Latest action: Ordered to be Reported (Amended) by the Yeas and Nays: 43 - 0.
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Bill to prevent theft and unauthorized use of American artificial intelligence models.
The problem
U.S. AI technology and models are being stolen or improperly obtained by foreign competitors and bad actors, threatening American innovation leadership and national security.
The proposal
Establishes legal protections, penalties, and enforcement mechanisms to deter theft of American-developed AI models and intellectual property.
The impact
AI companies, tech workers, and the U.S. government gain stronger legal tools. Foreign entities face new penalties. American tech competitiveness may improve.
Stronger legal protections help American companies keep their AI technology from being stolen. This encourages continued investment in AI research and development within the United States.
Prevents adversaries from obtaining advanced AI technology that could threaten U.S. security. Protects military and critical infrastructure applications from foreign exploitation.
Creates defined rules and penalties for AI model theft. Gives companies and law enforcement clear standards to follow when pursuing cases.
Helps American tech companies maintain their lead in AI development. Levels the playing field against nations that may not protect intellectual property similarly.
Strict protections could discourage international academic and scientific partnerships. Researchers worried about legal issues might avoid cross-border AI projects.
Prosecuting theft of digital models that cross borders is technically difficult. Foreign actors may be hard to reach with U.S. legal penalties.
The bill may not clearly define what counts as a protected AI model. This could create legal disputes over which technology is protected.
Strong enforcement could escalate trade disputes with other countries. Other nations might respond with their own protectionist measures against U.S. companies.
Generated by AI from the bill text. Not a prediction and not legal or policy advice. The percentage is the model's own rating of each item — self-reported, and not a measure of how accurate it is.
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Individual contributions, grouped by employer · FEC
Where their individual donors work · 2026 cycle
Money from people who work there, not from the company. Not tied to this bill.
Itemized individual contributions via FEC, grouped by the employer each contributor self-reported. Companies and unions cannot contribute to federal candidates from their treasuries, so these totals are money from people who work at an employer — never from the organization itself. They are campaign contributions covering a full election cycle and are not connected to this bill.
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