Air Force Pushes ‘AI-First’ Strategy

The Department of the Air Force is restructuring how it develops, secures and deploys AI across the enterprise, rolling out a new strategy designed to connect data, models and decision-making from senior command to the tactical edge. Officials said the department’s AI strategy, released in April, moves the service away from isolated pilot projects toward an integrated AI ecosystem built for contested combat environments and rapid operational execution.

“By becoming an AI-first force, we will empower our warfighters to out-think, out-maneuver, and out-pace any adversary. This is a direct investment in our readiness, harnessing AI to accelerate decision making, enhance predictive maintenance, and optimize logistics to generate combat power more effectively and efficiently than ever before,” Air Force Secretary Troy Meink wrote in the document.

Air Force AI Priorities

The strategy identifies AI as the core enabler of decision superiority, powering Combined Joint All-Domain Command and Control (CJADC2), accelerating data‑driven operations and guiding autonomous systems.

The department will achieve its AI objectives through five building blocks:

• Establishing a secure data, technology and infrastructure foundation.
• Cultivating access to an AI-literate workforce and industry expertise.
• Fostering dynamic partnerships.
• Driving change management.
• Implementing agile AI governance and oversight.

“By establishing clear roles and investing in these five building blocks across the AI lifecycle, the [Department of the Air Force] will achieve decision superiority, operational agility and technological advantage that secures the nation’s interests in an increasingly complex world,” Meink wrote.

Multi-Level Security

Technical barriers have traditionally siloed data by classification level. The department’s AI strategy prioritizes a “cloud-to-edge” architecture that uses automated security pipelines and enterprise zero-trust frameworks to keep data fluid yet protected. This approach ensures that insights generated at the highest levels of intelligence can be pushed down to the warfighter in real time.

“The multi-level security foundation allows models built in lower classification environments to be securely elevated to higher networks, enabling scalability, interoperability and rapid capability delivery,” an Air Force spokesperson told GovCIO Media & Research.

Hardening the Architecture for the Edge

The strategy says the department must ensure the architecture survives in disconnected, intermittent and limited (DIL) bandwidth environments. The department is enforcing strict technical standards — including hardened containerization and virtualized testing — to ensure that AI tools do not fail when they lose connection, according to the spokesperson.

“The Department of the Air Force framework supports fully disconnected workloads, leveraging virtualized pathways that accurately mirror tactical edge conditions,” the spokesperson said. “This architecture integrates automated security pipelines, enterprise zero-trust architectures and robust cross-domain solutions.”

Building the Data Foundation

The strategy requires the service to build trustworthy, interoperable data foundations before AI can scale across missions. The Air Force Chief Data and Artificial Intelligence Office (CDAO) is implementing the AI strategy’s core principles while preparing AI systems to operate in the degraded and disconnected environments the Air Force expects to face.

The CDAO, according to the spokesperson, is using the War Department’s Visible, Accessible, Understandable, Linked, Trustworthy, Interoperable and Secure (VAULTIS) framework to ensure secure and reliable mission data through the connected the department’s data strategy unveiled the same day as the AI strategy.

Air Force’s CDAO is “updating requisite data policies to ensure value and relevance and developing a framework of standards and decentralized data governance structures enabling the management of data as a product,” the spokesperson added.

Additionally, the plan requires the CDAO to create accredited, common application pipelines for the entire force. The spokesperson said that the strategy creates a “federated approach” that “enables rapid, secure updates and continuous monitoring while sustaining rigorous engineering standards.”

“To prevent duplication and enforce interoperability, the architecture will integrate shared application marketplaces and curated development environments supported by an enterprise data catalog, API gateway and continuous compliance tools,” the spokesperson said.

Governance and Removing Barriers to Innovation

The strategy shifts governance from a bureaucratic hurdle to a tool to accelerate innovation. It reorients the Department of the Air Force’s Data and AI Board from a traditional risk-management posture toward a mandate of “aggressive barrier removal,” with CDAO working with other department elements to execute the War Department’s mandate to innovate at the “speed of war.”

“The DAF Data and AI Center for Excellence (CfE) will serve as the forward element in this effort, charged with actively assessing and eliminating bureaucratic friction,” the plan says. “The DAF test and evaluation (T&E) enterprise must execute their mission at the speed of war. The goal is to create sufficient evidence for a rapid fielding decision, not an exhaustive checklist that delays deployment.”

The CfE, the Air Force spokesperson added, “acts as the operational liaison across the department” to build an agile assurance framework that balances rapid fielding with “statutory rigor.” The center enables collaboration across the department, the spokesperson said.

“This collaboration ensures capabilities developed by mission owners inherently comply with CIO standards and CDAO governance without introducing traditional bureaucratic barriers,” according to the spokesperson.

Protecting the Ecosystem and Empowering Personnel

The AI strategy mandates a zero-trust model to protect this unified architecture from cyber threats and data exfiltration. To safely integrate new technologies, the plan establishes a “digital proving ground” — an isolated sandbox where vendors can be vetted without risking the integrity of operational networks.

“This isolated sandbox environment supports vendor and supply-chain risk assessments, enabling the safe integration of cutting-edge commercial and dual-use AI solutions without exposing operational networks,” the spokesperson said.

The department is also restructuring its workforce to ensure AI skills are embedded across the organization and that human-machine teaming practices are integrated into operations, according to the plan.

“By developing a mission-matching framework, the [department] will strategically align specialized talent with operational needs, incentivize retention and formally embed human-machine teaming practices,” the spokesperson said.