Pod Insights The Prof G Pod with Scott Galloway China Decode: China's Renewable Energy Dominance in the AI Race About this episode In this episode of China Decode, hosts Alice Han and James Kynge unpack how the U. S. and China are building the backbone of the AI era — massive data centers that are reshaping global energy use and government policy. They look at who’s paying for the AI boom, why electricity might decide the winner, and how China’s homegrown models are quietly catching up to Silicon Valley. Then, China’s newest aircraft carrier, and why it’s raising questions about Beijing’s military ambitions and the U. S. strategy in the Pacific. And finally — flying taxis might actually be here. Alice and James take to the skies with EHang’s new pilotless air taxi and what it says about China’s appetite for futuristic tech.
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1:15 James Kynge? It's inside these data centers that the machines that train artificial intelligence actually work. Without big data centers, you can't train your AI algorithms to get better and better. And data centers, as you mentioned, are really power hungry and they also need a lot of air conditioning and they need a lot of water. And so the race between the US and China on artificial intelligence, to a large extent, comes down to these data centers.
1:50 Alice Han? Welcome to China Decode. I'm Alice Han.
1:53 James Kynge? And I'm James Kynge.
1:54 Alice Han? In today's episode of China Decode, we are discussing the build out of AI data centers, how the US and China are taking different approaches. The Chinese Navy's debut of a new aircraft carrier and what that means for tensions in the region and the dream of flying taxis, it might be closer than you think.
2:13 James Kynge? Where are you today, Alice?
2:14 Alice Han? Well, I am in Sicily and this is actually going to amuse you, James. I just came back from climbing Mount Etna, so talk about dancing on a volcano. And hopefully you can't hear the wailing sirens on the street. It's fairly noisy here.
2:30 James Kynge? I'll keep an ear out for them as the podcast goes on.
2:32 Alice Han? Thanks, James. All right, James, let's get straight into it. In this great race that's developing over capable AI tools, both China and the US are building out massive data centers. Generative AI models lean on a massive amount of powerful GPUs, which need both a lot of electricity to perform and a great deal of water to stay cool. So, given the high cost and the vast energy implications of these data centers, let's talk a little bit about how these things are getting paid for and getting power in both the Chinese and the American contexts. So, James, I think, you know, now that we've turned the page on the trade conflict and it seems that we're back into a détente period, what struck me over the last week as being
3:16 Alice Han? quite interesting was the Jensen Huang piece in the FT, where you used to work, in which he says that China is quote unquote nanoseconds behind America in the AI race, primarily because electricity generation is so much more abundant in China and a great deal cheaper. And so he, I think, has issued a clarion call within the American context to showcase to Americans that China actually has some tools in its toolkit in this broader AI competition. And, you know, I would love to get into the minutia of it in terms of the comparison. But what struck me as interesting is the fact that the US, when you look at capex cycle, is clearly Orders of magnitude ahead, not only in terms of just raw capex that we've seen by
4:01 Alice Han? the big tech companies, the big AI frontier labs and the tech companies, but also in the fact that you have from a policy standpoint, the US Stargate project, which is $500 billion deployed over four years. I think the Chinese equivalent Stargate, which was announced by Alibaba this year, is only $53 billion over three years. But I think this is going to incite a reaction from China, probably in the next March NPC, when the five-year plan is unveiled, to really, I think, increase the amount of expenditure for data centers. And again, as I alluded to, China is a country that leads in power generation. It basically produces 10,000 terawatts per hour in terms of energy. That's more than double what the US produces.
4:46 Alice Han? But certainly, it has, as we've talked about in previous podcast episodes, a semiconductor disadvantage in the sense that it doesn't have access to the energy-efficient, cutting-edge, leading-edge semiconductors that are produced, say, for instance, by Nvidia. But James, what's your take on this AI competition that is ballooning?
