Meta CEO Mark Zuckerberg has cautioned against restricting access to Chinese artificial intelligence models, noting that the United States will preserve its leadership in AI by accelerating domestic innovation rather than relying on bans.
The warning comes as the Trump administration considers sanctions and trade restrictions against Chinese developers over alleged intellectual property theft.
In an interview with the Financial Times published Tuesday, Zuckerberg said prohibiting cutting-edge Chinese AI models would not be “an effective solution,” contending that U.S. policymakers should instead focus on removing structural obstacles that limit American competitiveness.
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Rather than attempting to slow China’s progress through restrictions, Zuckerberg said U.S. companies should “systematically” identify bottlenecks and roadblocks that hinder their ability to build better and more capable AI systems.
His remarks stand in contrast to an increasingly hawkish stance in Washington, where policymakers are shifting from restricting China’s access to advanced AI chips toward potentially targeting the AI models themselves. If pursued, such measures would represent another significant escalation in the technology rivalry between the world’s two largest economies.
The debate has intensified following the emergence of Beijing-based Moonshot AI’s Kimi K3 model, whose coding and reasoning capabilities have surprised many in Silicon Valley and fueled questions over how quickly Chinese AI companies are closing the gap with American frontier labs.
Senior U.S. officials have alleged that Moonshot may have relied on large-scale “model distillation” to reproduce the capabilities of advanced American AI systems. Model distillation is a common machine-learning technique in which a smaller model learns from the outputs of a larger one. While it is widely used across the industry, U.S. officials argue there is a clear distinction between legitimate optimization and industrial-scale extraction of proprietary model capabilities that amounts to intellectual property theft.
Moonshot has denied the allegations, maintaining that Kimi K3’s performance improvements resulted from original architectural innovations and independent research.
The accusations come as the Trump administration broadens its AI strategy beyond export controls on semiconductors. Treasury Secretary Scott Bessent recently warned that Chinese companies found to have stolen U.S. AI technology could face financial sanctions or placement on the Commerce Department’s Entity List, a powerful trade blacklist that cuts off access to American chips, software, cloud services and other critical technologies.
The administration has also expanded restrictions on Chinese technology more broadly. On Tuesday, it announced new bans targeting imports of Chinese-made robots and power inverters, citing national security concerns and the need to strengthen America’s domestic AI infrastructure and advanced manufacturing base.
Together, the measures illustrate how Washington’s AI policy is evolving. Earlier efforts focused primarily on limiting China’s access to advanced computing hardware, including Nvidia’s high-end AI processors and semiconductor manufacturing equipment. Policymakers are now signaling that software and frontier AI models themselves could become targets of national security enforcement.
Zuckerberg’s position upholds Meta’s long-standing belief that openness, rather than restriction, is essential to maintaining U.S. leadership in artificial intelligence. The company has invested heavily in open-weight AI through its Llama family of models, arguing that broader access accelerates innovation, strengthens the developer ecosystem and prevents AI capabilities from becoming concentrated among a small number of companies.
His comments also expose a growing divide within the American AI industry over how best to respond to China’s rapid advances. Companies such as Anthropic and OpenAI have repeatedly warned about foreign actors allegedly attempting to extract or copy their models, calling for stronger protections against intellectual property theft and tighter controls on access to frontier systems.
Others, including Meta and several open-source advocates, note that excessive restrictions could ultimately weaken the U.S. AI ecosystem by slowing research collaboration, limiting developer access and reducing competitive pressure that drives innovation.
The discussion comes as Chinese AI firms continue to gain momentum. Alongside Moonshot AI, companies such as DeepSeek and Z.ai have introduced increasingly capable and lower-cost models that are challenging the pricing strategies and business models of leading U.S. developers. Their rapid progress has intensified debate over whether China’s advances stem primarily from original research, the benefits of open-source collaboration, or unauthorized use of proprietary American technology.
For investors and policymakers, the stakes extend well beyond the AI industry. Analysts have noted that the outcome of the dispute could influence global technology supply chains, cross-border investment, export policy and the competitive landscape for companies building the next generation of AI systems.