California Governor Gavin Newsom on Thursday issued an executive order instructing state agencies to develop new workforce strategies to manage job disruptions caused by artificial intelligence (AI). According to Yahoo News, this is the first action of its kind in the United States.
Under the order, state bodies must collaborate with universities, economists, labor experts and industry participants to gather data and produce recommendations intended to protect and support workers. The document specifies several concrete measures, including:
- expanding retraining programs;
- creating an early-warning system to forecast labor market changes;
- studying how workers could share in productivity gains generated by AI;
- reviewing severance rules and analyzing subsidized employment programs;
- producing an “AI guide” to modernize the vocational training system.
The directive comes against a backdrop of significant layoffs in the technology sector tied in part to the spread of AI. The order cites that Meta this week laid off roughly 8,000 employees, about 10 percent of its workforce. In recent months, Amazon, Oracle and Cloudflare have also dismissed several thousand workers.
The effects are expected to extend beyond the tech sector. Dario Amodei, co‑founder of Anthropic, has estimated that about half of office jobs could disappear over the next five years. In this context, the state strategy aims both to enable rapid response and to support workers in reskilling for changing demands.
The political context is notable as well: in March, Governor Newsom signed a separate order imposing public safety requirements on AI companies doing business with the state. The new workforce-focused measures, however, may conflict with the federal government’s policy direction, since the Trump administration has committed to minimizing regulation of the sector and has sought to limit state-level restrictive initiatives.
Detailed implementation steps and timelines will need to be developed and published by the relevant agencies following the order.
Why this matters
The measure represents a systemic state-level response to AI’s potential impact on employment. Concrete interventions such as expanded retraining and early-warning monitoring could reduce transitional social and economic risks, but the ultimate effect will depend on details including funding, scheduling and execution.
