U.S. jobs cut citing AI in 2026 - 24% of all announced cuts.
Source: Challenger, Gray & Christmas, latest available: Jul 2026. Employer-stated reason; not an independent causality finding.
A public evidence hub separating AI-cited U.S. job cuts, all-cause global tech layoffs, official Texas WARN filings, and occupational exposure. Every measure is sourced and dated; unlike figures are never added together.
Four different measures answer four different questions. They are shown together for context, but they are never added together.
~381 roles reported across 4 of 7 events.
Source: layoffs.fyi - all causes, not AI-specific. Role totals include only events that disclosed a number.
U.S. jobs cut citing AI in 2026 - 24% of all announced cuts.
Source: Challenger, Gray & Christmas, latest available: Jul 2026. Employer-stated reason; not an independent causality finding.
U.S. workers in High+ AI-exposure roles - 187 of 982 occupations and 26% of measured employment.
O*NET and BLS exposure model. Snapshot recomputed Aug 12, 2026; current empirical release includes the Anthropic Economic Index (June 26, 2026). Exposure, not a layoff count. Methodology.
layoff events tracked, 2020-2026 - 883,620 known roles cut.
Via layoffs.fyi - all causes, not AI-specific. Checked Aug 23; latest event Aug 21. Events without disclosed headcount remain in the event total.
official Texas WARN filings, through Jun 2026 - 128,556 known workers.
Government mass-layoff notices (TX, more states coming). Employers must file qualifying notices, but the filing does not state a cause.
Event count, not roles cut. Source: layoffs.fyi; 2026 is year-to-date.
Do not add these figures together. They measure different things and overlap: occupational exposure (U.S.), employer-attributed AI cuts (U.S.), all-cause tech/startup layoffs (global), and official WARN filings (currently Texas). "Known roles/workers" excludes events with unstated headcounts.
Dated findings from published reports. These provide context; they are not additional event counts and are not summed with the live data above.
Employers cited AI in 33% of the 33,429 U.S. job cuts Challenger recorded for July 2026 (10,970 cuts).
Challenger, Gray & Christmas, 2026AI-attributed cuts reached 112,713 year to date through July 2026, about 24% of the 477,033 U.S. cuts Challenger tracked.
Challenger, Gray & Christmas, 2026AI's share of announced U.S. cuts was 33% in July 2026, up from 31% the month before.
Challenger, Gray & Christmas, 2026A curated feed of employer statements and reporting. "AI cited" records the stated rationale; it does not independently prove that AI caused every cut.
~20% of the workforce; SEC filing cited a leaner operating model supporting an "AI-driven growth strategy" as the platform is rebuilt around AI. The company said the cuts were not made to replace people with AI.
~14% of staff; funding AI infrastructure amid surging AI-workflow traffic.
~10% of workforce; leadership framed cuts around staying competitive in AI.
~17% of workforce; reallocating resources toward AI and reducing complexity.
~5% of staff; realigning resources around silicon, optics, security, and AI.
~20% of staff; AI cited as reducing the need for some middle-management roles.
Plan to reduce headcount ~20% over 2-3 years while adopting AI across development and operations.
~14% of staff; AI efficiency cited (engineers shipping faster).
~16% of staff; AI advances cited as letting teams reduce repetitive work.
~10% of staff; AI cited as changing which skills and how many roles are needed.
~13% over 12 months; redirecting savings toward AI data centers.
AI tooling cited as enabling smaller, flatter teams.
Fewer than 1,000 roles; Agentforce AI handling more support cases reduced the number of roles needed.
~10% of staff; redirecting resources toward AI-optimized server revenue.
~16,000 corporate roles; leadership said AI agents will change how work is done and reduce the corporate workforce.
1,200 official Texas WARN filings covering 128,556 known workers, through Jun 2026. These filings are authoritative notices, but they do not state a cause and are not AI-specific.
Plano, Collin Co.
Lewisville, Denton Co.
Tyler, Smith Co.
De Soto, Dallas Co.
Dallas, Dallas Co.
Houston, Harris Co.
El Paso, El Paso Co.
Irving, Dallas Co.
Houston, Harris Co.
Houston, Harris Co.
Dallas, Dallas Co.
Houston, Harris Co.
4,362 tracked events covering 883,620 known roles via layoffs.fyi, through Aug 2026. Events without disclosed headcount remain in the event total. Cause is not attributed.
United States
United States
United States
United States
United States
United States
United States
United States
United States
United States
Canada
Israel
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AI-cited events are curated from public employer statements and reporting; every displayed row has a source. Challenger measures U.S. announced cuts by employer-stated reason. Layoffs.fyi tracks global tech/startup layoffs across all causes. WARN rows are official Texas notices and do not state a cause. Occupational exposure is our O*NET and BLS model, not a layoff count.
The figures are never added together. Sources overlap and describe different populations, geographies, and concepts. Known-role and known-worker totals exclude events whose headcount was not disclosed.
Read the scoring methodology Review all data sources
Note: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.