AI & jobs · Country profile
Brazil
28%
of jobs are in occupations exposed to generative AI. That's about 28.6M people.
MODEL66th of 183 most exposed
World 21%Upper-middle income 21%
Key numbers
Workers in exposed jobsMODEL
28.6M
of 101.9M in work
Highest-exposure jobsMODEL
5.4%
5.5M people
People in workILO
101.9M
43% women
UnemploymentWORLD BANK
6.0%
2025
Youth unemploymentWORLD BANK
14.0%
ages 15–24
GDP per capitaWORLD BANK
$10,713
US$, 2025
Internet usersWORLD BANK
84%
of population
AI preparednessIMF
0.50
65th of 165
PopulationWORLD BANK
212.8M
Tertiary enrolmentWORLD BANK
70%
gross ratio
Vulnerable employmentWORLD BANK
26%
own-account & family workers
Urban populationWORLD BANK
88%
Women and men
MODELBased on the real occupation mix of women’s and men’s jobs (ILO).
Women are +13.1 pts more exposed, mostly because they hold more clerical and administrative jobs.
How it compares
MODELAI preparedness
IMFBrazilUpper-middle income average
IMF AI Preparedness Index (2023). The four parts sum to the overall score of 0.50 (0–1 scale).
Exposure vs preparedness
Brazil 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 Brazil
- São Paulo 29% exposed
- Minas Gerais 27% exposed
- Rio de Janeiro 31% exposed
- Bahia 27% exposed
- Paraná 28% exposed
- Rio Grande do Sul 29% exposed
- Pernambuco 29% exposed
- Ceará 28% exposed
- Pará 26% exposed
- Santa Catarina 28% exposed
- Goiás 26% exposed
- Maranhão 25% exposed
- Paraíba 26% exposed
- Amazonas 29% exposed
- Espírito Santo 30% exposed
- Mato Grosso 25% exposed
- Rio Grande do Norte 27% exposed
- Piauí 25% exposed
- Alagoas 28% exposed
- Federal 32% exposed
- Mato Grosso do Sul 27% exposed
- Sergipe 26% exposed
- Rondônia 25% exposed
- Tocantins 24% exposed
- Acre 25% exposed
- Amapá 30% exposed
- Roraima 25% exposed