AI-Related Job Impacts Clarity Act: Bipartisan Legislation for Workforce Transparency

This analysis is based on the CNBC report [1] published on November 5, 2025, which detailed the introduction of the AI-Related Job Impacts Clarity Act by Senators Mark Warner (D-Va.) and Josh Hawley (R-Mo.).

The AI-Related Job Impacts Clarity Act represents a landmark bipartisan effort to systematically track artificial intelligence’s effects on the American workforce. The legislation would require publicly traded companies, certain private firms, and federal agencies to submit quarterly reports to the Department of Labor detailing AI’s impact on employment, including job losses, new hires, reduced hiring, and other significant workforce changes [1]. This data would be compiled into publicly available reports, creating unprecedented transparency in how AI is reshaping work across the economy.

The bill emerges against a backdrop of significant AI-driven workforce disruption. Current estimates suggest AI could impact nearly 60% of jobs in advanced economies, with the World Economic Forum projecting 85 million jobs displaced by automation and AI by 2025, while 97 million new roles emerge [2][3]. Corporate actions underscore these concerns - Amazon announced 14,000 corporate job cuts in October 2025, with CEO Andy Jassy explicitly citing AI’s role in reducing needs for planning, analytics, and forecasting functions [6][7]. Overall, U.S. employers have announced 946,000 job cuts in 2025, the highest year-to-date total since 2020, with over 17,000 explicitly attributed to AI [6].

The legislation’s timing is particularly significant given the current policy landscape. While President Trump issued an Executive Order in January 2025 for “Removing Barriers to American Leadership in AI,” rescinding President Biden’s more regulatory approach [4], Congress appears to be taking a more active role in addressing workforce impacts specifically. The Warner-Hawley bill joins other 2025 legislation including S.1290 - Artificial Intelligence and Critical Technology Workforce Framework Act and H.R. 5351 - NSF AI Education Act [4][9][10].

The reporting requirements will likely reveal significant disparities across industries. Technology firms alone have shed 108,000 jobs in 2025, while retail layoffs are up 203% year-over-year as companies implement AI-driven efficiencies [6]. However, the impact may be more nuanced than simple displacement. PwC’s 2025 Global AI Jobs Barometer reveals that AI is actually making workers more valuable, with wages rising twice as quickly in industries most exposed to AI compared to those least exposed [2].

The bill faces significant methodological challenges in implementation. Companies may struggle to isolate AI’s specific impact from other factors like economic conditions or business strategy changes. Some experts suggest companies may be engaging in “AI-washing” - blaming layoffs on AI to cover up traditional cost-cutting initiatives [5]. The new reporting requirements could help distinguish genuine AI-driven transformation from other strategic adjustments.

Stanford research indicates that while overall employment continues to grow, young workers in AI-exposed occupations have experienced a 6% decline in employment since late 2022 [3]. This highlights the uneven nature of AI’s impact, with entry-level white-collar positions particularly vulnerable. Anthropic CEO Dario Amodei has warned that AI tools could eliminate half of all entry-level white-collar jobs and potentially cause unemployment to spike to 20% within 1-5 years [1].

The legislation faces several significant challenges:

• Attribution Difficulties
  : Companies may struggle to develop robust methodologies for distinguishing AI-related workforce changes from other factors
• Standardization Needs
  : The Labor Department will need to develop consistent definitions and reporting frameworks across diverse industries
• Timing Considerations
  : Quarterly reporting may not capture the gradual nature of AI integration and workforce adaptation

The bill creates several positive opportunities:

• Enhanced Transparency
  : The public database will enable industry-wide comparisons of AI adoption rates and workforce effects
• Investor Relations
  : New metrics will help assess company AI strategies and operational efficiency
• Workforce Development
  : Comprehensive data could help target educational initiatives and reskilling programs more effectively

The legislation could reshape competitive dynamics by creating pressure for companies to accelerate AI implementation while managing workforce transitions carefully. Public disclosure of AI job impacts could influence investor perceptions, particularly for companies heavily investing in automation [0].

The AI-Related Job Impacts Clarity Act represents a significant milestone in addressing workforce implications of artificial intelligence through systematic data collection and public transparency. The bipartisan legislation reflects growing recognition that understanding AI’s workforce impact is essential for ensuring technological advancement benefits society broadly.

Key stakeholders should consider:

• Corporations
  should begin developing internal tracking systems to quantify AI’s workforce impact and plan for compliance requirements
• Investors
  will gain access to novel data points for assessing company AI strategies and operational risks
• Workers and labor organizations
  will benefit from unprecedented insight into how AI is affecting employment prospects across industries

The legislation’s data-driven approach could provide the foundation for more effective policies, business strategies, and workforce development initiatives as the economy continues its AI-driven transformation. While implementation challenges exist, the bill represents a crucial step toward evidence-based policymaking in the age of artificial intelligence.