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The US and USSR, despite being adversaries, collaborated to prevent nuclear proliferation to rogue actors. A similar model can be applied to AI. The US and China share an interest in preventing powerful open-weight models from being used for cyber-attacks or bio-terrorism by third parties, creating a foundation for a safety dialogue.
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To prevent a reckless race, a proposed solution is a U.S.-China treaty to govern the resources needed for frontier AI. This would involve tracking and monitoring advanced AI chips in data centers and imposing a verifiable cap on the computational power used for any single training run.
For a blueprint on AI governance, look to Cold War-era geopolitics, not just tech history. The 1967 UN Outer Space Treaty, which established cooperation between the US and Soviet Union, shows that global compromise on new frontiers is possible even amidst intense rivalry. It provides a model for political, not just technical, solutions.
The path to surviving superintelligence is political: a global pact to halt its development, mirroring Cold War nuclear strategy. Success hinges on all leaders understanding that anyone building it ensures their own personal destruction, removing any incentive to cheat.
A global AI safety regime should learn from nuclear arms control by focusing on the physical infrastructure that enables strategic capabilities. Instead of just seeking promises, it should aim to control access to chokepoints like advanced chip manufacturing and the massive data centers required for frontier models.
The same governments pushing AI competition for a strategic edge may be forced into cooperation. As AI democratizes access to catastrophic weapons (CBRN), the national security risk will become so great that even rival superpowers will have a mutual incentive to create verifiable safety treaties.
The belief that AI development is unstoppable ignores history. Global treaties successfully limited nuclear proliferation, phased out ozone-depleting CFCs, and banned blinding lasers. These precedents prove that coordinated international action can steer powerful technologies away from the worst outcomes.
Despite intense technological competition, both the U.S. and China face a common threat from non-state actors like terrorist or criminal groups acquiring powerful AI models. This shared vulnerability presents a potential opportunity for cooperation on AI regulation and safeguards, even amid broader strategic rivalry.
A pragmatic starting point for U.S.-China AI cooperation is to agree on verifiable red lines for proliferating dangerous dual-use capabilities, such as advanced cyberattack tools. This addresses a mutual security interest and builds the institutional trust and processes needed for more ambitious agreements on superintelligence.
International AI treaties are feasible. Just as nuclear arms control monitors uranium and plutonium, AI governance can monitor the choke point for advanced AI: high-end compute chips from companies like NVIDIA. Tracking the global distribution of these chips could verify compliance with development limits.
Jensen Huang posits that China's AI progress is inevitable due to its talent and resources, rendering US export controls ultimately ineffective. He advocates for a strategic pivot towards dialogue to establish shared safety norms, framing the problem like nuclear arms control rather than a simple technology race.
