AI & jobs · Region in Tanzania
Dar es Salaam
15%
of jobs here are estimated to be exposed to generative AI, above the national 10% (+4.7 pts).
MODEL1st of 30 regions451K exposed workers
Key numbers
PopulationWIKIDATA
5.4M
as of 2022
Share of national populationWIKIDATA
8.9%
1st largest of 30
People in workMODEL
3M
national total × population share
Highest-exposure jobsMODEL
1.2%
national 0.6%
Area
1,646 km²
3,271 people per km²
Settlement patternMODEL
Highly urban
54% live in major cities
Largest city
Dar es Salaam
2.9M (metro)
Mapped towns & cities
1
Natural Earth places
AI use
ANTHROPICClaude.ai conversations, April–May 2026.
Usage intensityANTHROPIC
8.58×
usage share ÷ population share
Share of national useANTHROPIC
76.4%
8.9% of population
Work-relatedANTHROPIC
48%
national 48%
Automation-styleANTHROPIC
54%
national 55%
Augmentation 46%Automation 54%
Sector mix
MODELEstimated share of jobs by sector, against the national mix.
Dar es Salaam
Tanzania
Exposed workers by sector
MODELRanking in Tanzania
MODELBy modelled AI exposure, out of 30 regions.
About these estimates. No source publishes AI exposure by region for every country. The model splits Tanzania'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 Tanzania
- Mwanza 11% exposed
- Tabora 9% exposed
- Morogoro 10% exposed
- Dodoma 10% exposed
- Kagera 9% exposed
- Geita 8% exposed
- Tanga 10% exposed
- Kigoma 10% exposed
- Mara 10% exposed
- Arusha 11% exposed
- Mbeya 11% exposed
- Shinyanga 10% exposed
- Simiyu 8% exposed
- Pwani 10% exposed
- Singida 9% exposed
- Manyara 9% exposed
- Kilimanjaro 13% exposed
- Ruvuma 10% exposed
- Mtwara 10% exposed
- Rukwa 10% exposed
- Lindi 9% exposed
- Iringa 10% exposed
- Katavi 10% exposed
- Mjini Magharibi 14% exposed
- Njombe 9% exposed
- North Pemba 11% exposed
- South Pemba 12% exposed
- Unguja North 8% exposed
- Unguja South 8% exposed