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: July 25, 2026 · Sources: Bureau of Labor Statistics, O*NET, Frey & Osborne, OECD, Eloundou et al., Goldman Sachs, Stanford HAI, McKinsey, 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)
16K
net U.S. jobs eliminated by AI per month (Goldman Sachs, April 2026)
192K
annualized net AI job losses — 25K eliminated, 9K created monthly
57%
of U.S. work hours technically automatable (McKinsey, Nov 2025)
43.7
AI Displacement Reality Index score, up from 24.3 in 2024 (Axis Intelligence)
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
180K+
AI-linked layoffs in H1 2026 alone (up from ~120K in all of 2025)
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
2026 Emerging Trends
20%
drop in software developer employment ages 22-25 since 2024 (Stanford HAI 2026)
13%
of U.S. layoffs YTD cite AI, up from 4.5% in 2025 (Challenger, Gray & Christmas)
85%
of enterprises will deploy agentic AI by mid-2026 (Gartner)
34%
of U.S. work tasks automatable by current AI, up from 25% in 2023 (Goldman Sachs)
7.5M
data entry and admin roles projected to disappear under agentic AI trajectories
$182B
projected global AI agent market by 2033 (45.8% CAGR from 2025)
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?
Updated estimates: Goldman Sachs (April 2026) measured 16,000 net U.S. jobs eliminated by AI per month — about 192,000 annually. The WEF's 2025 Future of Jobs Report projects 92 million roles displaced globally by 2030 but 170 million created (net +78M). Our data shows ~14% of U.S. occupations face high automation risk. The key nuance: AI is suppressing new hiring — especially entry-level — more than eliminating existing positions.
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.