Dan Cavanaugh, Head of Wealth Management, recognized.
For years, the narrative around artificial intelligence in money management has presented it as a threat with algorithms ultimately replacement of consultantsAutomating relationships and commoditizing trust.
Although this is a compelling story, it is wrong.
The real opportunity in AI is to elevate advisors, not replace them. When used correctly, technology does not distance advisors from clients; This creates the conditions for more meaningful, more human relationships on a larger scale.
trust paradox
Trust has always been the foundation of financial advice. But building trust has historically been hindered by time. You can only prepare for so many meetings, research so many possibilities, and maintain so many deep relationships. That limitation forces a trade-off between scale and personalization.
Technology—particularly AI—is starting to remove that barrier. Today, AI can surface insights, identify opportunities and automate time-intensive tasks like data gathering, meeting preparation and follow-up workflows.
But the point is that none of these activities are what customers value most. Customers value judgment and empathy. They value someone who understands not only their portfolio, but also their priorities, fears, and long-term goals. Indeed, research by psychologists Daniel Kahneman and Amos Tversky has shown that we often make financial decisions based on emotion instead of logic
Although AI can mimic human emotions, it cannot replace them. Instead, it increases your ability to show greater empathy, insight, and relevancy.
From information to insight
For decades, financial advice has been built on access to information. Today, information is abundant, and real insight is rare. This is where AI changes the equation.
Historically, gaining an edge required hedge fund manager John Paulson once described “100 percent focus and constant searching, finding information, and understanding the relevance of that information.” Success came from the ability to uncover signals quickly and connect disparate pieces of information before others.
That mindset still defines great advisors. What has changed is the effort required to get there.
Instead of spending hours gathering data, you can now start with a clear picture: who the customer is, what’s changing in their lives and when engagement matters most. Technology can surface signals like career moves, liquidity events, and life changes – indicators that the conversation is not only relevant, but necessary. (Full disclosure: My company’s platform provides these types of insights.)
That said, you don’t need a dedicated platform to surface these insights yourself. Many widely available AI tools, including ChatGPT and the cloud, can help speed up the research process if used thoughtfully.
A practical starting point is to use AI to organize and synthesize publicly available information. You can prompt tools to summarize a customer’s professional background, recent company developments or industry trends, and then layer in manual verification to ensure accuracy. Monitoring signals such as job changes, company announcements, board appointments or liquidity events can often be done by combining AI-assisted research with sources such as LinkedIn, news alerts and company filings.
The key is not just to collect more information, but to apply judgment to interpret what matters and why. AI can help surface patterns and connections faster, but it’s still up to you to assess relevance, validate context, and determine the right time to engage. In that sense, technology enhances the process, but the thinking remains completely human.
In many ways, AI does not replace the “constant digging” described by Paulson; It measures it. This allows you to focus less on finding information and more on interpreting and acting on it.
The shift from reactive to proactive fundamentally changes the customer experience. It’s no longer about periodic check-ins that may seem rushed, under-prepared, or of limited value. It’s about timely, relevant engagement that shows customers you’re paying attention.
And in a relationship-driven business, that’s what builds trust.
Scaling Personalization, Not Standardization
One of the biggest misconceptions about AI is that it standardizes advice. In fact, when implemented thoughtfully, it enables the opposite, which is personalization at scale.
Consider what happens when you’re not busy with administrative tasks. You have more time to ask better questions, listen more carefully, and give advice based on actual context rather than assumptions.
Plus, AI can ensure that no opportunity is missed. This can help you maintain consistency in your growing customer base without compromising on quality.
The result is a model where every customer feels known, not managed. And that’s important in an environment where trust is increasingly tied to relevance.
humanitarian benefits are not ending
Despite the rapid adoption of AI tools, people Continue to put people first Be the one making financial decisions. This fact shows some basics about financial decision making.
As mentioned, money is emotional. It is associated with identity, security and legacy, often representing years of hard work and sacrifice. No algorithm can fully account for those dimensions.
Even as AI becomes more sophisticated, its role in analyzing data, identifying patterns, and improving efficiency will remain instrumental. But empathy, context and judgment will remain human. in fact those qualities will become more importantNot less.
As technology takes over more of the “what,” advisors will increasingly differentiate on the “why” and the “now what.”
Redefining the role of advisor
What we are seeing is not a replacement of consultants, but a redefinition of their role. Advisors are moving from information providers to decision partners and from portfolio managers to life planners.
AI enables and accelerates this change. This allows you to spend less time on discovery and more time on conversation, as well as less time on administration and more time on strategy. Ultimately, AI helps you spend less time managing processes and more time building trust.
a more humane future
Most of us see technology and humanity as opposing forces. In wealth management, they are increasingly complementary.
The companies that implement AI most deliberately (not necessarily fastest) will outperform their competition. They will deploy technology to enhance rather than replace the human elements of advice. They will use it to make every conversation more informative, more timely, and more relevant.
Ultimately, trust does not increase through automation alone. It grows when you are more prepared, more present, and more empowered to focus on what matters most to your customers. AI makes it possible
forbes finance council is an invitation-only organization for executives from successful accounting, financial planning and wealth management firms. Am I eligible?