Sponsors (32)
The bill would democratize access to powerful AI compute and data and create a coordinated national resource to boost innovation and U.S. leadership, but it would raise federal costs, concentrate authority and data holdings that risk privacy and market distortion, and add administrative complexity.
Researchers, scientists, and students at more institutions gain broader access to high-performance compute and large datasets, enabling more participants to do cutting-edge AI R&D.
Small businesses and startups can access shared compute and data resources, lowering the cost barrier to developing AI products and services.
A coordinated national initiative can strengthen U.S. leadership and competitiveness in AI by pooling resources and focusing federal support.
Taxpayers and federal budgets may face substantial costs to build, operate, and fund the national AI compute and data infrastructure.
Centralizing large datasets and high-performance compute creates privacy and data‑use risks if governance, access controls, and protections are insufficient.
Concentrating selection and oversight authority in an OSTP-chaired governance structure could reduce outside input and concentrate power over who gets access and funding.
Based on analysis of 3 sections of legislative text.
Creates a NAIRR Steering Subcommittee to select an Operating Entity and oversee NAIRR plans, budgets, KPIs, resource federation, reporting, and assessments.
Introduced March 26, 2025 by Jay Obernolte · Last progress March 26, 2025
Creates a formal NAIRR Steering Subcommittee inside the federal interagency committee to oversee a National Artificial Intelligence Research Resource. The subcommittee, led by the OSTP Director, will pick members, approve the NAIRR operating plan and budget, run a competition to select an Operating Entity, set and review performance measures, produce public annual reports and evaluations, and coordinate resources from member agencies.