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SSB 5422

In Committee

Senate

Collective bargaining/AI use

Allowing bargaining over matters related to certain uses of artificial intelligence.

This status may be delayed. See Action History below for the latest updates.

How does a bill become law?
  1. Introduced: The bill is filed and assigned a number.
  2. Committee: A subject-matter committee holds hearings, takes public testimony, and decides whether to advance the bill.
  3. Floor Vote: The full chamber (House or Senate) debates and votes on the bill.
  4. Opposite Chamber: The bill repeats the committee and floor vote process in the other chamber.
  5. Governor: The Governor reviews the bill and decides whether to sign or veto it.
  6. Signed: The bill has been signed into law.
Introduced: February 20, 2025
Last Action: January 12, 2026
Status: S Ways & Means
Companion Bill:

AI Analysis

This analysis was generated by AI and may contain errors. It is not legal advice. Always refer to the official bill text for authoritative information.
People & CommunitiesBalancedCorporate & Wealthy Interests

This bill requires public employers — including state agencies and higher education institutions — to bargain with unions over decisions to adopt or change artificial intelligence (AI) tools if those changes affect employees’ pay, hours, or working conditions. It defines AI broadly and clarifies that while employers retain management rights over core operations, AI deployment becomes a negotiable issue when it impacts employment terms.

  • Adds a new mandatory subject of collective bargaining: decisions to adopt or modify artificial intelligence (AI) technology if the change affects employees’ wages, hours, or other terms and conditions of employment.
  • Defines 'artificial intelligence' broadly to include machine learning and related technologies that perform tasks like decision-making, content generation, and natural language processing.
  • Clarifies that AI use remains a management right *except* when it impacts working conditions — meaning employers must bargain over AI deployment only when it alters pay, schedules, job duties, or other conditions.
  • Applies to both state agency employees (under chapter 41.80 RCW) and higher education employees (under chapter 41.56 RCW), with appropriate exclusions for managers, confidential staff, and others.
  • Ensures existing contracts remain in effect until expiration or renewal, and does not retroactively change agreements already in place before July 1, 2025.

Who is affected

  • Washington Management Service employees (salary bands 1 and 2)Public employees in state agencies (excluding higher education) who are part of the Washington Management Service and belong to salary bands 1 or 2 — they gain the right to bargain over AI use if it impacts their pay, hours, or working conditions.
  • Higher education employees covered under chapter 41.56 RCWEmployees at the University of Washington, WSU, CWU, EWU, WWU, Evergreen, and community colleges who are not in exempt categories (e.g., presidents, deans, managers, confidential staff) — they gain the right to bargain over AI use under their existing collective bargaining framework.
  • Public employee unions and bargaining representativesUnions or employee organizations that represent bargaining units in state agencies or higher education — they gain the legal right to negotiate over AI implementation and changes that affect members’ working conditions.
  • State agencies and institutions of higher education (as employers)State agencies and institutions of higher education — they must engage in good-faith bargaining over AI use when it impacts wages, hours, or terms of employment, but retain management rights over core functions and technology deployment unless required to bargain.
Effective: July 1, 2025Fiscal impact: No specific fiscal impact is estimated in the bill text; however, agencies may incur costs related to negotiations, potential wage adjustments, or technology integration if agreements include provisions for training, oversight, or staffing changes related to AI use.
Model: Intel/Qwen3-Coder-Next-int4-AutoRoundGenerated: Mar 20, 2026 at 2:01 AM

Pro/Con Analysis

Stronger case for benefits

Potential Benefits (5)
  • Clarifies that core management rights (e.g., defining functions, structuring organizations, setting budgets, directing staff) remain outside the scope of bargaining — preserving employer flexibility over strategic operations despite AI-related negotiations.

    Business & EmploymentRef: Sec. 1(2)(b)(i); Sec. 1(2)(b)(ii); Sec. 1(2)(b)(iii); Sec. 1(2)(b)(iv)
  • Narrowly limits mandatory bargaining to AI changes that *actually affect* wages, hours, or terms of employment — preventing overreach while ensuring meaningful negotiation where impacts occur.

    Business & EmploymentRef: Sec. 3(2); Sec. 5(1); Sec. 6
  • Maintains existing exclusions for executive, managerial, and confidential employees — aligning with long-standing labor relations precedent and protecting sensitive policy functions from bargaining interference.

    Business & EmploymentRef: Sec. 1(2)(a); Sec. 1(2)(e); Sec. 3(2)(a)
  • Preserves institutional autonomy over budgeting, workforce size, and organizational structure — ensuring employers retain control over fiscal and strategic decisions even when AI deployment is negotiated.

    Business & EmploymentRef: Sec. 1(2)(b)(iv); Sec. 1(2)(b)(ii)
  • Affirms management’s right to define institutional functions and programs — reinforcing that AI use remains a non-negotiable management right unless it directly alters employment conditions.

    Business & EmploymentRef: Sec. 1(2)(b)(i); Sec. 1(2)(b)(iii)
Potential Concerns (5)
  • Requires public employers to bargain over AI deployment when it impacts wages, hours, or working conditions — this strengthens union bargaining power and could lead to improved job security, transparency, and oversight of AI tools used in public workplaces.

    Business & EmploymentPeopleRef: NEW SECTION. Sec. 5(1); NEW SECTION. Sec. 6
  • Could improve public safety outcomes by enabling unions to negotiate for human oversight, bias mitigation, and accountability protocols in AI systems used in areas like corrections, child welfare, or law enforcement — reducing risks of algorithmic harm or misapplication.

    Public SafetyPeopleRef: NEW SECTION. Sec. 5(1); NEW SECTION. Sec. 6
  • Enhances worker voice and due process rights by requiring employers to negotiate over AI tools that may alter job duties, performance evaluations, scheduling, or discipline — helping prevent opaque, automated decision-making that could undermine fairness and transparency.

    Rights & LibertiesPeopleRef: NEW SECTION. Sec. 5(1); NEW SECTION. Sec. 6
  • Ensures contractual stability by preserving existing agreements until renewal, avoiding retroactive disruption — this provides predictability for both unions and employers during the transition period.

    Business & EmploymentRef: NEW SECTION. Sec. 7
  • Exempts managers, confidential staff, and executives from coverage under the new AI bargaining requirement — preserving management prerogatives while limiting the scope of affected workers to non-supervisory and non-confidential employees.

    Business & EmploymentRef: Sec. 1(2)(b); Sec. 1(2)(c); Sec. 1(2)(d)

Who Is Most Affected

Washington Management Service employees (salary bands 1 and 2)Positive Impact

Public employees in salary bands 1 and 2 (e.g., caseworkers, technicians, clerks) gain formal bargaining rights over AI tools that may affect their schedules, performance evaluations, or job duties — potentially improving transparency and reducing algorithmic bias in daily work.

Higher education employees covered under chapter 41.56 RCWPositive Impact

Higher education non-managerial staff (e.g., lab techs, academic advisors, IT support) gain similar bargaining rights, but exclusion of deans, presidents, and confidential staff preserves management control over institutional direction.

Public employee unions and bargaining representativesPositive Impact

Unions gain new statutory leverage to negotiate over AI implementation, potentially leading to better oversight, training, and job protections — though success depends on negotiation outcomes and employer resistance.

State agencies and institutions of higher education (as employers)Mixed Impact

State agencies and higher education institutions must engage in good-faith bargaining over AI use, but retain broad management rights over core functions — net impact is neutral to slightly negative due to added procedural complexity and potential for delayed implementation.