Labor & Employment Law Daily Wrap Up, AI NEWS—Washington AI task force highlights workplace concerns, calls for worker-focused AI policies, (Jul 21, 2026)

By Patricia K. Ruiz, J.D.

The report emphasizes AI's impact on workers, while a companion survey finds widespread concerns about job displacement, workplace transparency, career advancement, and the lack of regulatory safeguards.

The Washington State Artificial Intelligence Task Force has released its final report, concluding a two-year effort to study artificial intelligence use across the state and develop policy recommendations for lawmakers and Gov. Bob Ferguson. While the report addresses a broad range of AI-related issues, several recommendations focus specifically on the workplace, worker protections, education, and workforce development. The report was released alongside a statewide survey indicating that many Washington workers view AI as a threat to job security and are seeking greater oversight of workplace AI systems.

Workforce impacts a major focus. Created by the state legislature in 2024 through Senate Bill 5838, the 19-member task force included representatives from labor, government, academia, civil-rights organizations, community groups, and the technology sector. Task force members were charged with evaluating AI's risks and opportunities and developing recommendations for responsible governance. According to Attorney General Nick Brown, the task force sought to balance innovation with protections for workers, consumers, and civil liberties as AI becomes increasingly embedded in everyday life.

Among the report's recommendations is the development of workplace AI guidelines grounded in what the task force described as "worker-centered principles." The task force found that AI is increasingly being used to screen job applicants, evaluate performance, monitor productivity, optimize schedules, and influence employment decisions. While those tools may improve efficiency, the report says they also create risks involving bias, inequitable treatment, worker surveillance, and reduced transparency.

The task force recommended creation of a multi-stakeholder advisory group composed of workers, unions, employers, business organizations, government agencies, and community representatives to develop workplace AI principles. The proposed group would establish guidance for employers and develop recommendations on when equity impact assessments should be conducted to evaluate potential effects on women, immigrants, workers of color, and other protected groups.

The report also recommends transparency and accountability requirements for workplace AI systems. Under the proposal, employers would disclose when AI is used for employee monitoring, promotion decisions, discipline, or termination. The recommendations further state that AI systems should not serve as the sole basis for consequential employment decisions and that workers should have access to information about data used in their evaluations and opportunities to challenge AI-driven outcomes.

Negative worker sentiment toward AI. The Attorney General's Office simultaneously released a survey of 582 Washington workers conducted between December 2025 and January 2026 to examine AI's impact on employment, career opportunities, and workplace practices. The survey found that 80 percent of respondents expressed negative feelings about AI in their jobs, while 68 percent believed AI was negatively affecting their industry. At the same time, 56 percent said they were encouraged by employers to use AI tools in their work.

Researchers reported that workers with the greatest familiarity with AI often expressed the highest levels of job insecurity. The survey found that 75 percent of respondents had experienced workplace changes related to AI adoption, and among workers who reported losing their jobs in the previous 12 months, 55 percent said AI was either a primary or contributing factor in their displacement. Thirteen percent said AI was the primary cause of their job loss. Most reported AI-related job losses occurred in the technology sector.

Many respondents also viewed AI as affecting workforce entry and career development. The survey found that 62 percent of employed mid-career workers reported concerns about reduced intern hiring, disappearing junior-level positions, and declining entry-level opportunities. Respondents frequently cited fears that AI systems are replacing work traditionally performed by newer employees, limiting pathways into certain professions.

Workers seek training but face obstacles. The survey found widespread interest in developing AI-related skills. Eighty-three percent of workers seeking AI knowledge reported teaching themselves on their own time, while 69 percent said employers provided some form of support. Most employer assistance came through access to AI tools, guidance, and online training resources.

Despite those efforts, many workers reported barriers to learning AI. Fifty-two percent cited lack of time as the primary obstacle, while 21 percent said they did not know where to begin. Other respondents reported that AI training was too complex, too expensive, or of uncertain value to their current roles.

The task force's final report separately recommended increased investment in K-12 STEM education, higher education, and workforce training to prepare Washington residents for an AI-driven economy. Recommendations include supporting educator training, expanding AI literacy programs, improving access to technology and broadband, and strengthening higher-education programs focused on AI skills and research.

Differing concerns across worker populations. Survey results also identified disparities among worker groups. Men reported being "very familiar" with AI at substantially higher rates than women, while women were nearly twice as likely to say they did not know where to start learning about AI technologies. Lower-income workers expressed the highest levels of negative sentiment and job insecurity and reported fewer opportunities for employer-supported training.

Researchers found that lower-income respondents were more likely to hold multiple jobs, work part-time, or be self-employed. Many of the workers reporting the greatest concerns about AI displacement were employed in creative fields, freelance occupations, hospitality-related work, and other sectors with less access to structured retraining opportunities.

Demand for stronger AI governance. The survey found strong support for workplace regulation. Nearly 40 percent of respondents called for AI governance in unprompted responses, making it the most frequently raised unsolicited issue in the survey. Workers requested greater transparency regarding AI use, accountability for AI-assisted hiring and employment decisions, intellectual-property protections, worker safeguards, training resources, and consent requirements before AI deployment.

According to researchers, respondents often expressed greater concern about the absence of workplace safeguards than about AI technology itself. The report concluded that many workers view the current environment as lacking sufficient guardrails to ensure AI is deployed fairly, transparently, and in ways that support rather than replace human labor.

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