Seminars topic: The rise of Artificial Intelligence (AI) provides creators with substantial tools when contributing content to platforms, but also raises challenges when human creators overly delegate tasks to AI to reduce costs. This presentation introduces a game-theoretic model to explore how platforms can adjust revenue-sharing levels to incentivize human creators. Findings reveal that: (1) when delegation effectively improves output, platforms should reduce the revenue-sharing level, as AI partially substitutes for the creator; (2) when delegation fails to improve output, platforms should increase revenue-sharing to encourage human effort on tasks AI struggles with; (3) excessively strong AI may harm both platforms and broader stakeholders by causing creators to excessively shirk effort, thereby reducing overall welfare.

Scholars Background: Yifan Yao is a Professor of Information Management and Business Intelligence at the School of Management, Fudan University, where he also supervises doctoral students and serves as Associate Department Chair. His main research interests are in e-commerce, platform economy, and digital virtual currency economics. He received his Bachelor’s and PhD degrees in Economics from Tsinghua University. Professor Yao has published extensively in leading domestic and international journals, with his work appearing in outlets such as the Harvard Business Review. He was named a “Changjiang Young Scholar” by the Ministry of Education and was awarded the 2023 “China Management Youth Award.”

Time and Location: July 30, 2025, 10:00–11:30, Room A423, School of Management

Language: Bilingual (ENG & CN)