AI & jobs · Autonomous Community in Spain

Cáceres

Autonomous Community ES-CC
30%
of jobs here are estimated to be exposed to generative AI, below the national 34% (−3.8 pts).
MODEL43rd of 52 regions51.3K exposed workers

Key numbers

PopulationWIKIDATA
388K
as of 2024
Share of national populationWIKIDATA
0.8%
35th largest of 52
People in workMODEL
172K
national total × population share
Highest-exposure jobsMODEL
5.5%
national 6.5%
Area
20.1K km²
19 people per km²
Settlement patternMODEL
Very rural
0% live in major cities
Mapped towns & cities
0
Natural Earth places

AI use

ANTHROPIC

Claude.ai conversations, April–May 2026.

Usage is published for the wider Extremadura area (2 map regions), so these figures describe that whole area.
Usage intensityANTHROPIC
0.28×
usage share ÷ population share
Area’s share of national useANTHROPIC
0.6%
0.8% of population
Work-relatedANTHROPIC
45%
national 45%
Automation-styleANTHROPIC
50%
national 49%
Augmentation 51%Automation 50%

Sector mix

MODEL

Estimated share of jobs by sector, against the national mix.

Cáceres Spain
Retail & wholesale 14.0%
Manufacturing 13.3%
Agriculture 12.2%
Health & care 9.4%
Hospitality 8.4%
Education 7.9%
Construction 7.2%
Other services 6.9%
Business services 6.0%
Transport & logistics 5.8%
Public admin 5.2%
ICT & software 1.4%
Utilities 1.3%
Finance 0.9%
Mining 0.2%

Exposed workers by sector

MODEL

Ranking in Spain

MODEL

By modelled AI exposure, out of 52 regions.

About these estimates. No source publishes AI exposure by region for every country. The model splits Spain'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

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