Sponsors (2)
The bill uses large, U.S.-focused prizes and coordinated public datasets to accelerate AI-driven scientific and medical breakthroughs (notably for cancer) and boost domestic commercialization, while raising trade-offs including federal cost, exclusion of some international collaborators, equity concerns favoring well-resourced competitors, dataset privacy/dual-use risks, and added administrative burdens.
Scientists and researchers nationwide gain publicly listed, high-value datasets and shared resources that accelerate AI-driven breakthroughs on foundational scientific problems and reduce duplicated effort.
Researchers and innovators receive targeted prize funding across 16 priority AI areas, creating incentives and resources that can speed R&D and spur technological breakthroughs.
Patients and health systems stand to benefit from a mandated AI cancer grand challenge that funds winners (minimum $10M) to drive advances in diagnostics and treatments.
Publishing large, high-value scientific datasets risks exposing sensitive information or enabling dual-use misuse if privacy and security protections are insufficient.
Restricting prize winners and recipients to U.S.-incorporated entities and U.S. citizens/permanent residents may exclude international talent and collaboration, reducing global cooperation and potentially slowing progress.
Taxpayers face increased federal spending and opportunity costs from large cash prizes (e.g., $10M minimum for some winners and authority for much larger prizes).
Based on analysis of 3 sections of legislative text.
Creates an NSF-run AI Grand Challenges prize program and requires OSTP to coordinate publication of datasets and challenge problem statements for AI-enabled foundational science problems.
Introduced February 9, 2026 by Ted Lieu · Last progress February 9, 2026
Creates a federal program run by the National Science Foundation to fund and run large-scale AI "grand challenge" prize competitions that target measurable problems across many sectors (health, energy, environment, national security, etc.). The Office of Science and Technology Policy must coordinate agencies and publish shared datasets and problem statements for AI-enabled foundational science challenges, including a required cancer-focused AI challenge. The NSF program will use existing federal prize authorities, set success metrics and validation protocols on Challenge.gov, coordinate with advisory bodies and other agencies, and may leverage rotating federal staff to design and implement competitions; the NSF must stand up the program within 12 months of enactment.