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The ultimate goal for US-China relations should not be to "win" a zero-sum AI race, but to achieve a "Pax Robotica"—a future of shared peace and abundance. This reframes the relationship from competition to collaboration, avoiding the creation of new AI-powered existential risks.
In the race for AGI, framing the primary conflict as US vs. China is a mistake. The true "aliens" are the AIs, which are fundamentally different from any human culture. We have far more in common with our fellow humans, even rivals, and should prioritize cooperation with them over racing to build uncontrollable systems.
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.
The nuclear arms race precedent suggests China will inevitably develop powerful AI. The crucial policy question is not how to block their progress, but how to manage a world where they have achieved AI parity, a concept akin to mutually assured destruction that is currently missing from the US discourse.
Robert Wright argues the US, as the leading AI power, should redefine its national mission. Instead of a breakneck race with China, its goal should be to guide the world toward a stable, coordinated international framework for AI. This reframes leadership from dominance to stewardship for humanity's collective benefit.
The greatest risk in US-China tech competition is not one side getting ahead, but their technology stacks becoming mutually unintelligible. This lack of legibility creates a volatile environment ripe for catastrophic miscalculation and conflict, making a shared AI paradigm a strategic necessity for peace.
Beyond compute and talent, the critical challenge in the US-China AI race is managing the societal transition. The winner will be the country that can successfully balance rapid AI-driven economic growth with the political and social instability caused by widespread automation and public fear.
Framing the US-China AI dynamic as a zero-sum race is inaccurate. The reality is a complex 'coopetition' where both sides compete, cooperate on research, and actively co-opt each other's open-weight models to accelerate their own development, creating deep interdependencies.
The AI competition is not a race to develop the most powerful technology, but a race to see which nation is better at steering and governing that power. Developing an uncontrollable 'AI bazooka' first is not a win; true advantage comes from creating systems that strengthen, rather than weaken, one's own society.
Joe Tsai reframes the US-China AI competition. He argues against the "race" narrative, describing AI as a fundamental utility like electricity or water. He believes its benefits, especially in fields like medicine, are essential for humanity and should be proliferated globally, with nation-state competition confined to military applications.
Unlike the Cold War's 'mutually assured destruction,' if one nation secretly believes it can control a superintelligence, it will pursue it. The only path to a stable pause is if both the US and China agree that superintelligence is uncontrollable by anyone, leading to 'assured destruction' for all, thus aligning their incentives to truly halt development.