by doing these exams administered by the court. 179 00:09:19,440 --> 00:09:20,920 Speaker 3: You had a lot of. 180 00:09:21,120 --> 00:09:25,240 Speaker 4: Chinese emperors that didn't hesitate to conscript people to build 181 00:09:25,280 --> 00:09:28,520 Speaker 4: great walls or grand canals. So these are fortifications and 182 00:09:28,640 --> 00:09:31,120 Speaker 4: waterway systems, and so I don't want to take this 183 00:09:31,160 --> 00:09:33,760 Speaker 4: too literally, but you can sort of see how a 184 00:09:33,760 --> 00:09:37,280 Speaker 4: lot of emperors never really hesitated to completely restructure a 185 00:09:37,320 --> 00:09:40,160 Speaker 4: person's relationship to our land. And so that's a little 186 00:09:40,160 --> 00:09:40,800 Speaker 4: bit deeper too. 187 00:09:41,360 --> 00:09:44,880 Speaker 3: So, you know, Tracy mentioned that, and I have no 188 00:09:45,000 --> 00:09:46,920 Speaker 3: doubt that it is true that there's you know, these 189 00:09:46,960 --> 00:09:49,880 Speaker 3: various like white elephant projects are things that get built 190 00:09:49,880 --> 00:09:52,439 Speaker 3: that aren't necessary. In your book talks about them. All 191 00:09:52,480 --> 00:09:54,800 Speaker 3: that being said, it seems like one of the objective 192 00:09:54,800 --> 00:09:58,320 Speaker 3: facts in the world is that Chinese living standards and 193 00:09:58,679 --> 00:10:02,080 Speaker 3: the economy has dramatically in the last ten twenty years, 194 00:10:02,080 --> 00:10:05,840 Speaker 3: like to an extraordinary degree. Does the success of all 195 00:10:05,880 --> 00:10:09,959 Speaker 3: these Chinese planning boards? Do you think it strikes a 196 00:10:10,040 --> 00:10:13,679 Speaker 3: heart in certain conventionalism, planning isn't supposed to work. Economists 197 00:10:13,720 --> 00:10:18,120 Speaker 3: are very skeptical of planning, the hi Ekian idea that 198 00:10:18,160 --> 00:10:21,200 Speaker 3: the market and prices are the best signals for these things. 199 00:10:21,360 --> 00:10:24,200 Speaker 3: What kind of challenge does China's success opposed to some 200 00:10:24,240 --> 00:10:25,040 Speaker 3: of these ideas. 201 00:10:25,320 --> 00:10:30,280 Speaker 4: I don't want to think that China's success strikes at 202 00:10:30,360 --> 00:10:33,679 Speaker 4: the very heart of planning in economics. I think that 203 00:10:33,760 --> 00:10:36,959 Speaker 4: China has not demonstrated the success of central planning a 204 00:10:37,160 --> 00:10:41,640 Speaker 4: large I think I would defend a narrower case that 205 00:10:42,120 --> 00:10:45,200 Speaker 4: a lot of construction has been good for a lot 206 00:10:45,200 --> 00:10:48,319 Speaker 4: of people. So I think that China is what other 207 00:10:48,360 --> 00:10:51,080 Speaker 4: tests is there? Well, maybe there are other tests, which 208 00:10:51,120 --> 00:10:53,760 Speaker 4: is that whether people are happy. I think that is 209 00:10:53,840 --> 00:10:56,800 Speaker 4: a decent test, whether they feel the ability to have 210 00:10:56,920 --> 00:11:00,360 Speaker 4: creative expression, whether they feel that their lives are going 211 00:11:00,400 --> 00:11:03,000 Speaker 4: to be better because they're able to save some money. 212 00:11:03,360 --> 00:11:06,199 Speaker 4: I think not just about the physical living standards, although 213 00:11:06,200 --> 00:11:08,840 Speaker 4: I think that is really important because I've spent plenty 214 00:11:08,840 --> 00:11:11,760 Speaker 4: of time in China's rich re zones. I was living 215 00:11:11,800 --> 00:11:15,000 Speaker 4: in Hong Kong, Beijing, and Shanghai, where you can see 216 00:11:15,040 --> 00:11:17,280 Speaker 4: that these cities get better and better every year. You 217 00:11:17,320 --> 00:11:20,160 Speaker 4: have new subway stations. Shanghai this year will have a 218 00:11:20,240 --> 00:11:24,120 Speaker 4: thousand parks, up from five hundred in twenty twenty. All 219 00:11:24,160 --> 00:11:27,000 Speaker 4: of these cities are really highly functional. I've been in 220 00:11:27,080 --> 00:11:30,960 Speaker 4: China Southwest and Gwaijo Province, China's fourth poorest province, and 221 00:11:31,000 --> 00:11:34,079 Speaker 4: you have these enormous bridges that are bridges to nowhere 222 00:11:34,080 --> 00:11:36,920 Speaker 4: when they start, but then to nowhere has become maybe 223 00:11:36,960 --> 00:11:40,120 Speaker 4: two somewhere, so after it is built, and people actually 224 00:11:40,160 --> 00:11:42,400 Speaker 4: feel a lot of pride about all of these things. 225 00:11:42,600 --> 00:11:44,760 Speaker 4: And so I think that a lot of construction, a 226 00:11:44,760 --> 00:11:47,400 Speaker 4: lot of home building, a lot of electricity production through 227 00:11:47,520 --> 00:11:50,400 Speaker 4: coal as well as hydro and solar, these things are 228 00:11:50,440 --> 00:11:52,840 Speaker 4: all really good. I think you can definitely point to 229 00:11:52,880 --> 00:11:55,240 Speaker 4: a lot of costs. There's a lot of material waste 230 00:11:55,280 --> 00:11:58,320 Speaker 4: and all of this concrete that's very carbon intensive. There's 231 00:11:58,360 --> 00:12:01,360 Speaker 4: a lot of financial problems. Squadjo can't really pay a 232 00:12:01,360 --> 00:12:03,480 Speaker 4: lot of its debts right now. There's a lot of 233 00:12:03,520 --> 00:12:06,360 Speaker 4: displacement of people. Three gorgious scam display something like a 234 00:12:06,360 --> 00:12:09,960 Speaker 4: million people. I would say that physical construction is mostly 235 00:12:09,960 --> 00:12:11,720 Speaker 4: pretty good, though there are plenty of costs. 236 00:12:12,000 --> 00:12:14,800 Speaker 2: We talk more about financial problems from all of this, 237 00:12:14,840 --> 00:12:18,880 Speaker 2: because obviously the local government debt situation has been much discussed. 238 00:12:18,920 --> 00:12:21,080 Speaker 2: But you point out in the book, for instance, that 239 00:12:21,160 --> 00:12:24,439 Speaker 2: you can see evidence of some of this impact in 240 00:12:24,559 --> 00:12:28,719 Speaker 2: things like Chinese stocks. So because you have all these 241 00:12:28,720 --> 00:12:31,200 Speaker 2: companies who are basically racing to the bottom in terms 242 00:12:31,240 --> 00:12:33,720 Speaker 2: of price, it's difficult for them to produce a profit, 243 00:12:34,240 --> 00:12:37,800 Speaker 2: and so the stock price basically has traded sideways for 244 00:12:37,880 --> 00:12:40,360 Speaker 2: like a decade. I guess part of that would also 245 00:12:40,400 --> 00:12:43,400 Speaker 2: be capital controls and the impact from that. But how 246 00:12:43,400 --> 00:12:45,440 Speaker 2: does this manifest in terms of finances. 247 00:12:45,840 --> 00:12:48,160 Speaker 4: Well, let's take a look at something like the solar industry, 248 00:12:48,200 --> 00:12:51,040 Speaker 4: which I think is kind of an emblematic Chinese success. 249 00:12:51,120 --> 00:12:54,400 Speaker 4: You have China producing something like ninety percent of the 250 00:12:54,480 --> 00:12:58,160 Speaker 4: solar PV modules in the world. But China isn't only 251 00:12:58,200 --> 00:13:01,080 Speaker 4: producing the final product, it is also producing all of 252 00:13:01,120 --> 00:13:04,559 Speaker 4: the polysilicon as well as all the tools to produce solar. 253 00:13:05,080 --> 00:13:08,880 Speaker 4: And in the solar industry, you have basically zero differentiation 254 00:13:09,120 --> 00:13:11,880 Speaker 4: between most of the big solar producers. You know, something 255 00:13:11,920 --> 00:13:14,320 Speaker 4: like the third largest solar producer in China is not 256 00:13:14,480 --> 00:13:17,400 Speaker 4: that different from the fifteenth largest, and maybe not even 257 00:13:17,400 --> 00:13:20,360 Speaker 4: that different from the thirtieth largest. They're all making pretty 258 00:13:20,440 --> 00:13:25,120 Speaker 4: undifferentiated products. And what this has represented is kind of 259 00:13:25,120 --> 00:13:28,240 Speaker 4: a strategic trium for the Chinese government that they have 260 00:13:28,320 --> 00:13:30,720 Speaker 4: a lock on one of these critical industries of the 261 00:13:30,720 --> 00:13:33,640 Speaker 4: future that a lot of countries will need. It is 262 00:13:33,920 --> 00:13:37,520 Speaker 4: awesome for consumers everywhere. So if you are trying to 263 00:13:37,679 --> 00:13:41,199 Speaker 4: build a solar panel onto your roof, either in China 264 00:13:41,360 --> 00:13:43,960 Speaker 4: or in the US, you know, solar costs have plunged 265 00:13:44,080 --> 00:13:47,040 Speaker 4: something like ninety four percent since the year two thousand 266 00:13:47,160 --> 00:13:49,600 Speaker 4: or so. I think that's about the right figure. And 267 00:13:49,640 --> 00:13:52,440 Speaker 4: it's been total misery for these companies as well as 268 00:13:52,440 --> 00:13:56,040 Speaker 4: their investors. And maybe this is what socialism with Chinese 269 00:13:56,120 --> 00:13:58,960 Speaker 4: characteristics means, which is a lot of state power, a 270 00:13:58,960 --> 00:14:02,880 Speaker 4: lot of consumer power, but not very much financial investor's benefit. 