Imagine a world where artificial intelligence powers every sector of the economy  from hospitals and schools to national defense and energy grids. That world isn’t science fiction. It’s the vision driving America’s AI Action Plan, one of the most consequential technology policy documents in U.S. history.
In July 2025, the White House released “Winning the Race: America’s AI Action Plan” a sweeping 25-page blueprint outlining 90 specific federal policy actions designed to secure American dominance in AI. Whether you’re a business owner, student, government employee, or a curious citizen in the USA or UK watching global tech trends unfold, this plan will affect your life in concrete ways.
This article breaks down exactly what the plan says, how the U.S. government is structured to implement it, and what real-world AI adoption inside federal agencies looks like today.
What Is America’s AI Action Plan?
America’s AI Action Plan is the official U.S. government strategy for artificial intelligence a comprehensive policy document that sets the direction for how the federal government will support, regulate, fund, and promote AI development across the country and globally.
In plain terms: it’s the United States’ official playbook for winning the global AI race.
The plan was released on July 23, 2025, by the White House Office of Science and Technology Policy (OSTP). It followed Executive Order 14179, signed by President Donald Trump on January 23, 2025, titled “Removing Barriers to American Leadership in Artificial Intelligence.” That executive order revoked many previous federal AI policies and directed the administration to build a new, forward-leaning roadmap.
The plan received input from over 10,000 public comments making it one of the most broadly consulted AI policy documents in U.S. history. Secretary of State Marco Rubio captured the administration’s tone clearly: “Winning the AI Race is non-negotiable. America must continue to be the dominant force in artificial intelligence to promote prosperity and protect our economic and national security.”
The White House Summit on AI for American Industry
Before the formal Action Plan even existed, the groundwork was laid at the White House Summit on AI for American Industry a landmark gathering that brought together over 100 senior government officials, technical experts from leading academic institutions, heads of industrial research labs, and American business leaders who are using AI to benefit their customers, workers, and shareholders.
The summit was organized by the White House Office of Science and Technology Policy and structured around four key discussion tracks:
Supporting the National AI R&D Ecosystem. Attendees examined ways to deepen public-private partnerships and accelerate AI research through America’s free-market approach, which draws on the combined strengths of government, industry, and academia.
Developing the American Workforce for AI. The summit confronted an uncomfortable reality head-on: while AI is creating new types of jobs and demand for new technical skills, many existing occupations will significantly change or become obsolete. Discussions covered STEM education, technical apprenticeships, reskilling programs, and lifelong learning initiatives.
Removing Barriers to AI Innovation. A clear message emerged: overly burdensome regulations don’t stop innovation they just move it overseas. Participants stressed the importance of maintaining American leadership and promoting AI R&D collaboration among allies.
Enabling High-Impact, Sector-Specific Applications. Industry leaders from food and agriculture, energy and manufacturing, financial services, healthcare, and transportation and logistics shared how AI is already transforming their operations. These weren’t theoretical discussions — they were real case studies of AI reshaping American business.
As Deputy Assistant to the President for Technology Policy Michael Kratsios said at the summit: “Our free market approach to scientific discovery harnesses the combined strengths of government, industry, and academia, and uniquely positions us to leverage this technology for the betterment of our great Nation.”
That summit spirit public-private collaboration, deregulation, and urgency — runs directly through everything that followed, including the Action Plan itself. A second major White House gathering in September 2025 brought together the CEOs of OpenAI, Google, Microsoft, Meta, and AMD, where leaders praised the administration’s approach and committed to massive investments in U.S. AI infrastructure.
The 3 Core Pillars of the U.S. AI Action Plan
Pillar 1: Accelerate AI Innovation
The first pillar is about removing friction from the innovation process — cutting red tape, reducing burdensome regulations, and giving the private sector the freedom to build and experiment quickly.
Federal agencies are directed to identify and eliminate regulations that slow down AI development. The plan also addresses state-level AI regulations, recommending that federal funding decisions reflect whether a state’s regulatory environment aligns with national AI priorities. As President Trump put it: “If you are operating under 50 different sets of state laws, the most restrictive state of all will be the one that rules.”
