{"title":"Artificial intelligence and enterprise total factor productivity: A human capital requirement perspective","authors":"Chen Fan, Xuehui Liao, Xin Yang","doi":"10.1016/j.iref.2025.104661","DOIUrl":null,"url":null,"abstract":"<div><div>In the context of the new technological revolution, artificial intelligence (AI) has emerged as a critical driver of economic growth. This study constructs a novel AI indicator using Chinese internet recruitment data and examines the effects of AI on enterprise total factor productivity (TFP) from a human capital requirement perspective. The results indicate that AI can significantly enhance enterprise TFP. This improvement is primarily attributed to improved product competitiveness and optimized human capital structure. Moreover, this positive effect is more pronounced in the enterprises with greater intellectual capital, higher investment intensity in experienced AI-related human capital, and stronger government support. Further analysis reveals that widespread AI adoption induces resource reallocation within the industry. These findings deepen the understanding of the role of AI in enterprise production practices.</div></div>","PeriodicalId":14444,"journal":{"name":"International Review of Economics & Finance","volume":"104 ","pages":"Article 104661"},"PeriodicalIF":5.6000,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Review of Economics & Finance","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S105905602500824X","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0
Abstract
In the context of the new technological revolution, artificial intelligence (AI) has emerged as a critical driver of economic growth. This study constructs a novel AI indicator using Chinese internet recruitment data and examines the effects of AI on enterprise total factor productivity (TFP) from a human capital requirement perspective. The results indicate that AI can significantly enhance enterprise TFP. This improvement is primarily attributed to improved product competitiveness and optimized human capital structure. Moreover, this positive effect is more pronounced in the enterprises with greater intellectual capital, higher investment intensity in experienced AI-related human capital, and stronger government support. Further analysis reveals that widespread AI adoption induces resource reallocation within the industry. These findings deepen the understanding of the role of AI in enterprise production practices.
期刊介绍:
The International Review of Economics & Finance (IREF) is a scholarly journal devoted to the publication of high quality theoretical and empirical articles in all areas of international economics, macroeconomics and financial economics. Contributions that facilitate the communications between the real and the financial sectors of the economy are of particular interest.