1 00:00:00,320 --> 00:00:03,160 Speaker 1: Right now, though, let's go to Asia. Peter Lewis is 2 00:00:03,160 --> 00:00:06,080 Speaker 1: our correspondent in Hong Kong, heavy Chinese New Year. 3 00:00:06,120 --> 00:00:08,879 Speaker 2: Peter, thank you very much and happy you have to 4 00:00:08,880 --> 00:00:09,760 Speaker 2: sneak to you. Ryan. 5 00:00:10,360 --> 00:00:12,799 Speaker 1: So the big story, and we've been following it closely 6 00:00:12,840 --> 00:00:15,680 Speaker 1: over here, but I'm dying to know. This is Deep Seek, 7 00:00:15,720 --> 00:00:18,440 Speaker 1: the AI company. I'm dying to know how it's all 8 00:00:18,480 --> 00:00:23,079 Speaker 1: been received in China and well in Asia more generally, 9 00:00:23,120 --> 00:00:24,639 Speaker 1: but specifically in China. 10 00:00:25,360 --> 00:00:29,880 Speaker 2: Well with with great interest, partly because this company has 11 00:00:29,920 --> 00:00:32,920 Speaker 2: really come out of nowhere. Most people have never heard 12 00:00:32,960 --> 00:00:36,600 Speaker 2: of it until this week. It's based in Tuangzhou, which 13 00:00:36,640 --> 00:00:40,040 Speaker 2: is on the eastern coast of China, and it's that's 14 00:00:40,080 --> 00:00:44,199 Speaker 2: the city that's hosts the headquarters of Ali Baba, so 15 00:00:44,320 --> 00:00:46,720 Speaker 2: Guangxio is known as being a sort of a center 16 00:00:46,720 --> 00:00:51,440 Speaker 2: of entrepreneurship. But this really did take people by surprise. 17 00:00:51,520 --> 00:00:54,880 Speaker 2: But what it has prompted is in a rush just 18 00:00:54,920 --> 00:00:57,880 Speaker 2: before Chinese New Year, other companies to also get out 19 00:00:58,480 --> 00:01:01,600 Speaker 2: similar models, which they say they have also been done 20 00:01:02,240 --> 00:01:04,760 Speaker 2: very very cheaply. Deep six said its model cost just 21 00:01:04,880 --> 00:01:07,880 Speaker 2: five five and a half million dollars. Well, when you 22 00:01:07,920 --> 00:01:11,440 Speaker 2: look at open Ai, it's worth about three hundred and 23 00:01:11,440 --> 00:01:15,720 Speaker 2: fifty billion. It's sort of really the minnows sort of 24 00:01:15,720 --> 00:01:19,480 Speaker 2: fighting back. But what it sort of shows that's interesting 25 00:01:19,560 --> 00:01:23,320 Speaker 2: here is that in some ways, all these restrictions that 26 00:01:23,360 --> 00:01:26,440 Speaker 2: have been put by the US on tech companies to 27 00:01:26,600 --> 00:01:30,280 Speaker 2: try and stemmy their growth haven't really worked, and they've 28 00:01:30,319 --> 00:01:33,720 Speaker 2: sort of had unintended consequences, one of which is this 29 00:01:34,240 --> 00:01:39,160 Speaker 2: in that companies find new ways to become innovative, to 30 00:01:39,240 --> 00:01:43,080 Speaker 2: get around them, to carry on developing their products. And 31 00:01:43,160 --> 00:01:46,720 Speaker 2: Chinese people in general are very innovative when the government 32 00:01:46,760 --> 00:01:49,360 Speaker 2: doesn't interfere. I mean, look at companies like Ali, Barbara 33 00:01:49,440 --> 00:01:53,040 Speaker 2: and ten cents. They grew into global giants before the 34 00:01:53,120 --> 00:01:58,120 Speaker 2: government trampled on them. China has a very good university system, 35 00:01:59,000 --> 00:02:03,200 Speaker 2: lots of good engineers, mathematicians, scientists. It really is a 36 00:02:03,280 --> 00:02:07,919 Speaker 2: highly educated country, lots of entrepreneurs. It's a big, big country, 37 00:02:07,960 --> 00:02:10,919 Speaker 2: so lots of people who really can sort of get 38 00:02:10,919 --> 00:02:13,799 Speaker 2: involved in things like this. And it reminds me a 39 00:02:13,800 --> 00:02:17,280 Speaker 2: little bit of Japan in the nineteen eighties, when America 40 00:02:17,320 --> 00:02:19,880 Speaker 2: had the same problem with Japan that it has now, 41 00:02:19,960 --> 00:02:24,520 Speaker 2: in that Japanese companies were becoming bigger and overtaking American companies. 