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Chronicles

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Nvidia CEO Jensen Huang says Chinese AI rivals are filling the void left by US companies leaving China and Huawei has become “quite formidable”

Nvidia Corp. Chief Executive Officer Jensen Huang said that Chinese AI rivals are filling the void left by the departure of US companies …

Bloomberg

Context & Ripple Effects

Huang had already identified Huawei, Intel and semiconductor startups as rising competitive pressure in 2023, including Huawei’s emergence as a credible AI-chip challenger. In May 2025, he argued that export controls had helped spur Chinese rivals while Nvidia’s China share fell from 95% to 50% over four years, according to his critique of the controls’ competitive effect.

This report sharpens that arc: the issue is no longer simply restricted access for US suppliers, but domestic vendors taking over customer relationships and infrastructure demand left open by their exit.

First-order effects

  • Huawei and other Chinese AI suppliers gain a more immediate opening to sell into Chinese customers previously served by departing US companies.
  • Nvidia faces a weaker competitive position in China, where Huang now characterizes Huawei as a formidable rival rather than only a policy-constrained local alternative.

Second-order effects

  • Chinese AI buyers have greater incentive to build software, procurement and deployment plans around domestic hardware, raising switching costs for any US supplier that later regains access.
  • The shift pressures Nvidia and other US vendors to compete for AI demand outside China while Chinese suppliers can use a larger home-market base to improve their offerings.

Third-order effects

  • If domestic substitution persists, the AI-compute market could become more structurally regional: US and Chinese hardware ecosystems would increasingly develop around different supply access and customer bases.
  • That bifurcation would make export policy a force shaping competitor creation and platform choice, not merely a limit on individual chip sales.

The trend: This is one data point in the strategic fragmentation of AI infrastructure, as supply restrictions and market exits accelerate separate domestic compute ecosystems.