271 00:14:19,360 --> 00:14:22,600 Speaker 3: So, speaking of her novelle this is not about Moby Dick, 272 00:14:23,080 --> 00:14:27,080 Speaker 3: I'm actually thinking about his novella Bartleby, in which you know, 273 00:14:27,120 --> 00:14:29,920 Speaker 3: the famous character Bartleby decides I would prefer not to. 274 00:14:30,000 --> 00:14:32,480 Speaker 3: He's working on Wall Street and then one day he 275 00:14:32,480 --> 00:14:34,640 Speaker 3: would prefer not to, and the people around him are 276 00:14:34,680 --> 00:14:37,640 Speaker 3: completely exasperated at this person. And of course we saw 277 00:14:38,080 --> 00:14:39,960 Speaker 3: a few years ago people were talking about the live 278 00:14:40,040 --> 00:14:43,480 Speaker 3: flat movement, And so when you talk about, oh, you know, 279 00:14:43,640 --> 00:14:46,040 Speaker 3: like perhaps it's come at the cost of happiness, Like 280 00:14:46,320 --> 00:14:49,520 Speaker 3: how wide spread is this? How much of this success 281 00:14:50,080 --> 00:14:52,280 Speaker 3: in China? I mean one of the other aspects of 282 00:14:52,320 --> 00:14:55,320 Speaker 3: you know, unions aren't legal in China. I presume striking 283 00:14:55,400 --> 00:14:58,200 Speaker 3: isn't legal in China, and so forth, Like how much 284 00:14:58,200 --> 00:15:03,000 Speaker 3: of this material success that everyone enjoys to some extent 285 00:15:03,440 --> 00:15:06,920 Speaker 3: in your view, has come down to sort of extracting 286 00:15:07,160 --> 00:15:10,200 Speaker 3: the worker surplus. And how big do you think is 287 00:15:10,520 --> 00:15:13,000 Speaker 3: there like a larger brewing impulse to fight against that. 288 00:15:13,640 --> 00:15:16,200 Speaker 4: Well, when I first read bartle B the Scrivener, I 289 00:15:16,600 --> 00:15:20,240 Speaker 4: saw some commentary that it's actually a lot about homo eroticism. 290 00:15:20,360 --> 00:15:22,160 Speaker 4: I thought that maybe that's where we were going to go, 291 00:15:22,200 --> 00:15:24,120 Speaker 4: but maybe we'll take a look at that later. I 292 00:15:24,160 --> 00:15:28,520 Speaker 4: think that whether people in China are happy is always 293 00:15:28,520 --> 00:15:31,640 Speaker 4: a very interesting and excessively broad question, and I always 294 00:15:31,720 --> 00:15:33,080 Speaker 4: wonder about things like. 295 00:15:33,040 --> 00:15:35,400 Speaker 3: That, if anyone's happy in the world, but keep going. 296 00:15:35,240 --> 00:15:38,040 Speaker 4: You know, Bhutan, with something like four traffic lights in 297 00:15:38,080 --> 00:15:41,000 Speaker 4: the country is supposed to be super happy. We don't 298 00:15:41,000 --> 00:15:43,880 Speaker 4: really get that. Certainly, we can observe that there are 299 00:15:43,960 --> 00:15:48,080 Speaker 4: a lot of Chinese, mostly elites, who are interested in 300 00:15:48,160 --> 00:15:53,240 Speaker 4: creative expression. Many of them have become deeply unsatisfied. So 301 00:15:53,560 --> 00:15:57,320 Speaker 4: they are moving to the Netherlands, They're moving to New York, 302 00:15:57,560 --> 00:16:00,800 Speaker 4: They're moving to Chang Mai. I've seen some of their 303 00:16:00,840 --> 00:16:03,240 Speaker 4: events here in New York. There's a feminist stand up 304 00:16:03,280 --> 00:16:06,240 Speaker 4: comedy which is, you know, having a lot of comedy 305 00:16:06,280 --> 00:16:09,720 Speaker 4: shows in Chinese. That is pretty active of a scene 306 00:16:09,760 --> 00:16:12,560 Speaker 4: here in Manhattan actually, And so there's a lot of 307 00:16:12,560 --> 00:16:16,760 Speaker 4: people journalists who have had their pieces completely censored Six 308 00:16:16,800 --> 00:16:20,320 Speaker 4: Ways to Sunday who are pretty dissatisfied. There's plenty of 309 00:16:20,320 --> 00:16:24,400 Speaker 4: people dissatisfied in Shanghai who had a horrible time throughout 310 00:16:24,400 --> 00:16:27,400 Speaker 4: the lockdown. And we had these astonishing numbers of something like, 311 00:16:27,640 --> 00:16:30,720 Speaker 4: at its peak, forty thousand Chinese flying to Ecuador where 312 00:16:30,720 --> 00:16:33,240 Speaker 4: they don't have to get a visa to walk up 313 00:16:33,240 --> 00:16:36,200 Speaker 4: to the southwestern border in the United States because they 314 00:16:36,200 --> 00:16:39,280 Speaker 4: are so upset with a seizing pain. But it's the 315 00:16:39,320 --> 00:16:42,760 Speaker 4: broader mass of Chinese unhappy, well pretty hard to say. 316 00:16:43,120 --> 00:16:45,480 Speaker 4: I think there are plenty of people who are working 317 00:16:45,480 --> 00:16:48,840 Speaker 4: for state don't enterprises and you know, not really enjoying 318 00:16:48,920 --> 00:16:51,200 Speaker 4: much of their time there. You could be working for 319 00:16:51,240 --> 00:16:53,720 Speaker 4: one of these big tech companies and working nine ninety 320 00:16:53,720 --> 00:16:56,840 Speaker 4: six hours nine am to nine pm, six days a week, 321 00:16:57,000 --> 00:16:59,800 Speaker 4: and that's not very happy. You could be living with 322 00:16:59,800 --> 00:17:00,440 Speaker 4: your parents. 323 00:17:00,480 --> 00:17:02,920 Speaker 3: Because which, by the way, is the same Silicon Valley. 324 00:17:03,240 --> 00:17:05,640 Speaker 4: Well, I thought it was the same as Bloombergley, but yeah. 325 00:17:05,440 --> 00:17:07,320 Speaker 3: It's probably nine nine to seven in Stilicon Valley. 326 00:17:07,320 --> 00:17:09,399 Speaker 2: But do you get equity in the company in return 327 00:17:09,440 --> 00:17:10,200 Speaker 2: for your hard work? 328 00:17:10,600 --> 00:17:12,199 Speaker 4: Maybe some of them do, but it's probably not to 329 00:17:12,280 --> 00:17:15,160 Speaker 4: the same extent in Silicon Valley. But at the same time, 330 00:17:15,280 --> 00:17:18,720 Speaker 4: you know, if you're a young Chinese living in Shanghai, 331 00:17:19,240 --> 00:17:21,480 Speaker 4: perhaps your cause of living is not super high because 332 00:17:21,480 --> 00:17:23,320 Speaker 4: they're living with your parents. You get to save some 333 00:17:23,400 --> 00:17:26,280 Speaker 4: money by working at a state owned enterprise. You have 334 00:17:26,400 --> 00:17:29,879 Speaker 4: excellent cafes popping up all the time. A lot of 335 00:17:30,040 --> 00:17:32,199 Speaker 4: things are pretty cheap. You can get a bowl of 336 00:17:32,200 --> 00:17:35,359 Speaker 4: noodles really cheaply. And you know, for people who are 337 00:17:35,440 --> 00:17:37,720 Speaker 4: debating whether they want to try to make a career 338 00:17:37,840 --> 00:17:40,560 Speaker 4: in London or New York and try to be really 339 00:17:40,600 --> 00:17:44,440 Speaker 4: ambitious or just have a thumping lifestyle life flat lifestyle 340 00:17:44,800 --> 00:17:47,600 Speaker 4: in Shanghai. Maybe that's kind of a wash. So I 341 00:17:47,600 --> 00:17:51,720 Speaker 4: don't see simmering discontent that threatens the top older gem, 342 00:17:52,040 --> 00:17:54,360 Speaker 4: but certainly there are plenty of people dissatisfied. 343 00:17:54,760 --> 00:18:00,000 Speaker 2: There's also arguably a sort of existential dread hanging over 344 00:18:00,280 --> 00:18:04,560 Speaker 2: certain sectors or certain entrepreneurs, which is that at any time, 345 00:18:05,000 --> 00:18:08,160 Speaker 2: the Chinese government could change its mind about what industry 346 00:18:08,200 --> 00:18:11,040 Speaker 2: it actually wants to promote and nurture. And we saw 347 00:18:11,080 --> 00:18:13,440 Speaker 2: that happen. I think when you and I were both 348 00:18:13,440 --> 00:18:16,680 Speaker 2: in Hong Kong in twenty twenty slash twenty twenty one, 349 00:18:17,480 --> 00:18:19,840 Speaker 2: and this was a big deal. So this idea that 350 00:18:19,920 --> 00:18:22,520 Speaker 2: China all of a sudden kind of turned its back 351 00:18:22,720 --> 00:18:28,439 Speaker 2: on more consumer oriented technology companies, how big of a 352 00:18:28,520 --> 00:18:31,480 Speaker 2: legacy did that have or how big of an impact 353 00:18:31,480 --> 00:18:35,000 Speaker 2: did that have on the sort of entrepreneurial spirit of China. 354 00:18:35,640 --> 00:18:39,320 Speaker 4: There's plenty of data to suggest that VC funds in 355 00:18:39,440 --> 00:18:42,560 Speaker 4: China are having a hard time actually raising funds and 356 00:18:42,600 --> 00:18:45,840 Speaker 4: also having a hard time deploying their capital. Certainly, it's 357 00:18:45,880 --> 00:18:48,399 Speaker 4: become pretty difficult for a lot of startups to exit 358 00:18:48,520 --> 00:18:51,000 Speaker 4: because they can't necessarily list in the US, and they 359 00:18:51,000 --> 00:18:54,720 Speaker 4: can't necessarily list very easily in China as well. China's 360 00:18:54,760 --> 00:18:57,480 Speaker 4: consumption over the last few years has been pretty limp 361 00:18:57,560 --> 00:19:01,040 Speaker 4: after the COVID crackdowns. A lot of companies had to 362 00:19:01,080 --> 00:19:05,399 Speaker 4: have pretty extensive layoffs, and they're just not having a 363 00:19:05,440 --> 00:19:08,800 Speaker 4: really easy time given the limp consumption, spending really large 364 00:19:08,840 --> 00:19:10,960 Speaker 4: in China. I think this goes to a kind of 365 00:19:11,000 --> 00:19:15,520 Speaker 4: a broader point within authoritarian systems, which is that no 366 00:19:15,560 --> 00:19:19,639 Speaker 4: one feels very safe in a lot of authoritarian systems. 