The US Army is looking for possible AI and machine learning solutions that could improve the service’s airspace management processes.
A new request for information is asking industry partners to pitch tools that can help military commanders handle the stress of managing busy skies during combat.
The goal is to make it easier for them to stay aware of what’s happening and make quick, smart decisions as situations change fast on the battlefield.
Addressing Air Operations, Data Overload
Proposed solutions need to work in dynamic environments, plug in easily across different airframes and control systems, and stay reliable even in crowded airspace filled with friendly and neutral forces.
They should also help sort priorities in real time, deconflict flight paths, and coordinate smoothly with joint and allied units, all without overwhelming users or slowing things down. That means crunching huge amounts of data and delivering useful insights on the fly.
“As the Army continues to integrate advanced technologies and expand its use of unmanned aerial systems (UAS), rotary-wing, fixed-wing, and emerging platforms, traditional airspace management methods are being challenged by the growing scale, speed, and complexity of operations,” the document explained.
Redesigning Management Structure
In the solicitation, the US Army underscored the urgent need for advanced, fast-acting AI and machine learning tools to manage the rising complexity of airspace operations in high-threat environments.
“AI-enabled airspace management solutions have the potential to address these challenges by leveraging machine learning, predictive analytics, and automation to enhance situational awareness, optimize airspace allocation, and enable rapid decision-making,” the army said.
“The insights gathered will help shape the Army’s future airspace management capabilities, ensuring that it remains agile, adaptive, and ready to dominate the battlespace.”
Responses to the solicitation are due by August 2025.
