The US military came close to carrying out an armed operation against a Chinese vessel this spring after an AI chatbot generated false intelligence about its cargo, according to CNN.
Military aircraft were already in the air when officials discovered the intelligence was wrong. The operation was then called off at the last minute, avoiding a potentially serious confrontation with China. CNN reported that armed personnel had also been preparing to board the vessel.
AI Misidentified the Ship’s Cargo
The intelligence report circulated within the US military during the war with Iran and claimed that a Chinese vessel in the Middle East was carrying components linked to a nuclear weapons program.
According to the report, the false intelligence originated when a Special Operations Command analyst used an AI chatbot to combine open-source information with classified signals intelligence.
The chatbot incorrectly identified information about the ship’s cargo manifest. The analyst then used the AI tool again to turn the findings into an official-looking intelligence summary, which subsequently moved through military command channels.
Experienced analysts later examined the underlying material and discovered that the chatbot had misidentified what the vessel was carrying. The military operation was stopped before it proceeded.
Concerns Over AI in Military Decision-Making
The incident comes as the US military continues integrating artificial intelligence into intelligence analysis and other operations.
The Pentagon has promoted AI as a way to accelerate military decision-making, including shortening the time between identifying a potential target and responding to it. However, the incident shows how inaccurate AI-generated information can also move quickly through decision-making systems if it is not independently checked.
Jake Steckler, a GovAI research scholar and former US Army officer, told TechCrunch that military personnel need to understand the uncertainty inherent in large language models, particularly when AI is involved in intelligence, targeting or operational planning.
He argued that the incident should lead to stronger safeguards rather than abandoning the technology altogether. AI tools can still be useful in appropriate situations, he said, but prioritizing rapid deployment without sufficient safeguards could undermine service members’ trust in the systems.
The episode highlights the consequences of AI hallucinations moving beyond incorrect chatbot answers and into decisions where inaccurate information can have military and geopolitical consequences.
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