AI & jobs · Capital in Maldives
Malé
32%
of jobs here are estimated to be exposed to generative AI, above the national 30% (+2.5 pts).
MODEL1st of 21 regions21K exposed workers
Key numbers
PopulationWIKIDATA
133K
as of 2014
Share of national populationWIKIDATA
25.1%
1st largest of 21
People in workMODEL
65.3K
national total × population share
Highest-exposure jobsMODEL
6.0%
national 5.4%
Area
35 km²
3,801 people per km²
Settlement patternMODEL
Highly urban
85% live in major cities
Largest city
Malé
113K (metro)
Mapped towns & cities
1
Natural Earth places
AI use
ANTHROPICClaude.ai conversations, April–May 2026.
Usage intensityANTHROPIC
3.92×
usage share ÷ population share
Share of national useANTHROPIC
98.4%
25.1% of population
Work-relatedANTHROPIC
52%
Automation-styleANTHROPIC
52%
Augmentation 48%Automation 52%
Sector mix
MODELEstimated share of jobs by sector, against the national mix.
Malé
Maldives
Exposed workers by sector
MODELRanking in Maldives
MODELBy modelled AI exposure, out of 21 regions.
About these estimates. No source publishes AI exposure by region for every country. The model splits Maldives'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 Maldives
- Haa Dhaalu Atoll 29% exposed
- Haa Alif Atoll 29% exposed
- Laamu Atoll 29% exposed
- Addu Atoll 27% exposed
- Thaa Atoll 29% exposed
- Lhaviyani Atoll 29% exposed
- Shaviyani Atoll 29% exposed
- Raa Atoll 29% exposed
- Alif Dhaal Atoll 29% exposed
- Gaafu Dhaalu Atoll 29% exposed
- Noonu Atoll 29% exposed
- Kaafu Atoll 28% exposed
- Dhaalu Atoll 29% exposed
- Faafu Atoll 29% exposed
- Meemu Atoll 29% exposed
- Baa Atoll 29% exposed
- Gnaviyani Atoll 29% exposed
- Gaafu Alif Atoll 29% exposed
- Alif Alif Atoll 27% exposed
- Vaavu Atoll 26% exposed