AI & jobs · Province in Philippines

Nueva Ecija

Province PH-NUE Largest city: Cabanatuan
24%
of jobs here are estimated to be exposed to generative AI, above the national 23% (+0.6 pts).
MODEL31st of 118 regions239K exposed workers

Key numbers

PopulationWIKIDATA
2.4M
as of 2024
Share of national populationWIKIDATA
1.9%
13th largest of 118
People in workMODEL
995K
national total × population share
Highest-exposure jobsMODEL
4.6%
national 4.5%
Area
5,427 km²
441 people per km²
Settlement patternMODEL
Mixed
9% live in major cities
Largest city
Cabanatuan
220K (metro)
Mapped towns & cities
1
Natural Earth places

AI use

ANTHROPIC

Claude.ai conversations, April–May 2026.

Usage is published for the wider Central Luzon area (7 map regions), so these figures describe that whole area.
Usage intensityANTHROPIC
0.62×
usage share ÷ population share
Area’s share of national useANTHROPIC
6.2%
1.9% of population
Work-relatedANTHROPIC
45%
national 45%
Automation-styleANTHROPIC
48%
national 49%
Augmentation 52%Automation 48%

Sector mix

MODEL

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

Nueva Ecija Philippines
Retail & wholesale 23.1%
Agriculture 17.1%
Construction 11.4%
Manufacturing 8.7%
Transport & logistics 7.7%
Other services 7.3%
Business services 6.2%
Public admin 6.1%
Hospitality 4.4%
Education 3.3%
Health & care 1.5%
Finance 1.4%
ICT & software 0.9%
Mining 0.4%
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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