Barron's Advisor Matt Reiner: Practical AI Use Cases for High-Growth RIAs
Sep 23, 2025
In this engaging conversation, Matt Reiner, a managing partner at Capital Investment Advisors and AI enthusiast, dives into practical AI applications in wealth management. He clarifies the noise from genuine AI use cases, such as AI note-takers for meeting summaries and CRM integration. Reiner also explores the evolving landscape of agentic AI, which automates tasks efficiently, while emphasizing that emotional intelligence remains key for advisors. His insights on managing cultural change and fostering a curious, experimental mindset are both thought-provoking and actionable.
AI Snips
Chapters
Transcript
Episode notes
Use A Portfolio Approach To Tech Adoption
- Maintain a technology portfolio: allocate most to proven tools, some to speculative, and a small share to exponential experiments.
- Roll out new tech gradually and pilot internally before client exposure.
Agents Coordinate Specialist AI Workers
- Agentic AI executes tasks autonomously by coordinating specialized sub-agents to fetch and assemble information.
- That lets a single request produce multi-source deliverables like meeting prep or research and an email send.
Agent Sent Research Email End‑To‑End
- Matt used Perplexity Comet to research AI ETFs, draft an email, and send it from Gmail without manual clicks.
- That live example shows agents can complete end-to-end client tasks today.