SafetyEthicsAccountabilitycs.CY
Superintelligence and the Triple Risk of an AI Race
Matthew Rendall, Max Hellrigel-Holderbaum, Leonard Dung
October 12, 2026
Key Takeaways
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AI races create pressure to skip safety measures: The paper argues that competition to develop AGI first incentivizes countries to "dismantle unnecessary regulatory barriers," which risks a "race to the bottom on safety practices." This means safety considerations may be deprioritized in favor of speed.
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Three distinct dangers from AI competition: Beyond traditional arms race risks (being overtaken or triggering conflict), the paper identifies a novel third risk: losing control of superintelligent AI systems that could "endanger our very survival" if they surpass human intelligence by a huge margin and we cannot maintain oversight.
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China is not currently racing toward superintelligence: The paper notes that "China does not yet appear bent on racing to superintelligence," suggesting the competitive dynamic is not inevitable and could be avoided through deliberate policy choices.
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Unilateral and cooperative safety efforts are preferable to racing: Rather than competing to reach AGI first, the paper recommends the United States prioritize both independent safety improvements and international cooperation to reduce risks that "all humanity could lose."
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The timeline matters urgently: The paper emphasizes that AGI could emerge "within the next few decades or even sooner," making decisions about how to approach AI development a pressing near-term concern rather than a distant theoretical problem.