A new strategy from the Department of the Air Force positions data and AI as a central warfighting asset, with a focus on faster operational decision-making and maintaining military advantage.
Published by the Office of the Chief Data and Artificial Intelligence Officer, the framework prioritizes treating data as a shared operational resource, adopting decentralized architectures, and deploying AI-enabled tools across training, readiness, and multi-domain missions.
It calls for broader access to distributed data, enabling warfighters to retrieve and act on trusted information in near real time.
The strategy also outlines key implementation layers, including strategic imperatives, workforce and governance requirements, and core data pillars, signaling a shift toward more structured, enterprise-wide adoption.
It further emphasizes cultural and process transformation, alongside a data mesh architecture designed to support distributed yet interoperable data access across the force.
Governance and assurance mechanisms are built into the framework, reflecting a focus on managing risk as AI capabilities scale.
An ‘AI-First’ Force
“In today’s complex global security environment, data and artificial intelligence are no longer support functions — they are the foundation of our strategic overmatch,” said Susan Davenport, chief data and AI officer at the Department of the Air Force.
“Execution of these strategies ensure the Department of the Air Force remains agile and decisively ahead of pacing threats.”
The effort aligns with broader Pentagon priorities to accelerate AI adoption and integrate data-driven capabilities into core military operations.
“By becoming an AI-first force, we will empower our warfighters to out-think, out-maneuver, and out-pace any adversary,” said Secretary of the Air Force Troy Meink.
