嘉　宾：Keongtae Kim  Professor  Chinese University of Hong Kong

主持人：刘佳璐  副教授  上海交通大学安泰经济与管理学院

时　 间：2025年10月9日（周四）9:00-10:30

地　 点：上海交通大学徐汇校区安泰楼A305

内容简介:

Recent advancements in generative artificial intelligence (AI) have paved the way for tools that can automate knowledge work, with open source software (OSS) development seeing an influx of AI-based tools for code automation and feedback. These AI tools have shown promise in increasing productivity. However, less is known about how developers‘ technical activities have changed and whether AI-augmented OSS development yields personal career benefits. We leverage the March 2023 release of GitHub Copilot X as a natural experiment, analyzing a 25-week panel dataset of 1,373 GitHub developers through difference-in-differences with coarsened exact matching. Furthermore, we augment our GitHub data with individual LinkedIn career trajectories over 6-12 months post-treatment. We find that developers engage in “cognitive arbitrage,” experiencing lowered cognitive and time opportunity costs in development activities, enabling increased sustained and exploratory development of more varied coding activities. Additionally, heterogeneous analysis provided further insights by suggesting that casual developers utilized AI more to reduce opportunity costs. Interestingly, we found evidence that this enhanced development activity translated into increased short to medium-term career benefits for all developers. Overall, our research suggests that generative AI fundamentally alters the open innovation equation by removing human cognitive barriers, allowing developers to assume more creative roles while simultaneously accelerating their career advancement opportunities. Furthermore, our findings challenge the long-held belief that OSS developers must accept delayed career opportunities, demonstrating that AI tools may have substantially reduced this opportunity cost.

演讲人简介：

Professor Keongtae Kim is a Professor in Department of Decisions, Operations and Technology, The Chinese University of Hong Kong (CUHK) Business School. He earned his PhD in Information Systems from the Robert H. Smith School of Business at the University of Maryland. His main research focuses on Economics of IS/IT, digital innovation/entrepreneurship, FinTech, and Economics of AI/ML. His research has been published in Information Systems Research and MIS Quarterly, among others. He has won several awards including Research Excellence Award of CUHK, Young Researcher Award of CUHK, INFORMS Sandy Slaughter Early Career Award, and AIS Early Career Award. He has consulted for and been collaborating with several companies such as Naver and Wadiz. 

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