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AI Worker Rights

AI Worker Rights

Tracking Ai Worker Rights legal and regulatory developments.

14 entries in In-House Counsel Tracker

CEOs boost AI spending, and 42% plan worker upskilling to close skills gaps

Eighty percent of global CEOs have accelerated artificial intelligence investment this year, according to a new EY-Parthenon survey of 1,200 executives across 21 countries. Nearly all—99 percent—expect AI to reshape workforce strategy within three years. The acceleration is paired with concrete organizational changes: 42 percent plan upskilling and reskilling initiatives, 44 percent are redesigning roles for human-AI collaboration, and more than a third are hiring for AI, data, and digital positions.

Newsom Orders California Agencies to Plan for AI Job Disruption

Governor Gavin Newsom signed an executive order on May 21 directing California state agencies to assess and prepare for labor-market disruption from rapid AI adoption. The order requires the Government Operations Agency, Department of Technology, Department of Human Resources, and Labor and Workforce Development Agency to study potential layoffs, hiring shifts, and skills gaps across the state. The directive also instructs officials to develop recommendations for early-warning systems and worker protections, and to examine policy options including amendments to California's WARN Act, severance and transition support, workforce training programs, and worker-ownership models.

Employers Face Rising AI Workplace Bias, Privacy, and Compliance Risks

Employers are rapidly deploying artificial intelligence across hiring, promotion, and productivity monitoring—creating significant legal exposure for bias, privacy violations, and discrimination claims even as these tools promise operational efficiency. The EEOC, Department of Labor, and regulators in Illinois, New York City, Colorado, and California are actively scrutinizing the practice. Under existing anti-discrimination law, employers remain legally responsible for employment decisions made by AI systems, regardless of whether a vendor built the tool or a human made the final call.

California orders AI workforce impact reviews and worker-protection planning

California Governor Gavin Newsom issued Executive Order N-6-26 on May 21, 2026, directing state agencies to study artificial intelligence's impact on employment and develop policy recommendations to protect workers and small businesses. The order takes effect immediately but imposes no direct obligations on private employers. Instead, it launches a state-led research initiative focused on workforce disruption, retraining programs, severance requirements, and potential changes to labor policy. The Labor and Workforce Development Agency, Governor's Office for Business and Economic Development, Department of Finance, and Employment Development Department will lead the effort, working with labor organizations, employer groups, universities, and industry experts.

Amazon and Walmart workers say AI is shaping HR decisions and accommodations

Amazon and Walmart warehouse workers are raising concerns that AI systems are making or heavily influencing human resources decisions—including work scheduling, productivity assessments, discipline, and medical accommodations. The complaint crystallized around Amazon worker April Watson, who spent more than a month seeking a medically required accommodation following a concussion. Watson says Amazon's internal AI assistant failed to provide the correct form and she could not reach a human HR representative to resolve the issue.

Colorado replaces 2024 AI law with narrower employer-focused disclosure rules

Colorado Governor Jared Polis signed SB 26-189 on May 14, 2026, replacing the state's 2024 AI law with a narrower framework. The new statute centers on transparency, notice, human review, and data correction for automated decision-making in consequential decisions, including employment. The effective date moves to January 1, 2027. The rewrite abandons the original law's broad risk-management, impact-assessment, and bias-audit requirements in favor of a disclosure-focused approach.

Newsom orders California agencies to study AI’s labor and layoff impacts

Governor Gavin Newsom signed Executive Order N-6-26 on May 21, 2026, directing California state agencies to assess and respond to artificial intelligence's economic and workforce impacts. The order took effect immediately and requires the Employment Development Department to build AI employment-impact analysis, including a public dashboard powered by unemployment insurance data. The state is also reviewing potential updates to California's WARN Act mass-layoff notification rules. Industry partners and researchers have been asked to supply labor-market data, best practices, and policy recommendations to inform the state's response.

