博客

BEIJING – As China aggressively advances government-backed artificial intelligence integration across every major sector of its economy, the technology is triggering rapid, often unsettling shifts in the country’s massive labor market, leaving thousands of workers displaced and forcing widespread adaptation to a new employment landscape. The disruption has sparked debate among economists over AI’s long-term impact on China’s growth trajectory, social stability, and ability to offset its looming demographic challenges.

One of the earliest and most visible impacts of AI adoption has hit white-collar knowledge workers. For 40-year-old former Beijing-based programmer Fei Zhaojun, AI’s arrival came abruptly: just two weeks after his boss questioned whether AI could replace human coding teams, Fei was laid off alongside 160 of his colleagues. Today, Fei is using his career break to create vlog content focused on ordinary people’s experiences, while he navigates what comes next. He acknowledges that most mid-tier coding roles are already readily replaceable by modern AI tools, and has adopted a pragmatic approach: if AI is reshaping the industry, workers have no choice but to learn to work with it.

The disruption extends far beyond software development. Du Qinchun, a part-time translator based in Chengdu, now works to train AI translation models — a role that has brought him temporary new work, even as industry-wide translation pay has dropped by more than half from just a few years ago. This trend has reshaped higher education too: as AI-powered translation tools become ubiquitous, popular foreign language university programs have rapidly fallen out of favor with prospective students. In creative industries, generative AI has upended China’s booming short drama sector: industry data shows the number of live-action short-form vertical series for mobile platforms dropped roughly 75% year-over-year in the first quarter of this year, as AI handles more creation, production, and distribution tasks.

Official policy has positioned China at the forefront of global AI adoption. Through the national “AI Plus” initiative and a 2030 five-year development plan, Beijing is pushing to embed AI across all sectors to gain a competitive edge in its ongoing technology rivalry with the United States. This proactive policy support has led to explosive growth in enterprise AI integration: market intelligence firm IDC reports the share of Chinese industrial enterprises using AI models and autonomous agents jumped from just 9.6% in 2024 to 47.5% last year. IDC senior research manager Yanze Du notes that China’s dynamic open-source AI ecosystem has accelerated innovation in industrial applications, closing the gap between cutting-edge foundational model capabilities and real-world business value. Today, the technology is already moving beyond office and creative work: humanoid robots are sorting parcels in postal facilities on a small scale, testing capabilities for traffic direction and coffee preparation, while autonomous food delivery robots are expanding across urban areas, putting millions of delivery workers’ livelihoods at potential risk.

Unlike many Western economies where public pushback against AI-driven job displacement is more common, anti-AI sentiment remains muted in China, according to industry analysts. “There appears to be far less anti-AI sentiment in China than elsewhere. Most people seem either positive, neutral, or mildly interested in AI,” explained Shujing He, a Beijing-based senior analyst at research and advisory firm Plenum. “Individuals who worry about being replaced, as well as those who have already left traditional workplaces, are often eager to experiment with AI-enabled businesses and independent ventures. The level of interest is striking.” He added that workers with narrow, specialized roles in AI-vulnerable fields like software development and multimedia creation face the highest displacement risk, as AI can now complete tasks that once required years of specialized training for a fraction of the cost and time.

A recent International Labour Organization report adds another layer to the disruption: women in China face disproportionately higher risks of AI-driven job loss, as they are overrepresented in roles easily automated such as electronics assembly, and remain underrepresented in high-growth science and technology fields that are more resilient to automation.

For China’s already slowing economy, AI brings a mixed set of long-term outcomes. Years of sluggish growth have been compounded by a prolonged housing market downturn that has eroded household wealth, and AI-driven job uncertainty is further dragging on consumer spending as households cut back on purchases to prepare for potential unemployment. Cornell University economics and trade policy professor Eswar Prasad notes that while AI is driving major productivity gains across China’s tech sector, those gains have not translated to broad new job creation. “AI is likely to lift productivity across the board but could have a severe disruptive effect on employment, worsening the employment growth problem and resulting in a detrimental effect on social stability,” Prasad warned. Current labor market data underscores this uncertainty: while China’s headline urban unemployment rate holds around 5%, unemployment for 16 to 24-year-olds (excluding students) is roughly three times that figure. Major Chinese tech giants, much like their U.S. competitors, have already cut and restructured tens of thousands of roles in recent years, with AI integration cited as a key driving factor.

