Congress's Great American AI Act Signals Increased Scrutiny of Workplace AI

Artificial intelligence is rapidly transforming the workplace. Employers increasingly rely on AI-powered tools to screen applicants, evaluate employee performance, forecast staffing needs, and assist with workforce planning decisions. A newly released congressional proposal suggests that federal lawmakers are closely monitoring how these technologies affect employees and employment decisions.

On June 4, 2026, Representatives Jay Obernolte (R-CA) and Lori Trahan (D-MA) released a discussion draft of the Great American AI Act, a bipartisan proposal designed to establish a comprehensive federal framework for artificial intelligence governance. It is important to note that the proposal is currently a discussion draft, not enacted law and not yet formally introduced legislation. As a result, its provisions may change substantially before Congress considers any final bill. Nevertheless, the draft provides valuable insight into the direction federal policymakers may be heading.

For employers, the discussion draft offers an important glimpse into the future of AI regulation and the growing scrutiny of workplace technologies.

Why This Proposal Matters More Than Previous AI Initiatives

Over the past several years, businesses have seen a steady stream of executive orders, agency guidance, state legislation, and local ordinances addressing artificial intelligence. Many employers now face a patchwork of evolving requirements governing AI use in the workplace.

The Great American AI Act seeks to create a national framework for AI governance. While many details remain subject to revision, the proposal signals Congress's intent to take a more comprehensive approach to regulating artificial intelligence and understanding its impact on American workers.

For employers, this is significant because federal policymakers appear increasingly focused on how AI influences hiring decisions, workforce management, and employment outcomes.

Increased Focus on AI's Impact on Workers

One of the central themes of the discussion draft is the need to better understand how artificial intelligence affects the workforce.

The proposal would expand federal efforts to collect data regarding AI's impact on jobs, occupations, and workforce trends. It also seeks to improve forecasting regarding occupations that may be substantially affected by AI adoption.

The discussion draft specifically identifies workforce impact tracking as one of its core policy objectives. According to the sponsors, the proposal would require enhanced federal data collection on AI's labor market effects and improved forecasting of occupations most likely to be affected by AI adoption. The stated goal is to provide policymakers, employers, and workers with better information regarding how artificial intelligence is changing employment patterns and workforce needs.

While these provisions may not directly regulate employers, they reflect a growing concern among policymakers regarding how AI may reshape employment opportunities and workforce needs in the coming years.

Employers should expect continued scrutiny of technologies that influence employment decisions and workforce planning.

Transparency in Workforce Reduction Decisions

The discussion draft also addresses transparency when AI plays a substantial role in workforce reduction decisions. The sponsors have highlighted a provision that would require additional transparency when artificial intelligence is a substantial factor in qualifying mass layoffs. Although the details may change as the legislation evolves, the proposal signals congressional concern about the use of automated systems in significant workforce reduction decisions.

Many organizations already use predictive analytics and workforce planning tools to assess staffing needs, productivity trends, and organizational restructuring. If future regulations require greater transparency regarding AI-assisted decision-making, employers may need to demonstrate how these tools are being used and what role human decision-makers play in the process.

Documentation and governance may become increasingly important as lawmakers and regulators examine AI's role in employment actions.

Existing Employment Laws Still Apply

Perhaps the most important takeaway for employers is that AI-related legal risk already exists, even in the absence of new federal legislation.

Employment decisions influenced by artificial intelligence may implicate a variety of existing laws, including:

• Title VII of the Civil Rights Act

• The Americans with Disabilities Act (ADA)

• The Age Discrimination in Employment Act (ADEA)

• State anti-discrimination laws

• Existing EEOC guidance regarding AI and employment decisions

Employers should remember that using AI does not eliminate responsibility for employment decisions. If an AI-powered tool disproportionately affects a protected group or screens out qualified individuals based on protected characteristics, employers may still face potential liability under existing laws.

The legal question is often not whether a human or an algorithm made the recommendation. Instead, the question is whether the resulting employment decision complies with applicable employment laws.

Balancing Innovation and Regulation

One of the more interesting aspects of the discussion draft is its effort to balance innovation with accountability. Unlike some proposals that focus primarily on restrictions, the Great American AI Act appears designed to encourage continued AI development while establishing governance mechanisms intended to promote transparency and public trust.

This balancing act is likely to shape future debates regarding workplace AI. Policymakers recognize the potential benefits of AI-driven productivity and efficiency, but they also appear increasingly concerned about fairness, transparency, and accountability when AI influences important decisions affecting employees.

For employers, this means future regulations may focus less on prohibiting AI use and more on ensuring that organizations can explain, monitor, and validate how these systems operate.

A National Framework Instead of Fifty Different Rules

One of the most consequential aspects of the discussion draft is its effort to establish a national framework for AI governance. Supporters argue that a federal standard would reduce compliance burdens and provide businesses with greater certainty by avoiding a patchwork of conflicting state requirements. At the same time, the proposal attempts to balance federal oversight with states' ability to continue regulating the use of AI in certain contexts.

For employers operating in multiple states, this debate is particularly important. Organizations currently face an increasingly complex landscape of state and local AI regulations. A federal framework could substantially change how businesses approach AI compliance and governance nationwide.

Key Employer Takeaway

The discussion draft does not prohibit employers from using artificial intelligence. Instead, it suggests that future regulation may focus on transparency, accountability, documentation, and meaningful human oversight when AI influences significant employment decisions. Employers that establish governance procedures now may be better positioned to adapt as federal and state requirements continue to evolve.

Questions Employers Should Be Asking Today

Regardless of whether the Great American AI Act ultimately becomes law, employers should begin evaluating how AI is currently being used within their organizations.

Key questions include:

• Do we use AI to screen or rank job applicants?

• Can we explain how AI-assisted employment decisions are made?

• Have we evaluated our AI tools for potential bias or adverse impact?

• What role does AI play in workforce planning and staffing decisions?

• Are our vendors providing sufficient transparency regarding their systems?

• Could we defend an AI-assisted employment decision in litigation?

• Do managers understand the limitations and risks associated with AI-generated recommendations?

Organizations that cannot answer these questions today may face increasing compliance challenges tomorrow.

Looking Ahead

The Great American AI Act remains a discussion draft, and significant changes may occur before any legislation is formally introduced or enacted. Nevertheless, the proposal clearly indicates that Congress is closely examining the impact of artificial intelligence on workers and workplaces.

From enhanced labor-market data collection and workforce-impact forecasting to increased transparency when AI substantially influences mass-layoff decisions, federal policymakers appear increasingly interested in understanding and regulating AI's effects on employment.

Whether the legislation becomes law in its current form or not, the message from Washington is becoming increasingly clear: employers should expect greater scrutiny of AI systems that influence workplace decisions.

Organizations that establish effective governance procedures, document AI-assisted decisions, evaluate employment technologies for potential bias, and maintain meaningful human oversight will be better positioned to manage legal risk and adapt to future regulatory requirements. As artificial intelligence continues to transform the workplace, proactive compliance efforts today may help employers avoid significant challenges tomorrow.