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Experts: US 25% Nvidia Chip Tax “Makes No Sense”

▼ Summary

– Experts warn that allowing Nvidia to export its H200 AI chip to China could inadvertently help China win the AI race by boosting its advanced computing capability.
– The H200 chip is significantly more powerful than China’s current best domestic option but less powerful than Nvidia’s most advanced, restricted chip.
– Former national security advisor Jake Sullivan criticized the decision, arguing it solves China’s key problem of lacking advanced computing and hands away a U.S. advantage.
– Nvidia’s leadership convinced Trump that selling the chips would keep China dependent on U.S. technology and generate billions for Nvidia’s own research and development.
– The alternative strategy of restricting sales was seen as potentially strengthening Chinese chipmakers like Huawei by giving them the entire domestic market and its revenue.

Recent policy shifts allowing advanced AI chip exports to China have sparked intense debate among national security experts and lawmakers. The decision to permit Nvidia to sell its H200 artificial intelligence processor to Chinese firms is viewed by many as a strategic misstep that could accelerate China’s technological advancement. While the H200 is significantly less capable than Nvidia’s top-tier, restricted Blackwell chip, it represents a major leap over the most sophisticated AI hardware currently available within China. This move effectively bridges a critical gap for Chinese AI development, providing a level of computing power that domestic producers like Huawei have yet to achieve independently.

Jake Sullivan, a former national security advisor instrumental in crafting the original export controls, has been particularly vocal in his criticism. He described the policy reversal as counterproductive, arguing that China’s primary obstacle in the artificial intelligence arena has been a shortage of advanced computing capacity. “It makes no sense that President Trump is solving their problem for them by selling them powerful American chips,” Sullivan stated. He believes the US is voluntarily surrendering a key competitive edge, a gift that Chinese leadership would not have anticipated.

The rationale behind the policy change, as presented to the administration, centered on economic and strategic containment. Nvidia’s leadership, including CEO Jensen Huang, reportedly argued that blocking sales would simply cede the entire Chinese market to local chipmakers like Huawei. This would funnel substantial revenue to these firms, which they could then reinvest into research and development to close the technology gap faster. Conversely, by allowing Nvidia to sell the H200, China’s AI industry remains dependent on American semiconductors. The substantial revenue from these sales, estimated to be billions annually, would then flow back to Nvidia, funding its own R&D and theoretically helping the United States maintain its technological lead.

This perspective, however, is heavily contested. Critics warn that providing China with such capable hardware, even if it is not the absolute cutting edge, offers a direct shortcut. It allows Chinese companies and researchers to build and train more sophisticated AI models immediately, rather than spending years developing the underlying chip technology themselves. The concern is that this accelerates their entire ecosystem, reducing a multi-year lag to a much shorter timeframe. The long-term risk is that it empowers Chinese firms to eventually compete on a more level playing field, or even surpass US capabilities in specific AI applications, by using American technology as a foundational stepping stone.

The debate underscores a fundamental tension in tech policy between immediate economic gain and long-term national security. On one side, there is the argument for capitalizing on a lucrative market to fuel further American innovation. On the other, there is the fear of inadvertently arming a strategic competitor with the very tools needed to challenge US dominance. The outcome of this policy will likely be measured in the coming years by the pace of China’s AI progress and its ability to reduce reliance on foreign semiconductor technology.

(Source: Ars Technica)

Topics

ai chip exports 95% us-china relations 90% nvidia technology 88% ai race 87% export controls 85% huawei competition 80% National Security 78% trump administration 75% jensen huang 70% r&d investment 68%