Webinar Series

 

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Expected Economic Impacts of Open-Source AI Models: Firm-Level Evidence
AI as Business Infrastructure: Platform Provision and Firm Growth

13
Nov
2026
Friday

Session Chair: Zheng (Michael) SONG
Wei Lun Professor of Economics, Chinese University of Hong Kong and ABFER

10:00 am
Expected Economic Impacts of Open-Source AI Models: Firm-Level Evidence

Bernard YEUNG, Chair Professor, Southern University of Science and Technology; Emeritus Professor, NUS Business School, National University of Singapore and ABFER

Co-authors:
Sung Kwan Lee, Assistant Professor of Finance, The Chinese University of Hong Kong, Shenzhen
Yujun ZHOU, PhD student, School of Economics and Management, Tsinghua University
10:20 am
AI as Business Infrastructure: Platform Provision and Firm Growth

Zhe YUAN (Joey), Hundred Talents Professor, School of Economics, Zhejiang University

Co-authors:
Panle JIA BARWICK, Todd E. and Elizabeth H. Warnock Distinguished Chair Professor of Economics, University of Wisconsin-Madison
Lu FANG, Assistant Professor, Zhejiang University
Jinhan LIU, PhD student, Zhejiang University
Huilan XU, Researcher (Hundred Talents Program), Doctoral supervisor, College of Economics, Zhejiang University
10:40 am
Open Discussion & Q&A
Moderator:
Zheng (Michael) SONG, Wei Lun Professor of Economics, Chinese University of Hong Kong and ABFER
11:10 am

Updated 23 Oct 2026

Session Format

Each session lasts for 1 hour 10 minutes (20 minutes for each presentation and 25 minutes for open discussion and participants' Q&A). Sessions will be recorded and posted on ABFER website, except in cases where speakers or discussants request us not to.

Registration

Please register here to receive a unique Zoom link. (Notice: Videos and screenshots will be taken during each session for the purpose of marketing, publicity purposes in print, electronic and social media)