The US military is giving artificial intelligence a bigger say in one of the most consequential decisions in warfare: choosing what to strike.
According to the Straits Times, the Pentagon has quietly revised its doctrine on how the US military picks its targets in battle. A report carried by startupfortune.com adds that the revision was made to the Pentagon's classified targeting doctrine, expanding AI's role in combat decisions.
That same report frames the change as a formalization rather than a fresh departure—locking in a shift that was, in its words, already visible in billions of dollars of procurement. In other words, the spending and the technology were already moving in this direction; the updated doctrine puts official policy on paper to match.
The stakes are not only military but financial. The procurement figures tied to this shift run into the billions, signaling a substantial and growing market for defense contractors building AI systems for the armed forces.
The move is not without controversy. RAND, a defense-focused research organization, has published analysis noting that military applications of AI raise ethical concerns—a reminder that handing machines a larger part in targeting decisions touches difficult questions about accountability, oversight, and the role of human judgment in the use of force.
The sources here describe the broad outlines of the change rather than the specific text of the revised doctrine, which remains classified.
Why it matters: when AI helps decide what gets targeted in combat, the question of how much control humans retain over lethal decisions stops being hypothetical—and the money flowing into these systems suggests the answer is being set now.