US President Donald Trump is expected to unveil new policy guidelines for AI in the coming days.

The focus will be on reducing regulatory barriers and expanding energy infrastructure for data centers.

The “AI Action Plan” will encourage congress to consider federal legislation that may override state-level oversight of AI technologies.

Sources indicate that the plan will primarily consist of executive branch actions rather than a comprehensive strategy.

Trump is anticipated to sign several executive orders to enact parts of the plan. This aims to accelerate AI development and the global adoption of US technologies.

The blueprint highlights fostering innovation, promoting independent evaluation of AI risks, and supporting international partnerships to establish global standards.

Additionally, the plan will include measures to secure US hardware and software from foreign adversaries.

The White House Office of Science and Technology Policy has been consulting with industry stakeholders but has not yet commented on the details of the plan.

🔗 Source: Bloomberg

🧠 Food for thought

1️⃣ Contrasting US-EU approaches reveal deeper philosophical divides on technology governance

Trump’s AI deregulation plan continues a distinctly American approach that differs significantly from the EU’s comprehensive framework.

The US has historically favored a decentralized, sector-specific regulatory approach where agencies adapt existing laws to AI without new legal authorities, avoiding a one-size-fits-all solution 1.

In contrast, the EU’s AI Act establishes centralized rules for high-risk applications and emphasizes public transparency requirements across all AI systems 1.

This divergence reflects broader differences in governing philosophy: the US prioritizes innovation and market competition while the EU emphasizes precautionary principles and citizen protections 2.

The regulatory gap creates challenges for companies operating globally, who must navigate conflicting compliance requirements while the world’s two largest markets pursue increasingly different visions of AI governance.