Valerie Foushee (D-NC)
AI Workforce Impact Study Act of 2026
A Democratic bill with 1 Democratic cosponsor · See the cosponsor
Last activity — Referred to the House Committee on Education and Workforce.
In committee
Introduced and handed to a committee in the chamber it started in.
The committee holds it, and most bills are never heard from again. A hearing or a committee vote would be news; silence is the usual outcome, and it kills the bill without anyone voting against it.
Its path through Congress
- Introduced
- In Committee
What this bill would do
This bill, known as the "AI Workforce Impact Study Act of 2026," directs the Comptroller General of the United States to perform a specific study. The study focuses on how artificial intelligence has impacted the United States workforce. It requires a report to be submitted to Congress within one year of the Act's enactment. The research covers the period from November 22, 2022, until the date the Act is passed. It aims to examine job losses, job creation, and how job roles are being changed.
Yes· 3 of 10
- Scored +1
Would Black Americans be better off under this?
The bill mandates data disaggregation by race to better understand impacts on minority populations.
- Scored +1
Would Hispanic Americans be better off under this?
The bill mandates data disaggregation by race to better understand impacts on minority populations.
- Scored +1
Would Asian Americans be better off under this?
The bill mandates data disaggregation by race to better understand impacts on minority populations.
The opposite
No question was scored the opposite.
Who it would affect, and how
Potential Positive Impacts for People
-
Understanding Job Losses: The study aims to estimate the number and percentage of people who have lost their jobs due to artificial intelligence (Section 2(a)(1)(A)). This could help people understand the scale of economic shifts.
-
Tracking Job Creation: The bill requires estimates on the number of people hired for new jobs created by artificial intelligence (Section 2(a)(1)(B)). This provides a clearer picture of new opportunities entering the workforce.
-
Identifying Changes in Work: The study looks at how jobs are being substantially altered, including the use of artificial intelligence to monitor or replace workers (Section 2(a)(1)(C)). This can highlight how the nature of daily work is changing.
-
Detailed Data Breakdown: The report will break down data by geographic area, industry, occupation, and demographics such as sex and race (Section 2(b)). This level of detail can show exactly which groups or regions are being most affected by these technological changes.
-
Evaluating Government Data: The study will look at the limitations of how the Federal Government currently measures these impacts (Section 2(a)(2)). This could lead to better ways of tracking important economic shifts in the future.
Potential Negative Impacts for People
- Monitoring and Replacement of Workers: The bill notes that artificial intelligence is being used to monitor and replace workers (Section 2(a)(1)(C)). This highlights a specific way that technology is currently impacting job security and worker autonomy.
Groups and Interests Ranking
Every group the model scored this bill for, from -10 to +10. Tap or hover a score for the reason it gave.
- Demographic And Interest Groups
- Would Black Americans be better off under this? — The bill mandates data disaggregation by race to better understand impacts on minority populations. Would Asian Americans be better off under this? — The bill mandates data disaggregation by race to better understand impacts on minority populations. Would Hispanic Americans be better off under this? — The bill mandates data disaggregation by race to better understand impacts on minority populations. Would Native Americans be better off under this? — The bill mandates data disaggregation by race to better understand impacts on minority populations. Would white Americans be better off under this? — The bill mandates data disaggregation by race to better understand impacts on minority populations. Would women be better off under this? — The bill mandates data disaggregation by sex to better understand impacts on women in the workforce.
- Social Issues And Justice
- Does this narrow the gap between how men and women are treated? — The study requires disaggregating data on job losses and creation by sex to identify disparate impacts. Does this narrow racial gaps in how people are treated? — The study requires disaggregating data on job losses and creation by race to identify disparate impacts.
- Economy And Finance
- Is this likely to create jobs? — The bill directs a study to track the number of individuals hired for new jobs created by artificial intelligence.
- Governance And Ideology
- Does this make what the government does easier for the public to see? — The bill increases transparency regarding how AI is affecting the workforce through a required GAO report to Congress.
- 6/24/2026
- Referred to the House Committee on Education and Workforce.
- 1 Cosponsor added.
- Introduced in House
Greg CasarDemocrat · Texas