The excitement around AI in wealth management is impossible to ignore. Everywhere you turn, wealth technology companies are adding new features, presenting more tools, or promising that AI saves time.
But inside firms, the reality often feels messier. What gets lost in the buzz is that real adoption doesn’t start with access — it starts with education.
It’s a losing game to impose AI tools without preparing advisors to use them effectively. It can lead to low engagement, undercutting a firm’s investment. Worse, it can create frustration, reinforce generational divides, and turn a helpful tool into a burden.
If firms want to get meaningful value out of AI, they need to invest just as much in accessible, inclusive training as they do in the technology itself. The thinking behind this strategy is as follows:
1. Everyone is starting from a different place.
One of the biggest misconceptions about AI is that everyone’s ready to use it the same way. In wealth management, that’s rarely true. Many advisors have built long, successful careers without relying on technology, much less conversational AI or prompt-based tools.
Don’t assume that their hesitance means they are resistant to change; they’re most likely unsure of how to use AI, and how it can best fit into their daily workflow.
The challenge is that many tools assume a level of high- tech fluency, which isn’t common across every demographic. Without clear guidance, this assumption can create a divide between early adopters and recent beginners.
That divide can show up in workflow slowdowns, the underuse of tech tools, and tension between teams. And in hybrid environments, where communication already takes more effort, that gap can grow quickly.
Generational dynamics make this even more complex. We’ve seen that newer entrants to the profession, especially younger advisors, are often more comfortable and willing to experiment with AI tools from the outset.
But for more experienced advisors who’ve built their careers around phone calls and personal conversations, the leap to AI-assisted workflows can feel abrupt. That’s why one-size-fits-all training doesn’t work. Effective education accounts for different comfort levels and gives everyone a way to engage on their own terms.
2. Good AI training sets your firm up for success.
Foundational education helps address those gaps. Teach new users how to structure a prompt, how the tool interprets inputs, and where AI works best. These core ideas can give them more confidence to try new things.
Comprehensive education also cuts down on that moment of frustration when the results don’t match expectations — a common complaint that’s often more about the input than the technology itself.
This kind of upfront investment pays off later. When people feel confident using the tools, they’re more likely to experiment, share insights, and identify opportunities for improvement — all things that contribute to a stronger return on a firm’s AI investment.
3. AI still needs human judgment.
Once someone learns the basics, there’s another lesson to reinforce: AI isn’t infallible. One example we’ve seen internally, and heard from firms, is around meeting transcripts. AI note-takers can capture everything, but they often miss context.
Jokes or sarcasm get taken literally, and that interpretation can turn into misleading summaries. If those notes get shared or archived without review, they can create more problems than they solve.
That’s why a firm’s culture around AI matters as much as the tool’s capabilities. If people are taught to see AI as a tool, and not a replacement for thought or oversight, adoption tends to go more smoothly.
This doesn’t mean firms have to drown their advisors with disclaimers. It just means reinforcing that human review still plays a role, especially in compliance-heavy environments like financial services.
4. Training helps firms overcome uncertainty.
The hybrid work model, which has taken shape over the past five years, has made tech fluency a core function of firm operations. If one person doesn’t understand how to use the platform the team relies on, that’s not just an individual issue. It slows everyone down.
And yet, too often, firms are throwing new features and tools at people without a clear framework for use. There’s pressure to show progress, to launch something. But when users don’t understand what it does or how to apply it to their role, the tool quickly becomes shelfware.
We’re seeing this across the industry. Even among vendors, there’s still a lot of uncertainty about how to price AI features or measure its success. That confusion filters down to firms and advisors, who may feel overwhelmed or unclear about where to begin.
The sooner someone sees how AI can help with the parts of their job that are repetitive or time-consuming, the sooner they can refocus that energy on what matters most: client relationships, strategic thinking, and quality work.
That shift doesn’t happen because a tool is powerful. It happens because people feel ready to use it.
Emily Wilcox is the chief operating officer of Practifi, a CRM system built for the wealth management industry.
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