AI & jobs · Country profile
Peru
21%
of jobs are in occupations exposed to generative AI. That's about 3.9M people.
MODEL112th of 183 most exposed
World 21%Upper-middle income 21%
Key numbers
Workers in exposed jobsMODEL
3.9M
of 18.3M in work
Highest-exposure jobsMODEL
3.7%
673K people
People in workILO
18.3M
45% women
UnemploymentWORLD BANK
5.1%
2025
Youth unemploymentWORLD BANK
9.4%
ages 15–24
GDP per capitaWORLD BANK
$9,684
US$, 2025
Internet usersWORLD BANK
82%
of population
AI preparednessIMF
0.49
72nd of 165
PopulationWORLD BANK
34.6M
Tertiary enrolmentWORLD BANK
71%
gross ratio
Vulnerable employmentWORLD BANK
48%
own-account & family workers
Urban populationWORLD BANK
86%
Women and men
MODELBased on the real occupation mix of women’s and men’s jobs (ILO).
Women are +6.3 pts more exposed, mostly because they hold more clerical and administrative jobs.
How it compares
MODELAI preparedness
IMFPeruUpper-middle income average
IMF AI Preparedness Index (2023). The four parts sum to the overall score of 0.49 (0–1 scale).
Exposure vs preparedness
Peru 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 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
- 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