AI & jobs · Region in Tanzania

Dar es Salaam

Region TZ-02 Capital region Largest city: 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

ANTHROPIC

Claude.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

MODEL

Estimated share of jobs by sector, against the national mix.

Dar es Salaam Tanzania
Retail & wholesale 25.7%
Agriculture 24.0%
Business services 8.4%
Manufacturing 7.5%
Transport & logistics 6.8%
Other services 6.5%
Hospitality 6.4%
Construction 5.4%
Education 3.0%
Finance 1.5%
Public admin 1.3%
Health & care 1.3%
Mining 1.3%
ICT & software 0.6%
Utilities 0.4%

Exposed workers by sector

MODEL

Ranking in Tanzania

MODEL

By 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

All of Tanzania →