AI Job Atlas
AI & jobs · Province in Philippines

Samar

Province PH-WSA Largest city: Calbayog
24%
of jobs here are estimated to be exposed to generative AI, above the national 23% (+0.1 pts).
MODEL34th of 118 regions78.8K exposed workers

Key numbers

PopulationWIKIDATA
806K
as of 2024
Share of national populationWIKIDATA
0.7%
47th largest of 118
People in workMODEL
335K
national total × population share
Highest-exposure jobsMODEL
4.5%
national 4.5%
Area
5,602 km²
144 people per km²
Settlement patternMODEL
Mixed
8% live in major cities
Largest city
Calbayog
67.9K (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

MODEL

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

Samar Philippines
Retail & wholesale 22.7%
Agriculture 18.8%
Construction 11.3%
Manufacturing 8.6%
Transport & logistics 7.6%
Other services 7.1%
Public admin 5.9%
Business services 5.9%
Hospitality 4.3%
Education 3.3%
Health & care 1.5%
Finance 1.3%
ICT & software 0.8%
Mining 0.5%
Utilities 0.4%

Exposed workers by sector

MODEL
Retail & wholesale 23.6K Public admin 9,011 Business services 6,528 Transport & logistics 5,623 Other services 5,537 Manufacturing 5,082 Education 4,711 Agriculture 4,497

Ranking in Philippines

MODEL

By modelled AI exposure, out of 118 regions.

31Nueva Ecija 24% 32Laguna 24% 33Cagayan 24% 34Samar 24% 35Ilocos Sur 23% 36Cavite 22% 37Rizal 22%
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

All of Philippines →