The "AI layoff wave" is approaching: 1/4 of recent layoffs in the US are due to AI.

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Artificial intelligence is shifting from a capital market narrative to a reality in the job market. The latest data shows that over a quarter of recently announced layoffs by U.S. companies have been explicitly attributed to AI—a stark contrast to zero a year ago—signaling that the impact of AI on the labor market has moved from the realm of anticipation to a stage that is quantifiable and traceable.

According to Windchaser Trading Desk, citing UBS and the latest job cut report from Challenger, Gray & Christmas, 26% of layoffs announced in the most recent month were attributed to AI, with the cumulative proportion this year at 16%. By comparison, the proportion of AI-related layoffs during the same period last year was zero, and only 5% for the entire year of 2025. This sharp rise within a single year shows that AI-driven labor replacement is accelerating into reality.

Meanwhile, the latest UBS corporate survey shows that 42% of surveyed companies expect AI will lead them to modestly or significantly reduce hiring—an increase of 11 percentage points from 31% in the October 2025 survey. The contraction of hiring willingness and the actual layoff data corroborate each other, indicating that AI's influence on employment decisions is shifting from abstract expectations to concrete actions.

This trend is emerging as AI-related stocks are leading a rally in global capital markets, with valuations at historical highs. The changes in employment data both substantiate the penetration of AI technology into the real economy, and raise new questions about the fundamentals and macro employment outlook for labor-intensive industries—issues that warrant continuous investor attention.

Rapid Change in One Year: Proportion of AI Layoffs Rises from Zero to One Quarter

The monthly job cut reports published by Challenger, Gray & Christmas track public layoff announcements by U.S. companies and are viewed as a leading indicator of changes in the labor market. According to UBS research, AI-related layoffs in this database have shown a marked surge.

Specifically, the proportion of AI-related layoffs during the same period in 2025 was zero, and only 5% for the entire year of 2025. After entering 2026, the trend has accelerated significantly, with the cumulative proportion so far rising to 16%, and reaching 26% in the most recent month. UBS notes that the Challenger database has been tracking the question of "whether layoffs are caused by AI" since May 2023, and the acceleration observed now has notable persistence.

It should be noted that the Challenger data typically covers layoff announcements affecting about 100,000 workers per month, accounting for only about 5% of all layoffs and dismissals in the U.S. (which is roughly 1.5 to 2 million people per month). Because the data focuses on public announcements, the sample is biased toward large companies and the technology sector is overweighted. Thus, this indicator is better suited as a directional leading signal rather than a comprehensive reflection of the entire labor market.

Contraction in Hiring Intentions: Rising Expectations of AI Substitution Among Companies

The changes in actual layoff data echo the shifts in employment expectations at the company level. UBS's latest survey shows that currently, 42% of surveyed companies expect AI to modestly or significantly reduce hiring, up 11 percentage points from the October 2025 survey.

This uptick indicates that the impact of AI on labor demand is moving from abstract discussion to concrete decision-making. UBS also points out that actual adoption of AI by companies remains relatively gradual, and many continue to face challenges in effectively integrating AI into their production processes. Even so, the change in expectations alone is enough to influence current hiring plans and layoff decisions.

For investors, the continued contraction in hiring intentions suggests AI-driven labor reductions are spreading, which could impose potential pressure on revenue and profit forecasts for labor-intensive industries such as consumer, retail, and financial services, and serves as an important reference variable for interpreting subsequent macro employment trends.

AI Stock Valuations Soar; Labor Market Impact and Market Narrative in Parallel

These changes in employment data are playing out in tandem with extremely crowded valuations in AI stocks. According to UBS HOLT, the 86 stocks most widely held by AI ETFs now have historically high implied cash flow return on investment (CFROI) and growth expectations, with the market essentially presuming that AI companies will have competitive lifecycles unlike any prior comparable company in history.

In aggregate, the 86 AI ETF core holdings are expected to generate $3.8 trillion in sales in 2025, slightly higher than India’s GDP; of which eight companies—Microsoft, Apple, Meta, Alphabet, Nvidia, Broadcom, Oracle, and Amazon—collectively contribute $2.4 trillion, equivalent to the GDP of Italy. UBS quantitative research shows the Magnificent 7 (excluding Tesla and including Broadcom) are all in the extremely crowded long position segment.

UBS warns that AI stocks face three key potential risks: hyperscale cloud providers shifting toward asset-heavy models that will compress long-term returns; “shovel seller” semiconductor stocks’ current 30%+ super-high CFROI will be very difficult to sustain historically; and the revenue growth expectations of leading tech companies are also facing the constraints of the law of large numbers. Now, with AI-driven labor replacement leaving clear traces in employment statistics, this is an important dimension of AI’s narrative moving from hype to reality and may also accelerate the repricing of labor-intensive industries over longer time horizons.

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