AI Layoffs Tracker [March 2026 Data]
Live layoff tracking across the tech industry and beyond. Our database covers 0 layoff events affecting 0 workers at 0 companies — updated daily from public layoff disclosures. We cross-reference layoff data with AI risk scores for 3,649 roles to show which jobs are most vulnerable next.
Monthly Layoff Trend
Layoff events per month over the last 24 months. Hover any bar for exact figures including headcount.
Reading the Trend
The chart reveals the post-pandemic correction (2022–2023 surge) followed by normalisation. But the nature of layoffs has shifted: a growing share now cite AI and automation as restructuring drivers, not just cost-cutting. The volume may be moderating, but the cause is changing.
Are AI Layoffs Increasing?
Year-over-year data showing event counts, total headcount, and the acceleration rate. Red percentages mean the pace increased year-on-year.
| Year | Events | Total Laid Off | YoY Change |
|---|
The Pattern
Layoff events surged in 2022–2023 during the post-pandemic tech correction, then moderated. But the proportion citing AI as a factor has grown steadily. Companies are restructuring workforces around AI capabilities — a structural shift, not a cyclical blip. The question is no longer whether AI drives layoffs, but how fast the restructuring spreads beyond tech.
Layoffs by Industry
Total reported headcount by industry. Technology dominates, but finance, healthcare, and retail show growing displacement as AI adoption widens.
Top 10 Industries by Headcount
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| # | Industry | Events | Laid Off |
|---|
Top 20 Companies by Layoffs
The companies with the highest reported headcount reductions. Inline bars show relative scale. Multiple “events” means a company has had several rounds of cuts.
| # | Company | Laid Off | Rounds |
|---|
Layoffs by Country
Geographic distribution of reported layoffs. The United States dominates due to both tech concentration and reporting bias — US layoffs are more consistently disclosed.
Top 15 Countries by Headcount
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| # | Country | Events | Laid Off |
|---|
Jobs Most at Risk from AI
Layoff data shows where jobs are being cut. Our AIJRI scoring framework shows which specific roles are most vulnerable next. No other layoff tracker offers this — predictive risk scores for 3,649 individual roles:
Why This Matters
Layoff trackers tell you what happened. AIJRI scores predict what happens next. The 20 roles below score lowest on our 0–100 scale — AI can already perform the majority of their core tasks. If your role is on this list, check your full assessment →
| # | Role | Score |
|---|---|---|
| 1 | File Clerks (Mid-Level) | 1.5 /100 |
| 2 | Micro-Task Worker (Online) (Mid-Level) | 1.7 /100 |
| 3 | Data Entry Keyer (Mid-Level) | 2.3 /100 |
| 4 | Word Processor and Typist (Mid-Level) | 2.6 /100 |
| 5 | Vulnerability Tester / Scanner Operator (Entry-Level) | 2.7 /100 |
| 6 | Telephone Operator (Mid-Level) | 3.0 /100 |
| 7 | Virtual Assistant (Entry-to-Mid Level) | 3.2 /100 |
| 8 | Live Chat Support Agent (Entry-to-Mid Level) | 3.4 /100 |
| 9 | Telemarketer (Mid-Level) | 3.4 /100 |
| 10 | Medical Transcriptionist (Mid-Level) | 3.6 /100 |
| 11 | Toll Collector (Mid-Level) | 3.6 /100 |
| 12 | Machine Feeders and Offbearers (Mid-Level) | 3.6 /100 |
| 13 | Procurement Clerks (Mid-Level) | 3.6 /100 |
| 14 | Correspondence Clerk (Mid-Level) | 3.6 /100 |
| 15 | Desktop Publisher (Mid-Level) | 3.7 /100 |
| 16 | Office Machine Operator, Except Computer (Mid-Level) | 3.9 /100 |
| 17 | OnlyFans Chatter / Ghostwriter (Entry-to-Mid Level) | 4.0 /100 |
| 18 | Meter Reader (Mid-Level) | 4.1 /100 |
| 19 | Medical Scribe (Mid-Level) | 4.3 /100 |
| 20 | Insurance Claims and Policy Processing Clerk (Entry-to-Mid) | 4.4 /100 |
AI Risk by Career Domain
Average AIJRI scores across career domains. Lower scores = higher displacement risk. Domains scoring below 40 are in the danger zone.
| Domain | Avg JobZone Score |
|---|---|
| Data | 28.6 |
| Business & Operations | 29.6 |
| Manufacturing | 31.1 |
| Real Estate & Property | 34.5 |
| Cloud & Infrastructure | 35.1 |
| Development | 36.0 |
| Creative & Media | 37.2 |
| Library, Museum & Archives | 39.4 |
| Legal & Compliance | 39.7 |
| Science & Research | 40.7 |
| Retail & Service | 40.8 |
| Government & Public Admin | 42.4 |
| Engineering | 46.0 |
| Transportation | 46.4 |
| Agriculture | 48.1 |
| Cybersecurity | 49.0 |
| Education | 49.1 |
| Other | 50.5 |
| Utilities & Energy | 50.6 |
| Public Safety | 53.0 |
| Religious & Community | 54.4 |
| Social Services | 55.8 |
| AI | 56.0 |
| Sports & Recreation | 56.2 |
| Healthcare | 57.5 |
| Military | 57.6 |
| Veterinary & Animal Care | 59.8 |
| Trades & Physical | 60.5 |
Recent Layoffs
The latest 20 layoff events from our daily-updated database, sorted by date.
| Date | Company | Laid Off |
|---|
Frequently Asked Questions
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Will AI cause mass layoffs?
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About This Data
Layoff data: Aggregated from public layoff disclosures and ingested daily into our database. Covers 0 events from N/A to N/A. Not all records include headcount — 0 of 0 events report numbers.
AIJRI data: 3,649 roles scored using the AIJRI methodology v3. Scores range 0–100. RED <33, GREEN 48+. The layoff and AIJRI datasets are independent — industry categories don’t map 1:1 between sources.
Related: AI & Job Loss · Jobs Most at Risk · AI & Unemployment · All Statistics
About the Authors
Nathan House
AI and cybersecurity expert with 30 years of hands-on experience. Nathan founded StationX (500,000+ students) and built JobZone Risk to ensure people invest their career development in the right direction.
StationX HAL
Custom AI infrastructure built by Nathan House for StationX. HAL co-develops JobZone Risk end-to-end: the scoring methodology, the assessment pipeline, every role assessment, and the statistical analysis that powers these articles — all directed by Nathan.