The rapid deployment of artificial intelligence in China is no longer just a theoretical debate about the future of work; it is a present-day reality causing significant anxiety across the labor force. The Guardian spoke directly with workers across multiple sectors, painting a vivid portrait of an economy in transition where the benefits of the AI revolution are accruing to a narrow elite while millions of ordinary workers face displacement.
China is encouraging the adoption of AI at a scale and speed largely unseen in the West. While the government champions the technology as a driver of “shared prosperity,” the aggressive rollout is colliding with a precarious labor market characterized by high youth unemployment and a massive shift toward the gig economy.
The Robotaxi Threat in Wuhan
The tension is perhaps most visible on the streets of Wuhan, where the widespread deployment of Baidu’s Apollo Go robotaxis has sparked protests from traditional drivers. For gig workers like 45-year-old Yao Xinnong, the autonomous vehicles represent a direct threat to survival.
“I don’t really like them, to be honest,” Yao told The Guardian, noting that his wages had fallen by about 40% since the robotaxis launched in 2022. “Their impact has been huge.”
The frustration among drivers boiled over earlier this year when a Wuhan taxi company took the rare step of publicly criticizing the government’s automation policy. “The recent rise of autonomous ride-hailing vehicles has allowed technology to monopolize resources and take away the livelihoods of people at the bottom of society,” the company wrote in an open letter.
The situation highlights a broader structural issue: as traditional industries like real estate and education have faltered, millions of workers have turned to ride-hailing and delivery apps to make ends meet. The introduction of AI into this vital safety net is creating profound social friction.
White-Collar Anxiety
The fear of displacement is not limited to blue-collar or gig workers. White-collar professionals are also feeling the impact of generative AI.
Tian Zemin, a Beijing-based cinematographer with nearly two decades of experience, has seen his freelance rates plummet to 40% of their 2019 levels as AI tools become more sophisticated. “I spent six grueling years working my way up to become a cinematographer, only to be replaced by a piece of software,” he said. “We could be replaced at any moment.”
The rapid advancement of AI video generation, moving from crude avatars to convincing digital clones capable of carrying a feature film — has caught many in the creative industries off guard. As we reported in our coverage of ByteDance’s Seedance AI drama production, AI is now capable of cutting production costs by 84%, fundamentally undermining the economics of the human creative workforce.
The Policy Response
The growing unease has not gone unnoticed in Beijing. There are signs of a subtle shift in the government’s rhetoric, moving from unbridled enthusiasm for AI development to a more cautious approach that acknowledges the social impact.
An editorial in the state-run Workers’ Daily recently warned of a “collision between traditional employment rules and the iteration of AI technology.” The government has also pledged to “comprehensively address the impact” of new technologies on employment.
As we reported in our analysis of China’s state council survey on AI and jobs, the government has been tracking the scale of displacement for months. Analysts suggest that China’s state-directed economic model may allow Beijing to manage the fallout more effectively than Western governments, potentially through mandated hiring quotas or targeted social support. However, for workers currently facing reduced wages or outright displacement, those protections cannot come soon enough. As the AI revolution accelerates, the challenge for China will be ensuring that the technological leap forward does not leave millions of its citizens behind.
The government’s response to date has been cautious and largely rhetorical. Beyond pledges to “comprehensively address” the impact of AI on employment, there is little evidence of concrete policy measures, such as retraining programs, income support, or sector-specific protections that would meaningfully cushion the blow for the workers most at risk. The contrast with the speed and decisiveness of China’s AI deployment policy is stark. Beijing has moved with extraordinary urgency to build AI infrastructure, fund AI startups, and integrate AI into public services.
Matching that urgency on the labor side of the equation will be the defining social policy challenge of the coming decade. The political risks of inaction are real: a generation of workers who feel abandoned by a government that prioritized machines over people is not a stable foundation for the kind of social cohesion that China’s leadership has long prized as a source of competitive advantage.
The workers quoted in The Guardian’s report are not outliers, they are early indicators of a much larger wave of displacement that is only beginning to crest. The question is not whether AI will transform the Chinese labor market, but whether the government’s response will be fast enough and generous enough to cushion the blow for those who cannot retrain or relocate quickly enough to ride the wave rather than be swept under it.