The Grey Terminal
WHERE CODE MEETS CAPITAL
Loading prices…
Powered by CoinGecko
AI

Washington’s China Crackdown Could Hand America’s AI Giants Exactly What They Want

Officials are weighing new restrictions on Chinese AI models as critics warn they could entrench US AI leaders.

Washington’s China Crackdown Could Hand America’s AI Giants Exactly What They Want

The Trump administration is considering a series of measures that could make it significantly harder for American companies to use Chinese artificial intelligence models, according to Axios, reviving a policy debate that critics say could strengthen the position of the country’s largest AI companies.

Key Takeaways
  • The Trump administration evaluates utilizing Entity List restrictions and procurement rules to discourage U.S. businesses from deploying Chinese AI models.
  • Lobbyists reportedly approach the administration every three to five months with proposals to restrict open-source competition against domestic frontier labs.
  • David Sacks warns that mandatory liability requirements for foreign software risk entrenching a domestic AI duopoly led by OpenAI and Anthropic.
Listen to this article
READY

Officials have discussed using existing government authorities, including Entity List restrictions, procurement rules and liability requirements, to discourage businesses from deploying Chinese open-source models rather than imposing an outright ban, Axios reported, citing people familiar with the discussions.

The renewed effort comes as Chinese models such as Kimi gain traction among developers and enterprises seeking lower-cost alternatives to leading American systems, intensifying a debate that now stretches beyond national security into competition within the AI industry.

Officials Explore New Ways to Restrict Chinese AI

According to Axios, the Commerce Department last year considered adding several Chinese AI laboratories to its Entity List, a move that would effectively restrict U.S. access without a government licence.

The National Security Agency and the White House Office of the National Cyber Director also examined issuing guidance warning companies about potential security risks associated with Chinese AI models, while the White House discussed requiring businesses to assume liability if they hosted Chinese models that later created security problems, the report said.

Advertisement · Press Release

Have a development worth tracking?

Share product launches, funding announcements, partnerships, research findings and market developments with The Grey Terminal's readership.

→ Submit a Press Release

Commerce officials also circulated draft rules that would have used supply chain authorities to target Chinese open-source AI models, according to another person familiar with the discussions.

Those proposals were ultimately abandoned after administration officials argued they could slow innovation. Axios reported that the discussions have since regained momentum as cybersecurity concerns have grown and Chinese AI capabilities have advanced.

Neither the White House nor the Commerce Department responded to Axios’ requests for comment.

Chinese Open Models Gain Ground

The latest discussions come as Chinese developers continue releasing increasingly capable open-weight models that businesses can run on their own infrastructure.

Axios reported that U.S. companies are adopting Chinese models because they cost less while delivering performance that approaches leading American systems.

The latest catalyst has been Moonshot AI’s Kimi, which attracted widespread attention last week after demonstrating capabilities that many developers viewed as competitive with frontier U.S. models.

Unlike proprietary AI systems that require ongoing API subscriptions, open-weight models allow companies to deploy and customise the software on their own hardware, making them attractive for organisations seeking lower operating costs.

David Sacks Warns Against Limiting Open-Source Competition

The proposals have drawn criticism from David Sacks, an outside White House AI adviser, who argued that restricting Chinese models could also reduce competition within the U.S. AI market.

“We are at a critical inflection point in AI policy. The leading closed labs, already a duopoly in terms of AI model revenue, want the government to eliminate their open-source competition,” Sacks wrote on X on Sunday.

Sacks has previously argued that regulation should not entrench dominant AI companies or discourage open-source development.

The report also cited a source familiar with the discussions who said representatives of leading AI companies or their allies approach the administration every three to five months with proposals aimed at restricting open-source models.

OpenAI and Anthropic have publicly supported AI safety frameworks, including licensing proposals in some cases, although neither company has called publicly for a ban on Chinese open-source models.

Pressure May Come Without a Formal Ban

People familiar with the discussions told Axios the administration may not need to prohibit Chinese AI outright to reduce its use in the United States.

Instead, officials could rely on procurement policies, Entity List designations, government advisories and liability requirements to discourage businesses from deploying Chinese models.

Another source described the approach as an effort to highlight potential security risks, including possible backdoors and governance concerns, while encouraging wider adoption of American open-source alternatives.

AI Policy Is Shifting Beyond Chips

The discussions suggest Washington’s AI strategy is expanding beyond export controls on advanced semiconductors toward the software itself.

Until recently, U.S. policy largely focused on restricting China’s access to advanced chips needed to train frontier AI systems.

The latest proposals target the deployment of completed AI models instead, reflecting growing concern inside Washington over the adoption of Chinese artificial intelligence technology by American businesses.

Whether those discussions ultimately result in formal restrictions remains unclear. But according to reports that momentum behind tougher measures has increased as Chinese models become more capable and gain wider commercial adoption.

TERMINAL LAYER

Activate Terminal Layer

Structural analysis of the systems, pressures, and stakeholders behind this story.

FAQ

Frequently Asked Questions

01

What are Chinese open-source AI models?

Chinese open-source models are large language systems, such as Moonshot AI’s Kimi, that allow developers to run software on private infrastructure. These systems provide a lower-cost alternative to proprietary American APIs by allowing companies to customize models on their own hardware. This flexibility has driven significant adoption among U.S. enterprises seeking to reduce operational costs.
02

Why does this matter for the American AI industry?

Restricting these models could force U.S. businesses toward more expensive domestic providers like Google or OpenAI. It creates a regulatory barrier that favors closed-loop systems over the open-source community. This transition shifts the competitive landscape from raw performance to government-sanctioned compliance and national security vetting.
03

How will the Commerce Department execute these restrictions?

Officials plan to use Entity List designations and federal procurement rules to discourage the deployment of Chinese software. The Commerce Department is also discussing liability mandates that require businesses to assume legal responsibility for security flaws in foreign models. These measures aim to create a "slower and more durable" pressure than an outright legislative ban.
04

What are the risks of limiting open-source competition?

Critics like David Sacks argue that these restrictions protect a domestic duopoly and stifle technological innovation. If open-source competition is eliminated, U.S. companies may face higher costs and a lack of architectural variety in their AI stacks. There's also the risk that aggressive targeting of software slows the overall pace of global machine learning research.
05

What signals will determine the enforcement of AI software controls?

Market observers are monitoring upcoming National Security Agency guidance regarding potential backdoors in foreign-origin models. The White House Office of the National Cyber Director is expected to release formal security warnings for enterprises using Moonshot AI or Alibaba systems. Future adoption rates of American open-source alternatives will indicate the success of these indirect restrictions.

You Might Also Like

THE GREY TERMINAL
🛡
Alex Reeve

Alex Reeve is a contributing writer for The Grey Terminal Her articles provide timely insights and analysis across these interconnected industries, including regulatory updates, market trends, token economics, institutional developments, platform innovations, stablecoins, meme coins, policy shifts, and the latest advancements in AI, applications, tools, models, and their broader implications for technology and markets.

The views and opinions expressed by the author in this article are her own and do not necessarily reflect the official position of The Grey Terminal, its management, editors, or affiliates. This content is provided for informational and educational purposes only and does not constitute financial, investment, legal, or tax advice. Readers should conduct their own research and consult qualified professionals before making any decisions related to digital assets, cryptocurrencies, or financial matters. The Grey Terminal and its contributors are not responsible for any losses incurred from reliance on this information.