DEVELOPMENT OF ARTIFICIAL INTELLIGENCE IN CHINA AND ASSESSMENT OF ITS IMPACT ON THE NATIONAL LABOR MARKET
The rapid expansion of digital and artificial intelligence technologies has led to significant changes and transformations in the economic structure, including the labor market. China is a leader in the digital transformation of nearly all its industries, making research on the impact of artificial intelligence on labor demand and employment processes more generally important and relevant. The introduction of artificial intelligence leads to structural changes in the workforce, primarily due to increased demand for highly skilled workers and their share of income in the economy as a whole, facilitating the redistribution of production factors across industries. This article provides a comparative review of key aspects of China's key strategic documents on artificial intelligence development (Made in China 2025 and the Next-Generation Artificial Intelligence Development Plan). According to the Global AI Development Index, China ranks first globally in the 2025 "Applied AI Research" category, with a market capitalization of $22.8 trillion and a score of 100. We analyzed the implementation of artificial intelligence in operational processes and overall corporate governance at Chinese companies such as SHEIN, Tencent, Alibaba, and the Qwen model. The integration of AI into manufacturing significantly reduces the share of low-skilled employment and increases the share of employment in knowledge-intensive and technology-based services. Artificial intelligence in China has not led to a net loss of jobs. Labor resources freed up in some sectors are absorbed by others, particularly in the delivery, e-commerce, and ride-hailing industries, which have become a colossal employer, providing flexible employment for tens of millions.
Zhukovsky A.D., Rastopchina Yu.L., Klokel M. “Development of artificial intelligence in China and assessment of its impact on the national labor market”, Research Result. Economic Research, 12(3), 13-23, DOI: 10.18413/2409-1634-2026-12-3-0-2
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