01 · The ledger
AI-attributed layoffs, entry by entry
Updated
This ledger records 21 layoff events publicly attributed to AI — at least 28,086 exact-count jobs across 6 industries. Every figure carries a precision label — exact, range or % — and links to its primary source.
21 entries · 28,086 exact-count jobs in view
| Company | Roles displaced | Stated reason & source | ||
|---|---|---|---|---|
| HPTechnology · United States | 4,000–6,000Range | VariousHardware · Consumer Electronics | Streamlining operations and leveraging AI to speed up product development and boost efficiency TechCrunch ↗ | |
| DeepwatchTechnology · United States | 60–80Range | VariousCybersecurity | AI cited as one of the factors behind the layoffs at this AI-powered threat detection company TechCrunch ↗ | |
| PaycomTechnology · United States | 500Exact | Back-officeHR Technology · Payroll Software | AI and automation improving back-office efficiencies TechCrunch ↗ | |
| GoogleTechnology · United States | 100Exact | Design rolesCloud Computing · Design | Shift in focus toward AI investments CNBC/TechCrunch ↗ | |
| Just EatTechnology · United Kingdom | 450Exact | Customer Service, SalesFood Delivery · E-commerce | Increasing use of automation and AI, shifting manual service tasks to automated systems Reuters/TechCrunch ↗ | |
| FiverrTechnology · Israel | 30%% of staff | VariousFreelance Marketplace · Gig Economy | Restructuring to become AI-native and AI-focused company Wall Street Journal/TechCrunch ↗ | |
| Recruit Holdings (Indeed, Glassdoor)Recruitment · Japan | 1,300Exact | HR, R&D, SustainabilityAdvertising · Tech | Partial AI automation of HR roles TechCrunch ↗ | |
| MicrosoftTechnology · United States | 9,000Exact | Developer, PM, SalesSoftware · AI · Cloud | Invest more on AI TechCrunch ↗ | |
| Indeed + GlassdoorTechnology · United States | 1,300Exact | R&D, HR, SustainabilityRecruitment · Job Search | Restructuring to combine operations and focus on AI TechCrunch ↗ | |
| AtlassianTechnology · Australia | 150Exact | Customer Service, SupportEnterprise Software · Collaboration Tools | Platform and tool enhancements significantly reduced support needs; co-founder urged embracing AI revolution TechCrunch ↗ | |
| FDAGovernment · United States | 2,000Exact | Policy Officer, PMPharma · Public Health | Partial AI automation of policy and drug approval roles New York Times ↗ | |
| McKinsey & CompanyConsulting · United States | 6,000Exact | Developer, PMManagement · Enterprise · Govt | Partial AI automation of consulting roles Fortune ↗ | |
| Business InsiderMedia · United States | 21%% of staff | N/APublishing | Roles replaced by AI Variety ↗ | |
| ImmutableTechnology · Australia | 74Exact | Developer, Designer, PM, Sales, MarketingWeb3 · Gaming | Roles replaced by AI Tech in Asia ↗ | |
| KlarnaFinance · Sweden | 40%% of staff | CustServFinTech | AI automation of customer service roles CNBC ↗ | |
| MicrosoftTechnology · United States | 6,000Exact | Developer, PMSoftware · AI · Cloud | Invest more on AI Marketing AI Institute ↗ | |
| CanvaTechnology · Australia | 12Exact | Technical WritersDesign · Software | AI automation of technical writing roles Startup Daily ↗ | |
| CanvaTechnology · Australia | 10–12Range | Technical WritersDesign Software · SaaS | Laid off technical writers nine months after telling employees to use generative AI tools wherever possible TechCrunch ↗ | |
| SalesforceTechnology · United States | 1,000Exact | SalesCloud · Enterprise | AI automation of sales roles Tech Monitor ↗ | |
| DuolingoTechnology · United States | 10%% of staff | TranslatorEdTech | AI automation of translator roles TechCrunch ↗ | |
| BildMedia · Germany | 200Exact | Editor, PhotoEditor, ProofReaderPublishing | AI automation of editorial roles CNN ↗ |
Only exact counts feed totals; percentages are of the affected workforce unless noted. Methodology
02 · By country
Net job impact by country
Job losses attributed to AI set against new AI-related roles, aggregated per country. Only exact counts feed the loss totals; percentage and ranged cuts count as events.
