Tom Steyer’s AI Jobs Guarantee: A Bold Response to Automation in California

According to a proposal by California gubernatorial candidate Tom Steyer, there’s a plan to protect California workers from the impact of artificial intelligence. As it stands, artificial intelligence is increasingly being used to automate jobs, and this trend is expected to continue.

Key Takeaways

• Tom Steyer proposes a jobs guarantee for workers displaced by artificial intelligence.
• The proposal aims to protect California workers from the impact of automation.
• Steyer’s plan is part of his gubernatorial campaign.
• The jobs guarantee would provide workers with alternative employment opportunities.
• The proposal is seen as a long shot, but it highlights the growing concern about the impact of artificial intelligence on the workforce.

Artificial Intelligence Job Guarantee Proposal

Tom Steyer’s proposal is an attempt to address the concerns about the impact of artificial intelligence on the workforce. With more and more jobs being automated, there’s a growing need to provide workers with alternative employment opportunities. Steyer’s plan is to offer a jobs guarantee to workers who lose their jobs due to automation.

The idea centers on a state-backed employment safety net. If a worker is displaced because their role has been automated—whether in logistics, retail, customer service, or manufacturing—they could apply for a public-sector job. These roles would likely be in infrastructure, clean energy, education support, or community services. The positions would come with benefits and a living wage, calibrated to regional costs of living across California’s diverse economy.

The proposal doesn’t specify a funding mechanism, but Steyer has previously supported tax reforms targeting high-income earners and large corporations. Given California’s role as a tech economy hub, there’s an implicit suggestion that companies benefiting from AI-driven productivity should contribute to worker transition programs.

Impact on California Workers

The proposal, if implemented, would have a significant impact on California workers. It would provide them with a safety net, ensuring that they have access to alternative employment opportunities. This is particularly important in industries where automation is more prevalent.

California employs over 19 million people, with major sectors including technology, agriculture, entertainment, tourism, and logistics. Automation is already reshaping warehouse operations at distribution centers in the Inland Empire, where robotic sorting and AI-driven inventory systems are reducing the need for manual labor. In the Central Valley, autonomous tractors and AI-assisted crop monitoring are changing farm labor needs. Even creative fields aren’t immune—AI tools now draft screenplays, generate visual effects, and compose background scores, potentially displacing entry-level roles in Hollywood.

Low-wage, routine-task jobs are most at risk. A 2019 study cited by Bloomberg estimated that nearly 20% of California jobs face high exposure to automation. That’s roughly 3.8 million workers. Many are in roles like cashiers, drivers, clerks, and assembly line workers—positions that don’t always offer retraining programs or career mobility.

Steyer’s jobs guarantee would target these vulnerable populations. Instead of leaving displaced workers to navigate unemployment systems or low-wage gig work, the state would offer stable, transitional employment. The psychological and economic benefits of such a policy could be substantial—reducing income volatility, maintaining consumer spending, and preserving community stability in regions hit hard by job losses.

Concerns About Artificial Intelligence

There are growing concerns about the impact of artificial intelligence on the workforce. As more and more jobs are automated, there’s a risk that workers will be left without employment opportunities. Steyer’s proposal is an attempt to address these concerns and provide workers with a sense of security.

These fears aren’t new. Economists have debated technological unemployment since the 1960s, when automation first began replacing manufacturing labor. But AI introduces a different scale and speed. Unlike past automation, which mostly affected manual or repetitive tasks, AI can now perform cognitive work—analyzing data, making decisions, even mimicking human conversation.

California, as the epicenter of AI development, is both the engine and the testing ground for these changes. Silicon Valley companies are deploying AI in hiring, customer service, diagnostics, and logistics. While these innovations boost efficiency, they also concentrate wealth and risk destabilizing labor markets.

The tension is visible in cities like San Francisco and Oakland, where booming tech sectors coexist with rising homelessness and housing insecurity. Workers displaced by automation often lack the capital or time to retrain, especially if they’re supporting families or burdened by debt. Without intervention, AI could deepen existing inequalities.

Long Shot Proposal

While Steyer’s proposal is seen as a long shot, it highlights the growing concern about the impact of artificial intelligence on the workforce. It’s a reminder that policymakers need to start thinking about the consequences of automation and how to mitigate its effects on workers.

California’s political landscape is complex. The state has a history of progressive labor policies—minimum wage hikes, paid sick leave, strong union protections—but large-scale job guarantees have never been implemented. The fiscal scope alone is daunting. Paying even 100,000 displaced workers a $50,000 annual salary with benefits would cost $6 billion per year. That’s not impossible for California’s $300 billion budget, but it would require shifting priorities or new revenue sources.

Still, the idea serves a strategic purpose in the campaign. It forces a conversation about who benefits from AI and who bears the cost. It challenges tech leaders and policymakers to consider responsibility beyond innovation. And it resonates with voters who feel left behind by economic transformation.

