Trump deploys $5B AI science plan, dismaying researchers

The Trump administration's $5 billion Genesis Mission initiative and the accompanying "Golden Age" science manifesto represent a fundamental recasting of how federal research funding flows in the United States. Rather than supporting universities as the traditional engines of scientific discovery, the new framework channels resources toward individual scientists and private companies while granting political appointees greater authority to block grants. This marks an explicit departure from the postwar model established by Vannevar Bush's 1945 "Science, the Endless Frontier" report—a policy that shaped decades of American research leadership by championing open-ended basic research without immediate commercial pressure.

What distinguishes this moment is not merely the policy shift but the stated justification: framing science through the lens of venture capital, startup culture, and measurable outcomes. The White House science adviser Michael Kratsios brings a background in tech policy and finance, including work at a fund run by Silicon Valley investor Peter Thiel, rather than scientific credentials. That background appears reflected in the manifesto's core assumption—that scientific breakthroughs can be accelerated by identifying promising people and projects, setting clear goals with measurable targets, and cutting work unlikely to deliver quick results. Researchers across the country say this model, however successful in technology and startups, does not align with how foundational science actually operates.

The tension is sharp: basic research often takes years or decades to yield practical value, and some of history's most important discoveries emerged serendipitously from research pursuing entirely different questions. Cutting or deprioritizing work of uncertain value—as the startup model demands—could hollow out the very capacities that made the U.S. a research superpower. One particular irony researchers highlight is that the plan emphasizes AI as a tool for discovery while simultaneously defunding universities that train the experts needed to supervise and evaluate AI-generated research. The result, as one physics professor warned, could be a situation where "AI will have a few major insights buried under mountains of slop, and the number of people with the experience and knowledge to tell the two apart may rapidly dwindle."