AI & jobs · Province in Burkina Faso
Sissili
16%
of jobs here are estimated to be exposed to generative AI, below the national 17% (−0.6 pts).
MODEL20th of 45 regions38.1K exposed workers
Key numbers
PopulationMODEL
≈598K
estimated from area
Share of national populationMODEL
2.5%
13th largest of 45
People in workMODEL
238K
national total × population share
Highest-exposure jobsMODEL
1.3%
national 1.4%
Area
6,965 km²
Settlement patternMODEL
Mixed
5% live in major cities
Largest city
Leo
26.9K (metro)
Mapped towns & cities
1
Natural Earth places
AI use
The Anthropic Economic Index does not publish usage for this region. Regions below a minimum number of sampled conversations are left out.
Sector mix
MODELEstimated share of jobs by sector, against the national mix.
Sissili
Burkina Faso
Exposed workers by sector
MODELRanking in Burkina Faso
MODELBy modelled AI exposure, out of 45 regions.
About these estimates. No source publishes AI exposure by region for every country. The model splits Burkina Faso'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 Burkina Faso
- Kadiogo 23% exposed
- Comoé 16% exposed
- Soum 15% exposed
- Houet 20% exposed
- Gourma 16% exposed
- Sanmatenga 16% exposed
- Gnagna 14% exposed
- Kénédougou 15% exposed
- Poni 16% exposed
- Yatenga 18% exposed
- Kossi 16% exposed
- Kompienga 14% exposed
- Séno 17% exposed
- Boulgou 17% exposed
- Yagha 14% exposed
- Sourou 15% exposed
- Tuy 14% exposed
- Ziro 14% exposed
- Sanguié 17% exposed
- Tapoa 16% exposed
- Koulpélogo 14% exposed
- Komondjari 14% exposed
- Balé 14% exposed
- Namentenga 16% exposed
- Ganzourgou 17% exposed
- Boulkiemdé 19% exposed
- Mouhoun 18% exposed
- Bazèga 17% exposed
- Nayala 14% exposed
- Passoré 17% exposed