Yet some economists argue that AI could ultimately offset one of China’s biggest long-term economic challenges: its rapidly aging and shrinking population. By 2050, projections show China will have fewer than two working-age adults to support each retiree, compared to more than 2.5 in the United States. Xuenan Cao, a professor at San Francisco Bay University specializing in technology and society, argues that automation can fill critical gaps left by a shrinking workforce rather than acting purely as a threat to employment. “Automation could partially offset a shrinking workforce rather than being purely a threat to it,” Cao said.

For many displaced workers, the common approach has become “if you can’t beat them, join them.” Wang Zhicheng, a former scriptwriter for a children’s educational animation company, saw his employer lay off half of its 13-person writing team amid AI integration. He chose to resign and launch an independent studio creating illustrated children’s books, using AI as a productivity tool rather than viewing it as a replacement. “You can treat AI as a tool just like Microsoft Word,” Wang explained. “While AI can cut down on brainstorming and drafting time, the scripts it generates often feel formulaic, repetitive, and inconsistent in depth. Humans are still the decision makers on which one to pick or pursue among all that AI generates.”

Even in less affected fields, many workers see AI as a helpful complement rather than a threat. Yang Zheng, a 29-year-old high school chemistry teacher in China, says even though students now use AI to help with homework, the technology improves rather than undermines his work. “Teachers cannot be there all the time,” he said. “It is a good thing for students as it generates responses in real-time so that students can ask follow-up questions. It often gets things wrong, but it improves over time.”

As AI adoption continues to accelerate across China’s economy, the coming years will test whether the country can harness the technology’s productivity gains while mitigating its disruptive impact on employment and social cohesion.

A sweeping safety recall, the largest in China’s modern automotive history, has placed the once-trendy minimalist hidden door handles of electric vehicles under unprecedented scrutiny, impacting more than 4 million passenger vehicles built by some of the world’s biggest EV manufacturers. The recall covers 2.98 million Tesla vehicles produced in China, alongside models from major domestic Chinese automakers XPeng, Xiaomi, and Geely, all of which have adopted the popular aerodynamic design in recent years.

First popularized globally by Elon Musk’s Tesla, retractable hidden door handles were engineered to streamline a vehicle’s profile, reduce wind drag, and boost overall driving range — a key selling point for electric vehicles. The design tucks the handle flush into the door panel when not in use, only extending outward when the vehicle detects an approaching user with a paired key fob or smartphone.

Safety concerns surrounding the design erupted after two fatal traffic collisions involving Xiaomi-manufactured electric vehicles in China. Investigations have pointed to potential power system failures that left the retractable handles locked in their flush position, trapping occupants inside and preventing rapid escape or first responder access. Following these incidents, Chinese regulators launched a broad investigation into the safety of the design across the domestic EV market.

Tesla confirmed the recall in an official public statement released Friday, noting that the issue in its vehicles stems from door handles that share a nearly identical color with surrounding interior trim, making them hard for occupants or rescuers to locate quickly in high-stress emergency scenarios. The automaker added that in severe collision events that knock out a vehicle’s low-voltage electrical system, the hard-to-locate handles could significantly delay door opening, putting lives at greater risk.

To address the hazard, Tesla will apply clearly marked warning labels to all recalled vehicles and roll out a free over-the-air software update designed to automatically lower vehicle windows immediately after a collision, preserving an alternate exit route even if the door handles remain locked. It remains unclear whether the affected automakers will expand the recall to cover vehicles sold in international markets outside of China. The BBC has reached out to Tesla, XPeng, Xiaomi, and Geely to request additional comment on global plans.

