The new strategy replaces Biden-era safeguards with a pro-business roadmap focused on global dominance, deregulation, and ideological neutrality in AI models.
A New Chapter in U.S. AI Policy
President Donald Trump has unveiled his long-awaited AI Action Plan, marking a major shift in federal AI strategy. Framed around three pillars—infrastructure, innovation, and global influence—the plan is both a rebuke of the Biden administration’s regulatory-heavy approach and a bold endorsement of U.S. AI dominance.
- Replaces Biden’s executive order mandating AI safety and bias checks.
- Emphasizes industry growth over regulatory oversight.
- Introduces executive orders to speed up data center construction and reduce AI restrictions.
1. Building the Backbone: Infrastructure Focus
A key part of Trump’s AI roadmap is overhauling infrastructure to support the explosive growth in AI computing needs. Central to this is a plan to streamline permitting for data centers and modernize the U.S. electrical grid to meet AI’s high energy demands.
- Data centers consume massive energy and water, raising environmental concerns.
- The administration plans to expand energy production to prevent shortages.
- Supporters view it as a pro-growth move, while critics fear the environmental cost.
This infrastructure push aligns closely with Trump’s larger goals of reshoring U.S. tech and undercutting Chinese AI advances, especially from labs like DeepSeek and Moonshot AI.
2. Fueling Innovation by Cutting Red Tape
Trump’s plan aims to limit state-level AI regulations, reviving efforts to block local AI safety laws that might hinder industry expansion. This could create a more uniform—but looser—regulatory environment across states.
- State laws on AI transparency and bias reporting are seen as “innovation blockers.”
- A federal override could stifle local safety initiatives and public accountability.
- Tech giants like OpenAI and Meta have lobbied for these rollbacks.
By easing restrictions, Trump hopes to accelerate AI R&D and maintain America’s competitive edge—but this also raises concerns about unchecked corporate power and lack of safeguards.
3. Cementing Global Influence
Trump’s third pillar is exporting American AI tools and standards globally. He plans to support the international adoption of U.S. AI models and chips, particularly from Nvidia and OpenAI, while reducing barriers for AI tech exports.
- Seen as a move to counter China’s growing AI presence.
- Ties into recent deals involving OpenAI, Oracle, and SoftBank’s Stargate data center.
- Aligns with broader national security and “tech sovereignty” goals.
Cracking Down on “Woke” AI
Perhaps the most controversial element of the AI Action Plan is a forthcoming executive order to combat so-called “woke” AI. It would require all federal contractors—including OpenAI, Google, Anthropic, and xAI—to demonstrate that their models produce neutral responses.
- Targets alleged left-leaning bias in AI chatbots.
- Opens questions around who defines neutrality and how it’s enforced.
- Critics warn it risks government overreach into speech and algorithm design.
While framed as protecting free speech and viewpoint diversity, the order could pressure developers to reengineer AI outputs based on political interpretations—potentially clashing with prior court rulings and free expression principles.
Big Tech’s Wishlists—and Civil Society’s Warnings
Trump’s AI roadmap also appears to reflect priorities from leading tech firms, which submitted policy wishlists during the plan’s public comment phase.
- Companies like OpenAI and Meta requested legal protections for training on copyrighted materials—an issue currently entangled in lawsuits.
- Meta also pushed for protections for open-source models, despite national security concerns.
- Critics argue the plan favors corporate interests, neglecting academic research and public interest protections.
In response, over 90 civil society groups unveiled the People’s AI Action Plan, demanding public-first policies that prioritize safety, equity, and democratic oversight.
What’s Missing: Safety Standards and Public Oversight
Unlike the Biden-era framework, Trump’s plan lacks concrete safety mandates for AI companies. It avoids requiring transparency, bias audits, or accountability—despite polling that shows most Americans support such safeguards.
- University research funding has also been cut, limiting independent R&D.
- With states moving forward on their own regulations, legal clashes may loom.
- Public trust in AI could be undermined without clearer accountability structures.