367 00:19:19,640 --> 00:19:22,320 Speaker 4: You can be an elite in Beijing, and what is 368 00:19:22,359 --> 00:19:25,400 Speaker 4: your life going to be? Your life could be working 369 00:19:25,600 --> 00:19:29,120 Speaker 4: in the financial industry, which is a definite elite everywhere, 370 00:19:29,280 --> 00:19:32,919 Speaker 4: including in Beijing. And two years ago, Beijing announced that 371 00:19:32,960 --> 00:19:34,960 Speaker 4: it was going to have a salary cap of three 372 00:19:35,000 --> 00:19:38,600 Speaker 4: hundred thousand dollars roughly for people working in state owned banks. 373 00:19:38,880 --> 00:19:41,640 Speaker 4: And if you made over that figure the last couple 374 00:19:41,680 --> 00:19:43,440 Speaker 4: of years, you may have to give some money back 375 00:19:43,480 --> 00:19:46,080 Speaker 4: to the government. Maybe you're working for a tech company 376 00:19:46,119 --> 00:19:48,560 Speaker 4: and you think that online education is going to be 377 00:19:48,600 --> 00:19:51,720 Speaker 4: totally safe, because Chinese love education and they're always going 378 00:19:51,760 --> 00:19:53,960 Speaker 4: to be spending more money on their kids, and then 379 00:19:54,160 --> 00:19:57,600 Speaker 4: that worked until the government declared everything must be a nonprofit. 380 00:19:57,960 --> 00:20:00,280 Speaker 4: If you're working for the military, if you're working for 381 00:20:00,280 --> 00:20:03,280 Speaker 4: the government, your life could be subject to either a 382 00:20:03,280 --> 00:20:06,959 Speaker 4: corruption crackdown or some sort of the political wins changing 383 00:20:07,000 --> 00:20:09,360 Speaker 4: and your patron is no longer in place, and then 384 00:20:09,400 --> 00:20:11,919 Speaker 4: your whole network of patronage has to fall. And so 385 00:20:12,080 --> 00:20:14,320 Speaker 4: this is one of these things where there is kind 386 00:20:14,359 --> 00:20:17,920 Speaker 4: of this apocalyptic sense that hangs over you if you're 387 00:20:17,960 --> 00:20:21,200 Speaker 4: living in Beijing, Shanghai, perhaps even in Hong Kong, where 388 00:20:21,520 --> 00:20:23,359 Speaker 4: a lot of your life could fall apart and there's 389 00:20:23,440 --> 00:20:26,119 Speaker 4: no one really to protect you, no lawyers that you 390 00:20:26,119 --> 00:20:28,720 Speaker 4: can turn to, the court system to really turn to. 391 00:20:29,320 --> 00:20:31,280 Speaker 3: You know, one of these things that comes up a lot, 392 00:20:31,359 --> 00:20:33,120 Speaker 3: and I don't really find it to be that interesting 393 00:20:33,160 --> 00:20:36,560 Speaker 3: with a conversation. Look, oh, is China a communist or capitalist? 394 00:20:36,640 --> 00:20:39,520 Speaker 3: And it seems like a very tedious conversation. I mean, 395 00:20:39,560 --> 00:20:43,120 Speaker 3: it has a you know, a leninist system of government. 396 00:20:43,200 --> 00:20:46,520 Speaker 3: I think that fact says to say, is it going 397 00:20:46,560 --> 00:20:49,040 Speaker 3: in the direction of something that we could call socialist? 398 00:20:49,119 --> 00:20:51,160 Speaker 3: I think Doung Choupang said the goal was to have 399 00:20:51,440 --> 00:20:54,600 Speaker 3: a modern socialist state by year twenty forty nine, So 400 00:20:54,920 --> 00:20:58,480 Speaker 3: twenty four years from now, is it going into direction 401 00:20:58,680 --> 00:21:01,480 Speaker 3: that would be described this is so well, there. 402 00:21:01,359 --> 00:21:03,240 Speaker 4: Are a bunch of Marxists over there, and they would 403 00:21:03,280 --> 00:21:05,879 Speaker 4: always tell you that history is the most important and 404 00:21:05,960 --> 00:21:08,560 Speaker 4: we are marching towards socialism. So their answer is yes. 405 00:21:08,840 --> 00:21:11,240 Speaker 4: I have my doubts. I took a look at China 406 00:21:11,280 --> 00:21:13,200 Speaker 4: today and I think it is the most right wing 407 00:21:13,600 --> 00:21:16,320 Speaker 4: major country in the world. This is a country that 408 00:21:16,640 --> 00:21:21,119 Speaker 4: really prizes manufacturing above all else. It doesn't really have 409 00:21:21,320 --> 00:21:24,080 Speaker 4: much by way of immigration. You have a state that 410 00:21:24,320 --> 00:21:27,960 Speaker 4: enforces totally traditional gender roles, and you have a pretty 411 00:21:28,000 --> 00:21:31,919 Speaker 4: minimal welfare safety net. Where taxes in China are not 412 00:21:32,080 --> 00:21:35,880 Speaker 4: actually that high. It is pretty regressively funded on consumption taxes. 413 00:21:36,280 --> 00:21:39,600 Speaker 4: This is a country that arrests union organizers and that 414 00:21:39,760 --> 00:21:43,720 Speaker 4: has busted up certain Marxist reading groups in universities. And 415 00:21:43,760 --> 00:21:46,040 Speaker 4: I take a look at that, and I think, doesn't 416 00:21:46,040 --> 00:21:48,439 Speaker 4: this look kind of like Eisenhower's America? You know? 417 00:21:48,720 --> 00:21:50,720 Speaker 3: This is it certainly doesn't soun liberal. 418 00:21:51,160 --> 00:21:53,119 Speaker 4: It doesn't sound very liberal at all, and I'm not 419 00:21:53,160 --> 00:21:56,040 Speaker 4: even sure if it sounds very socialist. There is absolutely 420 00:21:56,080 --> 00:22:00,000 Speaker 4: a Leninist aspect in which state control of public enterprises. 421 00:22:00,240 --> 00:22:03,000 Speaker 4: You know, public ownership of production is very much real. 422 00:22:03,600 --> 00:22:08,560 Speaker 4: Many important sectors telecommunications, aviation, energy are state owned, and 423 00:22:08,600 --> 00:22:12,159 Speaker 4: you have some redistribution between the provinces. But you know, 424 00:22:12,240 --> 00:22:15,520 Speaker 4: kind of my handy snapshot is not to think of 425 00:22:15,600 --> 00:22:18,280 Speaker 4: China as socialists or autocratic. I think these are pretty 426 00:22:18,320 --> 00:22:21,439 Speaker 4: limited terms that don't really offer much anymore. My simple 427 00:22:21,480 --> 00:22:25,120 Speaker 4: formulation of China is that it is a Lendinness technocracy 428 00:22:25,200 --> 00:22:28,720 Speaker 4: with grand Opera characteristics, pretty rational most of the time, 429 00:22:28,800 --> 00:22:31,640 Speaker 4: but then every so often we'll do something pretty preposterous 430 00:22:31,680 --> 00:22:34,560 Speaker 4: and then kind of collapse in something really ridiculous. 431 00:22:35,400 --> 00:22:39,080 Speaker 2: That said, we have seen recently China make some moves 432 00:22:39,160 --> 00:22:41,720 Speaker 2: to boost social safety nets. So they've said they're going 433 00:22:41,800 --> 00:22:44,960 Speaker 2: to you know, do more for seniors, and they're also 434 00:22:45,000 --> 00:22:48,439 Speaker 2: going to try to boost consumer spending. One thing that 435 00:22:48,440 --> 00:22:50,880 Speaker 2: I thought was kind of amusing was they basically rolled 436 00:22:50,880 --> 00:22:54,920 Speaker 2: out a cash for clunkers equivalent. And again, I think 437 00:22:54,960 --> 00:22:59,840 Speaker 2: of all those things focus on consumer spending, social safety nets, 438 00:23:00,080 --> 00:23:03,920 Speaker 2: though arguably in the US those are perhaps declining cash 439 00:23:03,920 --> 00:23:05,760 Speaker 2: for clunkers, that sort of thing. I think that is 440 00:23:05,920 --> 00:23:09,080 Speaker 2: very American in many ways in terms of the political economy. 441 00:23:09,359 --> 00:23:12,720 Speaker 2: And meanwhile in the US, you know, Trump is talking 442 00:23:12,720 --> 00:23:16,000 Speaker 2: about how he wants to be more efficient in terms 443 00:23:16,000 --> 00:23:19,359 Speaker 2: of controlling the economy. Like China. We've also had some 444 00:23:19,560 --> 00:23:24,160 Speaker 2: instances of the US government taking stakes in companies recently 445 00:23:24,680 --> 00:23:29,480 Speaker 2: that seems very Chinese in certain respects. Is the US 446 00:23:29,560 --> 00:23:32,920 Speaker 2: starting to emulate China and China emulate. 447 00:23:32,560 --> 00:23:36,800 Speaker 4: The US tracy? When I first heard of the tariffs 448 00:23:36,880 --> 00:23:40,760 Speaker 4: on Liberation Day, I thought that liberation doesn't sound very 449 00:23:40,880 --> 00:23:43,240 Speaker 4: much like an American word. It sounds much more like 450 00:23:43,240 --> 00:23:45,119 Speaker 4: a Chinese word to my ears. 451 00:23:45,640 --> 00:23:47,240 Speaker 3: Now five liberations campaign. 452 00:23:47,560 --> 00:23:51,040 Speaker 4: Yes, right, we're going to liberate Taiwan into socialism. You know, 453 00:23:51,119 --> 00:23:54,200 Speaker 4: this is what they're up to. And certainly there are 454 00:23:54,320 --> 00:23:57,240 Speaker 4: a lot of aspects in which the US and Trump 455 00:23:57,240 --> 00:24:00,920 Speaker 4: in particular, is copying China. We are making Intel a state, 456 00:24:00,960 --> 00:24:05,240 Speaker 4: don't enterprise with American characteristics. There's a lot of questions 457 00:24:05,280 --> 00:24:09,320 Speaker 4: now with data probity and whether the unemployment figures are 458 00:24:09,320 --> 00:24:13,080 Speaker 4: going to be well reported, And there is kind of 459 00:24:13,160 --> 00:24:17,480 Speaker 4: just this you visiting stochastic terror on the downtrodden, especially 460 00:24:17,840 --> 00:24:22,679 Speaker 4: undocumented immigrants, and all of these things are not very 461 00:24:22,760 --> 00:24:25,400 Speaker 4: nice things that I think that Trump is learning from 462 00:24:25,440 --> 00:24:28,080 Speaker 4: c and right now, I think what we have is 463 00:24:28,600 --> 00:24:31,520 Speaker 4: authoritarianism without the good stuff, and the good stuff of 464 00:24:31,600 --> 00:24:34,600 Speaker 4: actually building quite a lot of mass transit and clean 465 00:24:34,640 --> 00:24:39,600 Speaker 4: technology generation, clean energy generation. Rather, we don't really have 466 00:24:40,240 --> 00:24:44,000 Speaker 4: the Port Authority bus terminal being built and renovated on time. 467 00:24:44,640 --> 00:24:46,960 Speaker 4: You don't have California high speed rail. We don't have 468 00:24:46,960 --> 00:24:49,800 Speaker 4: smoothly functional cities that have a lot of public order. 