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U.S. National AI Action Plan Proposes Formalizing Interagency AI Coordination Council

TLDR: The recently unveiled U.S. National AI Action Plan recommends the formalization of the Chief Artificial Intelligence Officer Council (CAIOC) to serve as the central coordinating body for AI policy and adoption across federal agencies. This initiative aims to streamline governance, accelerate innovation, build robust AI infrastructure, and solidify America’s global leadership in artificial intelligence.

The United States government has unveiled its comprehensive National AI Action Plan, a strategic blueprint designed to cement the nation’s leadership in artificial intelligence. A pivotal recommendation within this plan, released in July and August 2025, is the formalization of the Chief Artificial Intelligence Officer Council (CAIOC) as the primary hub for interagency coordination on AI policy and adoption across federal departments.

This proposed formalization of CAIOC is intended to enhance strategic alignment across various government bodies, ensuring a consistent and efficient deployment of AI technologies in federal operations. The council’s mandate would include eliminating redundancies, promoting AI-driven efficiencies, and fostering the secure and ethical adoption of emerging AI technologies across federal systems.

Once formalized, the CAIOC is expected to collaborate closely with several key executive councils, including the President’s Management Council, the Chief Data Officer Council, the Chief Information Officer Council, the Chief Human Capital Officer Council, the Federal Privacy Council, and the Interagency Council on Statistical Policy. This collaborative framework underscores the plan’s emphasis on streamlined governance and stronger cross-agency partnerships, a core pillar of the broader AI Action Plan: Accelerating Innovation.

Despite its crucial role in the new National AI Action Plan, the current status of the Chief Artificial Intelligence Officer Council remains somewhat unclear. While initially created in 2024 under an executive order that has since been cancelled, the council has not been reconvened or publicly updated. Nevertheless, the new AI Action Plan assigns it a central coordinating role for AI adoption across federal agencies, with official word from the Office of Management and Budget (OMB) still pending.

Beyond the CAIOC, the National AI Action Plan itself is structured around three strategic pillars: Accelerating AI Innovation, Building American AI Infrastructure, and Leading in International AI Diplomacy and Security. The plan identifies over 90 federal policy actions to be undertaken in the coming weeks and months.

Key policies outlined in the plan include removing regulatory barriers to AI development and deployment, promoting open-source AI development, and driving AI adoption across various sectors. To build robust AI infrastructure, the plan focuses on scaling energy capacity, expanding semiconductor manufacturing, and constructing secure data centers, including expediting and modernizing permits for such facilities. Furthermore, it aims to strengthen export controls, counter adversarial influence, and align technology protection measures with allies to ensure U.S. leadership in international AI diplomacy and security.

The White House Office of Science and Technology Policy Director, Michael Kratsios, stated, “America’s AI Action Plan charts a decisive course to cement U.S. dominance in artificial intelligence. President Trump has prioritized AI as a cornerstone of American innovation, powering a new age of American leadership in science, technology, and global influence.” Secretary of State and Acting National Security Advisor Marco Rubio added, “America must continue to be the dominant force in artificial intelligence to promote prosperity and protect our economic and national security.”

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The plan also emphasizes upholding free speech in frontier models and updating federal procurement guidelines to ensure that the government only contracts with large language model developers whose systems are objective and free from top-down ideological bias. This comprehensive approach aims to ensure that American workers and families thrive in the AI era, making the vision a reality with urgency.

Dev Sundaram
Dev Sundaramhttps://blogs.edgentiq.com
Dev Sundaram is an investigative tech journalist with a nose for exclusives and leaks. With stints in cybersecurity and enterprise AI reporting, Dev thrives on breaking big stories—product launches, funding rounds, regulatory shifts—and giving them context. He believes journalism should push the AI industry toward transparency and accountability, especially as Generative AI becomes mainstream. You can reach him out at: [email protected]

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