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California Governor Gavin Newsom signed a new executive order in May 2026 that aims to protect workers from job loss tied to artificial intelligence while helping the state benefit from AI-led growth. The move marks a shift in how governments approach AI policy. Instead of focusing only on rules for AI systems, California now wants to prepare for how AI may reshape jobs, wages, and worker security.

The order stands out because it asks state agencies to study AI-driven layoffs and labor changes before those disruptions grow larger. It does not create new laws for employers today. It starts a review process that could shape future labor policy.

What does the Order require?

The executive order directs California’s Labor and Workforce Development Agency, along with other state bodies, to examine how AI may affect the labor market.

The review will look at which jobs face the highest risk from automation. It will also study which groups of workers may face the greatest exposure. This includes analysis by industry, occupation, and demographics.

State agencies must review current worker protections and decide whether stronger safeguards are needed. Areas under review include severance standards, unemployment insurance, and support programs for workers who lose jobs because of AI- changes.

The order also calls for an “AI playbook” for workforce development. The goal is to update job-training systems so displaced workers can find retraining, technical help, and paths into new roles.

Focus on Worker Wealth and Shared Gains

A key feature of the order is its focus on how workers can share in the economic value created by AI.

California agencies must explore models that give workers a stronger stake in business success. These include employee ownership structures and cooperative business models.

The order also asks agencies to study wider access to stock or equity compensation. It raises ideas that resemble universal basic capital, where workers gain a financial share in productivity growth.

Other concepts under review include job subsidies, subsidized employment programs, and support measures tied to AI- layoffs.

The message is clear: if AI boosts productivity and profits, workers should not sit outside those gains.

Lessons From Unions and Collective Bargaining

The executive order also turns to labor agreements for practical guidance.

State agencies must study how unions and collective bargaining agreements have handled AI use in workplaces. Some labor contracts already include rules on automation, worker consultation, retraining, and job protections.

California wants agencies to identify what has worked in practice and consider whether those lessons can inform broader policy.

This approach signals that the state sees existing labor negotiations as a source of policy insight, not just workplace governance.

What Businesses Should Expect

For employers, the order does not impose new legal duties right away.

Instead, it launches a review period that will run for roughly 90 to 180 days. During that time, agencies must produce reports and policy recommendations.

Those recommendations could shape future labor reforms. Possible changes include updates to California’s layoff notice rules, similar to WARN-style laws, but tailored to AI- workforce cuts.

Businesses may also see proposals tied to labor standards, transition support, or reporting obligations connected to AI-driven restructuring.

The order also includes support for smaller firms. State agencies must provide guidance on responsible AI adoption. That guidance may cover workforce planning, training practices, and ways to manage labor impacts during AI deployment.

The Broader Policy Context

Newsom presents the order as part of a broader effort to make sure AI benefits working Californians, not only large technology firms.

The move fits into California’s wider AI strategy. In recent years, the state has advanced policies tied to AI security, privacy, and responsible government use of generative AI.

This new order extends that strategy into labor and economic policy.

The larger question behind the order is not whether AI will change work. Most policymakers now assume that it will. The debate centers on how states should respond.

California’s answer, at least for now, is preparation. The state wants data on job risks, stronger transition tools for workers, and policy options that spread the gains from AI more broadly.

Whether these reviews lead to major labor reforms remains unclear. Still, the executive order signals that California plans to treat AI-driven workforce change as a core policy issue, not a future problem to address later.