AI & jobs · Department in Peru
Lambayeque
22%
of jobs here are estimated to be exposed to generative AI, above the national 21% (+1.0 pts).
MODEL3rd of 26 regions129K exposed workers
Key numbers
PopulationWIKIDATA
1.4M
as of 2026
Share of national populationWIKIDATA
3.2%
8th largest of 26
People in workMODEL
580K
national total × population share
Highest-exposure jobsMODEL
3.9%
national 3.7%
Area
13.6K km²
101 people per km²
Settlement patternMODEL
Mixed
50% live in major cities
Largest city
Chiclayo
597K (metro)
Mapped towns & cities
5
Natural Earth places
AI use
ANTHROPICClaude.ai conversations, April–May 2026.
Usage intensityANTHROPIC
0.60×
usage share ÷ population share
Share of national useANTHROPIC
1.9%
3.2% of population
Work-relatedANTHROPIC
27%
national 38%
Automation-styleANTHROPIC
50%
national 49%
Augmentation 50%Automation 50%
Sector mix
MODELEstimated share of jobs by sector, against the national mix.
Lambayeque
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 17% exposed
- Lima Province 25% exposed
- Piura 22% exposed
- La Libertad 22% exposed
- Arequipa 22% exposed
- Cajamarca 21% exposed
- Cusco Departament 21% 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