AI & jobs · Department in Uruguay
Soriano
29%
of jobs here are estimated to be exposed to generative AI, below the national 29% (−0.5 pts).
MODEL13th of 19 regions11.5K exposed workers
Key numbers
PopulationWIKIDATA
83.7K
as of 2023
Share of national populationWIKIDATA
2.4%
11th largest of 19
People in workMODEL
39.9K
national total × population share
Highest-exposure jobsMODEL
5.8%
national 6.0%
Area
9,032 km²
9 people per km²
Settlement patternMODEL
Mixed
51% live in major cities
Largest city
Mercedes
42.4K (metro)
Mapped towns & cities
1
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.
Soriano
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
- Canelones 26% 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
- 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