AI Job Atlas
AI & jobs · Province in Philippines

Lanao del Sur

Province PH-LAS
21%
of jobs here are estimated to be exposed to generative AI, below the national 23% (−2.3 pts).
MODEL51st of 118 regions120K exposed workers

Key numbers

PopulationWIKIDATA
1.4M
as of 2024
Share of national populationWIKIDATA
1.1%
28th largest of 118
People in workMODEL
568K
national total × population share
Highest-exposure jobsMODEL
3.9%
national 4.5%
Area
3,894 km²
351 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

MODEL

Estimated share of jobs by sector, against the national mix.

Lanao del Sur Philippines
Agriculture 29.3%
Retail & wholesale 20.0%
Construction 10.3%
Manufacturing 8.1%
Transport & logistics 6.8%
Other services 6.3%
Public admin 4.8%
Business services 4.1%
Hospitality 3.8%
Education 3.0%
Health & care 1.3%
Finance 0.8%
ICT & software 0.5%
Mining 0.5%
Utilities 0.4%

Exposed workers by sector

MODEL
Retail & wholesale 35.3K Public admin 12.5K Agriculture 11.9K Transport & logistics 8,551 Other services 8,289 Manufacturing 8,039 Business services 7,716 Education 7,392

Ranking in Philippines

MODEL

By modelled AI exposure, out of 118 regions.

48Camarines Sur 21% 49Biliran 21% 50Camiguin 21% 51Lanao del Sur 21% 52Maguindanao 21% 53Leyte 21% 54Aklan 21%
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

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