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What Dwarkesh Patel said
Written from the verified transcript and checked against it. Every figure links to the moment it was said.
Dwarkesh Patel questioned Dylan Patel about China's AI compute trajectory, noting that if the US-based RSI (recursive self-improvement) efforts take off before China accumulates substantial compute, the world could look very different. Patel acknowledged that export controls appear to have been effective, saying 'that would have worked' and calling it 'a notable success,' while noting his prior uncertainty on the issue. He contrasted China's limited compute with the scale of US labs, suggesting the leading lab in 2028 might have more compute than all of China in 2029 or 2030. Patel explored whether China could rapidly scale compute, asking about 50 gigawatts by 2029, and discussed the quality-adjusted value of Chinese chips. He also remarked on the difference in financial systems supporting AI, with American markets more willing to fund startups.
Key takeaways
Patel said export controls appear to have worked, calling the outcome 'a notable success' compared to his prior steelman of cooperation with China.
Patel projected that by 2028 the leading US lab may have more compute than all of China in 2029 or 2030, when weighted by quality.
Patel asked whether China could add 50 gigawatts of incremental compute in 2029, and the guest said 'completely reasonable.'
Patel noted Chinese labs have at most 100-200 MW of compute, while Anthropic approaches 5 GW by end of 2026.
If you think there's 200 gigawatts globally in 2028, how much is in China by that point? And how does Chinese compute continue increasing through this whole trend? Because if the RSI stuff kicks off in the West before China has a large amount of compute, maybe we're living in a different world than when it doesn't.
Yeah, so China today, if we sort of level set back to 2022, the US was adding about 45 to 50% of the world's compute. China was adding about 30 to 35% of the world's compute, and the rest being taken up by the rest of the world. Since 2022, we've had big regulations against China and a dramatic increase in America. So today, 70% of watts are being deployed in America. And China is really a very small number. It's sub-10% of watts being deployed for data center AI compute is in China. And as we step forward, they're still at a very small number. Their domestic production is quite small. Their purchasing from Nvidia is still quite small. And a lot of that ends up in other places as well, right? You know, Malaysia or what have you. So ultimately, China domestically still continues to have 10% sub-10% of incremental new compute. So in 2028, might start to inflect up, I think. But it's pretty easy to say China will have like 30 gigawatts of AI compute or less.
I do think in 2028, they have a big uplift in what compute they're able to deploy. 2026, they're still mostly relying on a lot of the smuggled chips, you know, a lot of the chips that TSMC made for companies that they thought weren't Huawei, but ended up being Huawei, or a lot of HBM that Samsung is shipping. But in 27, fabs start to go up, in 28 especially. Fabs start to go up from SMIC and CXMT and such where domestic production is actually reaching many millions of units a year. And now they're incrementally adding, you know, 5-10 gigawatts in just 2028 of domestically produced chips. Those chips are definitely worse than the chips that Nvidia will have in '28 or Google will have in '28 or OpenAI will have in 2028.
So even the gigawatt number overstates things you're saying. Like it's like 30 gigawatts but it's really much worse chips. But then how does it... If you think the world is going to add 100 gigawatts the following year? Or something, you know, I know you said you can't really say that far out. How much is China able to add the subsequent year? Basically, I want to know did they just hockey stick at the point at which they are able to start shipping large amounts of compute or is it still going to be less than US plus allies?
There's a lot left to, you know, whether or not the US passes the MATCH Act, whether or not ex-tools continue to get export controlled, how fast China can build their new equipment that they're starting to be able to produce domestically. But ultimately, China is definitely going to hockey stick if there's anything... China's really good at is scaling manufacturing really, really quickly. And I imagine China will start to be able to extract more and more purchasing of even foreign chips into domestic China or at least close the gap in what the US is allowing Nvidia to sell them or what have you.
I think that's completely reasonable. And part of that could also be purchased from foreign. But yeah, I think it's completely reasonable that China in 2029 can do 50 gigs. But if most of those are the domestic chips, there is some factor there where that 50 gigawatts is really worth as much as 20 gigawatts in America or from American chips.
11 more exchanges in this transcript
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Patel, D. (2026, August 27). Why Isn’t China Further Behind in AI? - Dylan Patel [Interview transcript]. Dwarkesh Clips. CEOInterviews.AI. https://ceointerviews.ai/interview/2927061/
MLA
Dwarkesh Patel. "Why Isn’t China Further Behind in AI? - Dylan Patel." Dwarkesh Clips, 27 Aug. 2026. Transcript, CEOInterviews.AI, https://ceointerviews.ai/interview/2927061/.
BibTeX
@misc{patel2026_2927061,
author = {Dwarkesh Patel},
title = {Why Isn’t China Further Behind in AI? - Dylan Patel},
howpublished = {Interview transcript, Dwarkesh Clips. CEOInterviews.AI},
year = {2026},
month = {aug},
url = {https://ceointerviews.ai/interview/2927061/},
note = {Speaker-attributed transcript with timestamps}
}
