Share practical experiences of applying AI in daily trading workflows. Discuss how firms are using language models to distill market intelligence, summarize broker commentary, and deliver PM-specific insights — and how to move from experimentation to real, scalable value on the desk. 

Most firms have AI pilots. Far fewer have scaled them. This panel moves past "is AI useful?" to the four applications that matter right now: AI for investment research and idea generation; operational efficiency through automated pre- and post-market workflows; AI-assisted execution and macro-aware algos; and the agentic frontier — models that decide what to buy AND execute the trade. Held under the Chatham House Rule so panelists can speak from real experience, not the marketing deck.