AI & jobs · Department in Peru
Lima
17%
of jobs here are estimated to be exposed to generative AI, below the national 21% (−3.9 pts).
MODEL26th of 26 regions740K exposed workers
Key numbers
PopulationWIKIDATA
10.1M
as of 2025
Share of national populationWIKIDATA
23.3%
1st largest of 26
People in workMODEL
4.3M
national total × population share
Highest-exposure jobsMODEL
2.7%
national 3.7%
Area
32.6K km²
311 people per km²
Settlement patternMODEL
Very rural
1% live in major cities
Largest city
Huaura
40.4K (metro)
Mapped towns & cities
4
Natural Earth places
AI use
ANTHROPICClaude.ai conversations, April–May 2026.
Usage intensityANTHROPIC
1.47×
usage share ÷ population share
Share of national useANTHROPIC
68.5%
23.3% of population
Work-relatedANTHROPIC
40%
national 38%
Automation-styleANTHROPIC
47%
national 49%
Augmentation 53%Automation 47%
Sector mix
MODELEstimated share of jobs by sector, against the national mix.
Lima
Peru
Exposed workers by sector
MODELRanking in Peru
MODELBy modelled AI exposure, out of 26 regions.
About these estimates. No source publishes AI exposure by region for every country. The model splits Peru'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 Peru
- Lima Province 25% exposed
- Piura 22% exposed
- La Libertad 22% exposed
- Arequipa 22% exposed
- Cajamarca 21% exposed
- Cusco Departament 21% exposed
- Lambayeque 22% exposed
- Junín 22% exposed
- Callao 24% exposed
- Puno 21% exposed
- Áncash 22% exposed
- Ica 22% exposed
- Loreto 21% exposed
- San Martín 20% exposed
- Huanuco 21% exposed
- Ayacucho 21% exposed
- Ucayali 21% exposed
- Amazonas 19% exposed
- Apurímac 20% exposed
- Tacna 22% exposed
- Tumbes 22% exposed
- Huancavelica 20% exposed
- Pasco 22% exposed
- Madre de Dios 21% exposed
- Moquegua 22% exposed