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TJS Job Displacement & Trends Hub

Job Displacement Tracker
Data current as of March 15, 2026
AI-cited layoffs trending +8% YoY
62 occupations tracked • 75+ layoff events • 80+ sources

Job Displacement Tracker

Tracking the structural transformation of global labor markets driven by AI, automation, and economic shifts. Data aggregated from IMF, WEF, Anthropic, OpenAI, BLS, WARN Act filings, and 80+ additional sources.

40%
Global jobs exposed iIMF Staff Discussion Note, Jan 2024
View source
92M
Roles displaced by 2030 iWEF Future of Jobs Report 2025
View source
170M
New roles created iWEF Future of Jobs Report 2025
View source
$4.4T
Annual productivity gain iMcKinsey Global Institute, 2023-2025
View source
Latest
01

Real-World Layoff Tracker

75+ announced layoffs • 2024–2026 • AI attribution classified
AI-cited layoffs trending: 0.6% (2024) → 4.5% (2025) → ~8% (2026 Q1)
71,825+
Cumulative AI-cited cuts
Since Challenger began tracking (2023)
13x
AI share acceleration
From 0.6% (2024) to 8% (Q1 2026)
496K
Total tracked layoffs
Across 59 verified events (2024-2026)
AI share of announced layoffs by year
0.6%
2024
→
4.5%
2025
→
~8%
2026 Q1
AI-Direct
AI-Adjacent
Business Cycle
Hover bars for breakdown
5,200+
WARN filings (2024+)
290K+
Workers affected
34
States scraped
750+
Matched to tracked companies
WARN Act filings from state labor departments • Legally mandated 60-day advance notice • Source: Stanford warn-scraper (34 states)
Context: AI-Washing
Not all "AI layoffs" are what they appear. Some companies cite AI as cover for standard business cycle cuts.
"Some companies are blaming AI for layoffs that are really about cost-cutting."
— Sam Altman, CEO, OpenAI • Yale Budget Lab: 33 months post-ChatGPT, "negligible" disruption in aggregate labor data
02

Occupation Risk Dashboard

62 occupations cross-referenced from 13+ sources
Critical Risk — >80% Automation Probability 18 occupations
OccupationRisk RangeExposureSourcesUS Jobs
Telemarketers96–99%
EDsmart, Frey/Osborne, OpenAI113,000
Data Entry Keyers67–95%
Anthropic, WEF, BLS152,000
Bookkeeping/Accounting Clerks94–95%
EDsmart, WifiTalents1,540,000
Admin Assistants / Exec Secretaries90–96%
WifiTalents, WEF (−6.1M)3,300,000
High Risk — 60–80% 18 occupations
Customer Service Representatives67–80%
Anthropic (70.1%), Gartner2,900,000
Computer Programmers48–74.5%
Anthropic (74.5%), Goldman156,000
Paralegals & Legal Assistants80–85%
WifiTalents, DemandSage345,000
Moderate Risk — 40–60% 12 occupations
Financial & Investment Analysts35–57%
Anthropic, WifiTalents328,000
Software QA Analysts52%
Anthropic, Brookings199,000
Low Risk — AI Augments, Not Replaces 14 occupations
Registered NursesVery low
BLS (+6% growth)3,175,000
ElectriciansVery low
BLS (+9% growth)762,000
Wind Turbine TechniciansVery low
BLS (+45% growth)12,000
03

Career Transition Pathways

27 researched routes • 14 reskill • 5 trades • 8 entrepreneurship • salary, training, demand data
0 selected
04

Skills Transition

Fastest growing vs declining roles • WEF Future of Jobs 2025
▲ Growing Roles
+ Farmworkers
+ Delivery Drivers
+ Software Developers
+ Construction Workers
+ Nursing Professionals
▼ Declining Roles
− Cashiers & Ticket Clerks
− Administrative Assistants
− Executive Secretaries
− Data Entry Clerks
− Bank Tellers
Emerging: AI Prompt EngineersHuman-AI SpecialistsAI Ethics OfficersML SpecialistsSustainability Specialists
05

Industry Impact Tracker

Projected TFP/GDP growth and productivity recovery timelines
Technology & ICT
15–20% Recovery: 1–2 yr
Automated coding & R&D
Finance & Banking
12–15% Recovery: 2–3 yr
Algorithmic risk & back-office
Professional Services
10–14% Recovery: 2–4 yr
Document generation & research
Manufacturing
8–12% Recovery: 4–5 yr
Predictive maintenance & robotics
Healthcare
5–8% Recovery: 5+ yr
Diagnostics & admin automation
06

Who's Most Affected

Demographic impact analysis • Stanford, ILO, WEF
Youth Ages 22–25
-16%
Relative employment decline in AI-exposed occupations vs. experienced workers.
Mechanism: entry-level skill substitution • Stanford DEL
Women
2x
Automation exposure compared to men. Overrepresentation in admin and support roles.
Mechanism: clerical concentration • ILO, OECD
Entry-Level Tech
-58%
Hiring drop in US tech sector for entry-level positions in early 2025.
Mechanism: junior role elimination • Goldman Sachs
Middle-Skill Workers
Hollowing Out
Routine office roles — the backbone of the middle class — face the highest erosion risk.
Mechanism: routine task automation • IMF, WEF
07

Regional Tracker

Exposure and readiness by economic region
Region Exposure Readiness Level
USA / Advanced Economies 60%
High
China / East Asia 40–50%
High
Southeast Asia (ASEAN) 30–40%
Mixed
Latin America / Africa 20–30%
Low
08

The Productivity Paradox

J-Curve effect • MIT Sloan, Penn Wharton
0% -1.33% +7% Initial dip Long-term growth Adoption Transition Maturity
-1.33%
Initial productivity dip
+7%
Long-term GDP boost
+3.7%
Permanent GDP increase by 2075
09

Action Center

Transition pathways • authoritative resources
Reskill Now
Only 4.1% of 1.4B workers needing reskilling have completed AI training
DOL AI Literacy Framework, experiential learning, Google/IBM certificates.
DOL Framework →
Explore Trades
439,000 new construction workers needed in 2025 alone
40% of graduates pivoting to skilled trades. Electrician, HVAC, plumbing demand surging.
BLS Outlook →
Entrepreneurship
67% more entrepreneurs launched ventures after AI-related layoffs
AI-augmented micro-businesses. Domain expertise consulting. Startup costs $200–$5K.
SBA Guide →
Know Your Rights
EU AI Act workplace protections effective August 2026
AI in hiring, performance evaluation, and termination now regulated. WIOA training vouchers available.
EU AI Act →
10

Sources & Methodology

80+ sources cited • full list in production version
Primary Research PapersOpenAI, Anthropic, MIT, Oxford, OECD, ILO, IMF
International OrganizationsWEF, World Bank, UNDP, ASEAN
Industry ReportsGoldman Sachs, McKinsey, PwC, Gartner
GovernmentDOL, BLS, EU AI Act
Academic & Think TanksBrookings, Stanford, Penn Wharton, Yale, Harvard
Data AggregatorsEDsmart, DemandSage, WifiTalents, Layoffs.fyi
Career & TrainingCoursera, O*NET, CareerOneStop, BLS OOH
Company Filings & PressSEC filings, WARN Act, press releases
Job Displacement Tracker • Tech Jacks Solutions
Data aggregated from IMF, WEF, Anthropic, OpenAI, Goldman Sachs, MIT, OECD, BLS, WARN Act filings (34 states), and 80+ additional authoritative sources. Risk scores represent ranges across multiple methodologies.
Last updated: March 15, 2026 • Static dataset • Next refresh: Q2 2026