{"title":"Is AI the new corporate monitor? Evidence from excessive on-the-job consumption","authors":"Lang Wu, Lili Ge","doi":"10.1016/j.econlet.2025.112424","DOIUrl":null,"url":null,"abstract":"<div><div>Excessive on-the-job consumption (EOJC) represents a manifestation of corporate agency problems that ultimately undermines firm value. As artificial intelligence (AI) applications permeate various aspects of corporate operations, this study examines AI’s impact on EOJC. Analyzing 2788 Chinese manufacturing firms (2007–2022), we find AI implementation significantly reduces EOJC by dissolving hierarchical information barriers to enhance governance quality and curbing managerial discretion through algorithm-driven decision protocols. Further analysis reveals that AI exerts stronger governance effects in highly competitive industries by augmenting existing market discipline mechanisms, while synergizing with information-transparent firms to amplify monitoring efficacy. These findings reveal AI’s potential for institutional transformation in corporate governance systems.</div></div>","PeriodicalId":11468,"journal":{"name":"Economics Letters","volume":"254 ","pages":"Article 112424"},"PeriodicalIF":1.8000,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economics Letters","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0165176525002617","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
Excessive on-the-job consumption (EOJC) represents a manifestation of corporate agency problems that ultimately undermines firm value. As artificial intelligence (AI) applications permeate various aspects of corporate operations, this study examines AI’s impact on EOJC. Analyzing 2788 Chinese manufacturing firms (2007–2022), we find AI implementation significantly reduces EOJC by dissolving hierarchical information barriers to enhance governance quality and curbing managerial discretion through algorithm-driven decision protocols. Further analysis reveals that AI exerts stronger governance effects in highly competitive industries by augmenting existing market discipline mechanisms, while synergizing with information-transparent firms to amplify monitoring efficacy. These findings reveal AI’s potential for institutional transformation in corporate governance systems.
期刊介绍:
Many economists today are concerned by the proliferation of journals and the concomitant labyrinth of research to be conquered in order to reach the specific information they require. To combat this tendency, Economics Letters has been conceived and designed outside the realm of the traditional economics journal. As a Letters Journal, it consists of concise communications (letters) that provide a means of rapid and efficient dissemination of new results, models and methods in all fields of economic research.