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When Donald Trump and Xi Jinping walked side by side through the Temple of Heaven in May, the headlines went to Taiwan, to tariffs, to Nvidia’s chips. The thing that may prove to matter most barely registered. Only afterward, almost in passing, did mention it to reporters on Air Force One: he and Xi had talked about “possibly working together” on guardrails for artificial intelligence – and, he acknowledged when pressed, on the kinds of risks neither side may be able to contain once the technology is built.

That conversation, however elliptical, marks a genuine inflection point. Not because it produced an agreement, but because it revealed something that the “AI arms race” narrative has obscured: both Washington and Beijing are more uncertain about what they’ve built than about what the other side has built.

Beijing’s 2-trillion-yuan blueprint to build a nationwide AI infrastructure network, mandating 80 percent reliance on domestic suppliers like Huawei, looks at first like a declaration of technological total war – a calculated squeeze on Nvidia and AMD. The framing practically writes itself. Rival superpowers. Digital hegemony. A new Cold War fought in silicon rather than steel.

But the architecture of the plan tells a different story. The emphasis on domestic supply chains is not an offensive posture. It is a bunker. China is not building toward dominance so much as insulating itself against dependency – hedging against the possibility that the technology it is racing to develop might be turned against it, or might simply get away from it. That is a different kind of fear than we are used to hearing about.

The same anxiety is audible in Washington, if you know where to listen. Treasury Secretary Scott Bessent – whose portfolio is the financial system – has warned that frontier models could be turned to malicious ends by nonstate actors, and has pressed for a US-China protocol to guard against it. The Pentagon’s guidance on military AI was notable less for what it proposed than for what it insisted on preserving: human beings in the decision loop, especially where nuclear command and control is concerned. Chinese and American officials, it turns out, are unnerved by the same scenario – a crisis in which neither side is confident it can tell whether an autonomous system has made a decision, or simply made an error.

This convergence does not mean the two countries trust each other. They don’t. Chip export controls remain in place. Chinese labs are advancing rapidly on models designed to route around American restrictions. The competition is real, and in many domains it is intensifying.

But competition and restraint are not opposites, and the emerging reality is more complicated than either hawks or optimists tend to acknowledge. What is taking shape between Washington and Beijing is not détente – no treaty was signed in Beijing, and the first bilateral AI dialogue in Geneva in 2024 collapsed almost immediately under the weight of incompatible expectations. What is taking shape is something more provisional and more fragile: a shared reluctance to be the party that tips an already unstable system into genuine chaos.

Call it a Cold Peace. It is not a doctrine. It is not even an agreement. It is a posture – maintained not by trust but by mutual anxiety about what comes next if restraint breaks down.

The Cold Peace has already begun reshaping markets and industries, often invisibly. Venture capital firms in Silicon Valley are quietly recalibrating portfolios to hedge against regulatory slowdown, betting that governments will impose friction on frontier model deployment before the technology fully matures. In Beijing and Shenzhen, compliance reviews have lengthened development cycles for autonomous systems – not because regulators are opposed to the technology, but because no one is confident yet about who bears liability when an algorithm fails at scale. These are not dramatic reversals. They are adjustments, the kind that accumulate before anyone has named what is happening.

The rare earth ban on ten American companies announced in late June – targeting MP Materials and USA Rare Earth alongside US defense contractors – illustrates precisely this dynamic. Analysts called it symbolic retaliation for the Pentagon’s own blacklisting of Chinese tech giants like Alibaba and Baidu. But “symbolic” is doing a lot of work. The move came just five weeks after the Temple of Heaven summit, and it exposed the fragility of whatever goodwill was generated there. China controls over 90 percent of rare earth refining – the same materials that go into the data center hardware, autonomous systems, and defense electronics at the center of the AI competition. The Cold Peace does not prevent these moves. It only ensures they are calibrated carefully enough not to tip into something worse. That is a thin margin.

The deeper irony is that the AI race may be the first great-power competition in modern history where the rivals are more uncertain about the systems they’ve built than about the intentions of the other side. The nuclear age produced a similar reckoning, eventually – Eisenhower’s warning about the danger of a garrison state, Kennedy’s confrontation with the logic of mutual assured destruction. But that reckoning took decades and several near-catastrophes to arrive at. The AI reckoning is arriving faster, partly because the technology moves faster, and partly because its failure modes are less predictable than a missile trajectory.

The question now is whether fear is a durable enough foundation for stability. History suggests it is not – or not for long. The absence of escalation today is not a guarantee of equilibrium tomorrow. A single cyberattack convincingly attributed to an AI system, a market crash triggered by algorithmic mispricing, or a military incident involving autonomous weapons could unravel the current equilibrium with a speed that traditional diplomatic channels are not built to handle.

What would make this moment more durable is not a grand bargain – neither side is ready for that – but the slow accumulation of precedents: shared definitions of what constitutes a destabilizing AI capability, back-channel communication protocols for autonomous military incidents, agreed norms around AI in nuclear command systems. These are not romantic ambitions. They are the minimum infrastructure for managing a technology neither side fully understands.

Trump and Xi did not produce any of that in Beijing. But they did, apparently, produce something: Trump’s acknowledgment, however offhand, that the two might “work together” on AI guardrails – a concession that the machines they are building are outpacing their ability to govern them, and that some informal floor on recklessness is in both their interests. In the history of great-power competition, that is not nothing.

The danger is in mistaking the floor for a ceiling.

Imran Khalid is a geostrategic analyst and columnist on international affairs. He is a senior fellow at Foreign Policy In Focus.


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