Air Force experiments with using AI to seek combat targets
CLARK COUNTY, NEVADA, JUL 22 – The exercise tested AI-driven targeting tools to reduce cognitive load and speed decisions, marking a first for the Air Force's command and control methodology.
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5 Articles
The US Air Force let AI help operators find targets to speed up kill chain decisions
The exercise saw operators use AI to speed up targeting acquisitions and decisions.US Air Force photo by Airman 1st Class Jennifer NesbittA recent US Air Force test involved artificial intelligence in kill chain decisions.The service said the AI helped speed up decisions and reduce the cognitive load on operators.It's one example of how the US military is working with AI in combat-related roles.The US Air Force used artificial intelligence to sp…


Air Force experiments with using AI to seek combat targets
The U.S. Air Force recently conducted an exercise in which AI was used to recommend targets in a high-pressure combat scenario. Called “Experiment 3,” the four-day exercise took place last month and was described in a service release as the debut of “a novel planning and execution methodology, one never before executed” by the Air Force. The 805th Combat Training Squadron, also known as the Shadow Operations Center — Nellis battle lab, saw parti…
MQ-20 Avenger Simulates Beyond-Line-Of-Sight Engagement in New Test
The test demonstrated long-range kill chain effects, including an autonomous air-to-air engagement, by using beyond-line-of-sight (BLOS) Command and Control (C2). The MQ-20 Avenger Unmanned Combat Aerial Vehicle (UCAV) conducted another simulated air-to-air engagement on Jul. 8, 2025, announced General Atomics-Aeronautical Systems (GA-ASI) on Jul. 17, 2025. The test, which involved both live and simulated aircraft, […] The post MQ-20 Avenger Sim…
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