42 00:02:24,560 --> 00:02:27,960 Speaker 2: They put all sorts of restrictions on them selling their products, 43 00:02:28,160 --> 00:02:31,560 Speaker 2: but it didn't stop them. Firms like Toyota still became 44 00:02:32,240 --> 00:02:35,880 Speaker 2: the largest Manu motor manufacturer in the world. Where we 45 00:02:35,919 --> 00:02:39,360 Speaker 2: think the same thing happened here. Chinese companies are learning 46 00:02:39,360 --> 00:02:42,640 Speaker 2: how to get around these restrictions. They're making their own 47 00:02:43,000 --> 00:02:47,640 Speaker 2: development innovatively and you know, and building up their companies. Now, 48 00:02:47,680 --> 00:02:53,040 Speaker 2: of course there are issues about sort of intellectual property 49 00:02:53,120 --> 00:02:56,120 Speaker 2: theft and the likes, but nevertheless, some of this is 50 00:02:56,160 --> 00:02:58,960 Speaker 2: being done off their own back and off their own initiatives. 51 00:03:00,000 --> 00:03:04,239 Speaker 1: What about the Chinese National Intelligence law that apparently requires 52 00:03:04,720 --> 00:03:07,960 Speaker 1: any organization like the deep Seat for example, they have 53 00:03:08,080 --> 00:03:13,320 Speaker 1: to support and cooperate with the government should the government 54 00:03:13,440 --> 00:03:15,320 Speaker 1: request it. I mean, this is one of the things 55 00:03:15,320 --> 00:03:19,360 Speaker 1: that is in Australia, for example, they're saying the cybersecurity experits, 56 00:03:19,360 --> 00:03:22,960 Speaker 1: they're saying, don't download deep seak because there is this law. 57 00:03:23,280 --> 00:03:26,040 Speaker 1: There is this control is there, and do they use it? 58 00:03:27,000 --> 00:03:28,840 Speaker 2: Oh? Yeah, absolutely. I mean this is one of the 59 00:03:28,880 --> 00:03:33,160 Speaker 2: reasons why TikTok's claim that it would never hand over 60 00:03:34,240 --> 00:03:38,560 Speaker 2: data to the Chinese government really doesn't hold much water 61 00:03:38,680 --> 00:03:42,120 Speaker 2: because if the Chinese government, they say that they would 62 00:03:42,120 --> 00:03:44,640 Speaker 2: refuse to do so. Well, if the Chinese government ordered 63 00:03:44,640 --> 00:03:48,320 Speaker 2: TikTok or deep seak or any other company to hand 64 00:03:48,400 --> 00:03:51,840 Speaker 2: over data on its users, they would have to do so. 65 00:03:52,400 --> 00:03:55,480 Speaker 2: And they ask many people who have seen the consequences 66 00:03:55,520 --> 00:03:58,920 Speaker 2: of firms that don't oblige by these don't accept these 67 00:03:59,000 --> 00:04:02,520 Speaker 2: data security law and don't follow them. The consequences are 68 00:04:02,560 --> 00:04:05,760 Speaker 2: pretty dire. People go to jail, the companies can get 69 00:04:05,760 --> 00:04:09,680 Speaker 2: broken up. And even the biggest, biggest companies like Ali Baba, 70 00:04:09,960 --> 00:04:13,640 Speaker 2: like ten Cents, they have suffered from this as well. 71 00:04:14,160 --> 00:04:17,560 Speaker 2: So no, that law is very much inforced. It is 72 00:04:17,880 --> 00:04:22,480 Speaker 2: enforced on a daily basis. And it's simply a beggars 73 00:04:22,480 --> 00:04:26,000 Speaker 2: belief that a company could say we somehow wouldn't follow 74 00:04:26,240 --> 00:04:29,360 Speaker 2: the instructions of the Chinese government. The Chinese Communist Party 75 00:04:29,360 --> 00:04:32,120 Speaker 2: as it is at the moment, intrudes in every single 76 00:04:32,200 --> 00:04:34,159 Speaker 2: area of business and of life. 77 00:04:34,480 --> 00:04:37,080 Speaker 1: Yeah. Absolutely, and to be fear to deepstick, they do 78 00:04:37,160 --> 00:04:39,640 Speaker 1: put it in their t's and c's. So I guess 79 00:04:39,680 --> 00:04:42,640 Speaker 1: you can't say you didn't know. Yes, you've got some 80 00:04:42,760 --> 00:04:45,520 Speaker 1: data for well, you've got the more broadly some economic 81 00:04:45,560 --> 00:04:48,640 Speaker 1: data for US out of China this week, Yes. 82 00:04:48,480 --> 00:04:53,000 Speaker 2: We had some pmis coming out. Once again, the economic 83 00:04:53,080 --> 00:04:57,000 Speaker 2: data in general is not really matching up the growth 84 00:04:57,040 --> 00:05:01,840 Speaker 2: target the GDP days. So last year up is GDP 85 00:05:01,960 --> 00:05:05,360 Speaker 2: grew five percent. That net Beijing's growth target. A lot 86 00:05:05,400 --> 00:05:08,560 Speaker 2: of people are very skeptical about that because the anecdotal 87 00:05:09,160 --> 00:05:14,440 Speaker 2: evidence on the ground doesn't suggest at all that China 88 00:05:14,520 --> 00:05:17,359 Speaker 2: is really meeting that businesses are struggling, they're having to 89 00:05:17,440 --> 00:05:20,799 Speaker 2: lay off people, there's been a big slump in consumption. 