The AI Acquisition Nexus: A Framework for Program Managers in the U.S. Department of War

Abstract

The Department of War (DoW) has issued an unambiguous mandate for wartime speeds of AI adoption. Secretary Hegseth’s January 9, 2026, memorandum directs the department to become an “AI-first warfighting force” through seven Pace-Setting Projects (PSPs), aggressive data access, decrees, and a 30-day AI Model Parity requirement. Simultaneously, the FY2026 National Defense Authorization Act (NDAA) establishes binding legislative requirements for AI cybersecurity frameworks, cross-functional assessment teams, and AI sandbox environments. These directives are consequential, yet both the memorandum and the NDAA are primarily top-down instruments. They establish timelines and deliverables but do not resolve the ground-level acquisition gaps that have persisted across service branches since the Government Accountability Office (GAO) first documented them in 2023. This report conducts a comprehensive analysis of the AI acquisition methods employed by the U.S. Army, Navy, and Air Force, mapping their strengths and structural limitations against the requirements of the new interoperability, Test and Evaluation (T&E) standardization, intellectual property management, workforce readiness, and AI cybersecurity. Where the 2026 directives already address an identified gap, this report proposes specific implementation mechanisms to operationalize those mandates at the service level. Where genuine gaps remain that neither the memorandum nor the NDAA addresses, this report offers nine recommendations, including a tiered assurance certification pathway, an AI Bill of Materials (AI-BOM) standard, and the integration of adversarial security testing into the operational T&E lifecycle. The framework proposed herein is designed not to replace service-level approaches but to provide the mending needed to transform isolated experiments into joint warfighting capabilities.