5:06 James Kynge? Well, as you say, Alice, I think the key point is around these data centers, because it's in data centers, you know, which you wouldn't really look twice at. I mean, they're sort of big square buildings on the side of the road. But it's inside these data centers that the machines that train artificial intelligence models actually work. And so, without big data centers, you can't train your AI algorithms to get better and better. So that's the key aspect of why data centers are important. And data centers, as you mentioned, are really power hungry, and they also need a lot of air conditioning, and they need a
5:46 James Kynge? lot of water. And so, the race between the US and China on artificial intelligence, to a large extent, comes down to these data centers. And as you said at the beginning, I think it's really interesting that Jensen Huang, the CEO of Nvidia, said this month that he thought that China will win. The AI race. Then he slightly backpedaled and said, oh, well, China's only nanoseconds behind. But I think this allows us to really look into the constituent parts of who is likely to win the AI race, because of course, the stakes are enormous. AI is going to power all kinds of applications, it's going to power all kinds of technologies,
6:31 James Kynge? and it already is. So the question of who wins is really crucial to the technology economy. Now, as you mentioned, Alice, each country has different assets. The first thing to be said is that at the moment, the US is way ahead in terms of the number of data centers it has. The US has got well over 5,000 data centers as things stand, and China, according to statistics that I've been able to find, has only about 450. But this might not stay that way, and we also need to look at the cost structures involved. The remarkable thing about China's data centers is where they're located. They tend to be in the deserts in the far north of China.
7:15 James Kynge? Some of them are in a desert called the Taklamakan, which actually I've been to, I went through it on a bus. I wish I could say I went on a camel, but on a bus, it took four days to cross. And the name of the Taklamakan actually means if you go in, you never come out. And it is one of the most inhospitable places on earth. The temperature is often nudging 50 degrees Celsius, about 120 degrees Fahrenheit. But the reason it's there, and the reason that China's putting so many of these data centers in deserts, is because the sun beats down and the power for these data centers is generated by solar panels.
7:58 James Kynge? And the power that China is generating through these solar panels is actually the cheapest power anywhere in the world. It costs about two cents, two US cents, per kilowatt hour. Just to give you an example, that is about one-fifth of the Deepest cost of electricity generated in the UK through coal. So China's got this natural advantage in terms of building data centers in the desert. But it also has a couple of other strategies, one of which is big subsidies by the government. Subsidies in terms of the energy bills that the data centers have to pay.
8:40 James Kynge? The government is subsidizing that so that it means that a lot of these data centers in China are paying just half of what you would normally pay for the data centers. And the other big advantage that China has is called superclusters. I I won't go into this in great detail, but just suffice it to say that the US is far ahead when it comes to the power of individual computer chips. So the Blackwell chip is far more powerful than anything that China has. But China is perfecting a way of putting lots and lots of its own indigenous chips, mostly made by Huawei, into what's called a supercluster. Some of these superclusters have like three hundred and eighty chips in them.
9:25 James Kynge? But China wants to go much, much bigger than that. It wants to have a supercluster of more than eight thousand chips. And so it hopes that it can increase the compute power by using many, many more chips. So I think that's the contours of the competition that we see. What are you hearing, Alice? I mean, do you think China can make it? Or do you think the US is just in an unassailable lead?
9:48 Alice Han? So the way that I think about this is that if you recall during the Biden administration, there were a great amount of export controls on Chinese chips, or rather Chinese imports of chips coming out of America and elsewhere. Uh, and the consensus at the time was that China is screwed. China will not be able to find an option. AI will severely be impaired uh in terms of its development in China as a result of this hardware constraint. That consensus has shifted a great deal. And I sense that the consensus around AI has also shifted in the sense that people no longer think that China is down and out. China has, as you alluded to and referenced, James, its own distinct advantages and disadvantages.
10:27 Alice Han? The way that I think about the future is that whereas a lot of the internet revolution was about bytes. I think in some respects, we're returning to the world of atoms. And China has been very good at indigenizing and securitizing its energy supply chains. As I referenced, it is the world's biggest producer of electricity. And it has even more projects that it's going to bring online, like the hydroelectric dam in Tibet, which could put even more energy on the grid. I think that this is something that people are starting to realize is an important aspect, this energy aspect in the AI competition. It's not just about chips. It's not just about, you know, the trillions of capex that the US seems to be dedicating
11:10 Alice Han? over the next few years in terms of capex outlays for AI data centers. It's also about energy production and energy efficiency. So on the production front, China is leading in energy. On the efficiency front, as you allude to, James, there's interesting ways in which they can cluster. But even the tech companies themselves, when they design their L L Ms, which we could get into, they are designing more energy efficient L L Ms that in theory could lead to an eighty-two percent drop in the number of Nvidia GPUs that they would require to power the AI models. And so just to give people a sense of the numbers, what would normally take one thousand one hundred and ninety-two GPUs, apparently the researchers at Alibaba are able to do with just two hundred thirteen Nvidia H twenty GPUs.