90 00:05:21,480 --> 00:05:23,919 Speaker 2: Retail sales are not really growing, and we saw that 91 00:05:24,000 --> 00:05:27,800 Speaker 2: in the PMI data that came out earlier in the 92 00:05:27,839 --> 00:05:32,480 Speaker 2: week where the manufacturing PMI showed its first contraction since September. Well, 93 00:05:32,520 --> 00:05:35,680 Speaker 2: that's not in support of an economy that's growing at 94 00:05:35,680 --> 00:05:40,080 Speaker 2: five percent. So, you know, the anecdotal evidence shows that 95 00:05:40,160 --> 00:05:43,720 Speaker 2: China really has some problems, and in particular, it's got 96 00:05:43,800 --> 00:05:47,200 Speaker 2: to get people out spending. And one of the reasons 97 00:05:47,200 --> 00:05:49,120 Speaker 2: why they don't go out and spend is because the 98 00:05:49,240 --> 00:05:52,640 Speaker 2: lack of a social security net in China. If you 99 00:05:52,680 --> 00:05:56,200 Speaker 2: lose your job, there's no support. You may find that 100 00:05:56,240 --> 00:05:58,920 Speaker 2: even if you have health insurance, as people did during 101 00:05:58,960 --> 00:06:03,080 Speaker 2: COVID doesn't cover you. So people are now saving more 102 00:06:03,800 --> 00:06:07,400 Speaker 2: for the future, saving for their healthcare, saving for their kids' 103 00:06:07,560 --> 00:06:12,160 Speaker 2: education because the state isn't providing anywhere near enough support, 104 00:06:12,440 --> 00:06:13,960 Speaker 2: and that of course effects consumption. 105 00:06:15,160 --> 00:06:17,800 Speaker 1: Fascinating stuff. I can remember. I still live in Beijing, Peter, 106 00:06:18,000 --> 00:06:21,080 Speaker 1: and there were these economic investigators. I'd never heard of 107 00:06:21,120 --> 00:06:24,400 Speaker 1: them before, but they were like private investigators that would 108 00:06:24,400 --> 00:06:27,240 Speaker 1: go around because the obviously the party would say this 109 00:06:27,360 --> 00:06:30,040 Speaker 1: is the growth rate, and you would have big multinational 110 00:06:30,040 --> 00:06:33,760 Speaker 1: corporations who go, well, do we believe this? And they 111 00:06:33,800 --> 00:06:36,320 Speaker 1: would go around and they'd look at you know, steel plants, 112 00:06:36,360 --> 00:06:38,720 Speaker 1: they look at factories, they'd look at how much activity 113 00:06:38,839 --> 00:06:40,840 Speaker 1: was going on, how many trucks are coming in, how 114 00:06:40,839 --> 00:06:43,760 Speaker 1: many trucks are going how many cranes are in the sky, 115 00:06:43,920 --> 00:06:46,200 Speaker 1: how much building activity is going on, and try and 116 00:06:46,240 --> 00:06:49,000 Speaker 1: come up with a with an estimate for growth. So 117 00:06:49,240 --> 00:06:51,200 Speaker 1: I'm fascinating the country, isn't it. 118 00:06:52,080 --> 00:06:54,599 Speaker 2: Yeah? And I mean you know that's that's how a 119 00:06:54,640 --> 00:06:58,160 Speaker 2: command economy works. And the difference between a command's economy 120 00:06:58,200 --> 00:07:02,400 Speaker 2: like China and like Australia or the US. A growth 121 00:07:02,480 --> 00:07:05,960 Speaker 2: GDP is an output you put in all the parameters 122 00:07:07,240 --> 00:07:10,440 Speaker 2: and outcomes. The GDP in China, it's an input. They say, 123 00:07:10,560 --> 00:07:13,360 Speaker 2: we want GDP of five percent, how are we going 124 00:07:13,360 --> 00:07:14,800 Speaker 2: to go and get it? And it's down to the 125 00:07:14,840 --> 00:07:17,040 Speaker 2: local governments to make sure they achieve it. And that's 126 00:07:17,040 --> 00:07:19,560 Speaker 2: where these inspectors come in to make sure they are 127 00:07:19,600 --> 00:07:20,160 Speaker 2: achieving it. 128 00:07:20,280 --> 00:07:22,760 Speaker 1: Yeah, fascinating. Hey, thanks so much, Peter. Great to Heavy 129 00:07:22,800 --> 00:07:26,480 Speaker 1: on People, E's Asia Business correspondent. For more from Hither 130 00:07:26,600 --> 00:07:29,600 Speaker 1: Duplessy Alan Drive, listen live to news talks it'd be 131 00:07:29,720 --> 00:07:33,600 Speaker 1: from four pm weekdays, or follow the podcast on iHeartRadio.