Latest action: Read twice and referred to the Committee on Health, Education, Labor, and Pensions.
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
Creates a unified system to track students' skills and career pathways from education through employment.
The problem
Students and workers lack clear connections between education, skills training, and job opportunities. Career guidance is fragmented across different programs and agencies.
The proposal
Establishes a longitudinal data system linking educational records, skills assessments, and employment outcomes to help students make better career decisions.
The impact
Students, educators, employers, and workforce agencies gain better visibility into skill development and job market needs to improve career preparation.
Students can see clearer pathways between education programs and actual jobs. Schools and counselors get better data to guide students toward careers that match their skills and interests.
Employers can identify talent gaps and connect with trained workers more easily. This helps reduce unemployment and matches skills to job openings faster.
Schools and training programs can track whether their graduates succeed in jobs. This incentivizes programs to improve quality and focus on skills employers actually need.
A coordinated workforce system helps the economy compete globally by developing talent more efficiently and reducing skills mismatches.
Tracking students' educational and employment data creates a large personal database. This raises questions about who can access the information and how it might be used.
Building and maintaining a national data system requires significant government spending. Schools and agencies must invest in new technology and training.
Large centralized databases are targets for hackers. A breach could expose sensitive information about millions of students and workers.
Data-driven guidance might steer students toward specific careers based on algorithms. This could limit exploration and disadvantage students from underrepresented groups.
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 · 2024 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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