AI can help equity traders serve portfolio managers faster by bringing together an order's purpose, constraints, current execution status, relevant market conditions, and prior trading context in one usable view. This can reduce the time spent locating information so the trader can discuss execution choices, risks, and trade-offs with the PM more quickly and clearly.

At the 2026 Equities Leaders Summit panel Around the World in 30 Minutes, Eden Simmer, Executive Vice President – Head of Global Equity Trading at PIMCO, described a changing relationship between technology and trading. "Technology is absolutely going to be driving market structure and the way we do things going forward," she said. For the trader-PM relationship, that means AI should improve the flow of contextual information at the point of decision. The trader remains responsible for interpreting the order, market conditions, and execution choices.

In a separate event discussion, buy-side participants highlighted the growing range of demands placed on trading teams, including requests from portfolio managers for technology-related support. An AI assistant can help address this pressure by retrieving order and analytics context efficiently, allowing the trader to focus on the conversation and the execution decision rather than on manual information gathering.

Execution traders, heads of trading, and portfolio implementation leaders should begin with one repeatable PM interaction, such as an order status request or a discussion of execution options. Define the information a trader needs to answer it, validate the data sources, establish what the assistant can summarize, and retain human approval for any recommendation or action. Measure whether the pilot reduces response time without weakening the quality of the execution discussion.

Join the upcoming Equities Leaders Summit to explore how buy-side firms are redesigning trading workflows so AI can strengthen collaboration between traders and portfolio managers.