A CNBC All-America Economic Survey released this week shows 56% of American workers now support a federally administered AI wealth fund designed to redistribute gains from artificial intelligence automation. The poll of 800 respondents with a margin of error of 3.5 percentage points comes as layoffs in the technology sector reached 85,000 positions in the first quarter of 2025, according to Layoffs.fyi tracking data. Support crosses party lines with 62% of Democrats, 54% of independents, and 49% of Republicans backing some form of redistributive mechanism.

The shift represents a 14-percentage-point increase from the same survey conducted in September 2024, when only 42% of workers supported government intervention in AI-driven labor displacement. Tech sector job cuts accelerated 38% quarter-over-quarter, with enterprise software companies including Salesforce, SAP, and ServiceNow accounting for 31,000 of the reductions. Unlike previous waves of automation that displaced factory floor workers over decades, artificial intelligence is eliminating knowledge-worker roles in legal research, financial analysis, and software quality assurance at speeds that outpace existing workforce retraining infrastructure. The Bureau of Labor Statistics projects 2.4 million white-collar positions will face displacement or significant role compression by the end of 2026.

For allocators, the polling data signals three developments worth monitoring. First, political feasibility for wealth redistribution tied to technology gains is climbing out of the theoretical zone. A bipartisan Senate working group led by Mark Warner and Todd Young is drafting legislation that would levy a 1.2% tax on compute spending above $100 million annually, with proceeds directed to portable retraining accounts. Second, consumer sentiment is diverging from equity market optimism around AI productivity gains. While the Nasdaq Composite trades at 34 times forward earnings on AI infrastructure bets, household confidence in technology-driven prosperity dropped nine points in the University of Michigan sentiment index since January. Third, labor mobility is freezing. Job switching rates among workers aged 25-54 fell to 2.1% in March, the lowest reading since July 2020, as mid-career professionals perceive fewer lateral opportunities in an automation-accelerated environment. That demand destruction will show up in discretionary spending by the third quarter.

Watch three catalysts before the August recess. Senator Warner's office indicated markup sessions on the AI Compute Tax and Retraining Act could begin as early as mid-May, with a floor vote possible by July if bipartisan co-sponsors reach 16 members. The Congressional Budget Office is due to release its ten-year scoring of various wealth fund structures by June 15, which will clarify whether the mechanism is budget-neutral or requires offsets. Meanwhile, the Federal Reserve's June Beige Book will include the first dedicated section on AI-driven labor displacement, based on district-level surveys completed in May. If three or more districts report material AI-related headcount reductions in professional services, expect Fed officials to reference structural unemployment risk in the June FOMC statement.

The political center of gravity on technology taxation moved 14 points in seven months. That is not noise.