Abridge
Headcount not disclosed
AI check: Source unreadable; retrying
Read sourceLatest reports, live charts and source-linked context on job cuts.
All-cause tech layoffs · Page 107 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.
~4,699 roles reported across 5 of 9 events.
Headcount not disclosed
AI check: Source unreadable; retrying
Read source20 reported roles
AI check: No employer AI attribution found
Read source108 reported roles
AI check: No employer AI attribution found
Read sourceSource: layoffs.fyi - all causes, not AI-specific. Role totals include only events that disclosed a number. "AI check" is the daily review of whether the employer itself cited AI; see the daily AI-attribution check.
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 - 898,770 known roles cut.
Via layoffs.fyi - all causes, not AI-specific. Checked Nov 9; latest event Nov 6. Events without disclosed headcount remain in the event total.
official WARN filings from California, Colorado, Maryland, Texas and Virginia, through Nov 2026 - 404,815 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 399 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 | 41 | 2,827 | 20 |
| 2026-09 | 33 | 6,947 | 21 |
| 2026-10 | 28 | 5,096 | 15 |
| 2026-11 (partial) | 11 | 5,029 | 7 |
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.
2 employer cited AI · 14 no employer AI attribution found · 3 source unreadable. Newest 10 shown.
A layoff joins the list below only when the employer's own words, quoted verbatim in a published report, give AI as a reason for the cuts. When the original source blocks automated reading, other outlets' reports of the same layoff are checked instead. "No employer AI attribution found" means the reports we could read did not show the employer citing AI; it does not rule out AI as a factor.
500 roles per layoffs.fyi; Nice (company statement): "Nice is making changes to its organizational structure and resource allocation to better serve customers implementing AI-driven customer experience solutions at an enterprise scale. As part of this plan, we anticipate reducing our global workforce by approximately 5%." (automated weekly review)
190 roles per layoffs.fyi; CEO Dirk-Peter van Leeuwen: "What is clear is that automation and AI are fundamentally shifting how software companies operate. AI capabilities are advancing exponentially, forcing us to radically reimagine our work. We have seen this trend already both inside our sector and in the wider economy. This means that the organizational design and cost base that SUSE is built on today will not carry us forward successfully." (automated daily review)
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.
4,163 official WARN filings from California, Colorado, Maryland, Texas and Virginia covering 404,815 known workers, through Nov 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.
Santa Clara County, CA (37); San Diego County, CA (25)
Riverside County, CA
Anne Arundel, MD
San Diego County, CA
Los Angeles County, CA (28); Orange County, CA (13)
San Francisco County, CA
Baltimore County, MD
Orange County, CA
Orange County, CA
Los Angeles County, CA
Los Angeles County, CA
Los Angeles County, CA
4,446 tracked events covering 898,770 known roles via layoffs.fyi, through Nov 2026. Events without disclosed headcount remain in the event total. Cause is not attributed.
United States
Estonia
United States
Pakistan
United States
United States
Germany
Israel
United States
India
United States
Canada
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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.