For years, the idea sounded like science fiction.
A world where artificial intelligence becomes so productive that governments start paying people because there simply aren’t enough jobs.
Today, that conversation is no longer happening in Silicon Valley cafés.
It’s happening in government offices.
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California, home to many of the world’s biggest AI companies, has officially launched a reflection on the future of work in the age of artificial intelligence. Governor Gavin Newsom has ordered state agencies to study the impact of AI on employment and explore protections for workers who could lose their jobs to automation.
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And the proposals being discussed are remarkable.
Among the options under review:
enhanced severance packages,
transition assistance for displaced workers,
new unemployment support mechanisms,
worker ownership models,
and even concepts close to a universal income or « universal basic capital. »
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To understand why this matters, you have to understand where the debate is coming from.
California is not just another state.
It hosts 33 of the world’s 50 leading AI companies.
The same region building the AI revolution is also one of the first places feeling its impact on the labor market.
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This is no longer just a discussion about factory automation.
The jobs most exposed today are often white-collar positions:
administrative roles,
customer support,
junior analysts,
entry-level programmers,
legal assistants,
and many other professions once considered safe from automation.
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The irony is hard to miss.
For decades, technology mainly replaced physical labor.
Now, the fastest-growing technology in history is increasingly targeting cognitive work.
The very jobs many people went to university to obtain.
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And California is not alone.
London has debated similar ideas.
South Korea has explored AI-related labor protections.
Japan is studying the long-term impact of automation on its aging workforce.
Across the developed world, governments are beginning to ask the same uncomfortable question:
What happens if AI creates wealth faster than it creates jobs?
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Even some of the people building AI are worried.
Figures such as Sam Altman, Geoffrey Hinton, Elon Musk and Dario Amodei have all publicly discussed some form of universal income or redistribution mechanism as a possible response to large-scale automation.
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For now, California isn’t creating a universal income program.
The state is gathering data, building employment-tracking systems and studying policy options. A public dashboard monitoring AI’s effect on jobs is expected within months.
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But the significance of this decision goes far beyond California.
Because for the first time, one of the world’s most powerful economic regions is acting as if AI-driven job displacement is no longer a theoretical possibility.
It’s something worth preparing for.
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For years, the big question surrounding AI was:
« Can machines do our jobs? »
California is asking a different question.
If they can… what happens next?
