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Introduction

This resource summarizes the federal-level policies that shape how AI is used in U.S. K-12 schools. Federal action sits above the state and district frameworks, setting overarching priorities, grant criteria, and legal compliance obligations.
Federal AI policy is evolving rapidly. Executive orders, agency guidance, and proposed rules may be updated, supplemented, or rescinded — always verify the current status directly with the issuing agency.

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Executive Order: Advancing AI Education for American Youth

Signed: April 23, 2025
Issuing Authority: The White House
  • Promote appropriate integration of AI into education
  • Provide comprehensive AI training for educators
  • Foster early exposure to AI concepts and technology
  • Develop an AI-ready workforce and the next generation of AI innovators
Key Components:
1

White House Task Force on AI Education

Established to coordinate federal AI-in-education efforts across agencies, plan the Presidential AI Challenge, and develop public-private partnerships. The Task Force held its third meeting on December 11, 2025 and secured AI-education resource commitments from major technology firms (Google, Microsoft, OpenAI, IBM, NVIDIA, Dell, and others).
2

Presidential AI Challenge (completed)

Launched nationally by the First Lady in late summer 2025, the Challenge set a January 20, 2026 submission deadline and culminated in an inaugural National Awards Ceremony at the White House on June 9, 2026. More than 20,000 students participated across all 50 states, D.C., Puerto Rico, and Department of Defense schools, with six national champion teams recognized.
3

K-12 Resource Development

Agencies represented on the Task Force seek public-private partnerships with AI industry organizations, academic institutions, and nonprofits to develop online resources teaching foundational AI literacy and critical thinking.
4

Federal Grant Prioritization

The Secretary of Education is directed to prioritize AI in discretionary grant programs for teacher training; the Director of the NSF is directed to prioritize research on AI in education. Both directives have since produced concrete action — see below.
View the Executive Order on the White House website

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U.S. Department of Education

The Department of Education issues federal guidance and prioritizes AI in its grant programs.

AI Guidance for Schools

Federal guidance for K-12 educators on responsible AI implementation, building on the Office of Educational Technology’s prior reports on AI in education.

Grant Priority (finalized)

Following a July 2025 proposed priority and Dear Colleague Letter, the Department finalized a rule in April 2026 — effective May 13, 2026 — establishing AI as a discretionary-grant priority. Covered uses include AI literacy, age-appropriate AI/computer-science education, teacher professional development, personalized tutoring, and special-education applications.
U.S. Dept of Education AI Guidance Hub

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National Science Foundation

The NSF has been directed to prioritize research on AI in education, including studies on:
  • Effectiveness of AI tools in K-12 classrooms
  • Equity impacts of AI integration across student populations
  • Teacher professional learning models for AI
  • AI literacy curriculum design and assessment
Concrete actions: The NSF issued two Dear Colleague Letters and a program solicitation implementing the executive order, including “Expanding K-12 Resources for AI Education” (supplemental funding up to 20% of an award, capped at 300,000).TheNSFalsoannouncedan300,000). The NSF also announced an 11 million award to the Computer Science Teachers Association to support AI Professional Development Weeks for K-12 educators.

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Federal Privacy & Compliance Context

AI tools in K-12 settings must comply with the same federal student-privacy and accessibility laws that govern other educational technology.
Family Educational Rights and Privacy ActProtects the privacy of student education records. AI tools that process student records or generate outputs based on them are subject to FERPA’s disclosure, consent, and data-handling requirements.Key implications for AI use:
  • Student records may not be shared with AI vendors without consent or a permissible exception (such as the “school official” exception with vendor contract requirements)
  • Districts must maintain direct control over how AI vendors process student data
  • Parents and eligible students retain inspection and amendment rights
See: [Privacy and Security FAQ](/faq/Privacy and Security)

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Federal–State Interaction

Federal AI policy operates alongside — and sometimes in tension with — the state-level guidance that 37 states plus Puerto Rico have issued.
  • Directs the Department of Justice to challenge state AI laws the administration views as overly burdensome, and conditions some federal funding on state policy alignment
  • Followed by a March 20, 2026 legislative framework asking Congress to set a single national AI standard
  • Child-safety carve-out: both the order (§8(b)(i)) and the framework explicitly exempt state child-safety laws from preemption
  • As of June 2026 there is no enacted federal statute preempting state AI law — the effort proceeds through executive action and litigation, so state K-12 and student-protection frameworks remain in force
  • Districts navigating both layers should treat state and federal guidance as cumulative, applying the more protective standard where they overlap

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What This Means for Educators

Federal policy primarily shapes K-12 AI use through three levers:

Funding

Federal grants increasingly prioritize AI integration and educator AI training, creating financial incentives for districts to adopt aligned policies.

Compliance Floor

FERPA, COPPA, and IDEA set the legal floor for any AI tool used with students — irrespective of state or district policy.

Research & Resources

NSF-funded research and federally-developed resources (curricula, training materials) are flowing to states and districts through public-private partnerships.

National Tone

Federal executive actions set the tone for state and district decision-makers, shaping public discourse and accelerating policy development across jurisdictions.
Federal policy information current as of June 2026. The federal AI policy landscape is evolving rapidly — verify status with the issuing agency before relying on any element of this summary.
Last updated: 06-26-2026