学术活动

2025年8月28日（周四）

10:30 - 12:00

综合教学楼D604会议室

韩妙哲

香港科技大学

The rapid proliferation of generative artificial intelligence (GenAI) is significantly reshaping the labor market. While existing literature primarily focuses on GenAI’s isolated effects on either labor demand (e.g., task automation) or labor supply (e.g., skill development), research exploring the combined, interactive effects on firm-labor dynamics remains limited. This study addresses this gap by examining how the interplay between firms and job candidates has changed since the advent of GenAI. Leveraging data from a leading bi-directional job matching platform in China, we investigate key pipeline metrics, from initial communication (measured by the volume of chats, resumes, and contact information exchanged) to final conversion (operationalized as the successful scheduling of an interview), across job categories differentially affected by GenAI. Our findings demonstrate that highly affected positions experience a significant increase in overall communication volume, yet no corresponding change in interview conversions. Further analyses reveal that these observations stem from divergent changes on the part of firms and candidates. Specifically, among highly affect positions, candidates initiate significantly more communication but achieve fewer interview conversions, while firms initiate less communication yet secure more interviews. A dynamic regression analysis confirms the persistence of these divergent trends throughout our observation period. We discuss potential explanations and implications for both firms and individuals navigating this evolving job market landscape.

韩妙哲是香港科技大学（HKUST）商学院信息系统系助理教授。她的研究主要集中在人工智能和数字平台，其研究成果已发表于多个领先的学术期刊，包括《信息系统研究》、《制造与服务运营管理》和《美国国家科学院院刊》。她在香港中文大学（CUHK）商学院信息系统系获得博士学位，在复旦大学管理学院获得本科学位。