Latest action: Referred to the House Committee on Education and Workforce.
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
Requires a government study on how AI affects American workers and jobs.
The problem
AI technology is growing rapidly, but there is little data on how it will change employment, job skills, and worker training needs across different industries.
The proposal
The bill directs the government to conduct a comprehensive study examining AI's impact on the workforce, including job loss, job creation, skill requirements, and recommendations for worker support programs.
The impact
Workers, employers, educators, and policymakers will gain data to understand AI job effects and plan training and support programs for affected workers.
A detailed study provides lawmakers with facts about AI's real impact on jobs. This helps them create better policies and training programs. Decisions based on data are usually more effective than guessing.
Understanding which skills will be in demand helps workers and schools prepare. People can learn new skills before their jobs change. This reduces job loss shock and helps people transition smoothly.
Companies need to know how AI will change their workforce needs. This study helps them plan hiring, training, and reorganization. Better planning reduces sudden job cuts and business disruption.
The study can show which workers and industries are most at risk. This helps target support programs to people who need help most. Focused help is more effective than general programs.
Studies take time to complete and release results. Meanwhile, AI is already changing jobs. By the time the study is done, some workers may already be displaced without help.
A study alone doesn't fix the problem. Congress would still need to pass additional laws to help workers. The study might be completed but ignored, wasting money and time.
Conducting a comprehensive study requires taxpayer funding. Money spent on the study cannot be used for other programs. The cost-benefit of studying versus directly helping workers now is unclear.
Workers worried about AI may not wait for study results. They might leave jobs or industries now, creating unnecessary turnover. Fear and uncertainty during the study period could harm the economy.
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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