Connecticut enacts SB 5, new AI workplace disclosure and bias law

Connecticut Governor Ned Lamont is expected to sign Senate Bill 5, the Connecticut Artificial Intelligence Responsibility and Transparency Act, a sweeping employment law that restricts how companies can deploy automated decision-making in hiring, promotion, discipline, and termination. The bill passed the House 131-17 and the Senate 32-4 on bipartisan votes. The law's employment provisions create two compliance windows: beginning October 1, 2026, employers can no longer use automated tools as a defense against discrimination claims, and WARN Act notices must disclose whether layoffs involve AI or technological change. Starting October 1, 2027, employers using AI that interacts with applicants or employees must provide plain-language disclosure that the person is communicating with an automated system, along with pre-decision notices describing the tool, underlying data, and employer contact information.

New York Enacts AI Digital Replica Laws for Fashion Models Effective June 2026

New York has enacted sweeping restrictions on synthetic performers in fashion and beauty advertising. Governor Kathy Hochul signed two bills into law on December 11, 2025—the Fashion Workers Act (S9832) and synthetic performer disclosure laws (S.8420-A/A.8887-B)—that take effect June 19, 2026. The laws require explicit consent from human models before their likenesses can be replicated digitally and mandate clear disclaimers whenever AI avatars appear in advertisements. Violations carry fines of $500 to $1,000. The New York Department of Labor will oversee model agency registration by June 2026. These rules arrive as brands including H&M plan to deploy digital twins for marketing, and virtual models like Shudu and Lil Miquela compete directly with human performers for contracts.

Costco CEO says AI will assist workers, not choose products or replace buyers

Costco CEO Ron Vachris stated publicly that the retailer is deploying artificial intelligence in a limited, assistive capacity and will not permit the technology to make purchasing decisions or conduct employee evaluations. Speaking at the Economic Club of Chicago, Vachris said AI is currently supporting operations in pharmacy, gas stations, accounting, IT, and inventory systems, but emphasized: "I don't see AI making choices on items for Costco." The company is approaching AI adoption in what Vachris characterized as "a very Costco way"—practical, member-focused, and tied to measurable business value rather than technological trend-chasing.

Connecticut enacts new AI rules for hiring, promotion, and layoffs

Connecticut has enacted SB 5, the Artificial Intelligence Responsibility and Transparency Act, imposing new compliance obligations on employers who use automated systems in hiring, promotion, discipline, and termination decisions. Governor Ned Lamont signed the bill into law. The statute creates disclosure and human-oversight requirements designed to prevent "set-and-forget" automation in employment decisions. The Connecticut Department of Labor will enforce new layoff-disclosure requirements tied to WARN notices, and the law strengthens liability exposure under the state's employment-discrimination statutes.

Opinion | Pope Leo’s AI Manifesto

Pope Leo XIV published Magnifica Humanitas, his first major encyclical on artificial intelligence, positioning AI as a moral and social question rather than a technical one. The document argues that AI systems must remain subordinate to human dignity, work, freedom, and responsibility, and warns that current deployments risk eroding human agency, intensifying surveillance, and concentrating power. The encyclical addresses Catholics, governments, developers, employers, and institutions shaping AI policy, and assigns responsibility across the entire AI lifecycle—from designers and developers to those who deploy systems for consequential decisions. The Vatican calls for Catholic social-doctrine principles including subsidiarity, solidarity, justice, and the common good to guide AI governance.

Newsom orders California agencies to study AI layoffs and worker protections

California Governor Gavin Newsom signed Executive Order N-6-26 on May 21, 2026, directing state agencies to assess how artificial intelligence will disrupt employment and to recommend worker protections, training programs, and policy changes. The order does not immediately bind private employers to new obligations, but it initiates a formal state review that will likely shape future legislation and regulation.

Illinois delays public hearing on AI workplace notice rules as compliance law looms

Illinois' Department of Human Rights postponed a June 10 public hearing on proposed rules implementing the state's AI-in-employment notice requirements under Public Act 103-0804. The rules would establish when employers must disclose their use of artificial intelligence in hiring and other employment decisions, and what those disclosures must contain. The law itself took effect January 1, 2026, and prohibits employers from using AI in ways that discriminate against protected classes across recruitment, hiring, promotion, discipline, discharge, training, and other employment actions. The postponement came after IDHR published proposed amendments in mid-May and opened the formal comment period; the agency cited ongoing coordination with other state agencies as the reason for the delay.