11:55 Alice Han? That's the difference between spending two point five million on Nvidia GPUs and spending way over fourteen million dollars. And again, if you think about it from an energy perspective, the power savings could also be massive as well. So I think there's an interesting thing that's happening on the energy production front and the energy efficiency front that I think people are starting to cotton on to.
12:15 James Kynge? Yeah, I mean, I think we kind of got to bring it back to why Jensen Huang is saying that China will win. And I think a lot of the reasons are the ones you just cited, plus the fact that China has gone for an open source model in all of these large language models that it's coming out with. So as of October, nine of the ten top open source artificial intelligence models are Chinese. This is. In contrast to many of the American models such as OpenAI's ChatGPT, which is not open source. So China's going really quite a different route from the US.
12:56 James Kynge? China's going cheap power, superclusters of semiconductors, fewer data centers, but probably cheaper, cheaper to build. And then trying to make the artificial intelligence models that it brings out open source. So that a lot of companies in China can then start to build their applications based on those models and start to make money by deploying AI in the economy. I think that's China's approach. It still doesn't quite explain to me why Jensen Huang would say that he thinks China will win. Because if you look at the US, they've got better chips, far more powerful chips. And they've got many more data centers to train the AI models.
13:40 James Kynge? So I don't know. I don't know which side of this I come down on, actually, tell you the truth, Alice. I I think the US is a formidable competitor.
13:48 Alice Han? Yep, I still agree. It's too early to tell. And as we've been saying in previous podcasts, China's going to do AI with Chinese characteristics. No doubt about it. It's going to do it in a way that's quite different from the US. And as we were talking about in previous episodes, the US is chasing AGI, areas that might be more compute intensive. Whereas China is not just making energy cheap in the support of AI models, but it's also making models cheap. I mean, I was looking at some of the numbers. The DeepSeek chat model, the cost per million output tokens is only a dollar and ten. Q one plus from Alibaba, it's a dollar and twenty. And for reference, GPT five from OpenAI, it's ten dollars. Claude Sonnet from Anthropic, Claude Sonnet four point five is fifteen dollars.
14:32 Alice Han? So they are making these LLMs cheap as along with with energy. And I think with massive implications when we think about the AI competition. In many ways, they are competing for different things is is my conclusion. Okay, we'll be back with more after a quick break, so stay with us.
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17:23 Alice Han? Welcome back. Last week, China revealed that it had commissioned a massive new aircraft carrier, the Fujian, and it's the first one that it designed and built all by itself. This comes a short time after Chinese President Xi Jinping's massive military parade in September for the 80th anniversary, which drew a lot of attention on how recent advancements in homegrown Chinese hardware have raised the capabilities of China's military, inching closer to parity with the US. James, you're more of an expert in this area, so I really want to listen to what you have to say. But I was actually in Beijing during the week of the military parade. And what was interesting, not only was the patriotism around it, but
18:06 Alice Han? the fact that China really was, so to speak, bringing out the big guns. It was showing a new nuclear triad in terms of equipment, military drones, new ICBMs, intercontinental ballistic missiles, hypersonic missiles, you name it. But it was very clear to me watching this that this was a big sign to Washington and the region that China had key deterrence capabilities when it comes to its military hardware and equipment. James, you're very close to this. How big of a deal is this Fujian carry? And what does it mean for China's broader military goals?
18:41 James Kynge? I think it's a big deal because it helps us to kind of understand the military balance between the US and China. There's no question that China is catching up the US. And this is part of a bigger topic of the geopolitics between the two superpowers. And it particularly relates to potential theatres of warfare. I use the word potential, underlined and stressed, because I'm not predicting any kind of a conflagration between the US and China. But let's say around Taiwan, also the South China Sea, and there are other areas where the US and China kind of contest each other all the time. Already in a geopolitical sense.
19:24 James Kynge? So the emergence of China's third aircraft carrier, which, as you mentioned, was designed and built entirely by China, that is important. The big picture for China is that China wants to build what it calls a modernized military force by twenty thirty five, so that's ten years from now. And it wants to build what it calls a world-class military force by twenty fifty. And what people understand by the words world-class means that by that time it hopes to be able to take on the US if it needs to. As things stand purely in terms of aircraft carriers, China is a long way behind the US.
20:07 James Kynge? Uh, now that China has three aircraft carriers, the US has eleven. So China has the second largest number of aircraft carriers of any country in the world, but clearly it's still far behind. And I think it's true to say that the technology of the US carriers is far superior to those in China. For instance, the US carriers are nuclear-powered, whereas the Chinese carriers at the moment all run on diesel. And of course, nuclear power is much more self-sustaining than diesel. However, when we look at other aspects of the military balance, um, you know, China is already a formidable competitor. The Chinese Navy is now far larger than that of the US.
