The Pentagon is betting on artificial intelligence to accelerate military planning, with the Defense Innovation Unit's Thunderforge initiative designed to integrate AI-powered wargaming into operational decision-making. The objective appears to be to process vast amounts of information, generate courses of action, and help commanders respond to evolving threats at greater speed. The technology is advancing rapidly, but one question remains unresolved. Who takes responsibility when the machine gets it wrong?
A 2026 study from King's College London examined how three leading AI models handled 21 simulated nuclear crises. Across 329 turns of play, the models chose nuclear signaling in 95% of scenarios, highlighting the risks of allowing systems to navigate escalation without sufficiently understanding the human consequences of their recommendations. The experiment was a simulation, not evidence that AI would behave identically in a real crisis. Its findings nevertheless raise difficult questions about machine reasoning under pressure.
