7.5M Chinese Coders in Tears! Fired at 27, High-Pay Dreams Crushed as China’s AI Push Falls Apart

Summary

The video argues that China’s once-lucrative programming profession is being reshaped by layoffs, pay cuts, intense competition, and AI. It opens with accounts from front-end developers in Beijing who were dismissed in their late twenties or early thirties. Several describe sudden meetings with managers, uncertainty over severance agreements, and anxiety about mortgages, marriage, and supporting family. Others say they worked punishing hours for years, only to see their teams or roles eliminated as companies combine product and engineering work and expect developers to handle more of the software stack.

Many tech workers who moved to Beijing during the industry boom are now considering leaving. Gu Kai, a programmer whose household once earned about 1 million yuan a year, says his family struggled with the costs and barriers of life in Beijing. After his wife was laid off and his own pay fell, they moved to a southern second-tier city. Xia Qi, dismissed in 2025, returned to northeast China, where she says jobs are scarce. She now combines farm work with selling goods online.

A programmer-blogger describes four perceived traps for computer-science graduates:

1. High salaries can come with extreme hours and low effective hourly pay.
2. A tech paycheck may seem to guarantee middle-class security, despite heavy housing and other debts.
3. Technical skills may seem to ensure job security, even as AI and new graduates increase competition.
4. Corporate developers may see themselves as independent engineers, while relying heavily on company-specific systems and having little control over products or customers.

The video also questions whether AI will improve workers’ prospects. One programmer says pressure to become “full stack” can leave people stretched across many skills without deep expertise. Another commentator says companies and managers may welcome AI as a way to cut costs, while workers bear the consequences through layoffs or heavier workloads. In his view, companies often prioritize speed and cost over code quality, and responsibility for resulting problems ultimately rests with management and owners.

AI infrastructure and computing capacity

The video links tech layoffs to what it presents as problems in China’s AI-computing buildout. It cites a Tencent Cloud executive’s claim that average GPU utilization in Chinese data centers was below 30%, with some server-rack utilization reportedly much lower. The report attributes the mismatch to planning focused on conventional data centers, fragmented resources, inconsistent standards, and weak systems for sharing computing capacity.

At the same time, the video says high-performance computing remains expensive, with B300 servers reportedly reaching 7 million yuan and rental rates rising. It warns that subsidies and local-government support helped drive rapid construction, while some companies borrowed heavily to buy GPUs and may struggle to recoup their investments.

The report cites 196 AI data centers, an average investment of about 2.86 billion yuan each, and nearly 1 trillion yuan in total industry investment. It also mentions companies that curtailed or failed to complete GPU purchases, and says 59 of 99 listed companies in the computing-rental sector saw gross margins decline in the third quarter of 2025.

The video concludes that overbuilding, costly equipment, and uncertain returns could create a wider AI-infrastructure crisis, with programmer layoffs presented as an early warning sign.

Presenters and contributors

• Presenter/narrator: Not identified by name in the subtitles.
• Gu Kai: Beijing-born programmer who relocated with his family.
• Xia Qi: Programmer who returned to northeast China after being laid off.
• Hu Jun: Head of a big-data company in Wuhu, commenting on the computing-power market.
• Shu Guohua: Member of China’s top advisory body, quoted urging officials to prevent AI centers from becoming “unfinished digital projects.”
• Other unnamed contributors: Laid-off programmers and developer-vloggers, an IT veteran, a Tencent Cloud executive, and industry analysts. The subtitles also cite reporting by Securities Times and Reuters.