CNBC's The China Connection newsletter: Why AI isn't replacing jobs in China (yet)
Published on April 6, 2026, by Evelyn Cheng
Introduction
As artificial intelligence (AI) continues to reshape industries worldwide, the impact on employment varies significantly between countries. In the United States, tech giants are announcing massive layoffs, while in China, the job market appears to be more resilient. This article explores the reasons why AI is not yet leading to widespread job losses in China.
The Current Landscape of AI and Employment
In recent months, companies like Oracle have initiated significant layoffs in the U.S., raising concerns about the future of jobs in the tech sector. In contrast, Chinese companies have not experienced the same level of workforce reductions. Several factors contribute to this disparity, including government policies, labor costs, and cultural differences.
Government Employment Goals
One of the primary reasons for the stability of jobs in China is the government’s commitment to maintaining a low unemployment rate. Beijing has set a national employment goal of around 5.5% for urban areas. This state-directed mandate encourages companies to retain employees, even in the face of technological advancements.
Labor Costs and Salary Comparisons
Another factor influencing job retention in China is the comparatively lower labor costs. According to recent data from the online jobs platform Zhilian, the average monthly salary for high-demand algorithm engineers in China is approximately 20,035 yuan (around $2,900). In contrast, similar positions in the U.S. can command salaries upwards of $300,000, reflecting the vast differences in living costs and taxation.
A human resources manager from a Silicon Valley startup noted that a “level 2” software engineer in the U.S. would face a significant pay cut if they were to return to China, highlighting the economic incentives that keep many engineers in the U.S. However, the threat of layoffs also poses risks to immigration status for Chinese nationals working in the U.S., prompting some to consider returning home.
Cultural and Structural Differences
The cultural context in which businesses operate also plays a crucial role in job retention. In the U.S., remote work became prevalent during the pandemic, while many Chinese companies still emphasize in-office work. This preference for physical presence is rooted in a cultural belief that oversight and collaboration are more effective when teams are co-located.
Additionally, the roles of engineers in Chinese companies tend to be more diverse than their counterparts in the U.S. This broader scope of responsibilities makes it more challenging for AI to replace human workers entirely. Tina Zhou, founder of marketing startup Boomfluence.ai, notes that many Chinese firms employ more staff in marketing and customer operations, further insulating these roles from automation.
Impact of AI on Chinese Companies
Despite the overall stability in job numbers, some Chinese companies have made workforce reductions attributed to AI initiatives. For instance, Alibaba reported a headcount decrease of over 30% as part of its shift towards prioritizing AI efforts. Conversely, Tencent reported a modest increase in its total employee count, while Huawei’s research and development staff grew from 113,000 to 114,000 in a year.
Digitalization and Market Differences
The level of digitalization in Chinese companies is another factor that limits the impact of AI on employment. Compared to the U.S., where enterprise software is widely adopted, many Chinese businesses remain less digitalized. For example, while products like OpenClaw have gained popularity for individual productivity, they are not yet tailored for enterprise-level applications.
Concerns About Youth Employment
While the overall job market remains stable, youth unemployment in China has been a growing concern. Despite a national urban jobless rate hovering around 5%, youth unemployment has consistently remained in the mid-to-high double digits. This discrepancy highlights the challenges faced by younger workers entering the job market, particularly in high-tech fields.
Chinese policymakers are aware of the need to balance technological innovation with employment opportunities. Central bank advisor Huang Yiping emphasized the importance of pursuing high-tech development to drive economic growth while ensuring that AI advancements prioritize human needs.
Conclusion
In summary, while AI is transforming industries globally, its impact on the job market in China has been relatively contained thus far. Factors such as government employment goals, lower labor costs, cultural differences, and the current state of digitalization all contribute to this phenomenon. However, the landscape is continually evolving, and the future of employment in the face of AI advancements remains to be seen.
Note: This article is based on insights from CNBC’s The China Connection newsletter and reflects the current state of the job market in China as of April 2026.