20:53 James Kynge? They're projected to have about fifty percent more ships than the US by twenty thirty. So already, I think we can't sort of underestimate what China can do in terms of military projection. Just coming back to this aircraft carrier itself, I mean, it's absolutely enormous. It's more than three hundred meters long. I mean, the scale of these things is just incredible. That means it can carry about sixty aircraft and it costs well over six billion US dollars to make. So, you know, it's a pretty amazing thing, I must say. What did you think when you saw pictures of this uh, of this carrier, Alice?
21:34 Alice Han? Well, firstly, I mean, they definitely were putting their best foot forward. Everything that came out on the parade was extremely, extremely impressive. But at the end of the day, You know, these images of Potemkin villages in a way, they're not battle-tested and battle-ready. And that, I think, has been the enduring concern about the PLA's capabilities. It's one thing to have cutting-edge equipment and parity with the US, but it's another thing to have the battle experience that, say, Russia is having in Ukraine. And I think that one of the big concerns for Xi Jinping, especially after the Russia-Ukraine conflict emerged, is whether or not the PLA has the ability and battle readiness to take a stance on Taiwan, to either launch an amphibious assault
22:17 Alice Han? or a salami slice it through a quarantine and blockade. And I'm not so sure, and people have different views on whether or not these military equipment are designed to deter the US from aggression in the Asia-Pacific or to help launch Xi Jinping's ambitions when it comes to what he would call a reunification of China, taking Taiwan into the fold. But when I think about this, I think a lot about both capabilities and intentions. And it's not clear to me, especially after the military purges that we saw at the Fourth Plenum, whether or not Xi Jinping feels that he is ready for primetime when it comes to using these carriers for a Taiwan showdown.
22:56 James Kynge? Yeah, I mean, you know, the whole question of Taiwan and whether or not China would make a move to try to retake Taiwan is one of those things that China experts spend a long time thinking about and talking about. And, you know, everybody has their own opinion. There really is no evidence. That's why you find such a diversity of opinion among people of our trade, Alice. But my own take on this is that China wants to build up a military that is so forbiddingly huge that the US would think twice, or think more than twice, about ever taking China on in any kind of a military theater. And my sense on Taiwan particularly
23:38 James Kynge? is that China would very much like to reabsorb Taiwan without fighting. It knows that if it was to launch a military adventure against Taiwan, there would be catastrophic consequences for the global economy, and that would Include China. So I think its aim is probably to build up its military force by showing off new hardware, such as this huge new aircraft carrier, such as the military parade in Beijing that you mentioned, and then hope that everybody is kind of cowed and overawed and Taiwan meekly returns to the motherland at some point in the future. That's my, that's my sort of summary of what I think China's aiming at.
24:21 Alice Han? Well, when you were talking, I was thinking of two things. The first is the fact that this aircraft carrier is run on diesel, not nuclear. The US is still at the state of supremacy when it comes to nuclear powered submarines and operational nuclear warheads. The figure is quite stunning. China has 600 operational nuclear warheads and you compare to the US with with well over 5,000. The US is leading. In fact, I think the second largest stockpile is held by Russia. That gives you a sense of how much China needs to do to catch up. It's projected they'll reach 1,000 warheads, China, by 2030. Its stockpile of ICBMs, the intercontinental ballistic missiles,
25:02 Alice Han? is roughly on parity with the US's. But there are certain key areas, and I've heard from military experts in the realm of submarine technology, especially where China is a great degree behind the US. But the second point I wanted to make, and to quote my boss and mentor Neil Ferguson, he has this law called Ferguson's Law, in which any country that spends more on debt servicing rather than the military is throughout history, has been on a downturn trajectory. It loses its superpower status. And the US hit that threshold a few years ago. I think that that is quite material when we think about the superpower struggle between China and the US. China is
25:45 Alice Han? increasing its military spending, massively ramping up its military arsenal at a time when the US is doing it in the opposite direction. That's, I think, quite material when we think about the future of US-China in the region.
25:58 James Kynge? Oh, that's great. I hadn't heard of Ferguson's Law before. I really like that. I guess the problem with China is, though, that China keeps its military spending deeply secret. I mean, it does come out with figures, but nobody trusts them.
