AI & jobs · Country profile
China
18%
of jobs are in occupations exposed to generative AI. That's about 134.1M people.
MODEL139th of 183 most exposed
World 21%Upper-middle income 21%
Key numbers
Workers in exposed jobsMODEL
134.1M
of 737.6M in work
Highest-exposure jobsMODEL
2.9%
21.8M people
People in workILO
737.6M
46% women
UnemploymentWORLD BANK
4.6%
2025
Youth unemploymentWORLD BANK
15.8%
ages 15–24
GDP per capitaWORLD BANK
$13,862
US$, 2025
Internet usersWORLD BANK
92%
of population
AI preparednessIMF
0.64
30th of 165
PopulationWORLD BANK
1.4B
Tertiary enrolmentWORLD BANK
77%
gross ratio
Vulnerable employmentWORLD BANK
33%
own-account & family workers
Urban populationWORLD BANK
66%
Women and men
MODELBased on the real occupation mix of women’s and men’s jobs (ILO).
Women are +2.3 pts more exposed, mostly because they hold more clerical and administrative jobs.
How it compares
MODELAI preparedness
IMFChinaUpper-middle income average
IMF AI Preparedness Index (2023). The four parts sum to the overall score of 0.64 (0–1 scale).
Exposure vs preparedness
China is highlighted. The other dots are all countries with both measures.
Sources: ILO modelled estimates 2025 · World Bank WDI · IMF AIPI · Anthropic Economic Index · Wikidata · Natural Earth. How the estimates are made.
Regions of China
- Guangdong 19% exposed
- Shandong 19% exposed
- Henan 16% exposed
- Jiangsu 18% exposed
- Sichuan 17% exposed
- Hebei 16% exposed
- Hunan 17% exposed
- Zhejiang 18% exposed
- Anhui 18% exposed
- Hubei 19% exposed
- Guangxi 18% exposed
- Yunnan 15% exposed
- Jiangxi 17% exposed
- Liaoning 22% exposed
- Fujian 19% exposed
- Shaanxi 17% exposed
- Guizhou 17% exposed
- Shanxi 19% exposed
- Chongqing 19% exposed
- Heilongjiang 21% exposed
- Xinjiang 19% exposed
- Gansu 18% exposed
- Shanghai 23% exposed
- Jilin 20% exposed
- Inner Mongolia 18% exposed
- Beijing 23% exposed
- Tianjin 22% exposed
- Hainan 18% exposed
- Ningxia 15% exposed
- Qinghai 15% exposed
- Tibet 13% exposed
- Paracel Islands 13% exposed