AI & jobs · Country profile
Sri Lanka
19%
of jobs are in occupations exposed to generative AI. That's about 1.6M people.
MODEL132nd of 183 most exposed
World 21%Upper-middle income 21%
Key numbers
Workers in exposed jobsMODEL
1.6M
of 8.5M in work
Highest-exposure jobsMODEL
2.9%
244K people
People in workILO
8.5M
33% women
UnemploymentWORLD BANK
4.0%
2025
Youth unemploymentWORLD BANK
18.6%
ages 15–24
GDP per capitaWORLD BANK
$5,002
US$, 2025
Internet usersWORLD BANK
55%
of population
AI preparednessIMF
0.44
91st of 165
PopulationWORLD BANK
21.8M
Tertiary enrolmentWORLD BANK
21%
gross ratio
Vulnerable employmentWORLD BANK
39%
own-account & family workers
Urban populationWORLD BANK
20%
Women and men
MODELBased on the real occupation mix of women’s and men’s jobs (ILO).
Women are +7.6 pts more exposed, mostly because they hold more clerical and administrative jobs.
How it compares
MODELAI preparedness
IMFSri LankaUpper-middle income average
IMF AI Preparedness Index (2023). The four parts sum to the overall score of 0.44 (0–1 scale).
Exposure vs preparedness
Sri Lanka is highlighted. The other dots are all countries with both measures.
Sources: ILO modelled estimates 2025 · World Bank WDI · IMF AIPI · Anthropic Economic Index · Wikidata · Natural Earth. How the estimates are made.
Regions of Sri Lanka
- Monaragala 18% exposed
- Kurunegala 18% exposed
- Ampara 18% exposed
- Polonnaruwa 18% exposed
- Ratnapura 20% exposed
- Galle 22% exposed
- Badulla 20% exposed
- Trincomalee 21% exposed
- Hambantota 18% exposed
- Batticaloa 22% exposed
- Mullaitivu 18% exposed
- Anuradhapura 19% exposed
- Puttalam 20% exposed
- Matale 18% exposed
- Vavuniya 18% exposed
- Mannar 18% exposed
- Kandy 22% exposed
- Nuwara Eliya 18% exposed
- Kalutara 18% exposed
- Kegalle 18% exposed
- Gampaha 18% exposed
- Matara 22% exposed
- Kilinochchi 22% exposed
- Colombo 25% exposed
- Jaffna 24% exposed