Key actions include expanding the National AI Research Resource (NAIRR), directing the NSF to lead new AI research labs, and creating testbeds for real-world AI evaluation. The plan also promotes open-source and open-weight AI models, recognizing that these “could become global standards in some areas of business and in academic research worldwide” and carry real geostrategic value.
Pillar 2: Build American AI Infrastructure
You can’t run the most advanced AI systems in the world without enormous physical infrastructure data centers, energy grids, semiconductor chips, and high-speed networks. Pillar Two is about building all of that, fast.
The administration has backed this with real money. President Trump attracted over $2.7 trillion in tech and AI investment commitments, including $92 billion in AI and energy investments in Pennsylvania alone. The Stargate project backed by OpenAI, SoftBank, and Oracle — was announced with an initial $100 billion deployment and projections of creating 100,000 American jobs.
A dedicated executive order streamlines federal permitting processes and removes National Environmental Policy Act (NEPA) barriers to data center construction. Federal land, loans, tax incentives, and grants are all being mobilized to accelerate this infrastructure push. Revitalizing domestic semiconductor manufacturing critical to powering AI is also a central priority, with the Department of Commerce directed to remove unnecessary policy requirements from CHIPS Act-funded projects.
Pillar 3: Lead in International AI Diplomacy and Security
The third pillar is geopolitical. It’s about ensuring that American AI technology not Chinese, not European becomes the global standard.
The plan establishes an American AI Exports Program, directing the Secretaries of Commerce and State to promote “full-stack American AI technology packages” abroad, covering hardware, cloud services, data pipelines, models, and applications. Allies are being encouraged to adopt U.S.-aligned export controls to protect American IP and prevent advanced AI technologies from reaching adversaries.
The plan also calls for evaluating frontier AI systems for national security risks, recruiting AI researchers to federal agencies, and building national security-related AI evaluation capabilities recognizing that AI is now as strategically important as any conventional military capability.
The NSTC Select Committee on AI: The Brain Behind the Policy
Most people have never heard of it, but the National Science and Technology Council (NSTC) Select Committee on Artificial Intelligence is one of the most important bodies shaping U.S. AI policy. Think of it as the federal government’s permanent AI strategy team.
The Select Committee was first established in June 2018 and operates as a special committee of the NSTCÂ a Cabinet-level council chaired by the President, whose membership includes Cabinet Secretaries and agency heads with significant science and technology responsibilities. It was re-chartered in January 2021 under the National AI Initiative Act of 2020 with a broader scope and re-established in January 2025 under the current administration.
Co-chairs include the Director of the Office of Science and Technology Policy (OSTP), the National Science Foundation, and the Defense Advanced Research Projects Agency (DARPA). Senior officials from the Departments of Commerce, Energy, Justice, State, Transportation, and many others also serve on the committee.
The Select Committee’s core functions include:
- Advising the White House on interagency AI R&D priorities
- Overseeing the annual coordinated interagency budget for AI
- Facilitating coordination of the National AI Research Institutes
- Creating structures to improve federal planning and coordination of AI R&D
- Leveraging federal data and computational resources across agency missions
- Identifying opportunities to prioritize and support the national AI R&D ecosystem
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Supporting the Select Committee is the AI R&D Interagency Working Group (IWG)Â formed in 2018 and now coordinating federal AI R&D across 32 participating agencies. This working group is the operational engine behind the Select Committee’s strategic direction, reporting investments to the AI R&D Program Component Area and ensuring agencies aren’t duplicating efforts.
For policy observers in both the USA and UK, this structure represents something important: the U.S. is not leaving AI strategy to chance or to any single department. It has a permanent, cross-government body with the seniority and mandate to coordinate the entire federal AI enterprise.
AI for American Innovation: A Cross-Cutting National Priority
“AI for American Innovation” sits alongside “AI for American Industry,” “AI for the American Worker,” and “AI with American Values” as one of the foundational pillars of the Trump administration’s AI philosophy. Together, these four areas define how the U.S. government frames its entire relationship with artificial intelligence.
