OMB Memorandum M-26-04 establishes mandatory AI governance competency requirements for acquisition officers and program managers across all federal agencies.
The Office of Management and Budget released its final Memorandum M-26-04 on May 10, 2026, establishing mandatory AI governance competency requirements for federal acquisition officers, program managers, and contracting officer representatives who oversee AI-enabled procurement.
The memorandum requires that any federal employee with acquisition authority over AI systems or AI-augmented services complete a minimum 15-hour AI governance training program aligned to the NIST AI Risk Management Framework by January 1, 2027. It further mandates annual refresher training of at least 4 hours.
The policy covers a broad scope of AI procurement activities including natural language processing tools, AI-enabled cybersecurity platforms, predictive analytics for benefits administration, and autonomous decision-support systems. An estimated 24,000 federal acquisition professionals are directly subject to the new requirements.
OMB's guidance specifically references the NIST AI RMF's GOVERN function as the baseline competency standard, requiring trained officials to understand model cards, algorithmic impact assessments, and AI contract clauses covering explainability, bias auditing, and human-in-the-loop requirements.
GovAcademy's AI Governance for Public Sector Leaders course (GA-002) is fully aligned to M-26-04's competency framework. The 18-hour Executive-level course covers OMB requirements, NIST AI RMF GOVERN and MAP functions, and practical AI contract clause development for federal procurement scenarios.
The Federal Acquisition Regulatory Council has announced a corresponding FAR case to incorporate AI governance training as a responsibility criterion for contractor personnel in AI-relevant acquisitions, expanding the training requirement beyond federal employees to industry partners supporting AI programs.
The Government Accountability Office estimates that inadequate AI governance oversight has contributed to an estimated $2.3 billion in avoidable AI procurement failures over the past four years, providing the economic justification for the mandatory training investment.