The recall comes months after Chinese national regulators announced a formal ban on unmodified hidden door handles for new passenger vehicles sold in the country. New regulatory requirements, set to take full effect on January 1, 2027, mandate that all new vehicles sold in China must include a fully functional manual door release mechanism on both the interior and exterior of every door, regardless of electronic design.

This is not the first time hidden door handle designs from Tesla have drawn regulatory attention. US safety regulators launched a formal investigation into the feature after multiple reports of sudden handle failure that left children trapped inside locked vehicles in extreme weather conditions. In July, the US National Highway Traffic Safety Administration indicated it was exploring the creation of a new mandatory federal safety standard that would govern door handle design for all automakers selling vehicles in the United States. The BBC has also contacted the agency for additional updates on the rulemaking process.

Global fast-fashion powerhouse Shein has formally locked in September 1 as the launch date for its long-awaited initial public offering (IPO) on the Hong Kong Stock Exchange, with plans to raise up to HK$13.86 billion (equivalent to approximately £1.3 billion or $1.77 billion), the company confirmed in a regulatory filing released Monday.

Under the terms of the offering, Shein will issue nearly 280 million new shares, priced in a range between HK$47.60 and HK$49.50 per share. At the upper end of this pricing band, the China-founded, Singapore-headquartered retailer would carry a total market valuation of roughly $27 billion. This figure marks a sharp 73% drop from the $100 billion valuation the company achieved during a 2022 private fundraising round, a decline that mirrors broader industry headwinds including slowing sales growth and soaring operating costs across the retail sector.

This Hong Kong listing comes after two failed attempts to launch IPOs in the United States and the United Kingdom, derailed by heightened regulatory scrutiny and geopolitical tensions tied to the company’s origins and operational practices. The offering is underwritten by three of Wall Street’s most prominent investment banks: Goldman Sachs, Morgan Stanley, and JP Morgan, signaling major institutional backing for the listing despite ongoing challenges.

Shein’s path to public markets has been complicated by a series of recent financial setbacks. In July, the company disclosed it had swung to a net loss of $99 million in the first quarter of 2026, a reversal from the $395 million net profit it recorded in the same period one year earlier. The retailer attributed the poor results largely to the elimination of a longstanding US import duty exemption for small packages by former President Donald Trump, which drastically increased its cost of doing business in its largest market.

“In response to the increased duties and taxes, we are pursuing a wide range of options, including increasing our prices in the US market to offset a portion of the increased costs,” the company stated in its July financial update. Uncertainty around the ongoing, currently paused US-China tit-for-tat tariff war has also created long-term headwinds for the retailer, which relies heavily on Chinese manufacturing for its core supply chain. Shein added that the ongoing Iran conflict has further disrupted operations, pushing up logistics costs, delaying deliveries to key regional markets, and softening consumer demand in affected regions.

The company noted that roughly $328 million of the first-quarter loss stems from a non-cash accounting adjustment related to special investor shares, which will convert to ordinary stock following the IPO and are subject to valuation shifts before listing.

Founded in 2008, Shein has grown from a small online apparel retailer to one of the world’s largest fast-fashion players, serving a active customer base across more than 150 countries. The company’s disruptive business model leverages a vast network of Chinese manufacturing partners to deliver ultra-cheap, trend-driven apparel to consumers at speeds far outpacing traditional retail rivals like H&M and Zara. Its annual revenue has already outstripped both legacy competitors, cementing its position as the global leader in fast-fashion e-commerce. As of the end of March 2026, Shein counted 281 million active customers, a 16% year-over-year increase, with customers placing more than one billion orders in the 12-month period.

Despite its rapid growth, Shein has faced persistent criticism on multiple fronts. Environmental activists have repeatedly raised alarms about the company’s contribution to textile waste and carbon emissions, a core critique of the fast-fashion industry as a whole. The company has also faced repeated allegations of forced labor in its Chinese supply chains, claims Shein has repeatedly denied, telling the BBC it maintains a “zero tolerance for forced labor” policy across all supplier partners. Its attempted London IPO collapsed in 2024 after regulators and investors called for greater transparency around supply chain practices, which Shein declined to provide at the time.