At the practical level, AI for American Innovation means:
Backing open-source and open-weight models. The federal government is creating a supportive environment for open AI models, recognizing their geostrategic value as potential global standards in business and academic research.
Restoring American semiconductor manufacturing. The Department of Commerce is directed to streamline regulations slowing chip manufacturing, with domestic semiconductor production treated as a national security imperative.
Advancing AI in science and research. The NSF has sweeping new mandates: lead AI research labs, expand the NAIRR, develop evaluation testbeds, and invest in trustworthy and interpretable AI — all supporting AI-enabled breakthroughs across medicine, energy, and advanced manufacturing.
Building high-security AI data centers for defense. New technical standards will govern AI data centers serving the military and intelligence community, ensuring classified environments can safely use frontier AI capabilities.
Promoting an industrial renaissance through AI and robotics. The plan explicitly frames AI, robotics, and related technologies as enabling “novel capabilities in manufacturing and logistics, including ones with applications to defense and national security,” and calls for federal investment in these emerging areas to usher in “a new industrial renaissance.”
Recent U.S. Efforts on AI Policy: A Timeline of Key Moves
The pace of U.S. AI policy action has been remarkable. Here’s a clear-eyed look at the most significant developments:
January 21, 2025 — Stargate Announcement. President Trump announces the $500 billion Stargate project with an immediate $100 billion deployment to build U.S. AI infrastructure and create 100,000 jobs.
January 23, 2025 — Executive Order 14179. “Removing Barriers to American Leadership in Artificial Intelligence” revokes Biden-era AI policies and mandates development of an AI Action Plan.
April 2025 — AI Education Executive Orders. Orders 14277 and 14278 advance AI literacy for American youth and workforce readiness for high-paying skilled trade jobs.
April 3, 2025 — OMB Memorandum M-25-21. “Accelerating Federal Use of AI through Innovation, Governance, and Public Trust” requires agencies to report AI use cases and establishes governance frameworks for high-impact deployments.
July 16, 2025 — $92 Billion Pennsylvania Investment. Unprecedented AI and energy investment commitments announced during President Trump’s Pennsylvania visit.
July 23, 2025 — America’s AI Action Plan Released. Three simultaneous executive orders address data center permitting, AI exports, and federal AI procurement standards.
September 9, 2025 — White House Tech Leaders Summit. CEOs from OpenAI, Google, Microsoft, Meta, AMD, and other companies commit to massive U.S. AI infrastructure investments.
December 11, 2025 — National AI Policy Framework. New executive order establishes a federal standard for AI regulation and creates the Attorney General’s AI Litigation Task Force to challenge conflicting state laws.
April 2026 — Federal AI Use Case Inventory. OMB publishes over 3,600 individual AI use cases across 56 agencies — a 105% increase over 2024 — documenting the explosive scale-up of AI inside the U.S. government.
AI in Government: The 2025 Department of State AI Inventory
Nowhere is real-world AI adoption more visible than in the annual AI Use Case Inventories that federal agencies are now required to publish. The 2025 Department of State AI Inventory offers a revealing window into how AI is already transforming American diplomacy.
The inventory covers AI tools deployed, piloted, or in pre-deployment across State Department bureaus, reflecting the department’s vision of “empowering diplomacy through responsible AI.” Specific examples from the 2025 inventory include:
- AI Input in Translation — helping diplomats and staff work faster across language barriers
- AI-Augmented Declassification Review — automating the review of sensitive historical documents for public release
- FOIA Web ML Document Indexer — using machine learning to categorize and retrieve Freedom of Information Act documents efficiently
- Consular Affairs FaceVACS — facial recognition technology supporting visa and consular operations
- CodeGen (AI-assisted IT Application Development) — helping technical staff build internal applications faster
- CA Programmatic Insights — analyzing Consular Affairs data to support better decision-making
- BudgetChat AI Tool — an AI-assisted budgeting resource for department staff
The Department’s overarching AI strategy — established in its “Enterprise Artificial Intelligence Strategy: Empowering Diplomacy through Responsible AI” — centers on four goals: leveraging secure AI infrastructure, fostering a culture that embraces AI technology, ensuring AI is applied responsibly, and driving ongoing innovation.