Artificial Intelligence and Job Displacement

The use of artificial intelligence is increasingly being linked to job displacement. As more and more jobs are automated, there’s a risk that workers will be left without employment opportunities. Steyer’s proposal is an attempt to address this issue and provide workers with alternative employment opportunities.

Job displacement isn’t uniform. Some workers transition into new roles—like truck drivers moving into fleet management or retail employees retraining as e-commerce support staff. But others fall out of the labor force entirely. The challenge isn’t just about losing a job; it’s about losing access to health care, retirement savings, and professional identity.

AI doesn’t just eliminate jobs—it reshapes them. A bank teller today might spend less time on cash transactions and more on customer service, thanks to ATMs and mobile apps. Similarly, AI chatbots may handle basic inquiries, but human agents are still needed for complex issues. The shift requires new skills: digital literacy, emotional intelligence, adaptability.

Steyer’s plan acknowledges that not all transitions are voluntary or smooth. A jobs guarantee acts as a bridge—keeping people employed while they retrain or while the economy evolves. It’s not a permanent solution, but a stabilizing mechanism during a period of rapid change.

Competitive Landscape: How California Compares

California isn’t alone in grappling with AI’s labor impact, but its approach differs from other tech-heavy states and nations.

In Washington State, lawmakers have explored AI accountability regulations, focusing on transparency and bias in hiring algorithms. Texas has invested in vocational training for energy and tech sectors, but hasn’t proposed employment guarantees. New York City passed a law requiring bias audits for AI hiring tools, but it stops short of economic support for displaced workers.

Internationally, Finland offers free AI courses to its citizens, aiming to upskill 1% of the population. Canada has funded reskilling programs through its Future Skills Centre. France mandates that companies consult workers before deploying automation that affects jobs. These models prioritize education or consultation, not guaranteed employment.

Steyer’s proposal stands out for its direct intervention. Instead of relying solely on training or market adjustments, it uses state power to ensure no worker is left without income. It’s closer in spirit to New Deal-era job programs than to modern retraining initiatives.

But California’s size and diversity make experimentation possible. If a pilot program worked in one region—say, the Central Valley or the Bay Area—it could inform broader policy. Other states watching California’s tech and labor trends might adopt similar models if results are promising.

What This Means For You

If you’re a developer or builder, you need to start thinking about the impact of artificial intelligence on the workforce. You may need to consider how your work will be affected by automation and what alternative employment opportunities are available. It’s also important to start thinking about how to mitigate the effects of automation on workers.

For software engineers building AI systems, the ethical dimension is becoming harder to ignore. A tool that optimizes warehouse efficiency might also eliminate 20% of jobs at a fulfillment center. That’s not just a business outcome—it’s a community impact. Some tech workers have already pushed back, like when Google employees protested Project Maven, a military AI contract. Future internal debates might focus on products that displace large numbers of workers.

Founders launching AI startups should consider the labor implications of their products. Investors are starting to ask not just about scalability, but also about societal risk. A company selling AI-powered customer service bots might face scrutiny if it markets “replacing 100 agents per deployment.” There’s growing pressure to design for augmentation, not replacement—tools that help workers do more, not replace them entirely.

For policymakers and local governments, Steyer’s proposal suggests a new role: not just regulating AI, but managing its economic fallout. Cities with major tech presence—like San Jose, Seattle, or Austin—might explore local job transition funds or public employment programs. It’s not about stopping innovation; it’s about ensuring it doesn’t come at the cost of social stability.

And if you’re a worker who’s at risk of being displaced by automation, you need to start thinking about your options. You may need to consider retraining or upskilling to remain employable. It’s also important to start thinking about how to access alternative employment opportunities.

What Happens Next

Steyer’s proposal is unlikely to become law in the near term, especially if he doesn’t win the gubernatorial race. But the conversation it sparks could have lasting effects.

Other candidates may adopt pieces of the plan—like targeted retraining grants, AI impact assessments for state contracts, or public job banks for displaced workers. Unions might push for collective bargaining clauses that address automation. Tech companies could face public pressure to fund transition programs, similar to how fossil fuel firms are asked to support green job initiatives.

California’s legislature has already begun examining AI’s labor impact. In recent years, it passed laws on gig worker classification and workplace surveillance. AI-driven job loss could be the next frontier. Bills might require companies to report automation-related layoffs or contribute to a state transition fund.

The timeline for action depends on visibility. As more workers feel the effects of AI—through reduced hours, job elimination, or stalled promotions—the political urgency will grow. Steyer’s proposal might not pass, but it could set the stage for more practical, incremental reforms that still protect workers.

Forward-Looking Question

It’s clear that artificial intelligence will continue to play a major role in the workforce. The question is, how will we mitigate its effects on workers? You can read more about Tom Steyer’s proposal in the original report.

Sources: Wired, Bloomberg