PFP2602. Intelligent Portfolios: How AI Enhances Research, Allocation, and Client Decisions

Artificial intelligence is transforming investment management—from research and security selection to tax planning, rebalancing, and client communication. But planners often see only the extremes: either black-box “AI robo” marketing or discrete AI tips like “use ChatGPT to summarize earnings calls.”

This session goes deeper. We’ll examine how advisors can incorporate AI into the entire investment process—as a research assistant, portfolio analyst, risk evaluator, tax optimizer, scenario-generator, and client explainer—while maintaining human judgment, fiduciary standards, and compliance controls.

We’ll walk through practical examples you can use immediately, plus governance considerations that ensure AI augments your process safely and intelligently.

Advisors will leave with an actionable roadmap for building an AI-augmented investment process, not just a collection of tools.

Learning Objectives:

• Identify use cases for AI in investment research, including generating summaries of regulatory filings, comparing portfolio products, detecting financial anomalies, and developing structured due‑diligence workflows.
• Apply AI‑enabled tools to portfolio construction and optimization, such as asset‑allocation modeling, factor‑exposure analysis, Monte‑Carlo scenario enhancement, and client‑specific portfolio narrative creation.
• Evaluate how AI can support tax‑aware investing, including tax‑loss harvesting guidance, identifying cross‑account tax drag, and reviewing client‑specific bond ladder or municipal bond strategies.
• Leverage AI to improve client communication and education, translating complex investment concepts into plain language, generating personalized materials, visualizing risk or volatility, and enhancing quarterly review conversations.