Congress introduces bills to address AI job loss but faces a slow start

The legislative stalemate

Lawmakers on both sides of the aisle are currently trying to figure out how to manage the disruption of the American workforce caused by artificial intelligence. While the urgency of the situation is growing, the actual legislation intended to help workers is currently stuck at the starting line. Both chambers have held hearings and introduced bills, but none have moved beyond the committee referral stage.

The current situation leaves many workers without new protections or immediate federal support. Instead of new laws, the public is seeing a series of studies and discussions aimed at understanding the problem. This delay means that while the government recognizes the risk, the actual mechanisms for intervention are still being debated in Washington.

The pressure on the government comes from specific data regarding recent job losses. Research from the office of Congresswoman Valerie Foushee revealed that 54,694 positions were eliminated in 2025 due to AI factors. This figure sits against a broader backdrop of more than 1.1 million announced job cuts across the country.

Two different legislative paths

The congressional response is currently split into two distinct strategies. On the Republican side, Senator Jim Banks introduced the AI Workforce PREPARE Act on December 3, 2025. This bill is intended to focus on preparing workers for the disruptions of AI before they happen, though it has sat in the Senate Committee on Health, Education, Labor, and Pensions without amendments.

On the Democratic side, Congresswoman Valerie Foushee and Congressman Greg Casar introduced the AI Workforce Impact Study Act of 2026. This bill takes a different approach by directing the Government Accountability Office to conduct a comprehensive, retroactive study of AI's impact on the U.S. workforce since 2022. The goal here is to gather reliable data before attempting to write effective laws.

The difference between these two bills reflects a fundamental debate over how to handle the technology. One side wants to focus on proactive preparation for the future, while the other argues that Congress cannot legislate well without first understanding the damage that has already occurred. Both paths currently lack the momentum needed to become active law.

The case for measurement-first policy

A key argument for the data-heavy approach surfaced during a February 2026 House hearing. Research fellow Revana Sharfuddin argued that AI is changing work in ways that current data structures struggle to capture. She advocated for "measurement-first policymaking" to ensure that future debates over labor standards and social insurance are based on evidence rather than hype.

Congresswoman Foushee supported this logic when she introduced her bill. She stated that employees should not be left to speculate on how machine learning is influencing their careers or their livelihoods. Her goal is to identify exactly where jobs are being lost, where new opportunities are appearing, and which specific communities are being hit hardest by the shift.

In contrast, some Republican lawmakers have expressed a more optimistic view of the technology's potential. Subcommittee Chairman Rick Allen suggested that clear expectations and responsible use could protect worker rights while improving performance. His focus is on employer transparency, where companies communicate openly about how they deploy AI rather than facing new government mandates.

Current federal agency actions

While the legislative process moves slowly, the Department of Labor (DOL) has taken some administrative steps. The agency has issued guidance encouraging federal workforce funding grantees to support AI literacy and skill development. This includes a framework to guide these efforts under existing Workforce Innovation and Opportunity Act programs.

However, it is important to note that this guidance is currently voluntary. Grantees are not required to adopt these activities, and the current statutes authorizing these workforce development programs do not explicitly mention artificial intelligence. This means the DOL is providing a roadmap for literacy without changing the underlying legal requirements.

These actions align with the Trump Administration’s AI Action Plan and Talent Strategy released in mid-2025. According to a Congressional Research Service review, Congress could potentially go further by writing AI explicitly into workforce development law. This is the specific area where the PREPARE Act is attempting to operate by creating new mandates instead of just voluntary guidance.

What comes next for workers

The immediate outlook for workers is one of continued observation rather than rapid change. Both the AI Workforce PREPARE Act and the AI Workforce Impact Study Act remain in the early stages of the legislative process. Even if the study requested by Foushee and Casar is funded, it will only produce findings after the disruption to the workforce has already taken place.

Several major questions remain unanswered by the current legislative efforts. It is unclear whether the upcoming Senate hearing on July 29, 2026, will generate enough bipartisan momentum to move these bills forward. Additionally, there is no consensus on whether measurement-first policymaking can happen fast enough to help workers who have already been displaced.

Perhaps the most significant hurdle is the lack of a serious debate on funding. Congress has not yet discussed how to fund retraining at a scale that matches even the most conservative estimates of AI displacement. For now, American workers are watching a familiar pattern of hearings and studies while the hardest decisions regarding who pays for retraining remain deferred.