Meta’s Zuckerberg warns banning China’s AI could backfire

Meta CEO Mark Zuckerberg suggests that the US should come up with a strategy to compete with China’s artificial intelligence instead of imposing a ban on it. In a recent interview, he pointed out that improved technology, and not restrictions, is the way to preserve the US position as a leader.

The arguments have moved beyond the discussion on how users will be able to access AI chatbots. Instead, the focus now has turned to the question of who is going to determine the next generation of AI platforms, as well as the developer ecosystems and infrastructure. Although the US is still the leader in this sector, the rapid development of Chinese models is outpacing what policymakers had planned.

American models still dominate global usage

A study done by RAND Corporation on internet traffic created by AI technologies across 135 countries stated that large language models in the USA made up the bulk of 93% of the worldwide internet traffic in August 2025.

Moreover, the market is growing massively as the number of users visiting top AI companies increased from roughly 2.4 billion in April 2024 to around 8.2 billion in August 2025. The US platforms continued to grow while the competition from China increased as well.

The hardware superiority of the United States also backs its software supremacy. As per Epoch AI’s AI chip sales data, Nvidia’s H100-equivalent accelerators still dominate frontier AI computing capacity worldwide. That’s one of the reasons Washington maintains its obsession with semiconductor export regulations, even while Chinese AI software is gaining in popularity.

DeepSeek rapidly expanded China’s international presence

The most significant change came after DeepSeek launched its R1 reasoning model in January 2025. According to RAND, China’s share of worldwide AI traffic increased from nearly 3% to almost 13% in just two months, and traffic to China’s AI platforms climbed to around 460%.

Chinese companies achieved a market share of over 10 % in 30 nations and gained at least 20% of AI traffic in 11 markets, especially in developing economies and in nations that have been cooperating with China tightly.

According to RAND, one factor behind the growth is cost. In contrast, Chinese systems usually cost between one-sixth and one-fourth of comparable American models, while improving their multilingual efficiency has reduced another traditional American strength.

Epoch AI’s frontier model repository reveals that more enterprises can now create cutting-edge foundation models. While many of the best projects originate from US labs, Chinese organizations are responsible for an increasing percentage of frontier launches.

According to RAND research, China has made significant investments in AI diplomacy, though it ended up concluding that it is mostly businesses, developers, and users, rather than government efforts, who are behind the AI adoption.

Export controls remain Washington’s other lever

Imposing a ban on Chinese AI models would supplement existing restrictions implemented by the U.S. on modern AI chips, even though the outcome of those bans is rather mixed.

The Center for Strategic and International Studies (CSIS) reported that the Trump administration loosened the restrictions on shipments of Nvidia’s H200 accelerators to China in December 2025 and switched to a case-by-case review of requests to allow exports of H200 and AMD MI325X chips.

The CSIS revealed that China has prevented its local companies from acquiring the chips even with US licenses approved, and preferred to promote the importance of local alternatives. This case depicts a more complicated problem that export control probably minimizes China’s access to state-of-the-art hardware, while simultaneously enhancing local production of semiconductors and use of generative AI solutions that are hard to restrain once released.

Zuckerberg and Washington diverge on AI strategy

Zuckerberg’s stance is in stark opposition to the common belief in Washington.

“The U.S. is the AI leader in the world. We’re an AI superpower. China is second.” — US Treasury Secretary Scott Bessent

Bessent’s thoughts are shared by Interior Secretary Doug Burgum.

“The U.S. cannot lose to China in the AI arms race.” — Interior Secretary Doug Burgum

As per Brookings, casting AI as a simple contest overlooks essential points. The edge of the US stems from large-scale commercial activity, private investments, and venture capital-backed technological progress while China’s strategy relies on heavy industrial policies and the creation of a self-reliant technological ecosystem.

The most significant benefit may not be chatbot market presence itself, but rather the surrounding developer ecosystem. Consumer trends can change in a split second, but companies are less likely to change AI solutions once processes and applications have been integrated.

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