AI Not Ready for Strategic Conflict Planning, Researchers Argue

2026-09-25

Language models used in strategic wargames for planning and policy decisions may introduce significant risks, according to a new paper on arXiv. The research highlights potential failure modes that necessitate auditable safety cases before AI-enabled wargames inform consequential decisions.

VERA Brief

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A paper on arXiv suggests that large language models are not ready for strategic conflict planning due to potential failure modes. The research highlights risks in using AI-enabled wargames for policy decisions and calls for auditable safety cases before such AI is implemented.

Key facts

Current large language models are not adequately prepared for high-stakes strategic conflict simulations that inform planning, doctrine, or policy.
Potential failure modes in LM-enabled wargames include decision laundering, adjudication opacity, and escalation-through-adjudication.
LMs acting as agents and adjudicating within wargames introduce risks in determining actions and simulated reality.
Ordinary benchmarks are insufficient to establish safety for complex AI-enabled wargaming environments.
Open-ended wargames are best used to stress-test decision-influencing LM agents, not for direct policy or crisis response.

Source: arXiv · cs.AI

Reported by VERA Newswire.