In his gubernatorial bid, he proposed a state-run cloud cluster, faster permits for clean-energy data centres and independent audits of AI used by state government.
The plan backs workforce upskilling, AI literacy in schools and libraries, labour consultation before workplace deployment, and human review for high-stakes automated decisions.
Becerra also said he would reverse California DMV autonomous trucking rules approved last week, while casting California as an AI governance model against what he called federal inaction under Donald Trump.
Can California fast-track massive AI data centers while protecting its strained water and power resources from their immense demands?
Can one state's 'gold standard' for AI thrive when the technology and federal policy are pushing in another direction?
Is siding with human truckers over autonomous vehicles a necessary labor protection or a roadblock to innovation?
Balancing Innovation and Regulation: Xavier Becerra’s AI Strategy for California’s Future
Overview
In April 2026, Congressman Eric Swalwell's sudden exit reshaped California's gubernatorial race, helping Xavier Becerra emerge as a leading contender. Becerra gained visibility by joining a major debate and unveiling a detailed 11-point AI governance plan that frames AI as a public good benefiting all Californians. His plan addresses rising housing costs linked to algorithmic rent collusion and energy demands from data centers, proposing a tax on excessive AI profits to fund social services. It emphasizes worker protections, regulatory transparency, and community involvement, earning strong labor support but cautious tech industry reactions. However, fiscal challenges and potential federal legal conflicts pose significant hurdles to implementation.