The Trump administration unveiled its AI Action Plan on Wednesday, positioning AI development as a national security race against China. The 28-page document, authored by Michael Kratsios, David Sacks and Marco Rubio, outlines three pillars: accelerating innovation, building infrastructure, and leading international diplomacy. Three executive orders accompany the plan, targeting “woke” AI bias, expediting data centre permits, and promoting AI exports.
The plan’s core message is predictable: AI is critical, America must beat China, regulation hinders progress, and Silicon Valley needs freedom to innovate etc. It proposes removing “red tape”, revising NIST frameworks to eliminate diversity and climate references, and creating the classical “growth zones” with streamlined environmental approvals. A lengthy shopping list includes everything from workforce retraining, open-source promotion, and defence adoption. The reception has been mixed but surprisingly positive in some quarters. Tech companies and accelerationists praised the deregulatory stance and emphasis on infrastructure and open source. Yet like much of the current US administration’s policy efforts, the plan struggles with the realities of economics, technology, politics and ultimately physics. Deeper examination reveals unresolved contradictions that undermine its coherence.
The document insists AI will complement rather than replace workers, aligning with its “worker-first” rhetoric. Simultaneously, it proposes retraining programmes and displacement studies, essentially preparing for the job losses it claims won’t happen. Open-source AI promotion directly conflicts with preventing Chinese access to advanced technology. The plan encourages models “anyone in the world can download and modify” whilst implementing export controls and warning about adversaries “free-riding on our innovation”. It acknowledges developers decide release strategies but never reconciles this fundamental tension. The much-lauded deregulation rhetoric masks extensive new requirements: algorithm disclosures, security standards, biosecurity screenings. These are regulations by another name, potentially slowing the very innovation the plan claims to accelerate. There is much in the plan that aims to discourage state-level AI regulation that some have labelled the “de-democratisation” of AI.
But of most political concern is the concept of ideological screening. Whilst demanding “objective” and “bias-free” AI, the plan mandates alignment with “American values” and removes climate and diversity considerations. This isn’t neutrality; it’s enforcing specific ideological positions whilst claiming objectivity. The constitutional implications are not tackled. Forcing AI companies to alter outputs based on government ideology could violate First Amendment protections. As Yale’s Jack Balkin notes, AI facilitates human expression, and corporate speech enjoys constitutional protection. Government-mandated censorship, even for “anti-woke” purposes, faces legal challenges. The recent Grok saga offers a preview of the challenges ahead. Elon Musk launched xAI to build a “maximum truth-seeking” AI free from perceived liberal bias. Yet he repeatedly finds himself battling his own creation when it cites inconvenient facts. The more you constrain outputs to match political preferences, the less reliable the system becomes for actual reasoning and problem-solving.
In terms of powering this American AI age, the plan emphasises stabilising the current grid, optimising existing resources, prioritising interconnections for dispatchable power (geothermal, nuclear fission & fusion) and establishing a strategic blueprint. However, it provides few quantitative targets or details on how this will deliver material acceleration in the 2025-30 period. The physics and the competition remain unforgiving. China added 429 GW of power capacity in 2024, fifteen times that of America. In May 2025 alone, China installed an astounding 93 gigawatts (GW) of solar capacity, equating to nearly 100 solar panels every second! With data centres projected to consume up to 12% of US electricity by 2028, expedited permits won’t bridge this gap. The plan rejects “radical climate dogma” but offers no credible path to the massive clean energy infrastructure AI demands.
Takeaways: Trump’s AI Action Plan signals tech-friendly intentions but lacks substance. Its internal contradictions, constitutional risks, and energy arithmetic suggest more political theatre than actionable strategy. America’s AI ambitions require more than deregulation; they need material infrastructure investment and policy coherence which this plan doesn’t provide.