Global overview

How AI is reshaping work

Explore how exposed jobs are to generative AI in 183 countries and 4,579 regions, by sector and occupation, alongside real data on AI preparedness and AI use. Click any country on the map.

1 in 4
workers worldwide are in an occupation with some exposure to generative AI.
ILOILO, Generative AI and Jobs (2025)

At a glance

Modelled figures apply ILO-style occupation exposure to real ILO employment data. See Methodology.

Workers in exposed jobsMODEL
757.8M
21% of 3.6B jobs modelled
Highest-exposure jobsMODEL
118.1M
3.3% of all jobs
Women’s jobs exposedMODEL
25%
vs 19% of men’s
Most exposed sectorMODEL
Finance
56% of its jobs
Countries with AI usage dataANTHROPIC
121
1,157 regions
Organisations using AI
88%
Stanford AI Index 2026

Top 10: AI exposure

MODEL

Ranked by the metric shown on the map. 183 countries with data.

Exposure by income level

Richer economies have more clerical, professional and technical jobs, which are the most exposed.

This modelILO estimate
High income 35%
Upper-middle income 21%
Lower-middle income 16%
Low income 13%

Exposure by sector

MODEL

Share of each sector’s jobs exposed to generative AI, worldwide.

Exposure vs AI preparedness

Each dot is a country. Exposure is modelled; preparedness is the IMF AI Preparedness Index. Countries in the top left are highly exposed but less prepared.

How the world uses AI

ANTHROPIC

Claude.ai conversations, April–May 2026.

What conversations are for

Work 44%Personal 39%Coursework 16%

How people work with AI

Augmentation (human stays in the loop) 51%Automation (AI completes the task) 49%

Occupations whose tasks people bring to AI

Computer and Mathematical 24.7%
Arts, Design, Entertainment, Sports, and Media 13.7%
Educational Instruction and Library 12.8%
Sales and Related 9.0%
Office and Administrative Support 7.9%
Management 6.0%
Business and Financial Operations 5.8%
Life, Physical, and Social Science 4.7%

Latest research

1 in 4
One in four workers worldwide is in an occupation with some exposure to generative AI.
About 20.5% of jobs sit in moderate exposure gradients and 3.3% in the highest.
−19%
Employment of 22–25-year-olds in the most AI-exposed occupations is 19% below where it would be had it kept pace with less-exposed peers.
Experienced workers in the same occupations show no such gap; the shortfall comes mainly from reduced hiring. The authors describe these as descriptive, not causal, findings.
No clear break
Across the wider US labour market there is still no discernible disruption from AI; measures of AI usage show no link to employment or unemployment.
The occupational mix is changing only about 1 percentage point faster than during the early internet era.
Yale Budget Lab & Brookings, Tracking the Impact of AI on the Labor Market · Updated Oct 2026
120,136
US employers cited AI in 120,136 announced job cuts between January and September 2026, about 21% of all cuts and the leading stated reason this year.
That compares with 54,836 in all of 2025. These are reasons employers give in announced plans, not confirmed layoffs.
Challenger, Gray & Christmas, September 2026 Challenger Report · Oct 2026
+78M
Employers expect 170 million jobs to be created and 92 million displaced by 2030, a net gain of 78 million.
Creation plus displacement equals 22% of today’s formal jobs. 86% of employers expect AI and information processing to transform their business, and 40% expect to reduce staff where AI can automate tasks.
World Economic Forum, Future of Jobs Report 2025 · Jan 2025

More findings →

AI exposure by sector

Countries