Footnote:
Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments April 23, 2023 erstellt
Description:
In this paper, we investigate the potential impact of recent advances in AI, Generative Pre-trained Transformers (GPTs), on the labor markets in China. Using occupational data and the census data about the Chinese economy, we first adopt a recently developed methodology and design a rubric to link China’s occupations with new capabilities enabled by GPTs. Then we systematically estimate the extent to which occupations, industries, and geographic regions are exposed to the capabilities of GPTs in China. Our findings show that the contemporary labor markets in China have lower potential of exposure to GPTs compared to the U.S., in terms of the percentage of tasks within occupations exposed to GPTs. While the magnitude of potential exposure could be relatively small, we find that GPTs, at their current status, could have pervasive effects across different occupations, industries, and cities in China. New capabilities enabled by GPTs could have greater impacts on knowledge-oriented job categories. Information processing and financial sectors could face the highest exposure, whereas mining and construction sectors could have much lower exposure. Our exploratory analyses of over 300 major cities in China show that GPTs could have greater impacts on the workforce in premium cities that are direct-controlled municipalities, sub-provincial level municipalities, or provincial capitals. Implications of the findings are discussed. Overall, this study sheds light on the general-purpose nature of GPTs and structural changes that they could bring about in one of the major developing economies in the world