AI Job Atlas
AI & jobs · Autonomous Region in China

Tibet

Autonomous Region CN-XZ Largest city: Lhasa
13%
of jobs here are estimated to be exposed to generative AI, below the national 18% (−5.0 pts).
MODEL31st of 32 regions251K exposed workers

Key numbers

PopulationWIKIDATA
3.6M
as of 2020
Share of national populationWIKIDATA
0.3%
31st largest of 32
People in workMODEL
1.9M
national total × population share
Highest-exposure jobsMODEL
1.7%
national 2.9%
Area
1.1M km²
3 people per km²
Settlement patternMODEL
Very rural
12% live in major cities
Largest city
Lhasa
220K (metro)
Mapped towns & cities
7
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.

Tibet China
Agriculture 51.5%
Manufacturing 14.9%
Retail & wholesale 8.6%
Construction 6.1%
Other services 3.2%
Public admin 3.1%
Education 2.9%
Transport & logistics 2.9%
Hospitality 2.3%
Health & care 1.4%
Business services 1.2%
Utilities 0.8%
Mining 0.5%
Finance 0.4%
ICT & software 0.3%

Exposed workers by sector

MODEL
Agriculture 65.8K Retail & wholesale 41.2K Manufacturing 36.1K Public admin 23.9K Education 23.7K Health & care 9,825 Other services 9,406 Construction 9,259

Ranking in China

MODEL

By modelled AI exposure, out of 32 regions.

26Hebei 16% 27Henan 16% 28Ningxia 15% 29Yunnan 15% 30Qinghai 15% 31Tibet 13% 32Paracel Islands 13%
About these estimates. No source publishes AI exposure by region for every country. The model splits China'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 China

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