AI & jobs · Country profile
Latvia
30%
of jobs are in occupations exposed to generative AI. That's about 270K people.
MODEL53rd of 183 most exposed
World 21%High income 35%
Key numbers
Workers in exposed jobsMODEL
270K
of 889K in work
Highest-exposure jobsMODEL
4.4%
39.2K people
People in workILO
889K
50% women
UnemploymentWORLD BANK
6.6%
2025
Youth unemploymentWORLD BANK
12.9%
ages 15–24
GDP per capitaWORLD BANK
$26,312
US$, 2025
Internet usersWORLD BANK
93%
of population
AI preparednessIMF
0.63
33rd of 165
PopulationWORLD BANK
1.8M
Tertiary enrolmentWORLD BANK
83%
gross ratio
Vulnerable employmentWORLD BANK
9%
own-account & family workers
Urban populationWORLD BANK
69%
Women and men
MODELBased on the real occupation mix of women’s and men’s jobs (ILO).
Women are +13.6 pts more exposed, mostly because they hold more clerical and administrative jobs.
How it compares
MODELAI preparedness
IMFLatviaHigh income average
IMF AI Preparedness Index (2023). The four parts sum to the overall score of 0.63 (0–1 scale).
Exposure vs preparedness
Latvia 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 Latvia
- Riga 33% exposed
- Ventspils Rajons 29% exposed
- Daugavpils municipality 32% exposed
- Daugavpils 29% exposed
- Liepāja 32% exposed
- Jelgava 32% exposed
- Jūrmala 30% exposed
- Jelgavas Rajons 29% exposed
- Ogre 29% exposed
- Ventspils 32% exposed
- Valka 29% exposed
- Tukums 29% exposed
- Talsi 29% exposed
- Rezeknes 29% exposed
- Rezekne 32% exposed
- Ķekava 29% exposed
- Salaspils 30% exposed
- Rujienas 29% exposed
- Mazsalacas 29% exposed
- Nauksenu 29% exposed
- Apes 29% exposed
- Smiltenes 29% exposed
- Strencu 29% exposed
- Beverinas 29% exposed
- Burtnieku 29% exposed
- Kocenu 29% exposed
- Vecpiebalgas 29% exposed
- Raunas 29% exposed
- Priekulu 29% exposed
- Pargaujas 29% exposed
- Jaunpiebalgas 29% exposed
- Lubanas 29% exposed
- Varaklanu 29% exposed
- Amatas 29% exposed
- Erglu 29% exposed
- Cesvaines 29% exposed
- Valmiera 30% exposed
- Ligatnes 29% exposed
- Bauska 29% exposed
- Kuldīga 29% exposed
- Madona 29% exposed
- Mārupe 30% exposed
- Saldus 29% exposed
- Olaine 29% exposed
- Jekabpils Rajons 29% exposed
- Jekabpils 30% exposed
- Dobele 29% exposed
- Gulbene 29% exposed
- Sigulda 29% exposed
- Limbaži 29% exposed
- Cēsis 29% exposed
- Krāslava 29% exposed
- Alūksne 29% exposed
- Stopiņi 30% exposed
- Ādaži 29% exposed
- Ludza 29% exposed
- Balvi 29% exposed
- Babīte 29% exposed
- Ozolnieki 29% exposed
- Līvāni 29% exposed
- Lielvārde 29% exposed
- Garkalne 29% exposed
- Carnikava 29% exposed
- Viļāni 29% exposed
- Preiļi 29% exposed
- Iecava 29% exposed
- Grobiņa 29% exposed
- Aizpute 29% exposed
- Aizkraukle 29% exposed
- Vecumnieki 29% exposed
- Inčukalns 29% exposed
- Kandava 29% exposed
- Salacgrīva 29% exposed
- Engure 29% exposed
- Saulkrasti 29% exposed
- Ropaži 29% exposed
- Dagda 29% exposed
- Ilūkste 29% exposed
- Auce 29% exposed
- Brocēni 29% exposed
- Krustpils 29% exposed
- Baldone 29% exposed
- Ķegums 29% exposed
- Kārsava 29% exposed
- Jaunjelgava 29% exposed
- Priekule 29% exposed
- Koknese 29% exposed
- Krimulda 29% exposed
- Pļaviņas 29% exposed
- Skrunda 29% exposed
- Aloja 29% exposed
- Viļaka 29% exposed
- Riebiņi 29% exposed
- Ikskile 29% exposed
- Viesīte 29% exposed
- Dundaga 29% exposed
- Skrīveri 29% exposed
- Roja 29% exposed
- Mālpils 29% exposed
- Rundāle 29% exposed
- Nereta 29% exposed
- Tērvete 29% exposed
- Sala 29% exposed
- Nīca 29% exposed
- Aglona 29% exposed
- Durbe 29% exposed
- Zilupe 29% exposed
- Aknīste 29% exposed
- Pāvilosta 29% exposed
- Cibla 29% exposed
- Vaiņode 29% exposed
- Jaunpils 29% exposed
- Sēja 29% exposed
- Rugāji 28% exposed
- Vārkava 29% exposed
- Rucava 28% exposed
- Mērsrags 29% exposed
- Alsunga 29% exposed
- Baltinava 29% exposed