AI & jobs · National Capital Area in Kenya
Nairobi
20%
of jobs here are estimated to be exposed to generative AI, above the national 14% (+5.4 pts).
MODEL1st of 8 regions629K exposed workers
Key numbers
PopulationWIKIDATA
5.5M
as of 2016
Share of national populationWIKIDATA
13.5%
3rd largest of 8
People in workMODEL
3.2M
national total × population share
Highest-exposure jobsMODEL
2.0%
national 1.3%
Area
766 km²
7,239 people per km²
Settlement patternMODEL
Highly urban
54% live in major cities
Largest city
Nairobi
3M (metro)
Mapped towns & cities
1
Natural Earth places
AI use
ANTHROPICClaude.ai conversations, April–May 2026.
Usage is published for the wider Nairobi City County area (1 map region), so these figures describe that whole area.
Usage intensityANTHROPIC
6.29×
usage share ÷ population share
Area’s share of national useANTHROPIC
85.0%
13.5% of population
Work-relatedANTHROPIC
50%
national 50%
Automation-styleANTHROPIC
56%
national 56%
Augmentation 45%Automation 56%
Sector mix
MODELEstimated share of jobs by sector, against the national mix.
Nairobi
Kenya
Exposed workers by sector
MODELRanking in Kenya
MODELBy modelled AI exposure, out of 8 regions.
About these estimates. No source publishes AI exposure by region for every country. The model splits Kenya'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 Kenya
- Rift Valley 14% exposed
- Eastern 13% exposed
- Nyanza 15% exposed
- Central 12% exposed
- Western 12% exposed
- Coast 16% exposed
- North Eastern 12% exposed