By all appearances, it is just another federal roadmap, a 25-page policy document printed on thick paper and unveiled by men in suits. But beneath the executive polish, America’s AI Action Plan is not merely another expression of technological ambition. It is a geoeconomic war map. It is industrial doctrine. It is a signal that the United States, under President Trump’s renewed administration, intends not to participate in the artificial intelligence race, but to win it outright.
Announced in July 2025 following the rescission of Biden-era AI guardrails, the plan outlines a comprehensive, inter-agency blitz to dominate the global artificial intelligence ecosystem across three strategic pillars: Innovation, Infrastructure, and International Security. More than 90 concrete federal actions are authorized or under review, each designed to accelerate U.S. innovation, dismantle bureaucratic bottlenecks, fund the physical backbone of the AI era, and export American technology as both tool and standard.
The AI Action Plan originates from Executive Order 14179, signed by President Trump in January 2025, overturning the prior administration’s Executive Order 14110. Where the previous regime leaned toward caution and risk management, Trump’s plan prioritizes velocity, power projection, and deregulated innovation. The stated objective is clear: global technological dominance.
Crafted by a team including Michael Kratsios (Science & Technology), David Sacks (AI & Crypto), and Senator Marco Rubio (National Security), the plan was released by the White House Office of Science & Technology Policy (OSTP). It frames AI not only as a digital tool but as a catalyst for a new industrial and information revolution. One that will reinvent manufacturing, medicine, media, energy, defense and yes, investment itself.
The geographic scope is national, but its ambition is planetary.
This pillar dismantles regulatory burdens and invites private sector dominance. It encourages open-source and open-weight models, promotes rapid enterprise adoption, and funds next-generation scientific R&D. The U.S. government will seed and scale AI applications in fields from chemistry to agriculture. It also mandates objective, bias-free LLMs in federal procurement—a controversial nod to ideology-neutral standards.
But more important than the regulatory tone is the capital signal: AI is now an eligible vector for billions in government R&D, workforce retraining, and industrial funding.
This is where the plan moves from policy to physical form. The government will use newly reformed permitting law to fast-track the construction of:
Federal land has been greenlit for development, and new Categorical Exclusions under NEPA are designed to eliminate traditional delays. Meanwhile, workforce training programs are scaling electricians, HVAC specialists, and AI infrastructure technicians as part of a deliberate labor mobilization.
This is more than a tech policy, it is a New Deal for digital infrastructure.