The AI "layoff storm" is approaching: recent layoffs in the U.S. are 25% due to AI

Artificial intelligence is shifting from a narrative in the capital markets to a reality in the employment market. The latest data shows that among recent layoffs announced by U.S. companies, over a quarter are explicitly attributed to AI, contrasting sharply with zero a year ago, marking that AI’s impact on the labor market has moved from expectation to measurable and trackable stages.

According to Wind Information, UBS citing the latest employment reduction report from Challenger, Gray & Christmas, 26% of layoffs announced in the past month are attributed to AI, with a year-to-date total of 16%. In comparison, the same period last year saw zero AI-related layoffs, and the full year of 2025 only 5%. The sharp increase within just one year indicates that AI replacing labor is accelerating in implementation.

Meanwhile, UBS’s latest corporate survey shows that 42% of respondents expect AI to lead to some or significant reductions in hiring, up 11 percentage points from the October 2025 survey. The contraction in hiring intentions aligns with the actual layoff data, indicating that AI’s influence on employment decisions is shifting from abstract expectations to concrete actions.

As this trend emerges, AI-related stocks are leading the global capital markets higher, with related valuations at historic highs. Changes in employment data serve as evidence of AI technology penetrating the real economy and also raise new questions about the fundamentals and macro employment prospects of labor-intensive industries, warranting ongoing investor attention.

Rapid change within a year: AI layoff share rises from zero to a quarter

Challenger, Gray & Christmas’s monthly employment reduction reports track public layoffs announced by U.S. companies and are considered important leading indicators of labor market changes. According to UBS research, AI-related layoffs in this database have shown a leap.

Specifically, the same period in 2025 saw zero AI-related layoffs, with only 5% for the entire year. Since entering 2026, the trend has accelerated significantly, with the cumulative share rising to 16%, and the most recent month reaching 26%. UBS notes that Challenger’s database has been tracking the question of “whether layoffs are caused by AI” since May 2023, and the current acceleration trend is clearly ongoing.

It should be noted that Challenger’s data covers about 100k layoffs per month, representing roughly 5% of total layoffs and dismissals in the U.S. (about 1.5 to 2 million per month). Since the data focuses on public announcements, it is biased toward large companies, with a higher weighting in the tech sector. Therefore, this indicator is more suitable as a directional leading signal rather than a comprehensive reflection of the entire labor market.

Hiring intentions shrink: companies’ expectations of AI substitution rising

The change in actual layoff data echoes shifts in corporate employment expectations. UBS’s latest survey shows that 42% of respondents currently expect AI to lead to some or significant reductions in hiring, up 11 percentage points from the October 2025 survey.

This rising proportion indicates that AI’s impact on labor demand is penetrating from abstract discussion into concrete decision-making. UBS also points out that actual AI adoption by companies remains relatively gradual, with many still facing challenges in effectively integrating AI into production processes. Nonetheless, the shift in expectations alone is enough to influence current hiring plans and layoff decisions.

For investors, the continued contraction in hiring intentions suggests that AI-driven employment compression effects are spreading, potentially exerting pressure on revenue and profit expectations in labor-intensive sectors such as consumer goods, retail, and financial services. It is also an important variable for interpreting future macro employment trends.

High valuations of AI stocks, labor market impact and market narratives in tandem

The changes in employment data are unfolding alongside extremely crowded valuations in AI stocks. According to UBS HOLT research, the market-implied cash flow return rate (CFROI) and growth expectations for the 86 stocks widely held by AI ETFs have reached historic highs, implying that the market assumes AI companies have a different competitive lifecycle than any comparable firms in history.

On a scale basis, these 86 AI ETF holdings generated combined sales of $3.8 trillion in 2025, slightly exceeding India’s GDP; among them, Microsoft, Apple, Meta, Alphabet, Nvidia, Broadcom, Oracle, and Amazon contributed a total of $2.4 trillion, equivalent to Italy’s GDP. UBS’s quantitative research on crowdedness also shows that the Magnificent 7 (excluding Tesla, including Broadcom) are all in extremely crowded bullish zones.

UBS warns that AI stocks face three potential risks: the shift of large-scale cloud computing providers toward asset-heavy models could depress long-term returns; “selling shovels” semiconductor stocks currently have about 30% super-high CFROI, which is historically difficult to sustain; and revenue growth expectations for leading tech companies are also constrained by the law of large numbers. Now, the labor displacement driven by AI has left clear traces in employment statistics, representing an important dimension of AI’s transition from virtual to real, and may accelerate valuation re-pricing in labor-intensive industries over a longer horizon.

All the insightful content above is from Wind Information.

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