469 00:24:50,240 --> 00:24:52,560 Speaker 4: And I don't think that the US should try to 470 00:24:52,560 --> 00:24:54,480 Speaker 4: emulate a lot of these things. But I think there 471 00:24:54,520 --> 00:24:56,439 Speaker 4: are better things to emulate, because a lot of what 472 00:24:56,520 --> 00:25:00,440 Speaker 4: Trump is building are gilded ballrooms and detention centers. I had, 473 00:25:00,720 --> 00:25:03,359 Speaker 4: you know, we're getting quite a lot of just I 474 00:25:03,359 --> 00:25:05,840 Speaker 4: think many of the worst aspects of authoritarianism. 475 00:25:06,200 --> 00:25:08,840 Speaker 3: You know, I'm curious, I say, at the beginning, you've 476 00:25:08,840 --> 00:25:11,520 Speaker 3: had this huge rise. Everyone is obsessed with this story 477 00:25:11,600 --> 00:25:14,560 Speaker 3: right now. Everyone, it's just every every day I wake up, 478 00:25:14,960 --> 00:25:19,240 Speaker 3: it's on social media, it's coming from DC, it's et cetera. 479 00:25:19,359 --> 00:25:22,320 Speaker 3: Everyone is sort of maybe miles of gate, but the 480 00:25:22,359 --> 00:25:25,199 Speaker 3: capacity of China to build that, damn Or you know, 481 00:25:25,440 --> 00:25:29,120 Speaker 3: you open uh Instagram and it's some crazy drone show 482 00:25:29,240 --> 00:25:32,400 Speaker 3: or something like that that shows the technical prowess there. 483 00:25:32,680 --> 00:25:35,480 Speaker 3: You know, this wasn't the case the sort of popularization 484 00:25:35,520 --> 00:25:38,760 Speaker 3: of all this when you started your book, or certainly 485 00:25:38,800 --> 00:25:40,960 Speaker 3: not the first time we had you on this show. 486 00:25:41,280 --> 00:25:44,280 Speaker 3: What do you make of that, Like, how has perceptions 487 00:25:44,359 --> 00:25:47,560 Speaker 3: of China changed, or maybe even your own perception of 488 00:25:47,680 --> 00:25:51,159 Speaker 3: China changed since you started really focusing on this stuff. 489 00:25:51,200 --> 00:25:55,359 Speaker 4: Well, Joe, maybe Chinese industrialism has been my white whale 490 00:25:55,400 --> 00:25:56,520 Speaker 4: for a lot of time. 491 00:25:56,600 --> 00:25:59,600 Speaker 3: I'm sorry, I'm sorry, I'm sorry. 492 00:25:59,760 --> 00:26:03,119 Speaker 4: I moved to Hong Kong at the start of twenty 493 00:26:03,200 --> 00:26:06,320 Speaker 4: seventeen from Silicon Valley, where I used to be working, 494 00:26:06,680 --> 00:26:09,560 Speaker 4: in part because I was feeling that a lot of 495 00:26:09,600 --> 00:26:13,159 Speaker 4: the technologies that was important in Silicon Valley at the 496 00:26:13,200 --> 00:26:16,240 Speaker 4: time were not so interesting. It was a lot of cryptocurrencies, 497 00:26:16,640 --> 00:26:19,879 Speaker 4: was a lot of consumer platforms. We hadn't even gotten 498 00:26:19,960 --> 00:26:22,639 Speaker 4: to SaaS for business yet, and so it was just 499 00:26:22,800 --> 00:26:26,439 Speaker 4: not that interesting. And so when I had lunch with 500 00:26:26,600 --> 00:26:29,600 Speaker 4: Arthur Kroeber and you told me about something called Made 501 00:26:29,600 --> 00:26:32,520 Speaker 4: in China twenty twenty five, I thought that ultra high 502 00:26:32,560 --> 00:26:36,160 Speaker 4: voltage transmission, electric vehicle batteries, memory trips, these were far 503 00:26:36,160 --> 00:26:39,120 Speaker 4: more interesting. But I felt that it was actually making 504 00:26:39,160 --> 00:26:44,240 Speaker 4: a distinctively popular decision among my Silicon Valley peers because 505 00:26:44,280 --> 00:26:46,120 Speaker 4: they thought that they were the center of the universe, 506 00:26:46,160 --> 00:26:48,639 Speaker 4: which is a view they still hold. And what are 507 00:26:48,680 --> 00:26:51,080 Speaker 4: we doing if we're not being in San Francisco and 508 00:26:51,160 --> 00:26:53,879 Speaker 4: not pursuing some aspect of tech? And so when I 509 00:26:53,920 --> 00:26:57,280 Speaker 4: moved to China, it definitely didn't feel like the elitist 510 00:26:57,720 --> 00:27:00,080 Speaker 4: popular thing to do. But I was really glad to 511 00:27:00,200 --> 00:27:02,639 Speaker 4: go take a look at what China was building. And 512 00:27:02,680 --> 00:27:05,600 Speaker 4: I think that there is a broader sense in Silicon 513 00:27:05,720 --> 00:27:09,640 Speaker 4: Valley that tech is important, but non tech is also important. 514 00:27:10,280 --> 00:27:11,800 Speaker 4: Right now, I feel like a lot of folks in 515 00:27:11,920 --> 00:27:14,280 Speaker 4: Silicon Valley, where I spend a lot of time as 516 00:27:14,359 --> 00:27:16,640 Speaker 4: a fellow at Hoover, you know, a lot of folks 517 00:27:16,680 --> 00:27:19,000 Speaker 4: are trying to build God in a box, and that 518 00:27:19,080 --> 00:27:21,359 Speaker 4: attention has shifted to AI, and I feel like that 519 00:27:21,440 --> 00:27:24,359 Speaker 4: has become a totalizing aspect once more, and I feel 520 00:27:24,359 --> 00:27:26,800 Speaker 4: like part of my task is still to remind people 521 00:27:26,840 --> 00:27:30,840 Speaker 4: that drones are important and bridges are important, and we 522 00:27:30,880 --> 00:27:33,160 Speaker 4: live in a material world, and you know, let's build 523 00:27:33,240 --> 00:27:34,560 Speaker 4: up a manufacturing base as well. 524 00:27:50,160 --> 00:27:52,520 Speaker 2: So with the focus shifting to AI, you could make 525 00:27:52,520 --> 00:27:55,680 Speaker 2: an argument that the US has the lead there still, 526 00:27:55,760 --> 00:27:59,000 Speaker 2: even though we've seen moments of panic with the deep 527 00:27:59,040 --> 00:28:01,639 Speaker 2: Seek model early this year and things like that. But 528 00:28:01,760 --> 00:28:03,919 Speaker 2: on the other hand, I suppose you could argue that 529 00:28:03,960 --> 00:28:08,360 Speaker 2: AI also needs vast amounts of physical infrastructure, including data centers, 530 00:28:08,560 --> 00:28:12,240 Speaker 2: energy chips. Who has the upper hand when it comes 531 00:28:12,280 --> 00:28:12,639 Speaker 2: to AI. 532 00:28:13,119 --> 00:28:15,159 Speaker 4: I don't have a super strong view on this, but 533 00:28:15,200 --> 00:28:19,200 Speaker 4: I could outline a potential scenario in which China is 534 00:28:19,400 --> 00:28:22,760 Speaker 4: going to be leading on AI based on a few factors. 535 00:28:23,200 --> 00:28:25,639 Speaker 4: First and most important, as you point out, Tracy, that 536 00:28:26,000 --> 00:28:29,320 Speaker 4: China has a lot of electrical power. So the US 537 00:28:29,400 --> 00:28:31,760 Speaker 4: may have all of the computing because it has all 538 00:28:31,800 --> 00:28:35,400 Speaker 4: of the advanced chips from Nvidium. As Howard Letnik says, 539 00:28:35,520 --> 00:28:38,520 Speaker 4: China has a best the fourth best chips in terms 540 00:28:38,560 --> 00:28:41,720 Speaker 4: of AI, and that is a pretty substantial constraint. But 541 00:28:41,760 --> 00:28:45,040 Speaker 4: what is a bigger US constraint, maybe right now going forward, 542 00:28:45,160 --> 00:28:48,640 Speaker 4: is that there just isn't enough electrical power, especially if 543 00:28:49,120 --> 00:28:53,360 Speaker 4: Trump is taking winterbines offline and being very discriminatory about 544 00:28:53,360 --> 00:28:57,600 Speaker 4: certain types of energy. And China I think has organized 545 00:28:57,600 --> 00:29:02,280 Speaker 4: itself as a civilization to nine nothing towards heavy industry 546 00:29:02,400 --> 00:29:05,320 Speaker 4: whatever heavy industry wants it is going to get and 547 00:29:05,360 --> 00:29:08,000 Speaker 4: that could be powered by solar, could be powered by wind, 548 00:29:08,040 --> 00:29:09,920 Speaker 4: it could be powered by coal, it could be powered 549 00:29:09,920 --> 00:29:13,240 Speaker 4: by nuclear. But China will not have this issue that 550 00:29:13,480 --> 00:29:16,840 Speaker 4: META faced earlier in the end of last year, in 551 00:29:16,840 --> 00:29:19,840 Speaker 4: which a rare species of be prevented META from building 552 00:29:19,920 --> 00:29:22,640 Speaker 4: a giant new power facility, and China will definitely not 553 00:29:22,680 --> 00:29:25,160 Speaker 4: do that. So China has a lot of electrical power. 