AI Workforce Displacement Briefing
May 2026
168,700,000
US workers assessed across 3,649 professions
~56.2M protected
~68.1M changing
~44.3M at risk
Based on the AI Job Resistance Index (AIJRI) — 8-dimension scoring across every US occupation using BLS employment data. Average score: 45.1/100.
It’s Already Happening
Meta cuts 8,000 jobs and Microsoft offers first-ever buyouts as Big Tech converts payroll into AI capital expenditure
Meta and Microsoft announced significant workforce reductions on April 23, impacting up to 23,000 positions combined....
Google
Anthropic CEO makes shocking admission about AI - TheStreet
Anthropic CEO Dario Amodei warns that AI could eliminate up to 50% of all entry-level white-collar jobs within one to...
Google
78,557 Tech Workers Cut In Q1 2026 As AI Automation Accelerates | Smart Chunks
In Q1 2026, tech companies globally slashed 78,557 jobs, with 76.7% of these cuts occurring in the U.S. Nearly half (...
Google
Challenger Report: March Cuts Rise 25% From February, AI Leads Reasons
In March 2026, US-based employers announced 60,620 job cuts, a 25% increase from February, with Artificial Intelligen...
Google
Most Exposed Industries
| Industry Domain | Risk | |
|---|---|---|
| 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 |
Safest: Trades & Physical (60.5), Veterinary & Animal Care (59.8), Military (57.6)
Evidence-Based Policy Actions
1
Measure It
Mandatory AI Displacement Reporting — require companies to report AI-driven workforce changes quarterly. You cannot manage what you cannot measure.
See: AI-Related Job Impacts Clarity Act (S.3108)
2
Fund Transitions
AI Transition Support Fund — federal matching grants for worker retraining in AI-affected industries. Target Red zone occupations first.
Model: South Korea’s ₩1.4T AI talent investment
3
Set Standards
AI Literacy Framework — adopt the DOL’s 5-area AI literacy standard for workforce development programmes nationwide.
Already published: DOL AI Literacy Framework (Feb 2026)
Source: jobzonerisk.com/policymakers
3,649 professions scored · 28 industry domains · 47 data sources including BLS, OECD, McKinsey, Oxford
Data updated continuously · Methodology: AIJRI v3.2
3,649 professions scored · 28 industry domains · 47 data sources including BLS, OECD, McKinsey, Oxford
Data updated continuously · Methodology: AIJRI v3.2
Data as of May 2026