Nvidia Corp. (NASDAQ:NVDA) CEO Jensen Huang and Meta Platforms Inc. (NASDAQ:META) CEO Mark Zuckerberg are converging on a message that runs counter to growing calls in Washington to restrict Chinese artificial intelligence models: don’t ban them—beat them.
Their argument comes as the Trump administration weighs restrictions on Chinese open-source AI models. Beijing-based artificial intelligence startup Moonshot AI, which built the Kimi K3, has drawn attention for outperforming some U.S. rivals on industry benchmarks.
But rather than viewing Chinese AI as a threat that should be blocked, Huang and Zuckerberg see open competition as a way to strengthen America’s position in the global AI race.
The Debate Is Shifting From China to Open AI
Speaking to reporters in Washington this week, Huang dismissed concerns that Chinese open-source models pose an existential threat to American AI companies, arguing that fears surrounding AI have become “science fiction.” He said open models expand AI adoption while users continue to gravitate toward the strongest proprietary systems, allowing both approaches to coexist.
Huang also pushed back against claims that downloaded Chinese models pose hidden security risks, saying they can be securely customized and isolated. More importantly, he argued there is “zero” chance China drives U.S. AI companies out of business, adding that many investors misunderstood the impact of DeepSeek earlier this year and are making the same mistake with Moonshot AI’s latest model.
Zuckerberg has echoed a similar view. Earlier this month, the Meta CEO warned against blocking Chinese AI models in an effort to give U.S. companies an edge, arguing that excessive regulation could amount to “regulatory capture” that benefits a handful of frontier AI labs while stifling broader innovation.
The comments put two of the AI industry’s biggest infrastructure and platform companies on one side of an increasingly important policy debate, even as some leading U.S. AI developers have urged tighter oversight of advanced AI systems.
Why Investors Should Care
For Nvidia, the position is unsurprising. The company sells the computing infrastructure that powers AI development, regardless of whether developers build on proprietary models like OpenAI‘s GPT or open-source alternatives from Meta, DeepSeek or Moonshot AI. More AI adoption ultimately translates into greater demand for GPUs.
Meta, meanwhile, has long championed open-weight AI through its Llama family of models, betting that widespread access accelerates innovation and expands its ecosystem.
The debate is increasingly moving beyond whether Chinese AI models can compete with U.S. systems. Instead, the bigger question for investors is whether the future of AI will be shaped by a handful of closed models or by an expanding ecosystem of open AI platforms—a shift that could have implications for everything from chip demand to enterprise software adoption.
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