The upcoming ADSTAR Summit in Adelaide will spotlight new work on artificial intelligence for air battle management training, highlighting how AI-enabled systems could reshape the way air operations specialists are prepared for complex missions.
According to Defence sources, a recent project has focused on developing AI agents that can act as realistic, adaptive opponents and collaborators inside synthetic training environments. These agents are designed to replicate the behavior of crewed and uncrewed aircraft, sensors, and decision-makers, allowing air battle managers to rehearse high-intensity scenarios that are difficult or costly to reproduce in live training.
The initiative is being presented as part of a broader push toward an integrated defense innovation ecosystem, linking Defence, industry, and research organizations. By using machine learning to generate varied threat behaviors and rapidly reconfigurable scenarios, the training tools aim to expose personnel to a wider range of contingencies, including highly contested airspace and dense electromagnetic environments.
At ADSTAR, project teams are expected to outline how the technology can be integrated into existing command-and-control simulators and future training systems, and how AI-generated data may inform doctrine development and capability planning for air and joint operations.