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微观理论wokshop:Artificial Intelligence in Team Dynamics: Who Gets Replaced and Why?

发布日期:2025-11-20 00:00    来源:

时间:11月20日(周四)10:30 a.m.-12:00

地点:北京大学经济学院302

主持老师:吴泽南,石凡奇(经院);胡岠(国发院)

参与老师:胡涛,吴泽南,石凡奇(经院);汪浩,胡岠,邢亦青(国发院);翁翕,刘烁(光华)

主讲人:程协南(北京大学光华管理学院思想力博士后)

题目: Artificial Intelligence in Team Dynamics: Who Gets Replaced and Why?

摘要:

This study investigates the effects of artificial intelligence (AI) adoption in organizations. We ask: First, how should a principal optimally deploy limited AI resources to replace workers in a team? Second, in a sequential workflow, which workers face the highest risk of AI replacement? Third, would the principal always prefer to fully utilize all available AI resources, or are there any benefits to keeping some slack AI capacity? Fourth, what are the effects of optimal AI deployment on the wage level and intra-team wage inequality? We develop a sequential team production model in which a principal can use peer monitoring—where each worker observes the effort of their predecessor—to discipline team members. The principal may replace some workers with AI agents, whose actions are not subject to moral hazard. Our analysis yields four key results. First, the optimal AI strategy stochastically replaces workers rather than fixating on a single position. Second, the principal replaces workers at the beginning and at the end of the workflow, but does not replace the middle worker, since this worker is crucial for sustaining the flow of information obtained by peer monitoring. Third, the principal may optimally underutilize available AI capacity. Fourth, the optimal AI adoption increases average wages and reduces intra-team wage inequality.

主讲人介绍:程协南,北京大学光华管理学院思想力博士后,密歇根大学安娜堡分校经济学博士。主要研究领域为信息经济学和数字经济。在理论经济学顶刊Journal of Economic Theory上,一篇论文已获有条件接受,另一篇处于返修阶段。担任Journal of Economic Theory, Theoretical Economics, Management Science, Journal of Economics & Management Strategy等知名期刊的匿名审稿人。

 

 

 

 


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