American Leadership in AI Act
Sponsored By: Representative Rep. Lieu, Ted [D-CA-36]
Introduced
Summary
Federal AI research infrastructure and standards framework would build shared computing, data, and testing resources and create voluntary safety and standards guidance while boosting agency AI governance. It centers a National Artificial Intelligence Research Resource and a NIST-hosted Center for AI Standards to support researchers, agencies, and public safety.
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Bill Overview
Analyzed Economic Effects
12 provisions identified: 12 benefits, 0 costs, 0 mixed.
New civil remedy for intimate forgeries
If enacted, people harmed by nonconsensual intimate images or AI-made intimate forgeries could sue in federal court. A winning plaintiff could get actual damages or liquidated damages of $150,000 normally, and $250,000 if the conduct related to sexual assault, stalking, or harassment. Plaintiffs could also seek punitive damages, injunctions or deletion orders, and attorney fees. Suits must be filed within 10 years of discovery or the date the person turns 18, whichever is later.
Tax credit for employer training
If enacted, businesses would get a new credit equal to 50% of qualified employee cybersecurity education expenses. The credit would be limited to $5,000 per employee per taxable year and apply to taxable years beginning after enactment. Agencies would also add a 5% evaluation score boost on competitive contracts over $5,000,000 for firms that claimed this credit at least once in the prior three years.
Stronger penalties for AI crimes
If enacted, the bill would raise the mail and wire fraud monetary threshold to $2,000,000. The bill would add higher penalties when crimes use AI: AI-assisted mail or wire fraud could bring fines up to $1,000,000 and up to 20 years in prison. AI-assisted bank fraud could bring fines up to $2,000,000 and up to 30 years. AI-assisted money laundering could bring fines up to $1,000,000 or three times the value involved and up to 20 years. AI-assisted impersonation of federal officers could bring fines up to $1,000,000 and up to 3 years.
Grants and scholarships for AI training
If enacted, NSF could award competitive grants, scholarships, and fellowships to expand AI education and workforce training. Scholarships could cover tuition, fees, stipends, and professional development for up to five years. The bill would also fund up to eight Community College Centers of AI Excellence and support capacity-building at HBCUs and similar schools. The National STEM Teacher Corps would add AI skills training and consider AI best practices for high school teachers.
Protections for AI whistleblowers
If enacted, employers could not retaliate against workers who report AI security vulnerabilities or AI violations. Covered people include employees, former employees, independent contractors, and former contractors. Workers could file a Labor Department complaint or sue in federal court if no final decision is issued in 180 days. Remedies could include reinstatement, double back pay with interest, and attorney fees.
New agency AI oversight rules
If enacted, each agency head would name a Chief AI Officer within 45 days and make an AI strategy to guide safe use. Within 90 days the bill would create a governmentwide Chief AI Officers Council led by OMB. Large agencies would need internal AI coordination boards within 120 days. The Director must issue an updated directive within five years, and 90 days after that directive the AI coordination subtitle would end.
NIST standards, tests, and grants
If enacted, NIST would create a Center for AI Standards and Innovation and publish voluntary guidance on safe AI development. NIST would define AI security vulnerabilities and work to add them to the National Vulnerability Database. Within one year NIST would brief Congress and build a web portal to help industry join standards efforts. NIST would also run a pilot to help pay up to half of hosting costs for standards meetings, using up to $5 million across FY2027–2031 and a Center budget request beginning FY2027.
Department of Energy AI research funding
If enacted, the Department of Energy would run a cross-cutting AI research program. DOE would fund AI tools, energy-efficient hardware, data-center testbeds, and make national lab supercomputers available. The bill authorizes $300 million per year for FY2027–FY2032 for AI R&D and data-center energy programs.
National AI research resource set up
If enacted, NSF would create a National Artificial Intelligence Research Resource (NAIRR) within one year. NSF would run a small Program Management Office with at least three full-time staff and pick a private Operating Entity by competitive bid. NAIRR would offer compute, curated data, APIs, testbeds, and education tools and could charge fees but must include a free tier paid by appropriations. NAIRR would set NIST-aligned security rules and bar users employed by certain foreign governments.
Big NSF AI prize program
If enacted, NSF would start an AI Grand Challenges program within 12 months and award at least $1,000,000 to winners of general competitions. The law would require a cancer grand challenge that awards at least $10,000,000 to each winner within one year. Companies must be incorporated and based in the U.S. and individuals must be U.S. citizens or lawful permanent residents. NSF could accept outside support but must not consider it when picking winners.
USDA and NSF farm research grants
If enacted, USDA and NSF would fund collaborative agricultural research, food safety, precision agriculture, and workforce programs. The agencies could award grants to colleges, community colleges, technical schools, nonprofits, and consortia to create Centers for Agricultural Research, Education, and Workforce Development. They must report to Congress within two years on coordination and accomplishments.
Grants to study AI in health care
If enacted, NIH would fund grants to study generative AI in health care. Grants could support tools to speed clinical notes, reduce paperwork, speed claims processing, and improve patient access. Projects that train workers, reduce clinician burnout, or help underserved patients would get priority.
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Sponsors & CoSponsors
Sponsor
Rep. Lieu, Ted [D-CA-36]
CA • D
Cosponsors
Obernolte
CA • R
Sponsored 4/27/2026
Roll Call Votes
No roll call votes available for this bill.
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