554 00:29:25,440 --> 00:29:27,760 Speaker 4: China may not have a lot of advanced chips, but 555 00:29:27,800 --> 00:29:29,520 Speaker 4: it has a lot of mature chips which are going 556 00:29:29,520 --> 00:29:32,680 Speaker 4: to be necessary for inference. So if we do invent 557 00:29:32,800 --> 00:29:34,360 Speaker 4: God in a box, you know, we're going to be 558 00:29:34,480 --> 00:29:37,080 Speaker 4: running queries all the time to figure out how to 559 00:29:37,600 --> 00:29:40,440 Speaker 4: automate and shop and whatever else. And that is going 560 00:29:40,440 --> 00:29:42,560 Speaker 4: to require a lot of processing power. And I think 561 00:29:42,600 --> 00:29:45,920 Speaker 4: this is where China's mature chips are going to have 562 00:29:46,000 --> 00:29:49,440 Speaker 4: a pretty good advantage. And China also has I think 563 00:29:49,680 --> 00:29:53,760 Speaker 4: another unique advantage, which is that training data might be 564 00:29:53,840 --> 00:29:58,400 Speaker 4: more strategically valuable. China has most of the manufacturing capacity 565 00:29:58,520 --> 00:30:01,440 Speaker 4: in the world, or about thirty percent of manufacturing value 566 00:30:01,480 --> 00:30:04,240 Speaker 4: add but that is quite a large chunk. And you 567 00:30:04,280 --> 00:30:06,280 Speaker 4: know what does the US have, Well, we have a 568 00:30:06,280 --> 00:30:09,000 Speaker 4: lot of consulting companies and a lot of healthcare companies. 569 00:30:09,360 --> 00:30:12,680 Speaker 4: So maybe the US will automate something on the scale 570 00:30:12,760 --> 00:30:16,800 Speaker 4: of McKinsey, and China will automate something on the scale 571 00:30:16,840 --> 00:30:19,280 Speaker 4: of fox Con. And you know, they're going to have 572 00:30:19,280 --> 00:30:21,440 Speaker 4: a lot more manufacturing production and we're going to have 573 00:30:21,480 --> 00:30:23,000 Speaker 4: a lot more better consultants. 574 00:30:23,120 --> 00:30:25,960 Speaker 2: Yeah, I suppose there's a synergy here where you could 575 00:30:26,080 --> 00:30:28,960 Speaker 2: use AI to make your manufacturing more efficient. 576 00:30:29,080 --> 00:30:32,280 Speaker 3: Right, No, totally, And we talked to Cameron Johnson about that, 577 00:30:32,320 --> 00:30:35,400 Speaker 3: the diffusion of AI within it, and right, like a 578 00:30:35,440 --> 00:30:39,880 Speaker 3: factory that's monitored properly is brimming with fresh training data 579 00:30:40,040 --> 00:30:42,920 Speaker 3: all the time, and that has a compounding effect and 580 00:30:42,920 --> 00:30:46,880 Speaker 3: the accelerating effect and so forth potentially widening that gap. 581 00:30:47,040 --> 00:30:48,920 Speaker 3: I want to ask actually another AI question. It's not 582 00:30:48,960 --> 00:30:52,920 Speaker 3: even about US China per se, maybe more US question. 583 00:30:53,400 --> 00:30:56,280 Speaker 3: Use the word totalizing. And I've been thinking about this 584 00:30:56,440 --> 00:30:59,000 Speaker 3: exactly in a couple of different ways. Like one is, 585 00:30:59,360 --> 00:31:02,520 Speaker 3: like I wonder about whether people have lost interest in 586 00:31:02,640 --> 00:31:06,160 Speaker 3: things like say, drug discovery in part because of this 587 00:31:06,240 --> 00:31:09,800 Speaker 3: implicit assumption, Well, once we achieve AGI in two years, 588 00:31:10,040 --> 00:31:11,800 Speaker 3: that will do all the drug discovery, So why are 589 00:31:11,840 --> 00:31:16,240 Speaker 3: we even bothering with working on that in the meantime? 590 00:31:16,600 --> 00:31:19,280 Speaker 3: And also it feels like much of culture strikes me 591 00:31:19,320 --> 00:31:22,440 Speaker 3: in the US as sort of disappearing and other things 592 00:31:22,480 --> 00:31:25,040 Speaker 3: like that. People are just sort of losing interest in 593 00:31:25,120 --> 00:31:29,440 Speaker 3: lots of things because AI is crowding out in the 594 00:31:29,480 --> 00:31:33,400 Speaker 3: psychological space everything else. And I'm curious if, in your 595 00:31:33,440 --> 00:31:35,880 Speaker 3: time in Bay Area think about these things, whether that 596 00:31:35,960 --> 00:31:36,640 Speaker 3: rings sure or not. 597 00:31:36,840 --> 00:31:41,320 Speaker 4: Definitely, I hear the craziest when I'm in California, and 598 00:31:41,400 --> 00:31:44,040 Speaker 4: I hear, you know, I think a lot of people 599 00:31:44,120 --> 00:31:49,840 Speaker 4: are very smart Stanford kids who are very smart, and 600 00:31:49,920 --> 00:31:53,080 Speaker 4: yet they could be very narrow minded and not have 601 00:31:53,200 --> 00:31:56,840 Speaker 4: a very broad view. I heard some things like people say, well, 602 00:31:56,840 --> 00:31:59,120 Speaker 4: maybe you don't need to think so much about climate change, 603 00:31:59,120 --> 00:32:01,960 Speaker 4: for example, anymore, And I say, oh, well, why don't 604 00:32:01,960 --> 00:32:04,800 Speaker 4: we have to think about climate change because AI will 605 00:32:04,920 --> 00:32:06,800 Speaker 4: figure out what we need to do with climate change 606 00:32:06,800 --> 00:32:10,320 Speaker 4: and implement everything. Maybe we don't need to be so 607 00:32:10,720 --> 00:32:13,080 Speaker 4: careful about teaching kids how to read the great books 608 00:32:13,160 --> 00:32:15,640 Speaker 4: or maybe even to read at all, because AI will 609 00:32:15,720 --> 00:32:19,920 Speaker 4: just help us get there. And they're trying to manifest 610 00:32:19,920 --> 00:32:23,280 Speaker 4: the eskaton in Silicon Valley. And there is also this 611 00:32:23,440 --> 00:32:26,520 Speaker 4: bit of an apocalyptic error in which maybe the world 612 00:32:26,560 --> 00:32:29,320 Speaker 4: will end in twenty twenty seven because AGI will be 613 00:32:29,360 --> 00:32:31,200 Speaker 4: out there and it's not going to be aligned, and 614 00:32:31,320 --> 00:32:35,080 Speaker 4: all of our world will kind of just end. I 615 00:32:35,120 --> 00:32:37,840 Speaker 4: really don't buy that view. I believe that we have 616 00:32:37,920 --> 00:32:41,200 Speaker 4: to have a longer term view about everything. There is 617 00:32:41,280 --> 00:32:44,880 Speaker 4: kind of this sense often in DC. This is not consensus, 618 00:32:44,880 --> 00:32:46,920 Speaker 4: but every so often when we'd hear that, oh, the 619 00:32:46,920 --> 00:32:49,800 Speaker 4: Communist Party is so weak, their legitimacy is so thin 620 00:32:50,280 --> 00:32:52,480 Speaker 4: and that might topple over at any moment, and we 621 00:32:52,480 --> 00:32:54,960 Speaker 4: don't really have to treat it serious like that feels 622 00:32:55,040 --> 00:32:57,200 Speaker 4: very much like cope. And there is also a Silicon 623 00:32:57,280 --> 00:33:00,520 Speaker 4: Valley variant which is not really the same about China, 624 00:33:00,640 --> 00:33:03,160 Speaker 4: but there is the sense that, well, you know, we're 625 00:33:03,160 --> 00:33:06,000 Speaker 4: all going to ascend into utopia in twenty twenty seven 626 00:33:06,080 --> 00:33:09,520 Speaker 4: when we know invent all the AI and the superintelligence. 627 00:33:09,920 --> 00:33:13,160 Speaker 2: I like how binary everything is. It's either utopia or 628 00:33:13,360 --> 00:33:17,760 Speaker 2: you know, the apocalypse. On the note of potential own goals, 629 00:33:18,360 --> 00:33:20,400 Speaker 2: one of the things we've had now is years and 630 00:33:20,440 --> 00:33:24,440 Speaker 2: years and years of US export controls on semiconductors going 631 00:33:24,480 --> 00:33:27,880 Speaker 2: into China, and I remember you were very early in 632 00:33:28,240 --> 00:33:32,760 Speaker 2: describing this as a sort of Chinese Sputnik moment, this 633 00:33:32,880 --> 00:33:36,360 Speaker 2: idea that this was the moment when China really realized 634 00:33:36,360 --> 00:33:39,280 Speaker 2: that it actually had to produce these things itself and 635 00:33:39,360 --> 00:33:42,400 Speaker 2: try to regain or get the lead over the US 636 00:33:42,480 --> 00:33:47,120 Speaker 2: when it comes to crucially strategic technology. Now that the 637 00:33:47,200 --> 00:33:51,080 Speaker 2: dust has kind of settled, although clearly things are happening 638 00:33:51,120 --> 00:33:52,960 Speaker 2: on the tariff side, but now that we've had years 639 00:33:52,960 --> 00:33:55,520 Speaker 2: and years and years of export controls, does it look 640 00:33:55,560 --> 00:33:58,120 Speaker 2: like that spurred China's technological development. 641 00:33:58,520 --> 00:34:01,880 Speaker 4: I think that it definitely spurred Kina technology development. If 642 00:34:01,920 --> 00:34:06,200 Speaker 4: we take a look at some of these sanctioned companies today, Smick, 643 00:34:06,280 --> 00:34:08,960 Speaker 4: which was on the entity list in twenty twenty, now 644 00:34:09,000 --> 00:34:12,120 Speaker 4: has double the revenues of that level. Huawei, which had 645 00:34:12,160 --> 00:34:14,719 Speaker 4: the most severe export controls, it was kind of like 646 00:34:14,760 --> 00:34:19,239 Speaker 4: a new export control invented specifically to heard Huawei has 647 00:34:19,360 --> 00:34:22,600 Speaker 4: by now recovered its revenues back to the twenty nineteen 648 00:34:22,640 --> 00:34:26,160 Speaker 4: pre sanctioned levels. And I being in China was just 649 00:34:26,200 --> 00:34:30,280 Speaker 4: this really stark reminder that US export controls really accelerated 650 00:34:30,400 --> 00:34:34,160 Speaker 4: a lot of Chinese efforts to do better. Now Beijing 651 00:34:34,200 --> 00:34:37,040 Speaker 4: has always had this ambition to be a technology power. 