AI, Vibe Coding, and the Real Risk Facing Advisors
Johnny Sandquist
Founder & CEO, Three Crowns Copywriting & Marketing
At the 2026 Fearless Investing Summit, Torie Happe and I sat down with Dan Zitting, CEO of Nitrogen, for a live recording of Money Chronicles. The conversation went quickly to a question that is all-important right now: what does AI-enabled software actually mean for advisors on the ground?
Can someone realistically pull up Claude on a weekend and build their own applications? And if they can, should they?
Dan’s answer wasn’t dismissive. He said advisors should learn what he called “vibe coding.” Not to spin up a full tech stack in a hackathon sprint, but to understand how these systems work so they can engage more intelligently with the partners building them.
The Cost of Not Experimenting
We’re in a moment where the cost of experimentation has collapsed. You can build a workflow prototype in an afternoon. You can create an internal tool that organizes your thinking, drafts communication, or coaches you through daily priorities. For individual productivity, the risk is low and the learning curve is steep in your favor.
But wealth management is not a low-stakes environment. Compliance exists for a reason. Portfolio decisions, client communication, and tax-sensitive strategies operate inside a framework that demands guardrails. The difference between experimenting with a personal system and deploying infrastructure that affects client outcomes is a structural challenge.
That’s where the conversation gets more interesting.
When Dan compared this moment to the cloud transition, he didn’t suggest it was a repeat. He suggested it was larger and faster. The cloud changed distribution and infrastructure. AI is changing interaction and creation. That shift doesn’t automatically displace advisors, but it does change the baseline of what competence looks like.
How Advisors Should Navigate the AI Shift
The firms that navigate this well will likely do two things simultaneously. They will experiment at the edges, building fluency in how these systems function. And they will rely on trusted partners to architect the scalable, regulated layers of infrastructure that can’t afford improvisation.
One of the more human moments in our conversation with Dan had nothing to do with AI at all. He shared the story of selling his first company and then freezing when the cash hit his bank account. For someone who understood markets, risk, and long-term investing, the emotional weight of that decision still landed. Technology may accelerate execution, but money remains deeply personal.
Our full conversation with Dan explores that tension in more depth, from vibe coding and enterprise risk to entrepreneurship and the psychology of sudden liquidity.
You can watch the full episode of Money Chronicles here.