Interactive map of AI job displacement risk for 206 countries. Scores built from ILO ILOSTAT labour force survey data and ISCO-08 occupation classifications. Hover any country, filter by region.
Each country score is a weighted average of AI exposure across all occupation groups in that country's workforce. A country with a large share of clerical and professional workers - the two highest-risk groups - will score higher than a country dominated by agricultural and craft workers.
The score does not measure how advanced a country's AI adoption is. It measures how exposed the existing workforce is if AI deployment reaches the levels researchers project by 2028. A high score is not inevitable - it depends on deployment speed, regulation, and how quickly workers can reskill.
Data source: ILO ILOSTAT labour force surveys, ISCO-08 classification, AI exposure scores derived from Felten, Raj, and Seamans (2018) and cross-validated against BLS O*NET task data. All scores on a 0-10 scale.
| Score | Risk level | What it means |
|---|---|---|
| 5.0+ | High | Large professional and clerical workforce. Significant displacement risk in 1-3 years. |
| 3.5-5.0 | Mid | Mixed workforce. Some high-risk occupations but offset by lower-risk sectors. Risk emerges 3-6 years. |
| 2.5-3.5 | Lower | Workforce dominated by manual, agricultural, or trade occupations. AI impact comes later or through different channels. |
| <2.5 | Resilient | Heavily agricultural or subsistence economies. Lower near-term AI risk but face robotics and climate disruption instead. |
The map shows country-level averages. Your personal risk depends on your specific occupation. Take the 5-question quiz to get your individual score - free, no credit card, takes 90 seconds.