AI & jobs · Province in Ecuador
Pichincha
21%
of jobs here are estimated to be exposed to generative AI, above the national 18% (+3.1 pts).
MODEL1st of 24 regions331K exposed workers
Key numbers
PopulationWIKIDATA
3.1M
as of 2022
Share of national populationWIKIDATA
18.2%
2nd largest of 24
People in workMODEL
1.6M
national total × population share
Highest-exposure jobsMODEL
2.8%
national 2.3%
Area
9,420 km²
328 people per km²
Settlement patternMODEL
Highly urban
62% live in major cities
Largest city
Quito
1.7M (metro)
Mapped towns & cities
3
Natural Earth places
AI use
ANTHROPICClaude.ai conversations, April–May 2026.
Usage intensityANTHROPIC
2.52×
usage share ÷ population share
Share of national useANTHROPIC
45.9%
18.2% of population
Work-relatedANTHROPIC
45%
national 40%
Automation-styleANTHROPIC
52%
national 51%
Augmentation 48%Automation 52%
Sector mix
MODELEstimated share of jobs by sector, against the national mix.
Pichincha
Ecuador
Exposed workers by sector
MODELRanking in Ecuador
MODELBy modelled AI exposure, out of 24 regions.
About these estimates. No source publishes AI exposure by region for every country. The model splits Ecuador'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 Ecuador
- Guayas 20% exposed
- Manabí 17% exposed
- Los Ríos 15% exposed
- Azuay 18% exposed
- El Oro 18% exposed
- Tungurahua 13% exposed
- Esmeraldas 17% exposed
- Santo Domingo de los Tsáchilas 12% exposed
- Loja 17% exposed
- Chimborazo 18% exposed
- Cotopaxi 16% exposed
- Imbabura 18% exposed
- Santa Elena 15% exposed
- Cañar 17% exposed
- Bolívar 15% exposed
- Sucumbíos 12% exposed
- Morona-Santiago 14% exposed
- Orellana 12% exposed
- Carchi 18% exposed
- Napo 19% exposed
- Pastaza 14% exposed
- Zamora Chinchipe 14% exposed
- Galápagos 17% exposed