The State Department is not alone. Across all agencies, the 2025 federal AI inventory documented 3,611 individual use cases — a 105% increase over the prior year. The Department of Health and Human Services led with 447 active use cases. Microsoft’s Copilot AI tool appeared in 102 government use cases, the most of any commercial product. The Department of Homeland Security has similarly refined its own AI inventory, distinguishing between “high-impact” AI deployments and standard use cases under the framework set by OMB Memorandum M-25-21.
The explosive growth in federal AI use cases is perhaps the clearest proof that America’s AI Action Plan is not just words on paper — it’s actively reshaping how the U.S. government operates.
AI Safety Policy: Governed Enablement in Practice
The Trump administration’s approach to AI safety is sometimes described as “governed enablement” enabling AI development with minimal but clear guardrails, rather than imposing heavy pre-deployment restrictions.
Key changes under the Action Plan include the revision of the NIST AI Risk Management Framework to remove DEI-related references, and the “Preventing Woke AI in the Federal Government” executive order mandating that agencies procure only AI models that are “truth-seeking” and “ideologically neutral.”
Critically, these changes to voluntary frameworks do not alter existing legal requirements. Title VII and disparate impact liability under U.S. employment law remain fully in force. Businesses deploying AI in hiring, lending, or other consequential decision-making need to maintain their compliance posture regardless of how federal AI guidance frameworks evolve.
The plan also directs critical infrastructure operators to prepare for new AI-specific cybersecurity standards, including model-specific threat simulations (“red-teaming”) and adoption of “secure-by-design” principles.
How U.S. State Governments Fit Into the Picture
State legislatures across the USA have introduced over 1,000 different AI bills, creating what the administration calls a costly “patchwork” of compliance burdens. The federal plan effectively signals that Washington intends to set a unified national standard.
Under the December 2025 executive order, the Attorney General’s AI Litigation Task Force can challenge state AI laws on grounds of unconstitutionality, federal preemption, or interference with interstate commerce. The Secretary of Commerce must publish a full evaluation of conflicting state AI laws by March 2026, and federal discretionary funding may be conditioned on states’ AI regulatory posture.
For UK-based companies operating in the U.S., and for American businesses working across multiple states, this move toward a single national framework reduces compliance complexity — even as it leaves open important questions about where federal authority ends and state consumer protections begin.
Conclusion: The AI Race Is America’s to Win — But the Work Is Just Beginning
America’s AI Action Plan is ambitious, detailed, and consequential. It represents a fundamental shift in how the U.S. government thinks about artificial intelligence not primarily as a technology to be regulated and restrained, but as a national asset to be built, deployed, and exported at scale.
The institutional machinery is now firmly in place: a Cabinet-level NSTC Select Committee coordinating AI R&D across 32 agencies, a Department of State actively inventorying and scaling AI tools for diplomacy, a White House that has convened industry summits and secured trillions in investment commitments, and a rapidly growing body of executive orders and OMB guidance translating strategy into law.
For businesses, the plan signals a more permissive federal regulatory environment, but also a more complex landscape as federal and state authorities negotiate their boundaries. For workers, it promises new opportunities in AI infrastructure and development, alongside concrete commitments to monitor displacement and fund retraining. For students and educators, it opens doors through the Presidential AI Challenge and AI literacy programs backed by the White House itself.
As the plan’s preamble puts it: AI represents “an industrial revolution, an information revolution, and a renaissance all at once.”
Want to stay ahead of U.S. AI policy developments? Bookmark AI.gov, monitor updates from the White House OSTP, and review the annual federal AI Use Case Inventories published by agencies like the State Department and DHS. Understanding the rules of the AI race and how they’re changing in real time — is now a business essential.
This article reflects publicly available information as of May 2026. Policy details are subject to change as new executive orders and agency guidance are issued.
Sources
- White House: America’s AI Action Plan (PDF)
- White House: National AI Policy Framework — December 2025
- White House: Lead the World in AI
- White House: President Trump, Tech Leaders Unite to Power American AI Dominance
- White House Archives: White House Hosts Summit on AI for American Industry
- NSTC Select Committee Charter: PDF
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