Which country has the highest AI job risk?

Luxembourg has the highest workforce-weighted AI exposure score globally at 5.87/10, followed by other high-income countries with large service and finance sectors. Countries with more agricultural and manual workforces tend to score lower.

How many countries does WorldJobsData cover?

WorldJobsData covers 206 countries and territories, from Tier A countries like the United States, Germany and Japan with 41 detailed ISCO-08 occupation groups, to Tier C countries with 9-10 broad occupation categories. All data is sourced from official government and intergovernmental statistics.

What data is available for each country?

Each country page shows AI exposure scores, robotics risk, WFH potential and offshoring risk by occupation group, plus total workforce size, employment share per occupation, and average wages where available. Tier A countries (21 nations) include full wage data and 41 occupation groups. All other countries show 9-10 broad groups.

Where does the country workforce data come from?

Data comes from official government sources including ILO ILOSTAT, the US Bureau of Labor Statistics (BLS), UK Office for National Statistics (ONS), Eurostat, the Australian Bureau of Statistics (ABS), Statistics Canada, and the OECD. All sources are cited on each individual country page.

Is the workforce data free to use?

Yes. WorldJobsData is completely free with no login required. All country pages, rankings, and interactive visualizations are openly accessible. The underlying government statistics are published under open data licenses.

AI Job Risk by Country - 206 Countries

Key findings

Luxembourg leads globally with the highest workforce AI exposure score at 5.87/10, followed by Macao (5.74) and the Netherlands (5.44). High-income economies with large professional and service sectors dominate the top rankings. Germany ranks 9th globally at 5.3/10 -- Europe's largest economy also faces among the fastest disruption timelines, scoring 9.6/10 for risk velocity. At the other end, sub-Saharan countries such as Tanzania (2.85/10) and Rwanda (2.91/10) score lowest, reflecting agriculture-heavy workforces where physical labour remains difficult to automate. The global workforce-weighted average across all 206 countries is approximately 4.2/10. Data covers employment, wages, and four automation risk dimensions for every country.

206countries

5.87highest AI score (Luxembourg)

2.85lowest AI score (Tanzania)

4risk dimensions tracked

AI Job Risk by Country

Tier A Full data - employment, wages, AI scores (21 countries)

Tier B Employment and AI scores from Eurostat (19 countries)

Tier C ILO employment data with time-series 2010-2025 (166 countries)