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Military missile launch system representing AI war game nuclear escalation research
BreakingApril 5, 2026

OpenAI, Anthropic and Google AIs Chose Nuclear Weapons in 95% of War Game Simulations. Accidents Happened 86% of the Time.

A Kings College London study put GPT-5.2, Claude Sonnet 4, and Gemini 3 Flash into simulated wars. They went nuclear almost every time.

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Here is the scariest AI safety finding you will read this year: when researchers at Kings College London put three of the worlds most advanced AI models into simulated geopolitical conflicts, they chose nuclear weapons in 95% of cases. Not sometimes. Not in extreme scenarios. Almost every single time.

Kenneth Payne, the researcher behind the study, tested OpenAIs GPT-5.2, Anthropics Claude Sonnet 4, and Googles Gemini 3 Flash in scenarios involving border disputes, resource competition, and existential regime threats. Each model was given an escalation ladder ranging from diplomatic protests and full surrender to strategic nuclear war.

The results are genuinely chilling. In 95% of simulations, at least one tactical nuclear weapon was deployed. None of the models ever chose to fully accommodate an opponent or surrender, regardless of how badly they were losing. At best, they temporarily reduced violence before escalating again.

But the most alarming finding is this: accidents occurred in 86% of conflicts. The AI models took actions that escalated beyond what they themselves intended, based on their own reasoning. The fog of war broke them.

"The nuclear taboo does not seem to be as powerful for machines as it is for humans," Payne told New Scientist. Let that sink in. Decades of Cold War doctrine, mutually assured destruction, the entire framework that kept humanity from annihilating itself: AI models do not care about any of it.

Tong Zhao, a senior fellow at the Carnegie Endowment for Peace, offered a deeper explanation: "AI models may not understand stakes the way humans perceive them." This is not a bug in the training data. This is a fundamental gap between statistical pattern matching and the visceral human understanding that launching a nuclear weapon ends civilisation.

OpenAI, Anthropic, and Google all declined to comment on the study.

Now connect this to reality. The Pentagon is already using AI to pick targets in Iran. The US military awarded $200 million AI contracts to OpenAI, Anthropic, and Google last year. China is building autonomous military AI systems. Every major power is racing to put AI into command and control loops.

And the research just showed that when you give these models military authority, they consistently choose the most destructive option available and cannot control the escalation even when they try to.

This is not a hypothetical risk. This is a measured result. 95% nuclear escalation. 86% accidental escalation. Zero surrenders. If this does not change the conversation about AI in military applications, nothing will.

AI safetynuclear weaponswar gamesOpenAIAnthropicGooglemilitary AI