AI Job Displacement Statistics 2026
The definitive collection of data on how AI and automation are reshaping the American workforce — sourced from BLS, academic research, and real-time tracking.
Last updated: May 2026 · Sources: Bureau of Labor Statistics, O*NET, Frey & Osborne, OECD, Eloundou et al., WARN Act filings
Overall AI Impact
925
U.S. occupations analyzed for AI automation risk
14%
of occupations score 70+ (high risk) on our composite index
38%
of occupations have moderate risk (40–69)
48%
of occupations score below 40 (low risk)
47.3
average composite AI risk score across all occupations
300M
jobs globally could be affected by AI (Goldman Sachs, 2023)
Most At-Risk Occupations
92
risk score — Data Entry Keyers, the highest-scoring occupation
89
risk score — Telemarketers, second highest
85
risk score — Bookkeeping, Accounting, and Auditing Clerks
82
risk score — Tax Preparers
78
risk score — Loan Officers
76
risk score — Insurance Underwriters
Least At-Risk Occupations
8
risk score — Surgeons, among the lowest-risk occupations
11
risk score — Mental Health Counselors
12
risk score — Firefighters
14
risk score — Electricians
15
risk score — Emergency Medical Technicians
16
risk score — Choreographers
Industry-Level Risk
62
average risk — Financial Services, highest industry risk
58
average risk — Information Technology
55
average risk — Administrative & Support Services
28
average risk — Construction, among the lowest
24
average risk — Healthcare Support
22
industries tracked with sector-level automation data
Layoffs & Workforce Changes
324
companies tracked for AI-related layoffs and restructuring
260K+
tech layoffs tracked in 2023 (layoffs.fyi)
150K+
tech layoffs tracked in 2024
60-day
advance notice required by WARN Act for mass layoffs
51
states & territories monitored for WARN Act filings
393
metro areas analyzed for local AI displacement risk
GenAI-Specific Exposure
80%
of U.S. workers have at least one task exposed to LLMs (Eloundou et al.)
19%
of workers have 50%+ of tasks exposed to LLMs
15%
weight GenAI exposure carries in our composite score
2023
year the Eloundou et al. GPT exposure study was published
Want to check your own occupation?
Search our database of 925 occupations to see your personal AI risk score, task breakdown, and career transition options.
Frequently Asked Questions
How many jobs will AI eliminate by 2030?
Estimates vary widely. Goldman Sachs projects 300 million jobs globally could be affected, while the World Economic Forum estimates 85 million displaced but 97 million new roles created. Our data shows ~14% of U.S. occupations face high automation risk, but 'affected' doesn't mean 'eliminated' — most jobs will transform.
What percentage of jobs are at risk from AI?
Based on our composite analysis of 925 U.S. occupations, about 14% score 70+ (high risk), 38% score 40–69 (moderate risk), and 48% score below 40 (low risk). The majority of workers will see AI change some of their tasks, not replace their entire role.
Which industries are losing the most jobs to AI?
Financial services, information technology, and administrative support consistently score highest for AI automation risk. Industries requiring physical presence and human interaction — healthcare, construction, emergency services — score lowest.
How reliable are AI job displacement predictions?
Historical predictions of automation-driven job loss have consistently overestimated displacement and underestimated job creation. Our approach uses multiple data sources (BLS, O*NET, academic research, real-time layoff data) to provide a more nuanced, evidence-based picture.
Related Analysis
Methodology: Statistics on this page are derived from our composite scoring methodology, which weights five data sources: Frey/Osborne automation probability (30%), OECD task analysis (20%), BLS employment projections (20%), real-time layoff signals (15%), and GenAI exposure (15%). External statistics are cited inline with their original source.