Country AI Labor Market Impact Leaderboard
Tracks AI-driven job losses (unemployment) and job creation (employment) by country. Net impact = jobs created − jobs lost (job losses sum numeric values only; percentage/range-based layoffs are excluded from the job-loss count).
| # | Country | Layoff Events | |||
|---|---|---|---|---|---|
| 1 | India | — | 145,000 | +145,000 | 0 |
| 2 | United States | 25,900 | 142,000 | +116,100 | 12 |
| 3 | Japan | 1,300 | 30,000 | +28,700 | 1 |
| 4 | Canada | — | 22,000 | +22,000 | 0 |
| 5 | United Kingdom | 450 | 18,000 | +17,550 | 1 |
| 6 | Germany | 200 | 12,000 | +11,800 | 1 |
| 7 | Australia | 236 | 9,500 | +9,264 | 4 |
| 8 | Sweden | — | 5,000 | +5,000 | 1 |
| 9 | Israel | — | — | 0 | 1 |
03 · By role
Roles displaced — and roles created
Customer service, translation and editorial roles recur most often as directly replaced; AI engineering, ML operations and data roles dominate the new hiring.
AI Impact on Job Roles Leaderboard
Tracks which job roles have suffered the most (unemployment, layoff events) and which have benefited the most (jobs created, role origin) as a result of AI adoption.
| # | Role | Industries Affected | Companies | ||
|---|---|---|---|---|---|
| 1 | PM | 5 | 23,074 | TechnologyConsultingGovernment | MicrosoftImmutableMcKinsey & Company+1 more |
| 2 | Developer | 4 | 21,074 | TechnologyConsulting | MicrosoftImmutableMcKinsey & Company |
| 3 | Sales | 4 | 10,524 | Technology | MicrosoftImmutableSalesforce+1 more |
| 4 | Technical Writers | 2 | 12 | Technology | Canva |
| 5 | HR | 2 | 2,600 | RecruitmentTechnology | Recruit Holdings (Indeed, Glassdoor)Indeed + Glassdoor |
| 6 | R&D | 2 | 2,600 | RecruitmentTechnology | Recruit Holdings (Indeed, Glassdoor)Indeed + Glassdoor |
| 7 | Sustainability | 2 | 2,600 | RecruitmentTechnology | Recruit Holdings (Indeed, Glassdoor)Indeed + Glassdoor |
| 8 | Customer Service | 2 | 600 | Technology | Just EatAtlassian |
| 9 | Editor | 1 | 200 | Media | Bild |
| 10 | PhotoEditor | 1 | 200 | Media | Bild |
| 11 | ProofReader | 1 | 200 | Media | Bild |
| 12 | CustServ | 1 | — | Finance | Klarna |
| 13 | Translator | 1 | — | Technology | Duolingo |
| 14 | Designer | 1 | 74 | Technology | Immutable |
| 15 | Marketing | 1 | 74 | Technology | Immutable |
| 16 | Policy Officer | 1 | 2,000 | Government | FDA |
| 17 | Back-office | 1 | 500 | Technology | Paycom |
| 18 | Design roles | 1 | 100 | Technology | Google |
| 19 | Support | 1 | 150 | Technology | Atlassian |
04 · Macro signalsIllustrative — pending sourced data
Unemployment, wages, productivity and AI capital
Labor productivity and AI capital expenditure set against unemployment drift — the core tension this tracker measures.
Global AI capex (annualized)
$560B
▲ +41% y/y · company filings
Revenue per employee, AI-first cohort
$2.1M
vs $438K S&P 500 median · filings
05 · SentimentIllustrative — pending sourced data
How workers — and headlines — feel about AI
Worker approval of AI's impact on their own job set against the tone of media coverage.
Workforce sentiment
Quarterly survey, n = 12,400 workers · Q2 2026
38% expect their role to change materially within 3 years; approval is highest among workers already using AI daily (57%).