652 00:34:37,040 --> 00:34:39,319 Speaker 4: It's had this ambition for a very long time, but 653 00:34:39,440 --> 00:34:41,360 Speaker 4: for the most part, it didn't have a lot of 654 00:34:41,440 --> 00:34:44,880 Speaker 4: China's most dynamic companies willing to sign on. Because a 655 00:34:44,880 --> 00:34:47,839 Speaker 4: lot of China's most dynamic companies, let's say Huawei, by 656 00:34:47,920 --> 00:34:51,759 Speaker 4: Dance Dji, they were able to say to Beijing, well, 657 00:34:51,800 --> 00:34:54,760 Speaker 4: we need to make the most efficient five G equipment, 658 00:34:55,000 --> 00:34:58,400 Speaker 4: or the most efficient drones, or the most efficient short 659 00:34:58,400 --> 00:35:01,680 Speaker 4: form video, whatever it is, products that we should export 660 00:35:01,760 --> 00:35:03,960 Speaker 4: around the world, and therefore we need to be buying 661 00:35:04,000 --> 00:35:06,279 Speaker 4: the best products in the world. And that was overwhelmingly 662 00:35:06,320 --> 00:35:09,359 Speaker 4: things like Qualcom chips or Nvidia chips or whatever else. 663 00:35:09,800 --> 00:35:12,680 Speaker 4: And what the US government did was that it recapped 664 00:35:12,680 --> 00:35:15,920 Speaker 4: their ability to access US equipment at a stroke, and 665 00:35:15,920 --> 00:35:20,080 Speaker 4: that fully aligned them into Beijing's goals of technology pursuit. 666 00:35:20,480 --> 00:35:24,160 Speaker 4: And now you have Huawei being all sweetness and light 667 00:35:24,320 --> 00:35:27,279 Speaker 4: to Chinese domestic vendors to say, well, why don't we 668 00:35:27,320 --> 00:35:30,160 Speaker 4: work together. We really have a lot of common interests here. 669 00:35:30,520 --> 00:35:35,400 Speaker 4: Huawei was not super big into semiconductors in twenty nineteen 670 00:35:35,440 --> 00:35:38,120 Speaker 4: in terms of their production, but now Huawei is one 671 00:35:38,120 --> 00:35:42,000 Speaker 4: of the biggest spenders in semiconductors R and D, and 672 00:35:42,040 --> 00:35:44,319 Speaker 4: I believe I just saw a Bloomberg piece saying that 673 00:35:44,400 --> 00:35:47,440 Speaker 4: Huawei's chips are now rolling off the production line, and 674 00:35:47,480 --> 00:35:50,480 Speaker 4: that was something I think entirely created by the US government, 675 00:35:50,600 --> 00:35:54,520 Speaker 4: that all of these fiercely competitive companies really were fighting 676 00:35:54,520 --> 00:35:58,080 Speaker 4: for their lives solving seven problems a day before breakfast 677 00:35:58,360 --> 00:36:01,000 Speaker 4: because they had to solve all of these problems, and 678 00:36:01,040 --> 00:36:04,880 Speaker 4: I think that probably wasn't necessary. Over the broader strokes. 679 00:36:05,320 --> 00:36:10,680 Speaker 3: One of the things that causes alarm for DC regarding China. 680 00:36:10,719 --> 00:36:13,160 Speaker 3: I mean, look, it's great that countries are getting richer 681 00:36:13,200 --> 00:36:17,080 Speaker 3: and the technological frontier is being pushed, and innovation anywhere 682 00:36:17,280 --> 00:36:21,600 Speaker 3: theoretically can help anyone everywhere. But this question, and it's 683 00:36:21,680 --> 00:36:26,279 Speaker 3: more sort of political, perhaps geopolitical, than economic, is does 684 00:36:26,400 --> 00:36:29,640 Speaker 3: China have ambitions outside of its borders? 685 00:36:29,719 --> 00:36:29,839 Speaker 1: Right? 686 00:36:29,880 --> 00:36:33,160 Speaker 3: We know the US is we have military positions all 687 00:36:33,200 --> 00:36:35,759 Speaker 3: over the place, and we clearly have ambitions outside of 688 00:36:35,760 --> 00:36:39,759 Speaker 3: its borders. China has no formal alliances, I believe, with 689 00:36:39,880 --> 00:36:42,920 Speaker 3: any country, etc. But there's always this concern what do 690 00:36:42,960 --> 00:36:45,600 Speaker 3: you think about China's interest in the rest of the 691 00:36:45,640 --> 00:36:48,719 Speaker 3: world beyond sort of export destinations. 692 00:36:49,360 --> 00:36:53,640 Speaker 4: I think that China is very deeply interested in Taiwan 693 00:36:53,719 --> 00:36:56,080 Speaker 4: and the South China Sea, and which it defines as 694 00:36:56,160 --> 00:36:59,120 Speaker 4: within its own borders, and so that is a matter 695 00:36:59,160 --> 00:37:03,680 Speaker 4: of dispute. I think that China is very keenly interested 696 00:37:03,680 --> 00:37:06,600 Speaker 4: in dominating most of Southeast Asia, and. 697 00:37:06,800 --> 00:37:07,880 Speaker 3: What is dominating me. 698 00:37:08,239 --> 00:37:11,240 Speaker 4: I think that they would really like for the leaders 699 00:37:11,320 --> 00:37:15,680 Speaker 4: of Malaysia and Vietnam and the Philippines to come regularly 700 00:37:15,760 --> 00:37:19,320 Speaker 4: to Beijing, to Kawtel for the emperor's pleasure, and maybe 701 00:37:19,320 --> 00:37:21,680 Speaker 4: that is a pretty big threat to US interests. I 702 00:37:21,680 --> 00:37:24,440 Speaker 4: think that is something that we can debate. I would 703 00:37:24,440 --> 00:37:29,160 Speaker 4: be skeptical that China has broader goals to seize Japan. 704 00:37:29,360 --> 00:37:32,640 Speaker 4: I think that would be pretty fanciful. I think that 705 00:37:32,960 --> 00:37:37,600 Speaker 4: China's success right now is building a lot of advanced manufacturing. 706 00:37:38,080 --> 00:37:38,400 Speaker 3: You're right. 707 00:37:38,440 --> 00:37:40,120 Speaker 4: I've been tracking this for a very long time. I 708 00:37:40,160 --> 00:37:43,640 Speaker 4: remember my first appearance on odd Lass in twenty seventeen 709 00:37:43,680 --> 00:37:46,400 Speaker 4: to talk about Made in China twenty twenty five, and 710 00:37:46,440 --> 00:37:49,120 Speaker 4: I was pretty constructive that China was going to figure 711 00:37:49,120 --> 00:37:51,239 Speaker 4: out a lot of these technologies, and I think that 712 00:37:51,360 --> 00:37:53,440 Speaker 4: was fairly out of consensus at the time, and I 713 00:37:53,480 --> 00:37:57,960 Speaker 4: think that was fairly. China has made incredible strides beyond 714 00:37:58,040 --> 00:38:02,000 Speaker 4: my expectations of and I has been pretty bullish about 715 00:38:02,160 --> 00:38:04,440 Speaker 4: a lot of that. And something I worry about is 716 00:38:04,480 --> 00:38:09,320 Speaker 4: that I think that China's success in advanced manufacturing will continue. 717 00:38:09,360 --> 00:38:11,560 Speaker 4: I just wrote a piece with Arthur Kroeber and Foreign 718 00:38:11,560 --> 00:38:14,720 Speaker 4: Affairs pointing out that even though China's economy is slowing, 719 00:38:14,760 --> 00:38:16,719 Speaker 4: and even though there's all sorts of problems with the 720 00:38:16,719 --> 00:38:19,440 Speaker 4: economy and the political system, they're going to keep advancing 721 00:38:19,440 --> 00:38:23,240 Speaker 4: on manufacturing and technology because they have the manufacturing process 722 00:38:23,280 --> 00:38:26,080 Speaker 4: knowledge and they have the investments really to push them forward. 723 00:38:26,480 --> 00:38:29,880 Speaker 4: And I think that we're already seeing that China is 724 00:38:29,920 --> 00:38:33,080 Speaker 4: de industrializing Germany. Brat Setzer has great charts on this 725 00:38:33,200 --> 00:38:36,359 Speaker 4: all the time, especially in the automotive sector. I think 726 00:38:36,360 --> 00:38:38,920 Speaker 4: that China will continue to de industrialize the rest of 727 00:38:39,000 --> 00:38:41,600 Speaker 4: East Asia Europe as well, and that will move on 728 00:38:41,800 --> 00:38:44,600 Speaker 4: to the United States as well. And I don't have 729 00:38:44,680 --> 00:38:48,000 Speaker 4: too many great views about the security threat or what 730 00:38:48,120 --> 00:38:51,040 Speaker 4: is going to happen with military, but I think this 731 00:38:51,320 --> 00:38:54,239 Speaker 4: the clear and present danger is that China's technology keeps 732 00:38:54,280 --> 00:38:57,360 Speaker 4: advancing and that will further de industrialize parts of the 733 00:38:57,400 --> 00:39:00,239 Speaker 4: Midwest as well as many parts of Europe, and I 734 00:39:00,239 --> 00:39:02,120 Speaker 4: think that is going to create all sorts of political 735 00:39:02,120 --> 00:39:04,200 Speaker 4: problems in the West as well, And that is the 736 00:39:04,320 --> 00:39:06,240 Speaker 4: big danger that I'm nervous about. 737 00:39:06,719 --> 00:39:08,920 Speaker 2: What does the US need to do in order to 738 00:39:08,960 --> 00:39:13,240 Speaker 2: preserve its own manufacturing capacity, and I guess ideally build 739 00:39:13,239 --> 00:39:13,640 Speaker 2: it out. 740 00:39:13,800 --> 00:39:15,640 Speaker 4: I think there has to be a lot more investment 741 00:39:15,840 --> 00:39:19,400 Speaker 4: in manufacturing process knowledge, which is all of the TACIT 742 00:39:19,480 --> 00:39:21,600 Speaker 4: knowledge that we can't really write down that we have 743 00:39:21,719 --> 00:39:24,759 Speaker 4: to have be a lot better at producing things like 744 00:39:25,160 --> 00:39:28,960 Speaker 4: not only semiconductors, but also electric vehicle batteries and broader 745 00:39:29,000 --> 00:39:31,880 Speaker 4: sets of electronics as well. I think it would be 746 00:39:31,920 --> 00:39:35,080 Speaker 4: a good idea for the US to invite more Chinese 747 00:39:35,120 --> 00:39:39,560 Speaker 4: companies to build factories in Michigan and Ohio Wisconsin find 748 00:39:39,600 --> 00:39:42,560 Speaker 4: put some controls on them. But if China's Force technology 749 00:39:42,640 --> 00:39:45,759 Speaker 4: program worked against let's say, Apple and Tesla and all 750 00:39:45,800 --> 00:39:48,080 Speaker 4: of these other American companies, why don't we do it 751 00:39:48,120 --> 00:39:51,239 Speaker 4: to them and learn from the best. In terms of manufacturing. 