Events

This talk presents three streams of research on the growing role of AI models in operations management. First, I unpack the architecture and logic of large language models, examining how the pretraining and fine-tuning paradigm can inspire new methods for large-scale optimization in data-scarce environments, as well as how LLMs may introduce systematic biases when deployed in operational settings. Second, I discuss stylized models of LLMs and their economic and operational implications, including the impact of generative AI on co-creation and the potential for LLM-induced collusive pricing behavior. Third, I turn to the design and deployment of AI agents, with a particular focus on agentic buying agents and how they may transform purchasing through recommendation, search, and decision delegation. Across these settings, AI emerges not only as a tool for decision support but also as an active participant in economic and operational systems.