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Against the backdrop of artificial intelligence (AI) deeply empowering the real economy, technological progress has profoundly affected the income distribution structure of enterprises, with changes in the labor income share drawing wide attention. Focusing on Chinese A-share listed companies, this paper constructs a firm-level fixed effects panel regression model to empirically examine the impact of AI application on the labor income share. Furthermore, the paper introduces the level of common prosperity as a moderating variable to explore its moderating effect and heterogeneity. The results indicate that AI application significantly increases enterprises’ labor income share. Further analysis reveals that the level of common prosperity plays a positive moderating role in the relationship between AI application and labor income share. This moderating effect is more pronounced in companies located in central and western regions and in those with stronger external governance.
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Jianguo Hu (2025) studied this question.
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