AI & jobs · Department in Uruguay
Canelones
26%
of jobs here are estimated to be exposed to generative AI, below the national 29% (−3.7 pts).
MODEL19th of 19 regions74.2K exposed workers
Key numbers
PopulationWIKIDATA
609K
as of 2023
Share of national populationWIKIDATA
17.4%
2nd largest of 19
People in workMODEL
291K
national total × population share
Highest-exposure jobsMODEL
5.0%
national 6.0%
Area
4,572 km²
133 people per km²
Settlement patternMODEL
Very rural
6% live in major cities
Largest city
Canelones
19.7K (metro)
Mapped towns & cities
2
Natural Earth places
AI use
The Anthropic Economic Index does not publish usage for this region. Regions below a minimum number of sampled conversations are left out.
Sector mix
MODELEstimated share of jobs by sector, against the national mix.
Canelones
Uruguay
Exposed workers by sector
MODELRanking in Uruguay
MODELBy modelled AI exposure, out of 19 regions.
About these estimates. No source publishes AI exposure by region for every country. The model splits Uruguay'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 Uruguay
- Montevideo 31% exposed
- Maldonado 30% exposed
- Salto 29% exposed
- Colonia 27% exposed
- Paysandú 29% exposed
- San José 28% exposed
- Rivera 30% exposed
- Tacuarembó 29% exposed
- Cerro Largo 29% exposed
- Soriano 29% exposed
- Rocha 29% exposed
- Artigas 29% exposed
- Florida 28% exposed
- Durazno 29% exposed
- Lavalleja 29% exposed
- Río Negro 28% exposed
- Treinta y Tres 29% exposed
- Flores 29% exposed