AI Job Atlas
AI & jobs · Region in Namibia

Karas

Region NA-KA Largest city: Keetmanshoop
22%
of jobs here are estimated to be exposed to generative AI, above the national 22% (+0.4 pts).
MODEL7th of 13 regions10.7K exposed workers

Key numbers

PopulationWIKIDATA
110K
as of 2023
Share of national populationWIKIDATA
5.1%
9th largest of 13
People in workMODEL
47.7K
national total × population share
Highest-exposure jobsMODEL
4.0%
national 3.9%
Area
160K km²
1 people per km²
Settlement patternMODEL
Mixed
53% live in major cities
Largest city
Keetmanshoop
18K (metro)
Mapped towns & cities
5
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

MODEL

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

Karas Namibia
Agriculture 19.9%
Other services 14.6%
Retail & wholesale 12.9%
Hospitality 8.0%
Business services 7.3%
Manufacturing 7.2%
Construction 6.9%
Education 6.8%
Public admin 4.3%
Transport & logistics 3.1%
Health & care 2.8%
Mining 1.9%
Finance 1.8%
ICT & software 1.3%
Utilities 1.2%

Exposed workers by sector

MODEL
Retail & wholesale 1,818 Other services 1,398 Education 1,398 Business services 1,090 Public admin 915 Hospitality 797 Agriculture 666 Health & care 521

Ranking in Namibia

MODEL

By modelled AI exposure, out of 13 regions.

4Kavango 23% 5Zambezi 23% 6Oshana 22% 7Karas 22% 8Hardap 22% 9Omaheke 21% 10Ohangwena 21%
About these estimates. No source publishes AI exposure by region for every country. The model splits Namibia'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 Namibia

All of Namibia →