US National AI Action Plan Proposes Central Interagency Council to Drive Federal AI Coordination

The US National AI Action Plan proposes formalizing the Chief Artificial Intelligence Officer Council to coordinate AI policy across federal agencies. This aims to streamline governance and promote ethical AI adoption.

Published on: Aug 11, 2025
US National AI Action Plan Proposes Central Interagency Council to Drive Federal AI Coordination

US National AI Action Plan Proposes Formal AI Leadership Council

The recently released National AI Action Plan from the U.S. government recommends formalizing the Chief Artificial Intelligence Officer Council (CAIOC) as the primary body for coordinating AI policy and adoption across federal agencies.

This move aims to improve strategic alignment among departments, ensuring AI technologies are deployed consistently and efficiently within government operations.

Centralizing AI Coordination

Once formalized, CAIOC is expected to work closely with several key executive councils, including:

  • President’s Management Council
  • Chief Data Officer Council
  • Chief Information Officer Council
  • Chief Human Capital Officer Council
  • Federal Privacy Council
  • Interagency Council on Statistical Policy

This collaboration supports one of the National AI Action Plan’s main goals: accelerating innovation by streamlining governance and strengthening partnerships across agencies.

Driving Efficiency and Ethical AI Use

The plan highlights the importance of eliminating duplicated efforts and promoting AI-driven efficiencies throughout federal systems. Additionally, it emphasizes secure and ethical adoption of emerging technologies.

However, the current status of CAIOC remains uncertain. Although created in 2024 under an executive order that was later cancelled, the council has not been reconvened or publicly updated. Despite this, the new AI Action Plan assigns it a key role in leading AI adoption efforts across federal agencies.

As the government moves forward, executives and strategists should watch how this council evolves and what frameworks it establishes. Aligning with these developments can be critical for organizations interacting with federal AI initiatives.

For those interested in enhancing their AI leadership capabilities, exploring specialized AI courses can provide practical skills for managing AI-driven change. Visit Complete AI Training – Courses by Job Role to find relevant learning paths.


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