Circle
Headcount not disclosed
Read sourceLatest reports, live charts and source-linked context on job cuts.
All-cause tech layoffs · Page 362 of 371. Back to the latest overview
Four different measures answer four different questions. They are shown together for context, but they are never added together.
~5,291 roles reported across 6 of 8 events.
Headcount not disclosed
Read source3,000 reported roles
Read source1,271 reported roles
Read sourceSource: layoffs.fyi - all causes, not AI-specific. Role totals include only events that disclosed a number.
U.S. jobs cut citing AI in 2026 - 21% of all announced cuts.
Source: Challenger, Gray & Christmas, latest available: Sep 2026. Employer-stated reason; not an independent causality finding.
U.S. workers in High+ AI-exposure roles - 190 of 996 occupations and 28% of measured employment.
O*NET and BLS exposure model. Snapshot recomputed Nov 1, 2026; current empirical release includes the Anthropic Economic Index (June 26, 2026). Exposure, not a layoff count. Methodology.
layoff events tracked, 2020-2026 - 901,996 known roles cut.
Via layoffs.fyi - all causes, not AI-specific. Checked Nov 5; latest event Nov 4. Events without disclosed headcount remain in the event total.
official WARN filings from California, Colorado, Maryland, Texas and Virginia, through Oct 2026 - 400,077 known workers.
Government mass-layoff notices. Employers must file qualifying notices, but the filing does not state a cause. Each state's own coverage window is listed on the evidence hub.
Global tech/startups · all causes
Source: layoffs.fyi. 2025-12 to 2026-11. Striped bar: current month, still incomplete. Headcounts were disclosed for 246 of 396 events; known roles are a partial total.
| Month | Events | Known roles | Counts disclosed |
|---|---|---|---|
| 2025-12 | 21 | 1,552 | 12 |
| 2026-01 | 31 | 9,183 | 23 |
| 2026-02 | 27 | 7,349 | 19 |
| 2026-03 | 34 | 14,998 | 20 |
| 2026-04 | 36 | 5,085 | 22 |
| 2026-05 | 45 | 11,442 | 32 |
| 2026-06 | 49 | 26,503 | 29 |
| 2026-07 | 43 | 10,270 | 26 |
| 2026-08 | 42 | 2,991 | 21 |
| 2026-09 | 33 | 6,947 | 21 |
| 2026-10 | 28 | 5,096 | 15 |
| 2026-11 (partial) | 7 | 5,291 | 6 |
120,136 U.S. announced cuts cited AI, year to date through September 2026.
Source: Challenger, Gray & Christmas. Employer-stated reason; this does not prove AI caused each cut. This U.S. share is not the share of global tech layoffs.
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 (California, Colorado, Maryland, Texas and Virginia). "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 9% of the 43,281 U.S. job cuts Challenger recorded for September 2026 (3,961 cuts).
Challenger, Gray & Christmas, 2026AI-attributed cuts reached 120,136 year to date through September 2026, about 21% of the 573,195 U.S. cuts Challenger tracked.
Challenger, Gray & Christmas, 2026AI remained the most-cited reason for announced U.S. job cuts in 2026 through September; in September itself it ranked fifth.
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.
About 30-35 of 255 staff; company statement: "a reorganization process aimed at aligning our structure and workflows with the AI era".
~7% of staff in a restructuring around an AI-focused strategy ("delivering outcomes for them with AI"). CEO Yamini Rangan said the decision "is not driven by AI-related efficiencies."
About 400 FTE in Technology & Services; CEO Kjerstin Braathen: "AI is changing the way we work and how we deliver services to our customers."
About 15% of positions (no count disclosed); the 8-K plan includes "integrating AI-driven product development".
Up to 145 of 597 roles (58 in Finland); CEO Timo Laaksonen: "AI is changing the way we work and operate, as well as the threats we defend against."
~12% of a 2,613-person workforce; CEO Wael Mohamed said the restructuring is "creating capacity to increase our investments in cutting-edge artificial intelligence-driven solutions."
~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.
4,108 official WARN filings from California, Colorado, Maryland, Texas and Virginia covering 400,077 known workers, through Oct 2026. These filings are authoritative notices, but they do not state a cause and are not AI-specific. One employer's several sites on one notice date are one row; its notes list every site.
Virginia, VA
Statewide, MD
Montgomery County, MD
Location of CO workers not stated, CO
Danville, VA
Roanoke, VA
San Francisco County, CA
Los Angeles County, CA
Los Angeles County, CA
San Diego County, CA
San Francisco County, CA
Alameda County, CA
4,444 tracked events covering 901,996 known roles via layoffs.fyi, through Nov 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
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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 state notices (California, Colorado, Maryland, Texas and Virginia) 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
For an AI writer’s interpretation and practical suggestions, read the daily AI perspectives blog. Opinions are separate from the data above.
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.