26:10 Alice Han? Yeah.
26:10 James Kynge? So we don't really know whether China is spending more or less on debt servicing than on its military. So.
26:17 Alice Han? That's a very fair point.
26:18 James Kynge? But that's a great metric. I really like that. Yeah.
26:21 Alice Han? And we'll have to see in the March NPC what they say, because every year in the March NPC and the government work report, they will issue a statement about how much they want to increase military spending by. To your point, James, there's so much of this is smoke and mirrors. We don't know what is actually being spent and where it's being spent. And I think Ukraine is a great example of the fact that money isn't everything. You've got to be able to tactically deploy it well and spend it on the right things and use, for instance, drones in an operational manner. Ukrainians have been very lean but very successful. So that's something to keep in mind as well. Well, let's take a quick break. So stay with us.
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28:13 Alice Han? Welcome back. When you imagine the future, if you imagine flying around in a car-sized flying vessel, then much of the 21st century must have been very, very disappointing to you. As flying cars, I mean, I watched Back to the Future. I don't know if you have, James, but they have proved still very much elusive. That is until now, perhaps. The company Yihang, based in Guangzhou, China, says it has developed a flying air taxi. It is battery-powered and completely autonomous. It flies without a pilot inside. Yihang says it plans to deploy these unmanned EVTOLs, that stands for Electric Vertical Takeoff and Landing, it's a mouthful, between airports and some cities in China within three years. And they say that flights will be offered cheap,
28:58 Alice Han? only 200 to 300 yuan, or about the equivalent of 30 to 40 US dollars. James, when I came across this story, thanks to you, I was very much surprised. Is this for real, or is it all hype?
29:12 James Kynge? Well, it's definitely for real. I've been following these guys for a few years, actually. But I must say, Alice, when it comes to this kind of thing, I'm personally a complete wimp, you know? I have a friend, for instance, who has a helicopter. He's been badgering me for years to get into it, and I've only ever caved in once. I'm kind of terrified by these things personally. But I'm really interested in Yihang and, as you say, the EVTOL. It sort of looks a bit like a doodle bug, you know? It's got a small cabin, enough room for maybe two people, and then it's got these drone-like rotor blades that sort of spin around. And the really scary aspect of these EVTOLs
29:54 James Kynge? is that they're autonomously driven, so there is no pilot. So you're sitting there and you're completely at the mercy of the AI algorithm that takes you from A to B. And I must say, I would find that very scary indeed. I have been in autonomously driven cars. I was in one in Shenzhen last year. I was slightly nervous about that, but it was... Was totally fine. Getting into a like an oversized drone and sitting in it and trusting this thing to take you from A to B without crashing, to me is a totally different kettle of fish. But as you say, this has got a license now from the Chinese authorities and they reckon
30:38 James Kynge? that they're going to be working commercially within about three years. And given that these types of projections in China are always padded out, they normally happen quicker than is projected. I reckon, you know, we could be seeing these vehicles in use a couple of years from now, maybe in certain areas, you know, not in general use, but in certain areas. And I'm, I'm very interested to read that Morgan Stanley, the investment bank reckons that the market for these vehicles, these E V T O Ls could reach about a trillion US dollars by 2040 and even nine trillion by 2050.
31:20 James Kynge? So obviously Morgan Stanley is impressed. They reckon that this is going to become a big part of the way we get around. So maybe it will happen. The last thing I'd say is that China's clearly imbibed this. They've clearly decided that this is going to be something that the future revolves around. And they've come up with a name for this type of technology. They call it the low altitude economy. So maybe the low altitude economy is going to be a big deal.
31:50 Alice Han? Yeah, I, when I first saw the image of this, I just thought this looks like a giant version of a drone and something that I'd imagine Tom Cruise in Mission Impossible to sit into, hopefully that it doesn't get tapped into by an enemy agent. But it seems very futuristic and it points to the fact that I think people in China are so ready for tech adoption. They're, I think, a lot more daring when it comes to these new fangled technologies. My, I guess, concern would be as you go into different airspaces. What are going to be the rules of the road? And how are you going to regulate this? I think the government is happy for this to be another way in which Chinese manufacturing capacity can be exported to the rest of the world in the future. But I think technology is moving, as often is the case, much more quickly than the regulation
32:35 Alice Han? can keep up or even regulators can conceive of regulating it. So it's not clear to me how Chinese local governments or the central government will think about regulating this space when it really becomes viable. But I was reading that one of these taxi vehicles that Yihang is rolling out can fly over a hundred miles on a single charge. And it's taken a cumulative forty thousand flights in nineteen countries to date. So it seems viable for now, but it's going to be interesting to see how this unveils in China as, you know, adoption becomes more widespread. But I haven't seen anything, I don't know if you have, James, in the US context that's comparable. I don't think they have truly autonomous flying cars. Have you heard of this?
