AI & jobs · Country profile
Ecuador
18%
of jobs are in occupations exposed to generative AI. That's about 1.6M people.
MODEL140th of 183 most exposed
World 21%Upper-middle income 21%
Key numbers
Workers in exposed jobsMODEL
1.6M
of 8.7M in work
Highest-exposure jobsMODEL
2.3%
195K people
People in workILO
8.7M
41% women
UnemploymentWORLD BANK
3.3%
2025
Youth unemploymentWORLD BANK
8.2%
ages 15–24
GDP per capitaWORLD BANK
$7,125
US$, 2025
Internet usersWORLD BANK
77%
of population
AI preparednessIMF
0.44
89th of 165
PopulationWORLD BANK
18.3M
Tertiary enrolmentWORLD BANK
68%
gross ratio
Vulnerable employmentWORLD BANK
50%
own-account & family workers
Urban populationWORLD BANK
63%
Women and men
MODELBased on the real occupation mix of women’s and men’s jobs (ILO).
Women are +6.4 pts more exposed, mostly because they hold more clerical and administrative jobs.
How it compares
MODELAI preparedness
IMFEcuadorUpper-middle income average
IMF AI Preparedness Index (2023). The four parts sum to the overall score of 0.44 (0–1 scale).
Exposure vs preparedness
Ecuador is highlighted. The other dots are all countries with both measures.
Sources: ILO modelled estimates 2025 · World Bank WDI · IMF AIPI · Anthropic Economic Index · Wikidata · Natural Earth. How the estimates are made.
Regions of Ecuador
- Guayas 20% exposed
- Pichincha 21% 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