The two leading AI labs want Washington to crack down on Chinese models, but critics say they're just trying to protect their duopoly
The two most powerful AI companies in America agree on very little. But OpenAI and Anthropic have found common cause on one issue: they want the US government to restrict access to advanced Chinese AI models, citing national security concerns. Most of Silicon Valley thinks that’s a terrible idea.
The divide has become one of the defining fault lines in American tech policy, pitting the companies building the most expensive AI systems against a broader coalition that sees open competition, including from Chinese labs, as essential to innovation. And the Trump administration appears to be listening to both sides, which means nobody knows what happens next.
The case for restrictions #
OpenAI and Anthropic have been making their pitch through a familiar framework: national security. Both companies already block users in mainland China and Hong Kong from accessing their models, a self-imposed restriction that most of their competitors haven’t matched.
Anthropic has gone further, alleging that Chinese firms including DeepSeek and Moonshot (the company behind the Kimi assistant) have engaged in large-scale “distilling” from its AI models. In English: Anthropic claims Chinese labs are systematically extracting knowledge from its models using deceptive methods, essentially reverse-engineering years of expensive research on the cheap.
The Trump administration has been weighing potential responses, including adding certain Chinese AI entities to the Entity List, a move that would formally restrict American companies and individuals from doing business with them. Those discussions have been ongoing since at least 2025.
Six Chinese AI models have appeared on recent AI leaderboards as of late June 2026, demonstrating that they can compete head-to-head with Western systems.
The other side of the valley #
The counterargument is straightforward: restricting Chinese AI models would reduce competition, raise costs for American businesses that rely on AI tools, and ultimately slow down the pace of innovation. Many companies, particularly startups and mid-size firms, have been quietly integrating cost-effective open-source alternatives from Chinese labs into their products. Cutting off that supply would hurt them directly.
White House AI adviser David Sacks has been among the most vocal critics of the restriction push. In a post on X in July 2026, Sacks said that AI policy is at a “critical inflection point” and accused the leading labs of trying to eliminate open-source competition while already controlling what he called a “duopoly” in AI model revenue.
Why this matters beyond AI stocks #
For crypto and digital asset investors, the policy discussions around Chinese AI models have not intersected with any crypto or digital asset regulatory framework so far. But look a layer deeper, and the implications start to matter. AI infrastructure decisions shape the cost and availability of tools that crypto projects increasingly depend on, from automated trading systems to smart contract auditing to on-chain analytics. If the US restricts access to competitive Chinese AI models, the cost of AI compute for American startups, including crypto startups, goes up.
For investors watching the AI sector specifically, the outcome of this debate will directly affect the competitive moats around OpenAI and Anthropic. If restrictions go through, both companies benefit from reduced competition and potentially stronger pricing power. If the open-competition camp wins, the commoditization of AI models accelerates, and the value shifts from model providers to application builders. The Trump administration’s AI policy apparatus has seen shifting priorities and staffing changes. Sacks’ public criticism of the restriction push suggests the White House is not unified on the question.
What investors should watch is the Entity List. If specific Chinese AI companies get added, it signals that the security hawks have won this round. If the administration opts for softer measures, like voluntary guidelines or enhanced monitoring, it means the open-competition camp held the line.
Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our