The Manhattan Trap: Why a Race to Artificial Superintelligence is Self-Defeating
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Abstract (arXiv)
This paper examines the strategic dynamics of international competition to develop Artificial Superintelligence (ASI). We argue that the same assumptions that might motivate the US to race to develop ASI also imply that such a race is extremely dangerous. These assumptions--that ASI would provide a decisive military advantage and that states are rational actors prioritizing survival--imply that a race would heighten three critical risks: great power conflict, loss of control of ASI systems, and the undermining of liberal democracy. Our analysis shows that ASI presents a trust dilemma rather than a prisoners dilemma, suggesting that international cooperation to control ASI development is both preferable and strategically sound. We conclude that cooperation is achievable.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 Dec 2024.
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Citing papers per year: 2025: 3; 2026: 1.
4 papers.
- 2025Misalignment or misuse? The AGI alignment tradeoffcited by 4
- 2025Against racing to AGI: Cooperation, deterrence, and catastrophic riskscited by 2
- 2025AI Alignment Strategies from a Risk Perspective: Independent Safety Mechanisms or Shared Failures?cited by 1
- 2026Are we Doomed to an AI Race? Why Self-Interest Could Drive Countries Towards a Moratorium on Superintelligencecited by 1
- 2026Are we Doomed to an AI Race? Why Self-Interest Could Drive Countries Towards a Moratorium on Superintelligence2 May 2026
- 2025AI Alignment Strategies from a Risk Perspective: Independent Safety Mechanisms or Shared Failures?13 Oct 2025
- 2025Against racing to AGI: Cooperation, deterrence, and catastrophic risks29 Jul 2025
- 2025Misalignment or misuse? The AGI alignment tradeoff4 Jun 2025