Financial Advisors Need to Rethink AI Adoption
Artificial intelligence has quickly become one of the most talked-about topics in financial advice. Yet despite the constant headlines, many advisors are still asking the wrong question.
They want to know which AI tool to use. The better question is whether they’re rethinking how they run their business in the first place.
During a recent conversation with Michael Hyatt, New York Times bestselling author and entrepreneur, on the “Do Business. Do Life.” podcast, one theme kept surfacing. AI isn’t creating new winners and losers. It’s accelerating the habits firms already have. Advisors who approach AI with curiosity and intention are finding ways to create more capacity for clients. Those waiting for the “perfect” moment to begin may discover the profession has already moved ahead.
When I asked Michael why ignoring AI is one of the biggest mistakes financial advisors can make, he didn’t hesitate.
“I think this is probably the biggest technological change we’ve seen in the history of humanity,” he said. “And the people who stick their heads in the sand are going to be casualties.”
That’s a bold statement. But it carries weight because Michael isn’t a Silicon Valley technologist. He’s spent decades building businesses, leading teams and helping entrepreneurs navigate change.
It Starts with a Story, Not a Tool
The biggest obstacle to AI adoption isn’t choosing the right platform. It’s the mindset.
As Michael explained, many advisors convince themselves they simply aren’t “technical people.” That story quickly becomes a self-fulfilling prophecy.
“The most dangerous story an entrepreneur can tell is ‘I’m just not technically inclined.’”
Michael has seen the opposite play out as well. His 92-year-old father recently used ChatGPT to help build a financial plan for the next stage of his life. The lesson isn’t about age. It’s about curiosity.
Successful AI adoption comes down to three qualities, according to Michael: curiosity, persistence and resilience. Financial advisors already possess these traits. They’ve built businesses, navigated volatile markets and earned clients’ trust over decades. The challenge isn’t developing those skills. It’s applying them to a new way of working.
Compliance Should Shape Adoption, Not Prevent It
Compliance is an important consideration, but it shouldn’t become a reason to dismiss AI altogether.
Every firm must determine how AI fits within its own compliance framework. Fortunately, many of the earliest and most valuable applications don’t involve sensitive client information at all.
AI can already help advisors document processes, summarize internal meetings, draft marketing content, organize research and automate repetitive administrative work. Meanwhile, compliance-focused AI platforms, secure environments and anonymization tools continue to evolve, giving firms additional options as the technology matures.
The goal isn’t to remove human oversight. It’s to eliminate low-value tasks so advisors can spend more time where they add the greatest value.
The Destination Most Advisors Skip
Too often, AI conversations focus on efficiency alone. But efficiency isn’t the destination. Capacity is.
As Michael shared, technology should create more freedom for advisors to focus on the work only they can do: strengthening client relationships, developing future leaders, thinking strategically and creating margin for both business and life.
That’s a much more meaningful measure of success than simply completing tasks faster. Advisors don’t build successful firms because they want to answer more emails. They build them to spend more time serving clients and leading their teams. AI has the potential to make that possible if it’s adopted with intention.
A Roadmap, Not a Revolution
One of the frameworks Michael shares is his AI Ascension Model, which outlines how businesses typically progress from using AI as a simple research assistant to eventually integrating AI into recurring workflows and specialized agents.
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Level One is Oracle, using AI as a smarter search engine. There’s no shame in beginning here; it’s the natural starting point for nearly everyone.
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Level Two is Consultant, where AI acts as a domain expert in your specific context. Output quality scales with the prompts you give it. The faster you learn to brief it, the faster it delivers.
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Level Three is Confidant, where AI has persistent knowledge of you, your firm, your clients, and your workflow. It no longer needs to be briefed from scratch every time. This is where the real efficiency starts.
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Level Four is Agent, where AI executes tasks semi-autonomously. Meeting summaries, newsletter drafts, daily briefings and research packages. You set the parameters; it does the work.
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Levels Five and Six are where AI coordinates entire teams and workflows, and where, specifically in financial services, human oversight remains non-negotiable. The regulatory defense “the AI told me to” doesn’t hold. Nor should it. The human is still the governor.
Most advisors are operating at Level One or Two. The gap between where they are and where they could be, in terms of time freed, capacity expanded and focus sharpened, is enormous.
The Human Advantage
Advisors often ask whether AI will eventually replace the client-advisor relationship. I believe the opposite is happening.
The best advisors are using AI to remove everything that gets in the way of the relationship, allowing them to spend more time delivering the qualities technology can’t replicate: judgment, empathy, trust and presence.
Every major shift in financial services has rewarded firms willing to adapt before they were forced to do so. AI appears to be no different.
The firms that benefit most won’t necessarily be the first to adopt every new tool. They’ll be the ones that use technology intentionally, remove administrative friction and give advisors more time to do what clients value most.
AI won’t replace great advisors. It may simply make the best ones even better.
