State of AI and the Labor Market 2026

AI is reshaping the labor market at the margins, not collapsing it: in 2025 employers cited AI in 54,836 announced layoffs, just 5% of the year's 1.21 million total cuts. The clearer signal is a hiring slowdown and a squeeze on entry-level and highly AI-exposed roles, balanced against fresh demand in data-center construction and AI-related job descriptions.

Layoffs blamed on AI are real but still a minority

Challenger, Gray & Christmas tracked 54,836 job cuts where employers explicitly cited AI in 2025, a meaningful number but only about 5% of the 1,206,374 total cuts announced that year. Total layoffs rose 58% over 2024, driven more broadly by restructuring, cost-cutting and a weak hiring environment than by automation alone. Since the firm began tracking the reason in 2023, AI has been named in 71,825 cut announcements cumulatively. This suggests AI is one factor among many rather than the dominant cause of recent labor disruption.

Hiring is cooling, especially at the entry level

US employers announced just 507,647 planned hires in 2025, down 34% from 2024 and the lowest year-to-date figure since 2010. Research points to younger workers absorbing a disproportionate share of the pain, with the job-finding rate in highly AI-exposed occupations for workers aged 22-25 falling materially relative to lower-exposure roles. A weaker entry-level pipeline matters because early-career jobs are how workers build the experience that protects them later. The nuance is that causation is hard to isolate from a broader cyclical hiring freeze.

Exposure is broad, but exposure is not displacement

Goldman Sachs Research estimates that around 300 million jobs globally are exposed to AI automation over the next decade, and the IMF puts the share of affected jobs near 40% worldwide. Crucially, exposure means tasks could be augmented or automated, not that the role disappears. Goldman's baseline pegs actual displacement at 6-7% of workers during a roughly ten-year adoption transition, with a wide 3-14% range depending on assumptions. The same research expects AI to lift productivity and create offsetting demand elsewhere in the economy.

New demand is concentrated in infrastructure and AI skills

The AI buildout is itself a jobs engine: Goldman attributes a surge in construction, electrical and HVAC demand to data-center expansion, with roughly 216,000 construction jobs tied to the buildout added since 2022. Employer references to AI in job descriptions have climbed sharply as firms compete for talent that can deploy these tools. The pattern resembles past technology shifts where some tasks vanish while new categories of work emerge. The open question is whether displaced knowledge workers can transition into the technical and skilled-trades roles where demand is growing.

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Compiled by ToolGlance from publicly reported data; figures link to their sources. Updated 2026-05-30.