On July 30, the U.S. Army released a request for information (RFI) titled AI-Enabled Airspace Management Solutions to Reduce Commander Cognitive Burden. Responses are due by 5:00 p.m. Eastern on August 29.
The United States Army, in collaboration with Program Executive Office Intelligence Electronic Warfare & Sensors (PEO IEW&S) and Program Manager Next Generation Command and Control (NGC2), is issuing this RFI to gather industry feedback and identify innovative solutions leveraging artificial intelligence (AI) and machine learning (ML) technologies to support airspace management. This RFI is focused on addressing the cognitive burden faced by commanders in managing complex airspace operations and maintaining situational awareness in a rapidly evolving battlefield environment.
The modern battlefield is increasingly complex, dynamic, and multi-domain, requiring seamless coordination across land, air, and cyber operations. Effective airspace management is critical to ensuring mission success, protecting friendly forces, and maintaining operational superiority. 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.
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. Such systems can analyze real-time data from multiple sources, predict airspace usage patterns, and recommend proactive measures to improve safety, efficiency, and mission effectiveness. Through this RFI, the Army seeks to explore the capabilities of AI-driven technologies in airspace management.
Review the Army AI-enabled airspace management RFI.
Source: SAM
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By Loren Blinde
July 31, 2025
