AI & jobs · Country profile
Mongolia
22%
of jobs are in occupations exposed to generative AI. That's about 301K people.
MODEL105th of 183 most exposed
World 21%Upper-middle income 21%
Key numbers
Workers in exposed jobsMODEL
301K
of 1.4M in work
Highest-exposure jobsMODEL
2.7%
36.7K people
People in workILO
1.4M
44% women
UnemploymentWORLD BANK
5.2%
2025
Youth unemploymentWORLD BANK
11.7%
ages 15–24
GDP per capitaWORLD BANK
$7,108
US$, 2025
Internet usersWORLD BANK
85%
of population
AI preparednessIMF
0.48
74th of 165
PopulationWORLD BANK
3.6M
Tertiary enrolmentWORLD BANK
69%
gross ratio
Vulnerable employmentWORLD BANK
38%
own-account & family workers
Urban populationWORLD BANK
71%
Women and men
MODELBased on the real occupation mix of women’s and men’s jobs (ILO).
Women are +12.5 pts more exposed, mostly because they hold more clerical and administrative jobs.
How it compares
MODELAI preparedness
IMFMongoliaUpper-middle income average
IMF AI Preparedness Index (2023). The four parts sum to the overall score of 0.48 (0–1 scale).
Exposure vs preparedness
Mongolia 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 Mongolia
- Ulaanbaatar 25% exposed
- Khövsgöl 19% exposed
- Selenge 24% exposed
- Darkhan-Uul 14% exposed
- Orkhon 24% exposed
- Övörkhangai 20% exposed
- Bayan-Ölgii 21% exposed
- Arkhangai 19% exposed
- Töv 19% exposed
- Khovd 20% exposed
- Bayankhongor 20% exposed
- Uvs 21% exposed
- Dornod 21% exposed
- Khentii 19% exposed
- Zavkhan 17% exposed
- Dornogovi 18% exposed
- Ömnögovi 19% exposed
- Bulgan 20% exposed
- Sükhbaatar 19% exposed
- Govi-Altai 22% exposed
- Dundgovi 15% exposed
- Govisümber 14% exposed