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Federal EEO-1 reporting may be heading for a major reset — but employers should be careful not to mistake federal uncertainty for a broader retreat from workforce pay-data obligations. The Equal Employment Opportunity Commission (EEOC) has proposed rescinding the long-standing annual EEO workforce demographic reporting rules, including the EEO-1 Component 1 report filed by many private employers and federal contractors. At the same time, several states and localities are moving in the opposite direction, adopting or expanding pay-data and demographic reporting requirements that are more granular, more jurisdiction-specific, and less dependent on the federal framework.

For multinational and multistate employers, the practical message is straightforward: do not dismantle EEO-1 data infrastructure yet. Instead, use this moment to rationalize workforce data governance, build flexibility for diverging state requirements, and ensure demographic and pay data are collected, stored, analyzed, and used in a legally defensible way.

EEO-1 Requirements

The EEO-1 framework has been part of the US employment law compliance architecture for decades. Historically, the EEOC and the Office of Federal Contract Compliance Programs (OFCCP) have jointly administered the EEO-1 Component 1 Data Collection program to monitor compliance with federal civil rights laws. Private employers with 100 or more employees and certain federal contractors with 50 or more employees have been required to file annual workforce demographic reports.

Component 1 requires covered employers to report headcount data disaggregated by race/ethnicity, sex, and job category. The Biden administration’s proposed rule to reinstate Component 2 pay data reporting — which required employers to report aggregate compensation and hours-worked data segmented by race, sex, and job category — was formally withdrawn following the change in administration and is not currently required.

What’s Changing at a Federal Level

On July 23, 2026, the EEOC issued a Notice of Proposed Rulemaking that would rescind annual EEO-1, EEO-2, EEO-3, EEO-4, EEO-5, and EEO-6 workforce demographic reporting and related recordkeeping rules. If finalized as proposed, covered private sector employers — including covered federal contractors — would no longer file routine EEO-1 reports with the EEOC. Until the EEOC issues a final rule, existing federal reporting and recordkeeping requirements remain in effect.

For federal contractors, the status of EEO-1 reporting is more complicated than for purely private-sector employers. On August 21, 2026, OFCCP published three coordinated final rules that eliminate – from a regulatory perspective – federal contractor affirmative action requirements for women and minorities and narrow contractor affirmative action requirements regarding individuals with disabilities.

Continue Reading Federal Retreat, State Expansion: The New Workforce Data Landscape for US Employers

As AI adoption accelerates across workplaces, labor organizations around the world are beginning to take notice—and action. The current regulatory focus in the US centers on state-specific laws like those in California, Illinois, Colorado and New York City, but the labor implications of AI are quickly becoming a front-line issue for unions, potentially signaling a new wave of collective bargaining considerations. Similarly, in Europe the deployment of certain AI tools within the organization may trigger information, consultation, and—in some European countries—negotiation obligations. AI tools may only be introduced once the process is completed.

This marks an important inflection point for employers: engaging with employee representatives on AI strategy early can help anticipate employee concerns and reduce friction as new technologies are adopted. Here, we explore how AI is emerging as a key topic in labor relations in the US and Europe and offer practical guidance for employers navigating the evolving intersection of AI, employment law, and collective engagement.

Efforts in the US to Regulate AI’s Impact on Workers

There is no specific US federal law regulating AI in the workplace. An emerging patchwork of state and local legislation (e.g. in Colorado, Illinois and New York City) address the potential for bias and discrimination in AI-based tools—but do not focus on preventing displacement of employees. In March, New York became the first state to require businesses to disclose AI-related mass layoffs, indicating a growing expectation that employers are transparent about AI’s impact on workers.[1]

Some unions have begun negotiating their own safeguards to address growing concerns about the impact that AI may have on union jobs. For example, in 2023, the Las Vegas Culinary Workers negotiated a collective bargaining agreement with major casinos requiring that the union be provided advance notice, and the opportunity to bargain over, AI implementation. The CBA also provides workers displaced by AI with severance pay, continued benefits, and recall rights.

Similarly, in 2023 both the Writers Guild of America (WGA) and Screen Actors Guild-American Federation of Television and Radio Artists (SAG-AFTRA) negotiated agreements with the Alliance of Motion Picture and Television Producers (AMPTP) that include safeguards against AI reducing or replacing writers and actors. WGA’s contract requires studios to meet semi-annually with the union to discuss current and future uses of generative AI—giving writers a formal channel to influence how AI is deployed in their industry. The SAG-AFTRA contract requires consent and compensation for use of digital replicas powered by AI.

Continue Reading Navigating Labor’s Response to AI: Proactive Strategies for Multinational Employers Across the Atlantic

Join our AI and Cyber CLE Series

If your last name starts with A-G, you are probably well aware that your (recently extended) MCLE compliance deadline is on March 30, 2025. In addition to the general credit requirement, the state of California requires all attorneys to complete:

  • At least four hours of legal ethics
  • At least two hours on competence issues
  • At least two hours on the elimination of bias in the legal profession and society. Of the two hours, at least one hour must focus on implicit bias and the promotion of bias‑reducing strategies.
  • At least one hour on technology 
  • At least one hour on civility
Continue Reading California’s CLE Compliance Deadline Is Approaching – We can help!

On May 17, 2024 Colorado Governor Polis signed the landmark Colorado AI Act (Senate Bill 24-205) into law. Colorado is now the first US state with comprehensive AI regulation, adopting a classification system like the European Union’s recent AI Act. The law will take effect February 1, 2026. 

The law exempts small employers (fewer than fifty full-time employees) from some of its requirements but otherwise requires companies to take extensive measures to protect Colorado residents against harms such as algorithmic discrimination.

SB 205’s Details

SB 205 requires “developers” and “deployers” of “high-risk artificial intelligence systems” to use “reasonable care” to protect Colorado resident consumers from any known or reasonably foreseeable risks of “algorithmic discrimination.” As written, the law most likely applies to both creators of high-risk AI systems, as well as employers adopting high-risk AI technologies within their organization.  

Continue Reading From Brussels to Boulder: Colorado Enacts Comprehensive AI Law with Significant Obligations for Employers on the Heels of the EU AI Act

Effective September 17, employers with four or more employees in New York state must include a compensation range in all advertisements for new jobs, promotions and transfer opportunities. A pay transparency fact sheet and FAQ document are available on the NYSDOL website with additional information and guidance on the new law. 

Overlap and City

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