752 00:39:51,600 --> 00:39:54,480 Speaker 4: I'm really skeptical that everything that the Trump administration right 753 00:39:54,520 --> 00:39:57,719 Speaker 4: now is doing has been good for manufacturing. As best 754 00:39:57,719 --> 00:40:00,160 Speaker 4: as we can tell, the US has lost forty fives 755 00:40:00,360 --> 00:40:03,439 Speaker 4: manufacturing jobs since Liberation Day, and that was the last 756 00:40:03,520 --> 00:40:06,920 Speaker 4: data reading that we have forty thousand jobs lost. I 757 00:40:06,960 --> 00:40:10,239 Speaker 4: think that it doesn't make sense to pursue technology while 758 00:40:10,320 --> 00:40:14,440 Speaker 4: decapping the NSF and the NIH, doesn't make sense tonecap 759 00:40:14,960 --> 00:40:17,879 Speaker 4: top universities. It doesn't make sense to deport a lot 760 00:40:17,920 --> 00:40:21,719 Speaker 4: of lower skilled labor that are really important for construction 761 00:40:21,960 --> 00:40:24,480 Speaker 4: as well as manufacturing. And it doesn't make sense to 762 00:40:24,480 --> 00:40:27,960 Speaker 4: try to intimidate higher skilled people researchers to be in 763 00:40:28,000 --> 00:40:30,520 Speaker 4: the US as well. Now, maybe there's something good to 764 00:40:30,560 --> 00:40:34,040 Speaker 4: be said for energy production in the US. There's probably 765 00:40:34,040 --> 00:40:36,919 Speaker 4: something good to be said for the deregulatory agenda under 766 00:40:36,960 --> 00:40:39,319 Speaker 4: Trump to build a little bit more, But right now 767 00:40:39,360 --> 00:40:44,479 Speaker 4: I'm not seeing much energy and further to build more 768 00:40:44,520 --> 00:40:48,360 Speaker 4: than let's say, detention centers, coal plants, skilled ballrooms, not 769 00:40:48,520 --> 00:40:51,680 Speaker 4: really the sort of you know, advanced manufacturing that America needs. 770 00:40:51,800 --> 00:40:56,400 Speaker 3: It's funny to think about coal powered electric vehicles in 771 00:40:56,440 --> 00:40:59,400 Speaker 3: the future, coal powered AI data centers or whatever, but 772 00:41:00,239 --> 00:41:04,000 Speaker 3: seems like a plausible thing that we'll see at one point. 773 00:41:04,480 --> 00:41:07,719 Speaker 3: One area where the US is clearly dominant, and we've 774 00:41:07,719 --> 00:41:11,120 Speaker 3: already touched on this is like global Internet services, and 775 00:41:11,400 --> 00:41:13,400 Speaker 3: obviously you have what I guess now we'd call the 776 00:41:13,480 --> 00:41:16,760 Speaker 3: legacy ones like your metas and Microsoft's and Amazon. But also, 777 00:41:17,000 --> 00:41:18,799 Speaker 3: you know, open Ai is still you know, it's the 778 00:41:18,800 --> 00:41:21,560 Speaker 3: biggest in the world, and it could be on scale 779 00:41:21,600 --> 00:41:24,279 Speaker 3: and have a footprint as big as some of these 780 00:41:24,360 --> 00:41:27,800 Speaker 3: other giants. It seems like the world is very happy 781 00:41:27,840 --> 00:41:33,239 Speaker 3: to buy bid cars and other built things. But we 782 00:41:33,320 --> 00:41:37,799 Speaker 3: saw the UK di Juae itself several years ago. Will 783 00:41:37,840 --> 00:41:41,279 Speaker 3: the rest of the world adopt Chinese core tech or 784 00:41:41,320 --> 00:41:44,080 Speaker 3: do you think there's still an anxiety about this, maybe 785 00:41:44,080 --> 00:41:47,560 Speaker 3: because of perceptions of the influence that the party would 786 00:41:47,600 --> 00:41:51,200 Speaker 3: have over these companies, et cetera. Does the US still 787 00:41:51,320 --> 00:41:55,640 Speaker 3: enjoy a relative advantage in the comfort that around the 788 00:41:55,680 --> 00:41:59,960 Speaker 3: world people have with using sort of US digital service. 789 00:42:00,640 --> 00:42:03,600 Speaker 4: Certainly, I think there's a lot of governments that are 790 00:42:03,640 --> 00:42:08,120 Speaker 4: really nervous about Chinese technologies the UK, there's all sorts 791 00:42:08,160 --> 00:42:12,280 Speaker 4: of restrictions on Huawei products kind of globally, and we've 792 00:42:12,320 --> 00:42:16,400 Speaker 4: seen even countries really friendly towards China really complain about 793 00:42:16,400 --> 00:42:18,800 Speaker 4: how much it is flooding their markets. We've seen Brazil 794 00:42:18,840 --> 00:42:21,799 Speaker 4: complain about this, We've seen Russia complain about this, and 795 00:42:21,880 --> 00:42:24,560 Speaker 4: so I think governments all over the world are trying 796 00:42:24,560 --> 00:42:27,759 Speaker 4: to have some measure to block Chinese goods. On the 797 00:42:27,760 --> 00:42:30,799 Speaker 4: other hand, I think consumers really don't care, you know what. 798 00:42:31,120 --> 00:42:33,040 Speaker 3: I mean, like for a car or you know, I 799 00:42:33,080 --> 00:42:35,640 Speaker 3: would I'd like to show me phone. No, I don't know, 800 00:42:35,800 --> 00:42:39,560 Speaker 3: maybe they look they look pretty cool, or a zte 801 00:42:39,719 --> 00:42:40,319 Speaker 3: phone or. 802 00:42:40,719 --> 00:42:43,680 Speaker 4: Powerful show that's a national security threat we are reporting you. 803 00:42:44,080 --> 00:42:46,040 Speaker 4: But I think, yeah, definitely, there's a lot of people 804 00:42:46,040 --> 00:42:49,520 Speaker 4: who camera. The cameras seem great, and the BYD cars 805 00:42:49,520 --> 00:42:51,480 Speaker 4: and the Salami cars seem to be also really good 806 00:42:51,480 --> 00:42:53,239 Speaker 4: as well. People want to buy these things, and I 807 00:42:53,239 --> 00:42:55,800 Speaker 4: think the Chinese attitude is, Okay, if you want to 808 00:42:55,920 --> 00:42:59,279 Speaker 4: terrify us, we'll challenge you in wto if that's still 809 00:42:59,280 --> 00:43:02,240 Speaker 4: a thing or will you know, try to push back diplomatically, 810 00:43:02,480 --> 00:43:04,680 Speaker 4: but we're not going to restrain our own exports. What 811 00:43:04,760 --> 00:43:06,640 Speaker 4: we need to do is, you know, if you want 812 00:43:06,640 --> 00:43:09,080 Speaker 4: to block our exports and make good it's more expensive 813 00:43:09,080 --> 00:43:11,759 Speaker 4: for your consumers, that's on you. So, you know, I 814 00:43:11,760 --> 00:43:13,680 Speaker 4: think that's kind of its attitude, and I think there's 815 00:43:13,680 --> 00:43:18,520 Speaker 4: also some nervousness now among European governments from buying American Cloud. 816 00:43:18,800 --> 00:43:20,920 Speaker 4: I don't know if that is going to necessarily lead 817 00:43:20,960 --> 00:43:23,800 Speaker 4: to your purchases, but maybe. 818 00:43:23,600 --> 00:43:25,760 Speaker 3: Tracy, do you have the show me dog feeder? 819 00:43:26,000 --> 00:43:28,200 Speaker 2: No, that I wasn't even aware of that. 820 00:43:28,360 --> 00:43:30,480 Speaker 3: Yeah, there's the thing. There's incredible showing with me. It's 821 00:43:30,520 --> 00:43:32,640 Speaker 3: not just oh's the phone company? Then when cars? You know, 822 00:43:32,640 --> 00:43:35,080 Speaker 3: there's a Shelby rice cooker. There's a shell me TOAs. 823 00:43:35,000 --> 00:43:36,080 Speaker 2: What does the dog feeder do? 824 00:43:36,239 --> 00:43:38,040 Speaker 3: I think it's like a smart dog feeder and it 825 00:43:38,120 --> 00:43:41,319 Speaker 3: knows when to release more food into the bowl using 826 00:43:41,360 --> 00:43:42,040 Speaker 3: all these centers. 827 00:43:42,280 --> 00:43:44,319 Speaker 2: No, I'm old school. I just have a bowl that 828 00:43:44,400 --> 00:43:45,040 Speaker 2: I feel. 829 00:43:44,800 --> 00:43:46,839 Speaker 3: That might be my Christmas present too, if I can 830 00:43:46,840 --> 00:43:47,439 Speaker 3: acquire one. 831 00:43:47,840 --> 00:43:51,320 Speaker 2: Thank you. You're getting an autograph copy of Herman Melville's 832 00:43:51,320 --> 00:43:54,080 Speaker 2: movie Deck if I can find one. Wait, I shouldn't 833 00:43:54,080 --> 00:43:55,600 Speaker 2: say that because people will be like, oh, don't you 834 00:43:55,640 --> 00:44:00,200 Speaker 2: know he's dead. You're getting a first edition of the 835 00:44:00,719 --> 00:44:02,640 Speaker 2: Moby Dick if I can find. 836 00:44:03,360 --> 00:44:04,960 Speaker 3: The Rockwell Kent illustration. 837 00:44:05,120 --> 00:44:08,080 Speaker 2: Okay, all right, noted, I just want to go back 838 00:44:08,080 --> 00:44:10,239 Speaker 2: to what we were talking about in the intro for 839 00:44:10,320 --> 00:44:15,600 Speaker 2: a second, which is the new Involution campaign. Again, it 840 00:44:15,719 --> 00:44:17,960 Speaker 2: seems like China is trying to get a handle on 841 00:44:18,000 --> 00:44:21,439 Speaker 2: some of these overcapacity issues. Is it going to work, 842 00:44:21,480 --> 00:44:24,919 Speaker 2: and what are your general thoughts on this fresh attempt. 