AI & jobs · Province in Philippines

La Union

Province PH-LUN
21%
of jobs here are estimated to be exposed to generative AI, below the national 23% (−2.2 pts).
MODEL45th of 118 regions72.7K exposed workers

Key numbers

PopulationWIKIDATA
825K
as of 2024
Share of national populationWIKIDATA
0.7%
46th largest of 118
People in workMODEL
343K
national total × population share
Highest-exposure jobsMODEL
3.9%
national 4.5%
Area
1,600 km²
516 people per km²
Settlement patternMODEL
Rural
0% live in major cities
Mapped towns & cities
0
Natural Earth places

AI use

ANTHROPIC

Claude.ai conversations, April–May 2026.

Usage is published for the wider Ilocos Region area (4 map regions), so these figures describe that whole area.
Usage intensityANTHROPIC
0.35×
usage share ÷ population share
Area’s share of national useANTHROPIC
1.5%
0.7% of population
Work-relatedANTHROPIC
47%
national 45%
Automation-styleANTHROPIC
54%
national 49%
Augmentation 46%Automation 54%

Sector mix

MODEL

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

La Union Philippines
Agriculture 28.7%
Retail & wholesale 20.2%
Construction 10.3%
Manufacturing 8.1%
Transport & logistics 6.9%
Other services 6.3%
Public admin 4.9%
Business services 4.2%
Hospitality 3.9%
Education 3.0%
Health & care 1.3%
Finance 0.9%
ICT & software 0.5%
Mining 0.5%
Utilities 0.4%

Exposed workers by sector

MODEL

Ranking in Philippines

MODEL

By 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

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