AI & the Labor Market

498 occupations. 5 countries. One methodology.

I scored every major occupation in the Netherlands, the United States, Germany, the United Kingdom and France on AI exposure. Same JPE methodology. Same scale. The data shows: AI changes tasks, not jobs. But not everywhere at the same speed.

498occupations
175M+jobs covered
5countries
Choose a country

Explore by country

🇳🇱

Netherlands

103 occupations · 7M jobs
Avg. AI score
5.1/10
Source
CBS Statline
🇺🇸

United States

105 occupations · 98M jobs
Avg. AI score
4.8/10
Source
BLS Projections 2025-35 + OEWS 2025
🇩🇪

Germany

98 occupations · 33M jobs
Avg. AI score
4.8/10
Source
BA Beschäftigungsstatistik + QuBe
🇬🇧

United Kingdom

106 occupations · 18M jobs
Avg. AI score
5.2/10
Source
ONS APS 2025 + Working Futures
🇫🇷

France

86 occupations · 20M jobs
Avg. AI score
4.8/10
Source
DARES 2024 + Les métiers en 2030
The pattern

Software developers score 9/10 on AI exposure in all five countries. In the Netherlands they were for years among the fastest-growing occupations, and the most exposed occupations grew fastest until 2022. Since then that lead has gone: Dutch developer employment stood still between 2022 and 2025 before picking up again in 2026. The score is the same everywhere. The trajectory depends on whether demand outpaces automation.

Career tools

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Type your job title. Get your AI exposure score, career advice and development tips, plus a 2030 forecast for the Netherlands, the US, Germany, the UK and France. Free. No signup.

🇳🇱
NL Career Scan103 occupations
🇺🇸
US Career Scan105 occupations
🇩🇪
DE Berufsscan98 occupations
🇬🇧
UK Career Scan106 occupations
🇫🇷
FR Career Scan86 occupations
🧭
AI Readiness ScanFor teams & orgs
Cross-country

Same score, different speed

AI exposure is a property of the work, not the country. A bookkeeper processes the same data in Rotterdam, Houston, Munich, London and Paris. What differs is how fast the score translates into actual change.

🇳🇱 Netherlands🇺🇸 United States🇩🇪 Germany🇬🇧 United Kingdom🇫🇷 France
Occupations1031059810686
Jobs covered7M98M33M18M20M
Avg JPE5.14.84.85.24.8
Forecast 2030ROA + AI + robotics (v3)BLS projections + AI + robotics (v3)QuBe + AI + robotics (v3)Working Futures + AI + robotics (v3)Métiers 2030 + AI + robotics (v3)
ClassificationCBS BRC 2014SOC 2018KldB 2010SOC 2020FAP 2021

An audit in September 2026 found that the historical data and forecast model for the US, the UK, Germany and France did not meet our standard. The US, Germany, the UK and France have been rebuilt with JPE forecast v3 on official data. Methodology

Read the full international comparison →
Research

Go deeper

Five countries comparedSame methodology, different labor markets. Structural factors that shape how fast AI changes work.Patterns in the dataDutch data: gainers and decliners, sector balance and part-time analysis.Methodology (NL/general)JPE scoring rubric, forecast model v3 for the Netherlands, the US, Germany, the UK and France, Felten AIOE validation (r = 0.87).US methodologyBLS Employment Projections 2025-35 + AI + robotics (v3), OEWS May 2025, SOC 2018.UK map and forecastSOC 2020, ONS Annual Population Survey 2025 and ASHE 2024. 2030 forecast v3 on the DfE Working Futures baseline.French methodologyFAP 2021, DARES employment and net salaries, Les métiers en 2030 base and the v3 forecast with backtest.DE MethodikKldB 2010, BA statistics, QuBe base and the v3 forecast with backtest. German.Will AI take my job?The short answer, the nuanced answer, and what you should actually do.
Open data

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All datasets free under CC BY 4.0. Download, embed, or access via API.

🇳🇱 NL Dataset🇺🇸 US Dataset🇬🇧 UK Dataset🇩🇪 DE Dataset🇫🇷 FR DatasetAPI endpoint

JPE = Janssen Practical Exposure. By Simon Janssen, CTO at HappyNurse.