AI is no longer a feature. It’s becoming infrastructure. In this episode of AI in Finance, I explore how agentic AI — from browser-based tools like Gemini and Atlas to autonomous assistants — is reshaping how information is gathered, how decisions are made, and how clients discover advisors. The shift isn’t subtle. We’re moving from manual search and static workflows to AI that navigates, reasons, and executes on our behalf.
For advisory firms, this changes the competitive landscape. When AI agents can surface answers instantly, differentiation no longer comes from access to information — it comes from trust, context, and imagination. I talk through what this means for visibility, digital presence, vendor selection, and the coming economic reality of AI costs rising as free tiers disappear. The firms that treat AI as a core operating layer — not an optional add-on — will be positioned to adapt as SaaS models evolve and custom AI-built workflows become viable.
The deeper message isn’t about chasing every new tool. It’s about building fluency. Experimenting regularly. Understanding how AI reasons, where it fails, and how to combine its optimization power with uniquely human judgment and creativity. The advisors who thrive won’t be the ones who resist AI — they’ll be the ones who learn to direct it with clarity and use it to expand the scope of what they can deliver.
