AI Policy Wiki
Dashboard

Chief AI Officer (CAIO)

high confidence · updated 2026-06-06

Federal agency-level executive role mandated by OMB M-25-21 and its predecessors, responsible for coordinating AI governance, use case inventories, and compliance — a structural response to the proliferation of AI use across government.

The Chief AI Officer (CAIO) is a federally mandated executive role at each US federal agency, responsible for coordinating the agency's AI governance, use case inventories, and compliance with Office of Management and Budget (OMB) AI guidance. The role was formalized through a series of OMB memoranda and is codified as a requirement under OMB M-25-21 (April 2025). An interagency Chief AI Officer Council, chaired by OMB, coordinates CAIOs across agencies to share practices and advance implementation of federal AI principles.

Origin and development

The CAIO role emerged from the position that the existing Chief Data Officer, Chief Information Officer, and Chief Technology Officer roles were insufficient for the governance demands of AI systems, including risk management, bias assessment, and safety oversight.

Before 2022 there was no uniform CAIO requirement, though some agencies had AI leads on an informal basis. The Advancing American AI Act of 2022 required AI use case inventories and specified management practices. The CAIO role itself was formalized under the Biden administration through OMB M-24-10 (2024), which emphasized AI governance and risk management. It was continued under the Trump administration through OMB M-25-21 (2025), which shifted emphasis toward accelerated adoption and added a requirement to establish generative AI policies.

Mandate and responsibilities

Per OMB M-25-21 and the Advancing American AI Act (2022), the CAIO at each agency is responsible for maintaining annual AI use case inventories cataloging all current and planned AI applications; developing and publishing an AI strategy, due September 30, 2025 under OMB M-25-21; ensuring compliance with AI acquisition guidance under OMB M-25-22, which covers LLM procurement and unbiased AI principles; establishing generative AI policies, a requirement added under M-25-21; and coordinating with the CAIO Council on interagency knowledge sharing and best-practice adoption.

Implementation

GAO's September 2025 audit (GAO-25-107933) found that, as of July 2025, many agencies had not fully implemented prior CAIO-related recommendations. The audit identified incomplete AI use case inventories, noting that GAO's 2023 report had captured roughly 1,200 use cases but found their quality inconsistent. It also identified missing AI strategies, whose September 30, 2025 deadline had compliance that was uncertain. OMB declined to respond to GAO's comment request, which GAO noted given OMB's role chairing the CAIO Council. (Source: GAO-25-107933: AI Federal Efforts Guided by Requirements and Advisory Groups)

State-level adoption

The CAIO role has begun to appear at the state level. On June 4, 2026, Illinois hired Kader Sakkaria, from the private sector, as its first chief AI officer, to lead enterprise AI strategy and governance. The private-sector hire parallels the question of operating capacity raised by the federal audit, in that states, like agencies, require operating capacity rather than only a designated officer. The move came as states including those advancing Illinois SB 315, the RAISE Act, and SB 53 became a locus of frontier-AI regulation. (Source: statescoop.com; govtech.com)

Private-sector analogues

The CAIO role has private-sector analogues. Many large enterprises have created Chief AI Officer positions, though without a mandate equivalent to the federal CAIO. Private-sector CAIOs typically govern AI risk and ethics (related to AI Safety Cases and Frameworks), bridge technical AI teams and executive leadership, and interface with regulators on AI compliance. The IAPP AI Governance Vendor Report 2026 documents a growing market of tools and services supporting both federal and private-sector AI governance roles.

Relationships