843 00:44:25,120 --> 00:44:28,759 Speaker 4: I was living in China when China first announced this 844 00:44:28,880 --> 00:44:33,960 Speaker 4: big supply side reform effort back in twenty seventeen, when 845 00:44:33,960 --> 00:44:37,640 Speaker 4: I tried to reduce a lot of its expansions in steel, 846 00:44:37,840 --> 00:44:40,359 Speaker 4: and this was kind of the big effort. What's really 847 00:44:40,400 --> 00:44:43,279 Speaker 4: different right now is that China's trying to control not 848 00:44:43,520 --> 00:44:47,200 Speaker 4: really the activities of the say, own enterprise sector, is 849 00:44:47,200 --> 00:44:49,560 Speaker 4: trying to control more of the activities of the private sector, 850 00:44:49,600 --> 00:44:51,640 Speaker 4: and I think that is much more difficult as well. 851 00:44:52,040 --> 00:44:54,120 Speaker 4: And I think, you know, it's going to be too 852 00:44:54,120 --> 00:44:56,520 Speaker 4: early to say, but there may be a future in 853 00:44:56,560 --> 00:45:00,000 Speaker 4: which China actually consolidates a lot of the solar production 854 00:45:00,239 --> 00:45:03,000 Speaker 4: to bigger firms, but then all of them become much 855 00:45:03,040 --> 00:45:07,600 Speaker 4: more capable, and they become much bigger threats to foreign 856 00:45:08,000 --> 00:45:10,120 Speaker 4: solar makers to the extent that there are any. But 857 00:45:10,520 --> 00:45:14,279 Speaker 4: consolidation is probably going to help raise quality because there 858 00:45:14,320 --> 00:45:16,520 Speaker 4: are going to be fewer firms earning more profit that 859 00:45:16,560 --> 00:45:19,320 Speaker 4: are going to be able to reinvest more in expansion 860 00:45:19,360 --> 00:45:22,360 Speaker 4: in R and D. So I think that overproduction is 861 00:45:22,440 --> 00:45:25,120 Speaker 4: kind of endemic to China, which is partly why it's 862 00:45:25,160 --> 00:45:27,680 Speaker 4: the engineering state. This is what they're really good at. 863 00:45:27,800 --> 00:45:31,680 Speaker 4: They're just not thinking enough about services, and so I'm 864 00:45:31,760 --> 00:45:34,200 Speaker 4: skeptical that they're going to be able to really tamp 865 00:45:34,239 --> 00:45:35,960 Speaker 4: down overproduction a little longer run. 866 00:45:36,360 --> 00:45:39,480 Speaker 2: All right, Dan Wong, The book is breakneck. It's a 867 00:45:39,480 --> 00:45:43,080 Speaker 2: fantastic read. Joe and I make a very brief appearance, 868 00:45:43,160 --> 00:45:46,279 Speaker 2: so if anyone's interested in that as well, definitely pick 869 00:45:46,320 --> 00:45:48,440 Speaker 2: it up. But d yeah, thank you so much for 870 00:45:48,480 --> 00:45:51,319 Speaker 2: coming back on and for being on the Pod repeatedly 871 00:45:51,520 --> 00:45:53,000 Speaker 2: over almost a decade. 872 00:45:53,040 --> 00:45:55,120 Speaker 4: Now I want to be a friend of the Pod 873 00:45:55,200 --> 00:45:56,439 Speaker 4: for the next decade as well. 874 00:45:56,800 --> 00:46:10,840 Speaker 3: Thank you, Joe. 875 00:46:10,880 --> 00:46:13,840 Speaker 2: Always good to have Dan on, and I'm so glad 876 00:46:13,920 --> 00:46:17,120 Speaker 2: he's sort of like synthesized and laid out all of 877 00:46:17,120 --> 00:46:21,360 Speaker 2: his thoughts because again, like Dan has been watching Chinese 878 00:46:21,360 --> 00:46:24,680 Speaker 2: technology and analyzing the Chinese economy for years and years 879 00:46:24,719 --> 00:46:27,680 Speaker 2: of fear was before it was cool, and really in 880 00:46:27,719 --> 00:46:30,080 Speaker 2: many respects had a front row seat do some pretty 881 00:46:30,200 --> 00:46:34,680 Speaker 2: big developments like the tech crackdown, like COVID zero policies 882 00:46:34,719 --> 00:46:37,600 Speaker 2: in China. So it's really good to read his narrative 883 00:46:37,600 --> 00:46:38,279 Speaker 2: and get his thoughts. 884 00:46:38,400 --> 00:46:40,520 Speaker 3: No, Dan's the best. I love him. You know what's 885 00:46:40,560 --> 00:46:43,040 Speaker 3: interesting I was thinking about and I saw some discussion 886 00:46:43,040 --> 00:46:45,560 Speaker 3: of this online. I forget who. But one thing we 887 00:46:45,600 --> 00:46:49,120 Speaker 3: didn't talk about is, you know, there isn't the persistent 888 00:46:49,200 --> 00:46:52,239 Speaker 3: real estate slump right in China. They have not there 889 00:46:52,280 --> 00:46:54,160 Speaker 3: has not yet been a bottom. It's not the end 890 00:46:54,160 --> 00:46:57,399 Speaker 3: of the world. And actually cheaper housing. Many people would 891 00:46:57,400 --> 00:46:59,120 Speaker 3: say that would be a nice problem they have in 892 00:46:59,160 --> 00:47:02,160 Speaker 3: this perspective right now. But if you think about the 893 00:47:02,160 --> 00:47:06,760 Speaker 3: combination of consolidating the private sector, if you say, okay, 894 00:47:06,760 --> 00:47:09,840 Speaker 3: there's overproduction in the private sector, what that means is 895 00:47:09,880 --> 00:47:11,880 Speaker 3: that there's a lot of people employed who shouldn't be 896 00:47:12,160 --> 00:47:15,560 Speaker 3: or who are it's unsustainable. If you think about that shrinking, 897 00:47:15,600 --> 00:47:18,440 Speaker 3: that's going to be a contributor to a softening in 898 00:47:18,480 --> 00:47:20,640 Speaker 3: the real estate. That's fewer people of jobs, that's fewer 899 00:47:20,640 --> 00:47:23,080 Speaker 3: people who can buy homes. See, when you think about 900 00:47:23,120 --> 00:47:25,919 Speaker 3: the internal balances, there's some real attentions because it's like, yeah, 901 00:47:25,920 --> 00:47:28,960 Speaker 3: of course, let's consolidate. But then you add to the 902 00:47:29,000 --> 00:47:31,560 Speaker 3: woes of one of the biggest sectors in the economy. 903 00:47:31,600 --> 00:47:33,640 Speaker 2: And I mean, we have seen the youth unemployment rate 904 00:47:33,760 --> 00:47:35,960 Speaker 2: pick up recently, and I think that's where you start 905 00:47:36,000 --> 00:47:39,480 Speaker 2: to get into some interesting questions around the social contract 906 00:47:39,600 --> 00:47:42,319 Speaker 2: that the party has with people and this you know, 907 00:47:42,840 --> 00:47:46,040 Speaker 2: expectation that living standards are going to continue to improve 908 00:47:46,480 --> 00:47:49,359 Speaker 2: forever like that is the pressure on the party right, 909 00:47:49,480 --> 00:47:52,400 Speaker 2: and to some extent, as you point out, it's intention 910 00:47:52,719 --> 00:47:55,960 Speaker 2: with the idea of having very efficient companies that are 911 00:47:56,200 --> 00:47:58,440 Speaker 2: operating at scale and at low cost. 912 00:47:58,840 --> 00:47:59,000 Speaker 1: You know. 913 00:47:59,080 --> 00:48:00,960 Speaker 3: One of the things too, it comes up I think 914 00:48:00,960 --> 00:48:03,799 Speaker 3: in a lot of the China conversations is this sort 915 00:48:03,800 --> 00:48:06,560 Speaker 3: of uselessness of a lot of political terms that we 916 00:48:06,680 --> 00:48:09,080 Speaker 3: use here. It came up with Joseph Triggan when we 917 00:48:09,080 --> 00:48:10,960 Speaker 3: were talking about a look, what is the right, you know, 918 00:48:11,040 --> 00:48:14,200 Speaker 3: the the ultra left within the party, mean the ultra right, 919 00:48:14,200 --> 00:48:17,839 Speaker 3: et cetera. But even hearing Dan talk about well it's 920 00:48:17,880 --> 00:48:21,520 Speaker 3: a sort of right wing Leninist country, et cetera. Like 921 00:48:21,600 --> 00:48:25,480 Speaker 3: these words that we use to describe politics, I think 922 00:48:25,480 --> 00:48:29,440 Speaker 3: they maybe they detract more than they clarify when we're 923 00:48:29,440 --> 00:48:30,200 Speaker 3: talking about China. 924 00:48:30,239 --> 00:48:31,920 Speaker 2: I don't believe in political labels. 925 00:48:32,000 --> 00:48:34,360 Speaker 3: Joe, No, that's good. That's good, all right. I respect that. 926 00:48:34,480 --> 00:48:36,040 Speaker 3: Shall we leave it there, Let's leave it there. 927 00:48:36,239 --> 00:48:38,480 Speaker 2: This has been another episode of the aud Thoughts podcast. 928 00:48:38,520 --> 00:48:41,360 Speaker 2: I'm Tracy Alloway. You can follow me at Tracy Alloway. 929 00:48:41,440 --> 00:48:44,240 Speaker 3: And I'm Joe Wisenthal. You can follow me at The Stalwart. 930 00:48:44,600 --> 00:48:47,239 Speaker 3: Follow Dan Wong He's at Dan w Wong, and of 931 00:48:47,280 --> 00:48:50,640 Speaker 3: course check out his new book Breakneck. Follow our producers 932 00:48:50,680 --> 00:48:54,000 Speaker 3: Carmen Rodriguez at Carman armand Dashill Bennett at Dashbot and 933 00:48:54,120 --> 00:48:57,000 Speaker 3: kill Brooks at Kilbrooks. For more Odd Loots content, go 934 00:48:57,080 --> 00:48:59,479 Speaker 3: to Bloomberg dot com slash odd Lots with the daily 935 00:48:59,560 --> 00:49:02,040 Speaker 3: news letter and all of our episodes, and you can 936 00:49:02,120 --> 00:49:04,160 Speaker 3: chat about all of these topics twenty four to seven 937 00:49:04,239 --> 00:49:07,719 Speaker 3: in our discord Discord dot gg slash hotlines. 938 00:49:08,000 --> 00:49:10,239 Speaker 2: And if you enjoy odd Lots, if you like it 939 00:49:10,440 --> 00:49:12,400 Speaker 2: when we have Dan Wong on the show, then please 940 00:49:12,480 --> 00:49:15,320 Speaker 2: leave us a positive review on your favorite podcast platform. 941 00:49:15,880 --> 00:49:18,440 Speaker 2: And remember, if you are a Bloomberg subscriber, you can 942 00:49:18,480 --> 00:49:21,640 Speaker 2: listen to all of our episodes absolutely ad free. All 943 00:49:21,680 --> 00:49:23,719 Speaker 2: you need to do is find the Bloomberg channel on 944 00:49:23,840 --> 00:49:27,320 Speaker 2: Apple Podcasts and follow the instructions there. Thanks for listening