The explicit push to fund AI as a primary research instrument, alongside the 2028 quantum computing deployment target and the 10-reactor nuclear buildout by 2030, points to where a meaningful share of a $200 billion annual budget could flow, potentially a tailwind for quantum computing and AI infrastructure names, as well as nuclear and small modular reactor plays. The flip side is a headwind for the university research funding ecosystem, since large institutions that rely heavily on federal grants could see funding become less predictable if money shifts toward individual fellowships and awards. Because this is a redirection of spending priorities rather than new money, and implementation will play out over the rest of the administration’s term, the near-term market reaction is likely to be muted and concentrated in AI, quantum, and nuclear-adjacent sectors rather than broad-based.
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The White House wants federal research money following scientists and AI instead of universities, and colleges are bracing for the fallout.
Summary:
- The Trump administration plans to redirect federal research funding toward individual scientists and AI rather than universities, according to the Wall Street Journal (gated).
- The directives will shape a roughly $200 billion annual federal research and development budget for the rest of Trump’s second term, per the report.
- The plan prioritizes fellowships and awards for individuals over institutional funding, and could further hurt large universities reliant on federal grants, the Journal said.
- A proposed OMB rule would give political appointees more influence over grants and align research with administration priorities, according to the report.
- The administration set goals to deploy a powerful quantum computer by 2028 and have 10 new large nuclear reactors under construction by 2030, per the Journal.
- Skeptics cited in the report warned that AI models are prone to errors and that overemphasizing the technology could narrow the range of research pursued.
The Trump administration plans to accelerate an overhaul of federal research by directing more support toward individual scientists and artificial intelligence rather than universities, the Wall Street Journal reported, in its latest attempt to speed technological discovery in competition with China.
According to a new report and memo released Tuesday by the White House Office of Science and Technology Policy, individual scientists can help the country move faster to apply AI in scientific research, the newspaper said. The directives from the office will help shape a roughly 200 billion dollar annual federal research and development budget across government agencies for the remainder of President Trump’s second term, the Journal reported.
The new guidance could further squeeze large universities that rely heavily on federal research funding, according to the report. The administration wants to prioritize programs such as fellowships and awards that support individuals rather than institutions, citing a prestigious National Science Foundation graduate fellowship and a National Institutes of Health award for creative scientists as models it wants emulated, the Journal said. Some universities could also be constrained by a proposed Office of Management and Budget rule that would give political appointees greater influence over grants and align research funding with administration priorities, per the report.
Michael Kratsios, director of the Office of Science and Technology Policy, told the Journal that federal research funding has become stagnant, with too much money going to the same institutions in the same way for decades. Kratsios said he met with the leader of an Ivy League university on Tuesday to discuss the new approach and received a positive response, according to the report. The administration has also argued that excessive bureaucracy at both government agencies and universities has held back American research, and under its plan, individual researchers at universities would receive funding directly, reducing the role universities play as intermediaries, the Journal said.
Putting AI at the center of scientific research is another core focus, alongside more ambitious national goals such as deploying a powerful quantum computer by 2028 and having ten new large nuclear reactors under construction by 2030 to expand electricity output, according to the report. The administration has also sought to combine the Energy Department’s scientific expertise and supercomputing resources through a program called the Genesis Mission, aimed at using AI to tackle research challenges in partnership with the private sector, the Journal said. Kratsios and OMB Director Russ Vought wrote in their memo that agencies should fund research using AI as a genuine new instrument of discovery rather than simply as a tool to support existing methods, per the report. Skeptics cited by the Journal cautioned that AI models remain prone to errors and that overemphasizing the technology could narrow the range of research approaches scientists are able to pursue.
This article was written by Eamonn Sheridan at investinglive.com.
