There’s a Long-Shot Proposal to Protect California Workers From AI

Tom Steyer's Plan to Safeguard California's Workforce

California gubernatorial candidate Tom Steyer has put forward a bold initiative aimed at protecting workers whose jobs are threatened by artificial intelligence. As the first major statewide candidate to make such a commitment, Steyer’s proposal promises to guarantee well-paying jobs with benefits for employees displaced by AI technologies.

Funding Through a 'Token Tax'

Steyer plans to fund this jobs guarantee by introducing a 'token tax' on major tech companies. This tax would collect a tiny fee for each unit of data processed by AI systems. Proceeds would be allocated to the Golden State Sovereign Wealth Fund, supporting projects like housing, healthcare, energy infrastructure, and comprehensive training and apprenticeship programs throughout California.

A New Workforce Protection Agency

Part of the proposal includes expanding unemployment insurance and creating an AI Worker Protection Administration. This new agency—featuring union representatives, academics, and technology experts—would develop rules to defend worker rights in the face of rapid technological change.

A Growing National Debate

Steyer’s announcement comes as state and federal lawmakers across the U.S. seek ways to manage the economic disruption from AI. Similar ideas have surfaced in New Jersey and Congress, and even leading AI executives have acknowledged the need for new funding to help transition the workforce.

The Political Landscape

Steyer’s chief primary rival, Xavier Becerra, has also unveiled an AI plan that backs workforce support and transition, but without a clear funding source. The debate unfolds as national leaders warn states against heavy AI regulation and as big tech interests become more involved in local races.

Steyer stresses the need for California to lead with a comprehensive vision that ensures prosperity isn't limited to tech entrepreneurs but extends to everyone facing the risks of automation.

For more details, read the full original article by Makena Kelly on WIRED.