AI & jobs · State in Germany
North Rhine-Westphalia
39%
of jobs here are estimated to be exposed to generative AI, above the national 39% (+0.5 pts).
MODEL7th of 16 regions3.6M exposed workers
Key numbers
PopulationWIKIDATA
17.9M
as of 2022
Share of national populationWIKIDATA
21.6%
1st largest of 16
People in workMODEL
9.1M
national total × population share
Highest-exposure jobsMODEL
8.3%
national 8.2%
Area
34.4K km²
520 people per km²
Settlement patternMODEL
Urban
44% live in major cities
Largest city
Essen
1.7M (metro)
Mapped towns & cities
9
Natural Earth places
AI use
ANTHROPICClaude.ai conversations, April–May 2026.
Usage intensityANTHROPIC
0.88×
usage share ÷ population share
Share of national useANTHROPIC
19.0%
21.6% of population
Work-relatedANTHROPIC
40%
national 40%
Automation-styleANTHROPIC
47%
national 46%
Augmentation 54%Automation 47%
Sector mix
MODELEstimated share of jobs by sector, against the national mix.
North Rhine-Westphalia
Germany
Exposed workers by sector
MODELRanking in Germany
MODELBy modelled AI exposure, out of 16 regions.
About these estimates. No source publishes AI exposure by region for every country. The model splits Germany's real ILO sector employment across regions using population (Wikidata) and density: denser, capital-city regions get more finance, ICT and professional jobs, and rural regions more farming. Totals match national figures. AI usage figures are measured, not modelled. Methodology
Other regions of Germany
- Bavaria 38% exposed
- Baden-Württemberg 40% exposed
- Lower Saxony 38% exposed
- Hesse 40% exposed
- Rhineland-Palatinate 37% exposed
- Saxony 39% exposed
- Berlin 42% exposed
- Schleswig-Holstein 38% exposed
- Brandenburg 37% exposed
- Saxony-Anhalt 37% exposed
- Thuringia 38% exposed
- Hamburg 41% exposed
- Mecklenburg-Western Pomerania 38% exposed
- Saarland 40% exposed
- Free Hanseatic Bremen 41% exposed