33:19 James Kynge? Yeah, this is what I was just about to say. I spent a bit of time Googling various countries in Europe and the US to see whether or not they've got a licensing process for these EVTOLs. And I couldn't find any. But the fact, as you mentioned, that Yihang has had flights in nineteen different countries to date suggests to me that they're trying to convince the authorities, no doubt in Europe and the US and elsewhere, that this is a viable technology, that these flying vehicles are not just going to drop from the sky. And so maybe they will prevail in certain areas and maybe they'll be licensed in other countries as well. I guess it's all a matter of safety, really.
34:05 James Kynge? If Yihang can prove that these are safe, then, well, why not? You know?
34:10 Alice Han? Yeah, this is definitely going to change the way that we move around. I wonder what the first use cases will be, if it's people doing this for fun or if they're actually using it to commute or if they're using it to send packages. I think it'll be really interesting to see how they quickly commercialize this. And so it's definitely watch this space. But at least I think they should change the name because it's a mouthful, EVTOL, as an acronym. So we're going to have to find a different one.
34:35 James Kynge? You're definitely right there.
34:36 Alice Han? Okay, James, it is prediction time. What's your prediction for the future as you look into your crystal ball?
34:43 James Kynge? Okay, well, I'm gonna stay with the low altitude economy. Um, I'm not talking about these flying taxis. I'm talking now about drones. Because the other thing that's happening in China in the low altitude economy is that the drone delivery market is really taking off, uh, excuse the pun. And it looks like this year, maybe there could be more than five million packages delivered by drone in China. Uh, that would be up from two point seven million packages delivered last year. The important thing about this is that, as I'm sure you're aware, Alice, the key thing
35:24 James Kynge? about delivering packages is that it's quite costly in what they call the last mile. So, you know, the last stage of the delivery process where the delivery person has to find your house and then post your package through your letterbox, or if you're not there or you don't have a letterbox, do something else. That's the costly bit of delivery. So having a drone that can literally come to your front door and just drop the package on your doorstep is gonna be a lot cheaper. And that's why we're seeing such a big uptick in the drone delivery market in China. So my prediction is five million packages delivered this year in China by drone.
36:07 Alice Han? It sounds like we're gonna have a lot of drone overcapacity. There's gonna be drones everywhere. So, James, my prediction is more left field and it's centered in France where the French fraud watchdog has suspended Shein from operating in France. Now, Shein, as many will recall, is China's fast fashion retailer platform. And apparently, it seems that on the Shein platform, there were illegal sales of these
36:33 Alice Han? Sex dolls that resembled children. These listings have been taken off of Shein, as Shein has confirmed this. But I think this is symptomatic of a larger issue that is rising between the EU and China, which centers around trade and technology. Whereas in previous episodes, we discussed a great deal of tension between Washington and Beijing. I think what we are starting to see is more storm clouds emerging between Brussels and China. My own sense in talking to people from Europe is that they were very unhappy with the way in which China had basically used the rare earth export controls, even though China has since walked that back.
37:14 Alice Han? And I think that that move engendered a great deal of mistrust from the policymakers in Europe. So my sense is that there's going to be more investigations in the next few months on Chinese goods, not just the ones that they've listed, for instance, on Chinese tyres. And there may be more, I think, sanctions on Chinese companies in Europe, in addition to what we're seeing with Nixperia, for instance, the Chinese semiconductor company based in the Netherlands. This, I think, is a tide that is ultimately symptomatic of worsening trade relations between Europe and China.
37:48 James Kynge? A very interesting call. I have a hunch that you're right about that. I think that Europe may well get a bit tougher.
37:54 Alice Han? All right, that's all for this episode. Thank you so much for listening to China Decode. This is a production of Prof G Media. Our producer is David Toledo. Our associate producer is Erica Genikas. Our video editor is Ness Smith-Savadoff. Our research associate is Dan Shalan. Our technical director is Drew Burrows. Our engineer is William Flynn and our executive producer is Catherine Dillon. Make sure to follow us wherever you get your podcasts so you don't miss an episode. Talk to you again next week.
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