Headline sentiment
1,840 AI-and-jobs headlines scored · Q2 2026
Negative share is down 6pp vs Q1 2026; job-creation stories are the fastest-growing headline category.
06 · Displacement riskIllustrative — pending sourced data
Occupations most exposed through 2030
Composite risk scores blend academic exposure models with what has actually been cut in this tracker. Roles requiring physical presence or discretionary judgment score lowest.
Probability of substantial automation of core tasks by 2030 — composite of published exposure models weighted by observed AI-attributed cuts in this dataset.
07 · Agentic workforceIllustrative — pending sourced data
Zero-person companies and agent-run operations
A zero-person company is a revenue-generating business whose day-to-day operations run end-to-end on AI agents, with no full-time employees.
134
Zero-person companies tracked · +51 YTD
31%
Of tracked support volume handled end-to-end by agents
12
Zero-person companies above $1M annual revenue
08 · Regulation watchIllustrative — pending sourced data
Labor-market rules responding to AI
Disclosure is the dominant regulatory pattern: jurisdictions increasingly require employers to say when AI is a factor in mass layoffs, rather than restricting the technology itself.
09 · Reports
Recurring analysis
Every dataset update feeds three recurring publications with rankings, correlations and trend analysis across the full indicator set.
Monthly Pulse
New entries, biggest movers, and the month's net employment impact at a glance.
Monthly · Latest analysis
Quarterly Net Impact Review
Correlations across layoffs, capex, productivity and sentiment; country and sector rankings.
Quarterly · Latest analysis
State of AI & Work (annual)
Full-year analysis including displacement-risk revisions and the agentic-workforce census.
Annual · Latest analysis
10 · Common questions
Frequently asked questions
How many jobs have been lost to AI?
This tracker records at least 28,086 job cuts across 19 companies in 7 countries where AI or automation was publicly cited as a driver. Percentage-based and ranged cuts are tracked as reported but never summed, so the true total is higher.
Which companies have had the largest AI-related layoffs?
The largest AI-attributed layoffs with exact counts tracked to date are Microsoft (9,000), McKinsey & Company (6,000), FDA (2,000), Recruit Holdings (Indeed, Glassdoor) (1,300), Indeed + Glassdoor (1,300).
Which roles are most affected by AI layoffs?
Sales, developer and product roles account for the largest numeric cuts, driven by big-tech restructurings, while customer service, translation and editorial roles recur most often as directly replaced by AI.
Is AI creating jobs too?
Yes — the tracker records roughly 383,500 new AI-related roles over the same period, led by AI engineering, machine-learning operations, data and AI product roles.
How often is this data updated?
New entries are added as reports are verified. Every entry links to a primary source, and percentage or ranged figures are recorded exactly as reported.
Which jobs are most at risk from AI by 2030?Illustrative — pending sourced data
Composite displacement-risk scores (illustrative, pending sourced data) put telemarketing (87%), data entry (81%), customer service (72%), translation (68%), bookkeeping (64%) and paralegal work (52%) at highest risk of substantial automation by 2030.
What is a zero-person company?Illustrative — pending sourced data
A revenue-generating company whose day-to-day operations are run end-to-end by AI agents with no full-time employees. The illustrative census in this design tracks 134 such companies, 12 of them above $1M annual revenue.
11 · Methodology
How this tracker is built
What gets included
- Layoffs where the company or credible reporting explicitly cites AI or automation as a driver.
- Exact headcounts when disclosed; percentages and ranges are recorded as reported, never estimated into totals.
- Job-creation figures from labor-market data providers and official statistics.
Primary sources
Reuters, CNBC, CNN, TechCrunch, Fortune, Variety and other established outlets for layoff entries; LinkedIn Economic Graph, the World Economic Forum, NASSCOM and national statistics offices for employment data. Each row links directly to the source it came from.
Normalization
Every figure carries the precision it was reported with:
Only exact counts feed headline totals; percentage and ranged cuts appear in the table exactly as reported.
Contribute & corrections
Got a tip about the latest round of AI layoffs — or spotted an error? Share it with us at @AILayoffs and help make this database the most comprehensive resource for tracking AI-related layoffs.