US Military Strike in Iran Raises Concerns Over AI Targeting Reliability
The US military's experiment with AI-powered intelligence has taken a wrong turn. In February 2026, a Tomahawk missile strike killed an estimated 150 to 175 civilians at a school in Minab, Iran. The strike relied on outdated intelligence that was fed through AI-assisted targeting systems without adequate human vetting.
The investigation revealed that the errors were primarily attributable to human decision-making, not AI hallucination. Operators chose to disregard database warnings and proceeded with information that no longer reflected conditions on the ground.
US Central Command has been at the center of the military's AI adoption push. CENTCOM Commander Admiral Brad Cooper acknowledged in mid-2026 that AI tools are being used for rapid data processing across operations, while maintaining that human decisions remain the ultimate authority.
The Minab incident raises concerns about the scale and reliability of AI targeting. Palantir's Maven Smart System generated around 1,000 targeting recommendations within the first 24 hours of a single campaign phase. CENTCOM has been working with Anthropic's Claude model alongside Palantir's data infrastructure to handle the firehose of intelligence data that modern operations generate.
Defence analysts have cautioned that AI systems operating on synthetic or corrupted data can produce outputs that look authoritative but are fundamentally disconnected from reality.