Lockheed Martin (NYSE: LMT) and the U.S. Air Force Test Pilot School demonstrated sensor-driven artificial intelligence autonomy on a fighter aircraft, completing 27 AI-controlled intercepts across eight flights using the X-62 Variable In-flight Simulation Test Aircraft (VISTA).

During the tests, the X-62 was equipped with a Lockheed Martin Legion Pod, which tracked a live T-38 jet and fed data to an AI agent that autonomously piloted the aircraft into tactical intercept positions. The tests moved AI evaluation from simulated target data to real-time, onboard sensor streams.

Full integration and ground testing of the AI agents with the X-62 was completed in three months, using what Lockheed Martin describes as its "Supermassive" AI agent generation capability.

"Our autonomous agents consumed classified infrared search and track feeds and executed combat-critical maneuvers in real time," said Ron Fehlen, vice president and general manager of Lockheed Martin Skunk Works.

Stacy Kubicek, vice president and general manager of Lockheed Martin Sensors and Global Sustainment, said the project demonstrates "how sensing and autonomous AI can come together as a force multiplier to make faster, more informed action in complex environments."

According to the company, a planned Mission Systems Upgrade for the X-62 will aim to integrate combat systems, sensors, and airborne AI agents within a next-generation mesh network. The information is based on a statement from Lockheed Martin.