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Workers Back AI 'Dividend' as Layoffs Hit Structural Pace

A Verasight survey of 1,690 U.S. adults, conducted in June, found that 69 percent of Americans support requiring AI companies to transfer half their stock to a public sovereign wealth fund — a redistribution proposal that sits at the center of Sen. Bernie Sanders's American AI Sovereign Wealth Fund Act. The surge in support comes as AI-attributed job cuts reached nearly 102,000 through mid-2026, according to data from Challenger, Gray & Christmas, the firm that tracks layoff announcements nationally.

The two data points arriving together are not coincidental. Tech accounted for nearly one-third of all announced U.S. layoffs in the first half of 2026, and industry analysts have increasingly moved away from calling the trend cyclical. John Challenger, CEO of Challenger, Gray & Christmas, said AI is "certainly making an impact as we speak in a way that no technology has before."

Context: Structural, Not Cyclical

Reviewing the layoff trajectory, we see a pattern that distinguishes this moment from prior tech downturns. The tech and finance sectors combined have shed an average of 28,000 jobs per month in 2026, even as the broader labor market added over 113,000 positions monthly through May. The selective concentration of cuts — not an economy-wide contraction — points to displacement rather than a recession-style correction.

The Verasight findings reflect workers processing that reality. Benjamin Leff, Verasight's CEO, told The Next Web that "the public sees such funds as a way to route the gains of the AI industry back to society." That framing — productivity gains flowing to shareholders while workers absorb the disruption — is increasingly the lens through which workers view AI-linked layoffs.

Separately, Gallup data published this year adds a sharper individual dimension: 62 percent of workers who were laid off in 2026 were non-users of AI, compared with 50 percent of currently employed workers who fell in the same category. In the tech sector specifically, workers who used AI monthly or less were three times more likely to have been laid off than peers who used it at least monthly.

The Goldman Sachs estimate often cited in policy debates projects that over 9 percent of the labor force — approximately 15 million workers — could lose jobs during a decade-long AI transition, though the bank's economists expect new job creation to offset those losses over the long term.

What This Means for Job Seekers

The worker sentiment behind an AI dividend proposal is a meaningful signal, but the policy itself is years away from enactment if it passes at all. Job seekers cannot afford to wait for the wealth-fund debate to resolve before repositioning.

The Gallup data makes the immediate action clear: AI adoption is already a job-preservation factor, not just a résumé enhancement. Workers who engage with AI tools regularly are demonstrably less exposed to the current wave of cuts. That does not mean mastering a dozen platforms — it means demonstrating that you use AI as a functional part of your workflow, in ways your next hiring manager can see. Reviewing AI-proof career skills now, before a layoff forces the issue, is the higher-leverage move.

The broader takeaway from the survey data is that workers are reading the layoff environment as permanent restructuring, not a temporary correction. Job seekers who internalize that same read — and build skills accordingly rather than waiting for conditions to normalize — will be better positioned regardless of what any wealth-fund legislation ultimately does.