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Home Artificial Intelligence

Army Advances AI for Command & Control at Tactical Edge

by Miles Jamison
December 15, 2025
in Artificial Intelligence, Department of War, News
U.S. Army logo. The U.S. Army has begun advancing artificial intelligence for command and control at the tactical edge.

The U.S. Army has begun advancing artificial intelligence for command and control at tactical edge.

The U.S. Army has begun developing a strategy to expand the use of artificial intelligence to support command and control at the tactical edge through the Next Generation Command and Control, or NGC2, effort.

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  • How Will the Army Utilize AI at the Tactical Edge?
  • What Did the Army’s AI Industry Workshop Cover?

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Former HHS ASPR CIO Dennis Papula Joins Labor Department as Deputy CIO

Army Needs More Training on AI During ‘Messy’ Period, G-2 CAIO Says

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Army Advances AI for Command & Control at Tactical Edge

An AI-driven command and control technology is one of the U.S. Army’s priorities as it builds upon the results of its 2025 transformation efforts. The Potomac Officers Club’s 2026 Army Summit scheduled for June 18 will address efforts that support the service’s 2030 objectives. Reserve your seat now!

How Will the Army Utilize AI at the Tactical Edge?

The service will collaborate with industry partners and leverage soldier experiments to create an AI-powered framework designed to enhance data processing, boosting decision-making and operational efficiency on the battlefield, the Army said Friday. The effort, which builds on the Department of War’s GenAI.mil website, also aims to accelerate the fires kill chain and reduce cognitive strain on soldiers.

What Did the Army’s AI Industry Workshop Cover?

To complement these battlefield-focused initiatives, the Army recently hosted an industry workshop led by the C2 Future Capability Directorate and Army Contracting Command-Aberdeen Proving Ground to explore how AI can be applied at different levels of command. The session focused on building secure, mission-tailored models for austere environments and gathered expert feedback on leveraging private sector innovation. Key themes included prioritizing capabilities over time and ensuring AI systems have access to relevant warfighting and training data.

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