LawSnap Briefing Updated May 6, 2026

State of play.

  • The WGA's four-year ratification sets the AI-in-entertainment labor benchmark. The WGA West and East ratified a four-year deal with 90% approval, building on 2023 AI protections and clearing the path for SAG-AFTRA and Directors Guild negotiations where AI terms will be the central issue .
  • Worker AI-adoption is outrunning employer training investment. An American College of Education survey found 63% of U.S. workers use AI to develop skills their employers have not formally trained them on, while only 36% report adequate employer-provided AI training — a gap that creates direct employer liability exposure for errors and compliance failures .
  • The EEOC has produced its first major DEI enforcement action, a $500,000 settlement signaling that the agency's reverse-discrimination posture is moving from warning letters to concrete enforcement against employer DEI programs .
  • Multiple states have enacted 2026 employment law changes on wages, leave, and AI, creating a patchwork compliance environment that multinational and multi-state employers must now navigate simultaneously .
  • For counsel advising employers on workforce AI strategy, the practical baseline is a three-front exposure: liability for unsupervised worker AI use, union contract AI provisions setting cross-industry benchmarks, and state-level AI employment mandates arriving without federal coordination.

Where things stand.

  • Entertainment AI labor terms are being set through collective bargaining, not legislation. The WGA's 2023 strike produced the first AI protections in a major guild contract; the 2026 four-year deal builds on those gains, and the specific AI provisions — not yet fully public — will benchmark SAG-AFTRA and Directors Guild negotiations .
  • State employment law is the primary AI-at-work regulatory vector. Multiple states have enacted 2026 changes covering wages, leave, and AI-specific workplace requirements, with no federal framework coordinating the patchwork .
  • EEOC DEI enforcement has shifted from advisory to settlement. The agency's first major DEI enforcement action — a $500,000 settlement — follows a pattern of Fortune 500 warning letters and signals an active enforcement posture against programs the agency characterizes as discriminatory .
  • Private-sector AI displacement support is filling a federal policy vacuum. The Fund for Guaranteed Income's AI Dividend pilot provides $1,000 monthly stipends to AI-displaced workers; Brookings Institution research identifies entry-level and administrative roles as most vulnerable, with 15 million recent graduates in AI-exposed positions, while federal programs operate at insufficient scale .
  • Older worker AI adoption is bifurcating into upskilling and exit. A growing cohort of workers is opting for early retirement rather than AI retraining, while research on crystallized intelligence challenges age-biased performance metrics — both dynamics sharpening ADEA exposure for employers using speed-based evaluation criteria .
  • Worker ownership models are gaining policy traction as an AI-inequality response. ESOP and cooperative structures are being positioned as mechanisms to redirect AI-driven productivity gains to workers; KKR's broad-based equity programs across 84 portfolio companies are cited as proof of concept, with an estimated $10 trillion in boomer business transfers creating a near-term policy window .
  • Biglaw associate attrition has reached a structural inflection. The NALP Foundation reports 83% of departing associates left within five years — a record — with associates of color leaving at 25% versus 16% for White associates, despite 8.2% salary increases; replacement costs for a third-year associate exceed $1 million .
  • Manosphere ideology is migrating into professional workplace culture. Researchers at the University of Oregon and Data & Society are tracking the shift of hierarchical online language into LinkedIn and internal company communications, with particular exposure in tech — a vector for hostile work environment and discrimination claims as DEI programs retract .
  • Dutch flexible working law is evolving beyond its 2016 parameters. A 2026 Littler analysis flags emerging interpretations around on-call arrangements and structural overtime presumptions under the Netherlands Flexible Working Act, with silence constituting acceptance of employee requests — material for counsel advising multinationals with Dutch operations .

Latest developments.

