The US Air Force (USAF) may soon wave goodbye to old-school, static wargaming.
In a new request for information, the service is seeking industry input on an AI-powered software-as-a-service wargaming platform for training service members on immersive, high-intensity conflict exercises.
The system must rapidly build complex scenarios and adjust them in real time based on player choices using machine learning, reinforcement learning, and neural networks
The goal: immersive training that reacts like a real battlefield, not a scripted exercise.
Two Core Scenarios
The USAF wants to play out two scenarios with the AI wargaming platform.
The first focuses on force scaling, testing how expanded training requirements or military recruitment would play out in practice.
The second deals with sustainment under high attrition, where the service wants to teach service members how to design and use immersive wargames and frameworks on the system.
Both scenarios must be stored and replayable without vendor lock-in, allowing after-action reviews, insight gathering, and official reporting.
All data would remain USAF property.
Desired Features
The platform must have built-in messaging, multimedia immersion, and direct player action submissions to cut admin work and ensure accurate tracking for analysis.
It should also be easy to use, involving low-code or no-code tools so users of all skill levels can design and adjust scenarios, while AI handles complexity in the background.
Every action should be logged in a structured format for quick export, tagging, and analysis. Hosting must be in a secure, Pentagon-compliant cloud environment with two-factor authentication.
Responses are due by August 27.
