發生了什麼事
Fortune, reporting with The Associated Press, says Beijing software engineer Fei Zhaojun and about 160 colleagues were laid off two weeks after his boss asked whether artificial intelligence could replace human coders. The report presents the case as part of China’s rapid adoption of AI, but the supplied article does not identify the employer or provide an employer statement confirming that AI caused the layoffs.
Fortune’s August 24, 2026 report, produced by Chan Ho-Him, Fu Ting and The Associated Press, centers on Fei Zhaojun, a 40-year-old former software engineer in Beijing. According to Fortune, his boss asked whether artificial intelligence could soon replace human coding jobs. About two weeks later, Fei was laid off along with approximately 160 colleagues. The article does not name the employer, describe the company’s business, or provide a formal explanation for the layoffs. The timing makes AI a central concern in the account, but it does not independently establish that AI caused the dismissal or that the company replaced the workers with AI systems.
Fortune places the reported layoffs within a wider pattern of AI adoption in China. Citing market-intelligence firm IDC, the article says the share of Chinese industrial enterprises reporting use of AI models and “agents” rose to 47.5% last year from 9.6% in 2024. Fortune also reports that humanoid robots are sorting parcels in some postal centers on a small scale, while food-delivery robots and tools are expanding into other forms of work. The article says AI is increasingly used in China’s short-drama industry and cites Chinese media reports that the number of live-action short and vertical video series fell about 75% in the first quarter of this year compared with a year earlier. The supplied text does not establish that AI alone caused that decline.
The report follows several workers adapting to the shift. Fei is making vlog-style videos during a career break but is not yet earning a living from them. Fortune says part-time translator Du Qinchun has helped train an AI translation model and has received more work temporarily, while also reporting that pay in the translation industry has fallen by more than half compared with previous years. Scriptwriter Wang Zhicheng left after his employer cut roughly half of its 13 scriptwriters and began making illustrated children’s books independently. Wang told Fortune that AI-generated scripts could save time but were often repetitive, formulaic or uneven in detail.
為什麼這很重要
The account offers a concrete example of how AI-related restructuring may affect workers, while also showing why individual layoffs should not automatically be treated as proof of direct technological replacement. Fortune reports rising AI adoption in Chinese industry and describes pressure on programmers, translators, scriptwriters and delivery workers, but the broader employment effects remain uncertain.
The most concrete significance is the gap between AI capability and employment decisions. Fortune reports that Fei once doubted AI could perform programming perfectly, while his bosses believed it was sufficiently capable. Fei told the publication that mid-level coding jobs are replaceable in many cases and that workers may need to use AI because others are already doing so. That account illustrates how the expectation of automation can change workplace decisions even when systems still require human judgment and oversight. It does not prove that AI can replace all programmers or that every coding role faces the same risk.
The article also shows how adoption statistics can coexist with uncertain labor outcomes. IDC’s reported increase in industrial AI use indicates that companies are experimenting with or deploying these tools, but it is not a measure of jobs eliminated, productivity gains, error rates or net employment. Fortune quotes IDC researcher Yanze Du saying China’s ecosystem is helping move AI from foundational systems into industrial applications. That could increase output or change the tasks workers perform, but the supplied report does not provide a controlled comparison showing how much work has been automated or how many new roles have been created.
The broader economic stakes are substantial because Fortune describes China as promoting AI through its “AI Plus” initiative and a five-year plan running through 2030. Economists quoted in the report say AI could raise productivity while worsening employment growth and social pressure, particularly as consumer spending is already weak and the housing downturn has reduced household wealth. The article also cites an International Labor Organization finding that women face higher risks from AI-related employment losses because they are more concentrated in work considered easier to automate and remain underrepresented in science and technology. At the same time, another expert cited by Fortune argues that automation could partly offset China’s aging and shrinking workforce. These competing effects mean adoption alone cannot determine the eventual impact on workers.
互動機制：它實際上是如何運作的
以互動方式探索這項發展背後的基礎技術。
crm_get_transaction(id='4092').What should a useful AI forecast state?
接下來看什麼
The key unresolved question is whether Fei’s employer eliminated jobs specifically because of AI, because of broader cost or business pressures, or for a combination of reasons. Further reporting should establish the employer’s identity, the basis for the estimate of about 160 layoffs, and whether affected workers were replaced, reassigned or offered retraining. Longer-term evidence will also show whether AI creates enough new work to offset displacement.
Verification should begin with the specific Beijing employer. The supplied Fortune text gives Fei’s account and the approximate figure of 160 affected colleagues, but it does not include a company announcement, labor filing, termination notice or independent employment record. Future reporting should clarify how the number was calculated, whether all affected workers held coding roles, what explanation management gave, and whether AI tools were introduced before or after the restructuring. Until then, the layoffs and their connection to AI should be treated as reported but not independently confirmed.
The next important evidence will be sector-level labor data rather than isolated anecdotes. Useful indicators would include hiring and layoff trends for programmers, translators, media workers and delivery workers; changes in wages; retraining or redeployment rates; and whether AI adoption is associated with fewer entry-level opportunities. Fortune reports that unemployment among Chinese people aged 16 to 24, excluding students, is roughly triple the overall urban unemployment rate of about 5%, but the article does not show that AI caused either measure. Tracking these figures over time can help distinguish technology-driven displacement from weak demand, restructuring and other economic pressures.
Work quality and human oversight also deserve attention. Fortune reports that Wang found AI-generated scripts repetitive and formulaic, while chemistry teacher Yang Zheng said AI can answer students’ follow-up questions but often gets things wrong. Those observations suggest that task substitution may be uneven: AI may reduce the amount of routine production while leaving humans responsible for selection, correction, context and accountability. Policymakers and employers will need to show whether workers receive meaningful opportunities to learn new tasks and whether organizations preserve human review when AI output affects education, creative work, software or public-facing services.