暨南学报(哲学社会科学版)

作者：陈建硕, 薛小龙

单位：广州大学管理学院。

关键词：人工智能技术,劳动投资效率,运营管理效率,信息不对称,劳动力资源结构

基金：国家社会科学基金一般项目“数据资源入表激发企业科技创新投资活力的机制与路径研究”(24BGL082);广东省普通高校人文社科重点研究基地“国家工信安全中心-广州大学数字经济创新发展研究院”(2024WZJD011);广东省哲学社会科学规划项目“数字技术创新网络演化及其促进制造业当家的突破路径研究”(GD23XGL073);广东省教育厅创新团队项目“数字经济创新管理”(2022WCXTD020)。

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As microeconomic entities in the market, businesses face not only the pressure of rising labor costs but also the necessity of optimizing their workforce structure to meet the demands of economic transformation. To align with the trends of the digital economy, businesses are inclined to apply digital technologies such as artificial intelligence (AI) to harness data in driving business processes and facilitating the digital transformation and transformation of enterprises. As AI technology continues to expand its application scenarios within businesses, it is important to explore how AI technology affects labor investment efficiency, and how to leverage AI for further optimization of labor factor allocation efficiency. 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来源：2025年第5期

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