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As large language model technology reshapes human-computer collaboration patterns,is artificial intelligence(AI)an engine accelerating the growth of labor income or a catalyst disrupting employment structures?Based on data from A-share listed companies in Shanghai and Shenzhen between2009 and 2023,and leveraging the widespread adoption of large language models in 2021,this study employs a difference-in-differences(DID)model for empirical research.The results indicate that the level of AI application in enterprises has a significantly positive effect on labor income,with corporate digital transformation serving as an important channel for this effect.Heterogeneity analysis reveals that the promotive effect of AI is stronger in eastern regions than in western regions;non-heavily polluting industries experience greater benefits in labor income;high-tech and non-asset-intensive industries exhibit stronger adaptability to AI;and the effects are significant in both labor-intensive and non-labor-intensive industries.However,under high AI application levels,significance is maintained in both types of industries,whereas under low AI levels,neither shows significance.Further analysis shows that AI significantly drives overall enterprise employment growth,particularly in enterprises with high AI application levels.This study provides empirical evidence for corporate decision-making in human resource allocation and technological innovation from the perspectives of employee income and employment.Policy recommendations are proposed,including focusing on enterprise AI application levels,implementing tiered incentives,strengthening leadership in advantaged industries,promoting regional coordinated development,deepening innovation-integration and employment support,and advancing the implementation of AI technology to foster labor income growth.
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Basic Information:
DOI：10.20207/j.cnki.1007-3116.20260108.002
China Classification Code:F272.92;F249.2;TP18
Citation Information:
[1]SHI Guodong,DONG Ailin,HU Guoheng ,et al.Research on the Impact of Artificial Intelligence on Employee Income and Employment[J].Journal of Statistics and Information,2026,41(02):29-41.DOI:10.20207/j.cnki.1007-3116.20260108.002.
Fund Information:
国家社会科学基金项目“知识资本多元化驱动制造业价值链迭代升级研究”（21BJY084）; 教育部人文社会科学研究一般项目“人工智能冲击下‘任务—技能’缺口与动态适配机制研究”（25YJAZH148）; 上海杉达学院科研基金项目“我国ESG评级的分阶段引入对企业绿色创新和融资问题的影响研究”（2025BSZX04）