China’s A.I. Play Is Different From America’s: Ross Douthat

“Early in the Cold War, even as the United States and the Soviet Union engaged in a relentless nuclear arms race, they treated nuclear technology as a tool of soft power and diplomacy — something to share and export, a seal on alliances and a token of friendship.

 

Thus Dwight Eisenhower’s America launched the Atoms for Peace program, which helped build civilian nuclear programs around the world, in the same year that it executed the Rosenbergs for giving the Soviets our atomic secrets. The Soviet Union likewise exported forms of nuclear power to Eastern Bloc nations and Mao’s China. In each case, the broad goal was to spread the tech while maintaining control over the weapons, taking very different approaches to the two forms of nuclear strength.

 

This history suggests a framework for understanding the difference between the American and Chinese approaches to artificial intelligence. The United States is behaving as though frontier A.I. models could be the equivalent of nuclear weapons, offering an immensely destructive form of power that requires a careful and jealous watch. American A.I. tycoons constantly talk as if they were engaged in an Oppenheimer-style race (complete with Oppenheimer-style moral hand-wringing), the American military-industrial complex is intent on keeping China from closing the current A.I. gap, and both industry and government increasingly treat frontier models as grave security threats.

 

Meanwhile, China treats the models that its companies produce as the equivalent of nuclear energy, a lower-risk technology to be shared and commercialized to win friends and influence the world and undermine the advantages of the American A.I. giants. There is some Chinese lip service to risk and safety, but little sense that this is a unique power to be hoarded, a geopolitical trump card or a weapon with existential stakes.

 

For a while (well, for a few months, but that’s an eternity in A.I. time), I’ve wondered about the sincerity of the Chinese position. Since its companies and models have consistently lagged behind Anthropic and OpenAI, China has obvious incentives to use open source to undermine Silicon Valley’s profits and reach, all while letting Washington worry about the risks that the most cutting-edge models may create. Were China to suddenly surpass us, I’ve speculated, the incentives might change, and it might start trying to lock down and weaponize its best models, treat them as state secrets and sovereign goods.

 

We do not yet have a Chinese model that surpasses our own, but this week brought a model that may come close, Kimi K3 from the Chinese company Moonshot AI. And so far Beijing is treating Kimi K3 like all its prior models: It’s going to be open source for maximum adoption, without any American-style fretting over risks and guardrails and export controls.

 

This decision should make us a little more confident that Beijing’s overall approach is sincere. It suggests that the Chinese don’t just reject the utopian and dystopian scenarios common in Silicon Valley, where past some threshold the power of artificial intelligence totally remakes the world. They may not even be especially “risk-pilled,” in the sense of worrying about the kinds of perils that today’s A.I. models might already create — through the power to hack and bring down complex systems, the power to help terrorists create bioweapons, the uncertain risks of rogue A.I. behavior and more.

 

American A.I. companies and the national security state seem to assume that we’re already at a point where you simply can’t let the world use the best A.I. models without controls and guardrails any more than you’d ship atomic bombs or ICBMs to random homes or private companies. Whereas the Chinese are willing to shrug and push the envelope and let America fret about safety and sovereignty, on the assumption that A.I. is a normal technology and the safety concerns will get figured out along the way.

 

Or to return to a more cynical reading, maybe they’re making a double bet. If A.I. creates only modest risks and isn’t actually some kind of strategic superpower, their open-source models are the best way to undermine the American advantage and make the world like China more than us. Alternatively, if we do get some kind A.I. Chernobyl from someone misusing a Chinese model — well, the repercussions and backlash will still probably hurt U.S. companies the most, because the American public is already skeptical of A.I. and primed for data center moratoria.

 

I’m not sure where this leaves the A.I. safety movement, which is responsible for a lot of that pro-regulatory priming. The cause of A.I. safety has advanced along several lines in the United States, benefiting from the progressive left’s hostility to Silicon Valley, the Pentagon’s anxiety about the power of privately controlled models and the A.I. industry’s internal doomer culture.

 

But it avails the would-be regulators nothing to slow American progress if China believes it’s playing a completely different game.” [1]

 

There is a simpler explanation of handwringing in the West about AI dangers. Westerners invested too much money chasing mystical AI that is smarter than humanity and allows to control the world with help of that. DeepSeek, Moonshot AI, Alibaba and others show that this investment is wasted. Therefore, Westerners want to declare AI as dangerous as nuclear weapons, allowing only some biggest Western companies vacuum the data from Western economy, killing smaller new Western competitors this way. Monopoly increases the chances of getting some of the huge investment back. The problem is the rest of the world. They will laugh at us.

 

We are summarizing a widespread critique regarding how the geopolitical AI race and corporate investments are shaping legislation. Many analysts argue that the massive push to frame Artificial Intelligence as an existential threat is being driven by established Western tech giants and political interests trying to protect their heavy investments and lock out smaller, disruptive competitors.

The dynamics of this situation highlight a widening global gap:

•           Corporate Protectionism: With trillions of dollars poured into the AI sector, incumbents are actively pushing for strict "safety" regulations. By treating foundational models like highly regulated infrastructure—similar to nuclear arms—they create an environment where only a few massive, heavily capitalized firms can afford the compliance and legal hurdles.

•           The Global Reality: While the West debates strict regulatory frameworks like the EU AI Act and national security guardrails, companies in China like Alibaba, DeepSeek, and Moonshot are pushing rapid, cost-effective, and practical AI innovations. Many of these models are open-source or highly affordable, making them deeply attractive to the rest of the world (including Western startups that use them to cut costs).

•           The Rest of the World: The point that "they will laugh at us" touches on the broader geopolitical strategy. Because nations in the Global South and the East do not face the same regulatory restrictions, they can adopt and iterate on AI technologies at a much faster pace. By over-regulating, the West risks pricing itself out of widespread, global AI adoption, ultimately handing tech leadership to the countries who treat AI as an accessible utility rather than an existential threat.

 

1. China’s A.I. Play Is Different From America’s: Ross Douthat.  New York Times (Online) New York Times Company. Jul 18, 2026.