US threatens sanctions on Chinese AI models over IP theft

On Tuesday, Treasury Secretary Scott Bessent announced on Fox Business that the U.S. would examine open-source AI models from China for signs of intellectual property theft and threatened sanctions against Chinese AI companies if theft is established. "This administration supports open source models, but what we do not support is IP theft," Bessent said. "If we see, especially, that overseas models are stealing from our great companies, we have the ability to sanction them because of this theft."

The statement comes amid growing concern that Chinese AI models are gaining in capabilities and popularity, directly threatening the business models of top American AI firms like OpenAI and Anthropic. The article cites Moonshot AI's Kimi K3 as a recent example. On Monday, Axios reported that the Trump administration is considering a wholesale ban on Chinese open-source models, though others have disputed that claim. More broadly, the threat of sanctions represents an escalation beyond existing government strategies. After restricting China's access to advanced chips and tightening export controls, Washington is now signaling it may target the AI models themselves—a move that marks a significant escalation in technological competition.

The core technical issue underlying the sanctions threat is model distillation, a technique that allows some of a larger model's capabilities to be translated into a smaller system that is easier to run. However, industry figures have challenged the premise that distillation constitutes theft. Microsoft CEO Satya Nadella criticized what he called the "status quo," saying: "While the great innovation that comes from model providers having fair use rights to train models on public data is needed, I find it ironic that the status quo is to then turn around and impose restrictive terms on distillation." Similarly, Hugging Face CEO Clem Delangue stated on TechCrunch's Equity podcast that "distillation is a very small factor in the ability to create good models, and it's a practice that everyone is doing, including companies in the U.S." He attributed Chinese progress instead to strong research teams taking a more open and collaborative approach.

The threat of sanctions comes as U.S. AI labs face mounting legal risk over their own training practices. Anthropic this week received approval to begin paying authors as part of a $1.5 billion（約2400億円） settlement after a judge ruled the company had illegally downloaded and stored millions of copyrighted books to train its AI. The company has also been warning for months about campaigns by foreign actors to copy AI technology and redeploy it as open source; in April, the White House said it would work closely with AI firms to combat such theft. However, the contrast between U.S. government enforcement actions against Chinese distillation and ongoing legal disputes over American AI training practices underscores the complexity of defining and policing intellectual property in the AI space.

The U.S. government's threat of sanctions against Chinese AI models marks a significant shift in how Washington is addressing competitive pressure in artificial intelligence. Rather than focusing solely on hardware supply chains—a strategy pursued through chip export restrictions—the administration is now signaling it will target the AI models and software layer itself. This reflects deep concern that Chinese open-source alternatives are eroding the market position of American frontier labs like OpenAI and Anthropic, which depend on sustained capital investment to develop cutting-edge systems.

At the core of the policy dispute is model distillation, a technique that allows smaller, more efficient AI systems to absorb capabilities from larger ones. U.S. policymakers appear to view distillation of American models by foreign actors as intellectual property theft warranting sanctions. However, industry experts have challenged this framing. Microsoft CEO Satya Nadella and Hugging Face CEO Clem Delangue both argue that distillation is either a minor factor in model development or a widely-practiced technique used by U.S. companies as well. Delangue's point—that China's progress stems primarily from strong research teams and open collaboration rather than distillation alone—suggests the sanctions threat may not address the underlying competitive dynamics.

The timing also reflects broader legal and competitive pressures on U.S. AI labs. Anthropic recently received approval to pay authors as part of a $1.5 billion（約2400億円） settlement after a judge ruled the company had illegally downloaded and stored millions of copyrighted books for training. This creates a complex backdrop: the U.S. government is threatening to sanction Chinese companies for alleged IP theft while American AI labs themselves face legal liability for their training practices. The sanctions threat thus represents an attempt to maintain American dominance in the AI race, but its effectiveness may depend on clarifying what constitutes legitimate distillation versus unlawful copying.