China AI Job Risk 2026: Which of 362 Million Workers Are Most Exposed?

362 million workers, 7 major occupation groups

ILO ILOSTAT - published under a Creative Commons CC BY 4.0 licence - tracks Chinese employment using ISCO-08 major occupation group classifications. China's 2025 data covers 362.2 million workers across seven ISCO major groups. This is the largest single-country workforce dataset we cover - larger than the entire population of the United States.

The scale matters because it changes how you read the numbers. When we say clerical support workers in China score 8.5/10 on AI exposure, we are talking about 33.6 million people - more than the entire workforce of Canada. When we say craft workers total 93.6 million, we are describing an occupation group larger than the working-age populations of France and Germany combined. The AI transition in China is not just a Chinese story. The sheer scale means it is a global economic event.

The most AI-exposed jobs in China

China's highest AI exposure group is clerical support workers at 8.5/10 - the same score as France, the UK, and the US for the same broad group. This covers 33.6 million workers across data entry roles, administrative assistants, accounting clerks, customer service representatives, and the full range of office workers who process and manage structured information in China's banks, government agencies, retail chains, and manufacturing companies.

The arrival of AI tools in Chinese enterprises has accelerated sharply since 2023. Chinese technology companies - Baidu with Ernie Bot, Alibaba with Tongyi Qianwen, Tencent with Hunyuan, and ByteDance with Doubao - have deployed large language models at scale across their own operations and through enterprise software platforms. These tools are already handling routine document processing, customer query responses, data classification, and report generation that clerical workers previously performed manually.

Professionals score 6.5/10 on AI exposure, covering 81.8 million workers. This is the number that most defines China's economic trajectory. In the space of roughly fifteen years, China has built a professional class of software engineers, financial analysts, architects, doctors, lawyers, and knowledge workers that rivals the United States in total scale. These workers are simultaneously the primary users and the primary targets of AI tools. Chinese tech companies are deploying AI coding assistants, AI-powered financial modelling, AI-assisted medical diagnosis, and AI legal research tools - all of which augment and in some cases begin to replace professional work.

China's manufacturing base: robotics, not AI

China's 50 million plant and machine operators score just 3.0/10 on AI exposure - but 7.5/10 on robotics risk. The 93.6 million craft and trades workers score 2.5/10 on AI and 4.5/10 on robotics. This distinction - AI versus robotics - is the defining characteristic of China's manufacturing workforce challenge.

China is the world's largest installer of industrial robots by a significant margin. According to the International Federation of Robotics (IFR), China accounted for approximately 70% of global industrial robot installations in recent years. The sectors driving this are electronics assembly (led by companies like Foxconn, BYD, and CATL), automotive manufacturing (SAIC, Geely, BYD, and international joint ventures), and general manufacturing across the Pearl River Delta and Yangtze River Delta industrial clusters.

The Chinese government's Made in China 2025 strategy, launched in 2015, explicitly identified robotics and intelligent manufacturing as a national strategic priority. The follow-on Robot Plus plan targeted increasing robot density - robots per 10,000 manufacturing workers - to levels matching South Korea and Germany. These are not aspirational targets. Chinese factories are actively replacing assembly line workers with robotic systems, particularly in repetitive operations like welding, painting, and component insertion.

For China's 93.6 million craft workers - the carpenters, electricians, plumbers, metalworkers, and skilled tradespeople who build and maintain China's infrastructure - the robotics risk is more moderate at 4.5/10. Many of these trades require physical adaptability in non-standard settings that robotic systems still handle poorly. Demand for skilled construction trades in China remains high, driven by ongoing urbanisation and infrastructure investment, though the pace of new construction has slowed significantly from its peak years.

China's professional class: the AI builders and the AI disrupted

The most strategically significant workforce story in China is the 81.8 million professionals - software engineers, data scientists, financial analysts, doctors, teachers, architects, lawyers, and the full range of knowledge workers who make up 22.6% of China's total employment. This group has grown from roughly 40 million workers a decade ago to 81.8 million in 2025. It is now larger than the entire US professional workforce.

Within this group is China's technology industry - the engineers and researchers at Baidu, Alibaba, Tencent, Huawei, ByteDance, and the hundreds of AI-focused startups funded by China's venture capital ecosystem. These workers are building the AI tools that will be deployed across the rest of the economy. They score 6.5/10 on AI exposure because a substantial portion of their daily work - writing code, analysing data, drafting documentation, running tests - is already being partially automated by the very tools they are building.

China's government has explicitly targeted AI as a strategic technology since the 2017 New Generation AI Development Plan set the goal of becoming the world's primary AI innovation centre by 2030. This has resulted in massive state investment in AI research, preferential policies for AI companies, and accelerated deployment of AI tools in government agencies and state-owned enterprises. The Chinese public sector is adopting AI-powered administrative systems faster than most Western governments.

Service and sales workers: China's second-largest group

Service and sales workers are China's second-largest occupation group at 72.7 million people - 20.1% of the workforce. They score 3.5/10 on AI exposure and 4.5/10 on robotics risk. The AI score reflects the fact that much of China's service economy involves face-to-face interaction, physical delivery, and real-time adaptation to customer needs - tasks that current AI handles poorly.

But the 4.5/10 robotics risk tells a more nuanced story. China's retail sector has experimented aggressively with automated checkout, robotic delivery, and cashierless stores - driven by Alibaba's Hema Fresh, JD.com's fully automated warehouses, and Meituan's drone delivery pilots. The food delivery sector, which employs millions of riders on platforms like Meituan and Eleme, faces a genuine medium-term threat from last-mile delivery robotics and autonomous vehicles that the Chinese government is actively licensing and testing in multiple cities.

The distinction within the service group matters enormously. A hotel receptionist in Shanghai operating in a premium international hotel faces different pressures than a street food vendor in Chengdu. A call centre agent handling structured insurance queries faces different exposure than a home care worker looking after an elderly resident. The 3.5/10 average conceals this variation - but it is a genuine average across a very diverse 72 million workers.

The safest jobs in China from AI

China's lowest AI exposure occupations are craft and trades workers at 2.5/10 and plant operators at 3.0/10. Both face meaningful robotics risk, but the AI exposure is low because their core tasks require physical dexterity, spatial reasoning in variable environments, and hands-on problem solving that current AI tools cannot replicate.

Within China's trades workforce, certain skills are structurally in demand regardless of automation trends. The country's massive ongoing infrastructure investment - in high-speed rail, urban metro systems, renewable energy installations, and building construction - requires skilled workers who can operate and maintain complex physical systems. The technicians who service China's growing fleet of electric vehicles, the workers who install and maintain solar panel arrays across Inner Mongolia and Xinjiang, and the construction specialists building data centres for China's AI infrastructure - all of these roles combine low AI exposure with genuine demand growth.