Despite launching an ambitious national push to make the U.S. a global leader in artificial intelligence, recent actions by the Trump administration are creating internal contradictions that analysts say could hinder long‑term progress. Initially, the “AI Action Plan” and a flurry of executive orders signaled a strong commitment to scaling up AI infrastructure, research, and widespread adoption.
But critics argue that some of the administration’s other moves — particularly deregulation and a retreat from safety‑ and risk‑management frameworks — are at odds with the goal of building sustainable, trustworthy AI. The plan dropped many of the risk safeguards emphasized under previous administrations; for example, federal safety frameworks have been rolled back, and oversight of high‑risk AI systems appears weaker under the new policy direction.
Moreover, recent policy decisions appear to prioritize short‑term growth and technological leadership over broader stability and ethical safeguards. Some experts warn this may expose the U.S. to serious downsides — from irresponsible AI deployment to systemic risks — especially as “open‑weight” models (which are easier to reuse and repurpose) proliferate.
At the same time, a new research‑oriented initiative — the “Genesis Mission,” aimed at applying AI more broadly to scientific challenges — has been launched. While on paper it signals ambition and strategic thinking, observers say the weakened regulatory and safety foundations may already have handicapped its potential for success.
