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May 1, 2025, 11:47 p.m.
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Nvidia Criticizes Anthropic Over AI Chip Export Policy Amid US-China Tech Tensions

Brief news summary

Nvidia and AI startup Anthropic have publicly clashed over U.S. chip export restrictions designed to control advanced AI technology amid rising geopolitical tensions. Anthropic, backed by Amazon, supports the Biden-era “AI Diffusion Rule” effective May 15, which limits exports of advanced AI chips to rival countries like China. The startup advocates for stricter controls and stronger enforcement on Tier 2 nations, seeing access to powerful computing as a critical bottleneck in AI development. Nvidia criticized Anthropic’s claims about Chinese smuggling tactics—such as hiding chips in “prosthetic baby bumps” and “live lobsters”—as exaggerated and counterproductive. Nvidia argues that relying solely on export controls is misguided, given China’s strong AI capabilities and warns these rules won’t guarantee U.S. leadership. CEO Jensen Huang praised China’s technological progress, stating China is “not behind” the U.S. overall in AI. This dispute highlights broader tensions involving AI innovation, national security, and trade policies amid the global AI race.

Nvidia slammed Anthropic on Thursday in a rare public confrontation over artificial intelligence policy amid the imminent implementation of U. S. chip export restrictions. "American companies should prioritize innovation and meet challenges head-on, rather than spinning tall tales about how large, bulky, and sensitive electronics are somehow smuggled within 'baby bumps' or 'alongside live lobsters, '" stated an Nvidia spokesperson. Anthropic, the AI startup supported by billions in funding from Amazon, advocated for stricter controls and enforcement. In a Wednesday blog post, it claimed that Chinese smugglers have concealed chips within "prosthetic baby bumps" and "packed alongside live lobsters. " The chip export restrictions, established during former President Joe Biden’s administration and dubbed the "AI Diffusion Rule, " are scheduled to take effect on May 15. These rules impose global export controls on advanced AI chips and model weights aiming to prevent rival nations, such as China, from gaining ground in the intensifying AI arms race. Meanwhile, former President Donald Trump is reportedly working on updates to these restrictions, injecting additional uncertainty into an already contentious policy area. Anthropic, which relies heavily on Nvidia’s hardware to train its AI models, is calling for even tighter restrictions that could curtail Nvidia’s overseas operations and revenue from chip sales. The startup emphasized that access to computing power is the crucial strategic bottleneck in the race to develop cutting-edge AI. It proposed lowering export thresholds for Tier 2 countries, reinforcing rules to curb smuggling, and boosting enforcement funding. “Maintaining America’s computational advantage via export controls is vital for national security and economic prosperity, ” Anthropic stated. In a sharply worded rebuttal, an Nvidia spokesperson criticized Anthropic’s use of policy to hamper competitiveness. “China, home to half the world’s AI researchers, boasts highly skilled AI experts across every layer of the AI stack.

America cannot rely on regulatory manipulation to secure victory in AI, ” the spokesperson said. Anthropic reaffirmed its recent public submission advocating strong yet balanced export controls designed to safeguard America’s leadership in infrastructure development and ensure that freedom and democratic values shape AI’s future, according to a company statement. Nvidia referenced the 2022 arrest of a woman attempting to carry chips into China, as well as a 2023 seizure of “computer display cards” concealed within a lobster shipment seized in Hong Kong. Nvidia CEO Jensen Huang, who met with Chinese trade officials in mid-April, stated Wednesday in Washington, D. C. that China is "not behind" the U. S. in AI and commended Huawei as a leading global tech company. “They’re exceptional in computing and network technology, possessing all the essential capabilities to drive AI advancement, ” Huang said. “They have made tremendous progress over the past several years. ”


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