AI Grand Challenges Act of 2026
- Bill Number
- S. 3809
- Origin Chamber
- Senate
- Congress
- 119th Congress, Session 2
- Policy Area
- Science, Technology, Communications
- Status
- Introduced
- Latest Action
- 2026-02-09: Read twice and referred to the Committee on Commerce, Science, and Transportation.
- Last Updated
- 2026-05-21T20:41:58Z
AI-Generated Summary
Purpose
The AI Grand Challenges Act of 2026 authorizes the Director of the National Science Foundation (NSF) to create a program that identifies major problems ("grand challenges") in artificial intelligence (AI) and offers competitive prizes to encourage research, development, and practical applications. The goal is to drive innovation in AI to solve real-world issues across various sectors, benefiting the United States through science and technology advancements.
Key Provisions
- Program Establishment: Within 12 months of enactment, the NSF Director must set up the "AI Grand Challenges Program" in coordination with the National Artificial Intelligence Advisory Committee. This program uses existing prize competition rules from the Stevenson-Wydler Technology Innovation Act of 1980 (a law that allows federal agencies to run prize contests to spur innovation).
- Grand Challenges Categories: Prizes target AI solutions in areas such as:
- National security and cybersecurity.
- Health, energy, environment, transportation, agriculture, education, manufacturing, space, quantum computing, materials science, supply chains, disaster preparedness, and natural resources.
- Cross-cutting AI issues like safety, privacy, transparency, and reducing bias.
- Selection Process: The NSF Director consults with the Office of Science and Technology Policy (OSTP), National Institute of Standards and Technology (NIST), Defense Advanced Research Projects Agency (DARPA), other federal agencies, and the public to select challenges. Each challenge includes clear problem statements, success metrics, and evaluation benchmarks, published on NSF and Challenge.gov websites (a government platform for prize contests).
- Mandatory Cancer Challenge: Within 1 year, NSF must launch at least one prize competition focused on AI for cancer detection, diagnostics, treatments, or other innovations to improve life expectancy and quality for cancer patients. This requires at least $10 million in prizes per winner.
- Eligibility and Judging: Participants must be U.S. citizens, permanent residents, or U.S.-based private entities. Judges can include private sector experts.
- Prize Details: Minimum $1 million cash prizes per winner (except for the cancer challenge), with options for larger prizes (over $50 million) or non-cash awards. NSF can seek funding from federal, state, local, tribal governments, businesses, and nonprofits, but donors cannot influence winners.
- Implementation Support: NSF staff from its Rotator Program (temporary experts) can help run the program. NSF may learn from successful prize models by agencies like DARPA or NASA, or private groups.
- Reporting and Accessibility: NSF must notify Congress within 60 days of each prize award, detailing the winner and benefits. Biennial reports to Congress cover program activities, competitions, and public outreach, made publicly available online. All active prizes are listed on Challenge.gov.
- Data Coordination: The OSTP Director must coordinate federal science-funding agencies to publish datasets for AI grand challenges that address major scientific problems.
Significant Changes to Existing Law
- Expands the NSF's authority under the Stevenson-Wydler Act to focus specifically on AI grand challenges, adding a structured program with mandatory categories and a dedicated cancer initiative.
- Introduces requirements for public input, detailed metrics, and interagency coordination (e.g., with OSTP and NIH for cancer), which were not AI-specific before.
- Allows larger prizes and broader funding sources without creating new mandatory appropriations, building on but not altering core eligibility rules (e.g., U.S.-only participants).
Potential Impacts
- On Government Agencies: NSF gains a formalized role in leading AI innovation prizes, potentially streamlining federal efforts in AI R&D across agencies like DARPA, NIST, and NIH. OSTP's data coordination could improve resource sharing for scientific datasets.
- On Citizens: Could accelerate AI-driven solutions for public needs, such as better cancer treatments, safer cybersecurity, environmental protections, and educational tools, leading to improved health, security, and economic opportunities.
- On International Relations: Emphasizes U.S.-based innovation and eligibility, which may strengthen U.S. leadership in AI but limit global participation, potentially affecting international collaboration on shared challenges like climate or health.
Main Stakeholders Affected
- Federal Agencies: NSF (lead), OSTP, NIST, DARPA, NIH, and others involved in science funding and AI policy.
- Researchers and Innovators: U.S. individuals, universities, startups, and companies eligible to compete for prizes.
- Private Sector and Nonprofits: Businesses and organizations that can participate, fund prizes, or provide judging expertise.
- Public and Underserved Groups: Citizens benefiting from AI advances in health, education, agriculture, and disaster response; public input shapes challenges.
- Congress: Receives reports and oversees implementation through committees like Commerce, Science, and Transportation.
Notable Legal, Constitutional, or Political Implications
- Legal: Relies on existing prize authorities to avoid new regulatory burdens, ensuring compliance with federal procurement and eligibility rules (e.g., U.S.-only to align with national security interests). No direct constitutional issues, as it promotes innovation under Congress's commerce and spending powers.
- Political: Bipartisan sponsorship (by Senators Booker, Rounds, and Heinrich) signals broad support for AI investment without large new spending. Emphasizes "ambitious but achievable" goals to balance innovation with feasibility, potentially influencing future AI policy by prioritizing public-private partnerships and transparency in bias/safety issues.
This summary was generated by AI and may contain inaccuracies. Refer to the official source document for the authoritative text.
Sponsor
Cosponsors (2)
Sen. Rounds, Mike [R-SD], Sen. Heinrich, Martin [D-NM]
Recent Actions
- 2026-02-09: Read twice and referred to the Committee on Commerce, Science, and Transportation.
- 2026-02-09: Introduced in Senate
Bill Versions
- AI Grand Challenges Act of 2026 — issued 2026-02-09 — PDF (11 pages)