  • WGA West and East ratify four-year deal with 90% approval; AI protections and residuals provisions not yet fully public but will benchmark SAG-AFTRA and Directors Guild negotiations .
  • American College of Education survey: 63% of workers use AI for self-directed skill development without employer training; only 36% report adequate employer AI training; Jobs for the Future survey finds only 39% of workers optimistic about AI's employment impact .
  • Fund for Guaranteed Income launches AI Dividend pilot — $1,000 monthly stipends for AI-displaced workers — as private-sector response to federal program inadequacy .
  • EEOC produces $500,000 DEI enforcement settlement, its first major action under the current enforcement posture .
  • NALP Foundation: 83% of departing associates left within five years, a record high; associates of color departing at 25% versus 16% for White associates .
  • Multiple states enact 2026 employment law changes on wages, leave, and AI .
  • Workers opting to retire rather than adopt AI — a documented cohort response to AI workplace pressure .
  • Crystallized intelligence research challenges age-biased performance metrics; U.S. workforce is 35% workers aged 50 and older .
  • Manosphere terminology documented in LinkedIn and internal company communications; researchers tracking cultural shift as DEI programs retract .
  • Fortune Brands CEO departs after mandatory relocation triggers mass employee exits; successor never assumed role after activist investor intervention; $18.4 million payout to non-starting CEO .
  • Dutch Flexible Working Act interpretations expanding under 2026 Littler analysis — on-call and overtime presumption questions in flux .
  • ESOP and cooperative ownership models positioned as AI-inequality policy response; KKR equity programs cited as proof of concept .
  • AngelAi white paper proposes "human-first" AI talent model for regulated fintech, emphasizing skills-based hiring and documented competency assessments .

Active questions and open splits.

  • What AI protections will SAG-AFTRA and the Directors Guild extract, and will they set cross-industry benchmarks? The WGA's 2026 deal built on 2023 AI gains, but the specific AI provisions remain unpublished; actor and director negotiations will test whether guild leverage translates to stronger AI use restrictions or revenue-sharing .
  • What employer liability attaches when workers self-direct AI learning without adequate training? The gap between worker AI adoption (63%) and employer training investment (36% adequacy) is documented but no court or agency has yet defined the standard of care for employer AI training obligations .
  • How far will EEOC DEI enforcement extend beyond the initial settlement? The $500,000 settlement is the first major action; whether it signals a pattern of enforcement against specific program types — or is a one-off — will determine how aggressively employers need to restructure existing DEI initiatives .
  • Does mandatory relocation constitute constructive dismissal or trigger WARN Act obligations? The Fortune Brands pattern — mass departures following headquarters relocation, disputed retention metrics, leadership instability — raises questions about whether courts will treat coordinated relocation-driven exits as employer-initiated separations .
  • Are speed-based performance metrics creating ADEA exposure as AI reshapes job requirements? The crystallized intelligence research and the early-retirement-over-AI-adoption pattern together suggest employers using AI-speed benchmarks to evaluate older workers face a sharpening discrimination theory .
  • Does manosphere workplace language constitute a hostile work environment absent explicit harassment? As DEI programs retract and hierarchical online terminology migrates into professional settings, the question of whether cultural-ideological language creates actionable hostile environment claims — without specific targeted conduct — is unresolved .
  • Will state AI employment mandates produce a compliance patchwork that demands federal preemption? Multiple states have enacted 2026 AI-at-work requirements without federal coordination; the threshold at which multi-state employers seek federal preemption or uniform standards is approaching .

What to watch.

  • Publication of the WGA 2026 deal's AI-specific provisions — the benchmark for SAG-AFTRA and Directors Guild negotiations and potentially for non-entertainment union contracts.
  • Whether the EEOC's $500,000 DEI settlement is followed by additional enforcement actions or expanded to new program types, and how EEOC Chair Andrea Lucas characterizes the enforcement posture.
  • Whether the AI Dividend pilot and similar private programs generate legislative proposals for expanded federal AI displacement support — particularly any WIOA or Trade Adjustment Assistance reform proposals.
  • Additional state AI employment law enactments in 2026 and whether any state adopts a comprehensive AI-at-work framework that becomes a model for others.
  • Litigation testing whether mandatory relocation programs trigger constructive dismissal, WARN Act, or benefits continuation obligations — the Fortune Brands pattern is a live fact pattern.
  • Whether ADEA litigation begins to incorporate AI-speed performance metric arguments as the older-worker retirement-over-AI-adoption cohort grows.

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