AI & jobs · Province in Philippines
Isabela
21%
of jobs here are estimated to be exposed to generative AI, below the national 23% (−2.6 pts).
MODEL102nd of 118 regions150K exposed workers
Key numbers
PopulationWIKIDATA
1.7M
as of 2024
Share of national populationWIKIDATA
1.4%
19th largest of 118
People in workMODEL
720K
national total × population share
Highest-exposure jobsMODEL
3.8%
national 4.5%
Area
10K km²
173 people per km²
Settlement patternMODEL
Rural
0% live in major cities
Mapped towns & cities
0
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.
Isabela
Philippines
Exposed workers by sector
MODELRanking in Philippines
MODELBy modelled AI exposure, out of 118 regions.
About these estimates. No source publishes AI exposure by region for every country. The model splits Philippines'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 Philippines
- Metro Manila 28% exposed
- Davao 26% exposed
- Cavite 22% exposed
- Zamboanga Peninsula 25% exposed
- Bulacan 22% exposed
- Laguna 24% exposed
- Rizal 22% exposed
- Bohol 21% exposed
- Pangasinan 21% exposed
- Batangas 25% exposed
- Negros Occidental 24% exposed
- Pampanga 22% exposed
- Nueva Ecija 24% exposed
- Quezon City 27% exposed
- Iloilo City 26% exposed
- Camarines Sur 21% exposed
- Quezon 21% exposed
- Leyte 21% exposed
- Maguindanao 21% exposed
- Bukidnon 21% exposed
- Tarlac 24% exposed
- Negros Oriental 21% exposed
- Iloilo 21% exposed
- Cebu City 27% exposed
- Cebu 21% exposed
- Albay 25% exposed
- Lanao del Sur 21% exposed
- Cotabato City 26% exposed
- North Cotabato 21% exposed
- Cagayan 24% exposed