Latest action: Referred to the Committee on Education and Workforce, and in addition to the Committees on Science, Space, and Technology, and Ways and Means, for a period to be subsequently determined by the Speaker, in each case for consideration of such provisions as fall within the jurisdiction of the committee concerned.
Referred to one or more standing committees for review, hearings, and possible markup.
Specific committees not parsed from action data.
The committee may hold hearings, amend the bill, or let it die without action.
Next: Reported
Full chamber floor — Speaker / Majority Leader controls scheduling
Prepares American workers and students for artificial intelligence careers through education and training programs.
The problem
The U.S. workforce lacks sufficient AI skills training as demand for AI jobs grows rapidly. Schools need resources to teach AI education to prepare students for future employment.
The proposal
Creates AI education programs, workforce development initiatives, and training partnerships between schools, government, and industry to build AI skills among students and workers.
The impact
Students, workers seeking new skills, schools, and tech companies benefit through expanded AI education opportunities and a more prepared workforce ready for AI-related jobs.
The bill helps prepare American workers for high-paying AI jobs that are in short supply. This keeps skilled jobs in the U.S. instead of hiring workers from other countries.
By teaching AI in schools now, students learn valuable skills while young. This gives American students an advantage in the job market compared to students in other countries.
A workforce trained in AI makes American companies more competitive worldwide. This can lead to more tech jobs and economic growth across the country.
The bill encourages schools and companies to work together on training. This helps ensure students learn what employers actually need and want to hire.
Creating new AI education programs costs money that must come from taxpayers or other government budgets. Schools may struggle to find enough trained teachers to teach AI courses.
Well-funded schools in wealthy areas may access AI training first. Poor schools and rural areas could fall further behind, increasing education gaps between rich and poor communities.
Few teachers currently know enough about AI to teach it effectively. Training teachers to become AI instructors takes time and money that districts may not have available.
The bill provides limited information about how programs will actually work or be measured for success. Without clear guidelines, funding might be spent inefficiently or on programs that don't help students.
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.
Senate LDA lobbying disclosures
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