Illustration for: Nvidia's China Chip Share Fell To 34% As Controls Backfire

Nvidia's China Chip Share Fell To 34% As Controls Backfire

A University of Illinois professor argues US export controls accelerated China's chip buildout rather than slowing it, pointing to Nvidia's data-center share in China falling to 34%.

By the Numbers

34%
Nvidia China data-center share, H1 2026
-44%
Nvidia AI accelerator shipments, YoY
100M+
Huawei Kirin devices shipped since 2023
1.6T parameters
Meituan's domestic-chip model size
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THE RUNDOWN

1

Nvidia's share of China's data-center chip market fell to 34% in the first half of 2026, with AI accelerator shipments down 44% year over year, per IDC data cited by Reuters.

2

Huawei says it has shipped more than 100 million Kirin-powered devices since 2023, evidence China's chip ecosystem scaled even under restricted access to advanced lithography.

3

Meituan trained a 1.6 trillion-parameter model entirely on domestically made chips in June, a scale previously assumed to require US silicon.

4

The Dutch government has withheld ASML's EUV export license to China since 2019, pushing fabs like SMIC toward older DUV tools rather than stopping production outright.

The VC Read

Value Add VC analysis

The diligence question for anyone long US chip-equipment names: if China is catching up on density while still stuck on EUV, is the moat lithography, or packaging and software? Kumar's argument only holds if China closes the inference-cost gap too, and on his own telling, most inference still runs on American chips today. Watch CXMT's promised memory architecture launch by year-end β€” that's the nearer-term test of whether this is real or just volume.

Analysis

University of Illinois professor Rakesh Kumar says the US bet on export controls to slow China's chip industry has backfired, and he's not shy about saying he called it: "But it really is 'I told you so,'" he told Fortune in a new interview. Kumar warned in 2022, when Washington first unveiled the controls, that cutting China off from advanced chips would simply force it to build its own supply chain β€” and he argues the data now backs him up.

The numbers are stark. Nvidia's share of China's data-center chip market fell to 34% in the first half of 2026, and its AI accelerator shipments there dropped 44% year over year, according to IDC data cited by Reuters. Huawei said on October 13 that it has shipped more than 100 million devices powered by its Kirin processors since 2023. In June, delivery platform Meituan said it trained a 1.6 trillion-parameter AI model entirely on domestically made chips β€” a scale of model many assumed required US silicon just two years ago.

β€œHuawei said on October 13 that it has shipped more than 100 million devices powered by its Kirin processors since 2023.”

Kumar's read: "Not only have export controls failed in that sense, but they've had the opposite effect." He also argues US policy goals keep moving, saying regulators "keep shifting the goalposts" on what the controls are supposed to achieve. Huawei's publicly stated "Tau Scaling Law" roadmap targets chip density equivalent to 1.4-nanometer by 2031, and CXMT, China's leading memory maker, says it will debut a new memory architecture by year-end that it claims could leapfrog Samsung, SK Hynix and Micron if the claim holds up.

The counterweight Kumar himself raises: China still isn't winning on cost. Most AI inference, he says, continues to run on American chips, and he doesn't expect Chinese providers to beat Western inference pricing in the near term. The real constraint isn't raw chip output, it's that the Dutch government has withheld ASML's EUV lithography export license to China since 2019, pushing fabs like SMIC toward older DUV equipment rather than the newest nodes β€” a gap domestic chip volume alone doesn't close.

For US chip-equipment and foundry investors, the debate isn't whether China is making chips, it clearly is, but whether cheaper, controls-restricted silicon ever gets good enough to dent demand for Nvidia, TSMC or ASML's most advanced tools. CXMT's promised memory launch by year-end is the nearest concrete test of that question.

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Key Sources

2 sources

Reported by Fortune Β· Analysis by Value Add Pulse.

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