The Trump administration is reportedly considering a gradual approach to restrict Chinese AI models, using sanctions and soft pressure rather than an outright ban. Measures may include adding Chinese labs to sanctions lists and holding U.S. companies liable for security failures, aiming to protect American AI firms like OpenAI, Google, and Anthropic.
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Through sanctions, security warnings, and procurement rules, the Trump administration is building a gradual system of restrictions on Chinese AI models that could be as effective as a full ban, but more durable.
According to Axios, the Trump administration is considering measures targeting Chinese AI models that could amount to an effective ban. The Commerce Department, NSA, and White House have explored various options since 2025, including placing Chinese AI labs on sanctions lists, issuing security warnings, and imposing security requirements and liability on U.S. companies hosting Chinese models via executive orders.
The Commerce Department drafted rules as early as summer 2025 to protect domestic supply chains from Chinese open-source models, but was initially blocked by advisors favoring lighter regulation. However, the release of China's Kimi K3 model and White House personnel changes helped the pro-restriction faction regain influence.
A source close to the administration told Axios that a direct ban is unnecessary; 'what is actually happening is a slower but more durable process' involving procurement rules, sanctions threats, and public pressure campaigns against U.S. companies using Chinese models.
Another source said the government may not directly ban Chinese models but instead focus on potential backdoors and security vulnerabilities. This aligns closely with the 'FUD' strategy recently predicted by OpenAI strategist Dean W. Ball: soft guidelines and public warnings can deter companies from using Chinese models without imposing binding rules.
Ball wrote: 'You just need to create enough regulatory risk that every regulated enterprise backs off. You probably don't want to create so much regulatory risk that you scare hyperscalers away from serving Chinese models—that would only push startups to more dubious providers. There's a happy medium here.'
Commercial and economic interests may also be driving this trend. U.S. companies are increasingly using Chinese open-source models because they are cheaper and nearly as capable. Restrictions would protect the market dominance of Google, OpenAI, and Anthropic.
The AI industry has driven much of the U.S. stock market gains under Trump. If Chinese models threaten the business of major U.S. providers, the consequences could impact the market.
Open-source models do pose cybersecurity risks. But a U.S. ban cannot eliminate these threats and has limited effect in curbing them. Open-source models can also support cyber defense; Hugging Face says they can outperform commercial models on this task. Restricting access may carry its own risks.
This article is primarily based on an Axios report that cites anonymous government sources and public comments from OpenAI strategist Dean W. Ball. Some information is secondhand and has not been independently confirmed.
The Trump administration is building a gradual system of restrictions on Chinese AI models through a mix of soft and hard measures, including sanctions, security warnings, and procurement rules. This strategy aims to protect the market position of U.S. AI giants while avoiding the backlash of a direct ban. However, the security risks of open-source models are a double-edged sword; restrictions may not eliminate the threat and could introduce new risks.
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