Report: labor force impact: artificial intelligence.

The bill text was converted from a printed legislative document format (with page numbers, line numbers, and formal layout) to a web page format including navigation menus, search tools, and version tracking links. No changes were made to the actual statutory language.

The advisory panel size increased from 13 to 14 members, adding a new seat for a local government representative (city, county, special district, or local educational agency) with experience deploying AI in the workplace, appointed by the Senate Committee on Rules.

The appointment authority for the small or medium-sized private sector employer representative changed from the Assembly Committee on Rules to the Senate Committee on Rules.

The word 'equity' was added to the expertise requirements for two panel member categories (nonprofit experts appointed by the Speaker of the Assembly and by the Senate Rules Committee), broadening the qualifications considered for those seats.

The required report content was expanded to include analysis of how worker displacement impacts state revenues and how technology disproportionately impacts demographic groups, in addition to the existing focus on automation and job replacement.

Entirely new Unemployment Insurance Code Section 9620 establishes the California Artificial Intelligence Worker Impact Data Assessment Project within the Employment Development Department, expanding the bill from a minor wage notice fix to a major AI workforce policy initiative.

Creates a 10-member Advisory Panel with a specific composition: 2 UC Labor Center experts and 2 AI developer experts (appointed by Governor), 2 nonprofit worker development experts and 1 labor organization expert (appointed by Speaker of Assembly), 1 nonprofit expert and 2 labor organization experts (appointed by Senate Rules Committee). Panel must be constituted by March 1, 2027.

Requires the EDD, in consultation with the advisory panel, to assess data sources and collection methodologies used by federal, state, and local agencies regarding AI's impact on the labor force, and to compile a report on existing data systems and gaps.

The report must include: identification of key questions about AI's impact on workers and labor markets, an inventory of existing state data on technology and workforce, assessments of federal/local data systems, data collection partnerships, nongovernmental data efforts, and gaps in data collection. It must also include policy recommendations on supporting workers impacted by AI and keeping workforce pipelines open.

Advisory panel must submit its report to the Legislature by January 1, 2028. The panel dissolves upon submission of the report. The entire new section sunsets (repeals) on January 1, 2029.

Fiscal committee designation changed from 'no' to 'yes,' indicating the amended bill now carries a fiscal impact (likely due to costs of staffing the advisory panel and conducting the data assessment).

The original Labor Code Section 207 amendment (changing 'Every employer' to 'Each employer') is retained but renumbered as the second section of the bill, now following the new AI assessment provisions.

The amendment to Labor Code Section 207 (requiring employers to post notice of regular pay days) was removed entirely. The bill no longer touches wage posting requirements and is now solely about the AI worker impact data assessment project.

The advisory panel size increased from 10 to 13 members, adding three new appointment categories: a small or medium-sized private sector employer with AI deployment experience (appointed by Assembly Committee on Rules), a large private sector employer with AI deployment experience (appointed by the Governor), and a nonprofit organization with AI deployment experience (appointed by the Speaker of the Assembly).

The fiscal committee vote changed from 'no' to 'yes,' indicating the bill now carries a fiscal impact requiring fiscal committee approval, likely due to the expanded panel size.

Spelling corrected from 'bonafide' to 'bona fide' in two places referring to labor organizations.