ZH reported, citing a May 18 report from China Daily.
For years, the global conversation around artificial intelligence has been dominated by one question: will AI replace human workers?
In China, a different reality is beginning to emerge.
Rather than simply eliminating jobs, the country’s accelerating AI boom is creating entirely new forms of work — occupations that barely existed a few years ago but are now becoming part of the modern labor market.
Inside a data collection center in Shanghai operated by Chinese robotics company AgiBot, humanoid robots are learning how to perform ordinary human tasks: packing popcorn, wiping tables, organizing shelves and carrying goods.
But the robots are not learning alone.
Standing nearby are workers like Chen Xin, wearing virtual reality headsets and holding motion controllers, carefully guiding robotic movements step by step. His role is part technician, part trainer and part teacher. Every motion he demonstrates — every angle, force adjustment and movement trajectory — becomes machine-readable data that robots can later use to perform tasks independently.
In effect, a new profession has emerged: teaching robots how to behave in the physical world.
The scene captures an important shift in China’s AI economy.
The country’s AI revolution is increasingly focused not only on algorithms and software, but also on the interaction between humans and intelligent machines. As embodied AI and humanoid robotics move from laboratories into real-world environments, entirely new categories of labor are beginning to form around them.
And China is scaling this transformation rapidly.
According to official data, China’s core AI industry surpassed 1.2 trillion yuan ($176 billion) in 2025, with more than 6,200 AI enterprises operating nationwide. Recruitment data from multiple regions show AI-related job openings rising sharply in early 2026.
Over the past five years, more than 20 newly recognized occupations in China have been directly related to AI and digital technologies.
This matters because the global debate around artificial intelligence often assumes a simple binary outcome: humans versus machines.
China’s experience suggests something more complicated — and potentially more important.
AI is not merely replacing work. It is restructuring work.
Some repetitive tasks may indeed disappear over time. But new demands are simultaneously emerging for people capable of training AI systems, supervising machine behavior, managing intelligent platforms and integrating AI into creative and industrial processes.
In many cases, human skills are becoming more valuable precisely because AI systems still depend heavily on human judgment, correction and interpretation.
That dynamic is also visible in China’s growing AI creative economy.
Chen Xiaoyu, an AI content creator working in visual storytelling, describes how generative AI tools are transforming film production and digital creation. Tasks that once required large budgets, complicated logistics and physical production setups can now be achieved through AI-assisted image generation and scene construction.
For creators, this changes the economics of creativity.
AI lowers technical barriers, reduces production costs and gives independent creators greater control over visual execution. What once required entire production teams can sometimes now be accomplished by a small group equipped with AI tools.
But remarkably, many creators do not see this as the end of human creativity.
Instead, they increasingly view AI as a force multiplier.
While AI can generate images, videos and scripts rapidly, creators argue that meaningful storytelling still depends on deeply human qualities: observation, emotional understanding, cultural awareness and lived experience.
In other words, AI may accelerate production, but humans still provide intention.
This distinction is becoming central to China’s broader approach toward AI development.
Rather than framing AI purely as a labor replacement technology, policymakers and companies increasingly describe it as an industrial productivity tool capable of augmenting human capabilities across manufacturing, services, healthcare, education and creative industries.
That framing also helps explain why China is investing aggressively not only in AI models, but also in embodied intelligence, robotics, industrial deployment and vocational adaptation.
The country understands that the next stage of AI competition may not be determined solely by who develops the most advanced algorithms, but by who can integrate AI most effectively into real economic systems.
That integration requires people.
Humanoid robots still need human trainers. AI systems still need high-quality data. Creative AI tools still require human direction. Smart factories still rely on engineers, operators and system designers capable of coordinating increasingly intelligent production environments.
As a result, entirely new labor ecosystems are emerging around AI deployment itself.
This does not mean disruption will disappear.
Many traditional jobs will inevitably face pressure as automation improves. Some industries may experience painful transitions. Workers without digital adaptability could struggle in the long term.
But China’s current trajectory suggests the AI era may ultimately be less about mass technological unemployment and more about large-scale occupational transformation.
The question is no longer whether AI will change work.
It already is.
The more important question now is what kinds of human skills become more valuable in an AI-driven economy — and how quickly societies can adapt to that transition.
China is betting that the future workplace will not belong solely to humans or machines.
It will belong to the collaboration between them.