Federal AI Research Faces Budget Cuts, Shutdown, and Workforce Upheaval

Artificial intelligence researchers dependent on federal funding are navigating an unusually hostile landscape this spring. Three simultaneous disruptions — proposed budget cuts, the DHS shutdown, and a new workforce reclassification rule — are converging to reshape how AI research gets funded in the United States.

Budget Proposals Target AI-Adjacent Agencies

The FY2026 budget request proposes an $18 billion cut to the National Institutes of Health and a consolidation from 27 institutes down to eight. Cross-cutting research areas like AI in biomedical imaging, computational drug discovery, and precision medicine — work that sits at the intersection of multiple NIH institutes — face particular disruption during any reorganization.

The National Science Foundation, which funds core AI research through its Computer and Information Science and Engineering directorate, faces proposed reductions even as the agency continues listing AI as a priority area. At DOE, the Office of Science — which recently committed over $320 million to AI-in-science initiatives — would see its budget trimmed under the White House proposal.

Congress rejected the most drastic agency cuts in FY2026 appropriations, but the reconciliation bill still being negotiated could impose significant reductions.

Shutdown Stalls Cybersecurity AI Work

The DHS shutdown has furloughed the majority of CISA's 2,000-person workforce. CISA's AI-driven cybersecurity assessment programs — which evaluate critical infrastructure vulnerabilities using machine learning — have been suspended entirely. Organizations that were counting on CISA partnerships for AI security research are in limbo.

Grant Reviewers Under Pressure

The Schedule Policy/Career rule that took effect March 8 could reclassify program officers who evaluate AI research proposals at NIH, NSF, and DOE as at-will employees. The concern among researchers is straightforward: if reviewers face political pressure, funding could shift away from fundamental AI research toward more politically palatable applications.

What AI Researchers Should Do

Diversification is the immediate priority. The SBIR/STTR program — recently reauthorized with new $30 million Strategic Breakthrough Awards — offers a significant alternative for AI companies with defense or national security applications. Private foundations and international programs like the EU's Horizon Europe AI calls provide additional pathways. Researchers tracking federal AI funding shifts can monitor opportunities across agencies on Granted.

For continued coverage of AI research funding developments, visit the Granted blog.