Are AI-powered client acquisition tools really the silver bullet for attracting ultra-wealthy clients? Some advisors to the ultra-rich are saying, "Not so fast!" Despite the hype, many elite advisory firms remain unconvinced that AI is a game-changer when it comes to landing new clients. It's a bold claim, considering the buzz around AI, but let's explore why these experts are hesitant to jump on the AI bandwagon.
Market data firms have been heavily promoting artificial intelligence as the ultimate solution for identifying and connecting with those elusive ultra-high-net-worth individuals. They promise to unlock a treasure trove of data and contact information, leading to a surge in new, lucrative clients. But here's where it gets controversial... leaders at top-tier advisory firms are pushing back, suggesting that AI's role may be overstated.
Why the skepticism? Well, according to these experts, simply having access to data and contact details is only half the battle. Matthew Fleissig, CEO and co-founder of Pathstone, a registered investor advisory managing a staggering $182 billion in client assets, puts it bluntly: "When we're looking for clients with north of $100 million, I struggle to think they're going to take a cold email and say, 'Yes, here's my balance sheet.'" He raises a valid point – high-net-worth individuals are often inundated with solicitations, making them less likely to respond to generic outreach.
So, if not AI, then what works? Fleissig emphasizes the power of personal connection and exceptional service. He recounts an instance where Pathstone secured a private jet in under an hour for a client who urgently needed to travel from New Orleans to Albany, New York, to be with their dying mother. "Those types of things are how we are able to grow the business," he explains. "We create moments that matter." These "moments that matter" build trust and loyalty in a way that a cold email simply can't.
Fleissig argues that AI for client prospecting hasn't lived up to the hype peddled by startups. "These databases have been around forever, and now people have added an AI overlay to be able to mine the database," he says. "Most of the time, it's very similar strategies of aggregating data sources that are public or you can pay for, and trying to feed you lists of people. We, at this point, can do that ourselves." In other words, the underlying data isn't new, and the AI layer might not offer a significant advantage over existing methods.
And this is the part most people miss... A growth executive at a high-end national RIA, speaking anonymously, revealed that they had participated in at least 20 demos of AI client prospecting tools in the past six months. Their assessment? Most are built on widely available large language models (LLMs) like Claude and GPT. "You're slapping a coat of paint on one of five major LLMs and selling through the fact that 'Oh our info is better,'" the executive said. The executive then poses a crucial question: "Do I pay them $100,000 or do I talk to my IT team and figure out a way of doing it for cents on the dollar?"
Andrew Douglass, head of growth at AlTi Tiedemann Global, echoes this sentiment, noting that there is little competitive advantage to using nonexclusive data. He recalls that when the independent wealth management firm used to cold call clients from these types of databases, the client usually already had an advisor or had been contacted by dozens of other firms already. It's a reminder that ultra-wealthy individuals are a highly sought-after demographic, making it challenging to stand out from the crowd.
For AlTi, client referrals and personal networks have consistently been the primary drivers of organic growth, accounting for 40% and 30%, respectively, over the past five years. An additional 30% comes from networking with experts such as trusts and estates lawyers and accountants, who are often working with clients undergoing significant life events, such as inheriting a fortune or selling a business. These professionals can provide valuable introductions and referrals.
"Most people go out and say, 'Our minimums are $25 million so whoever has $25 million in liquid assets makes a great client.' We don't think that that is a strategy that ultimately works," says Douglass, speaking from the Heckerling estate planning conference in Orlando, Florida. "We think really being looked at in the market as a subject matter expert, consistently showing up to places like Heckerling and where the professional community is and being able to provide value, is the most effective way to grow the business." He emphasizes the importance of building a reputation for expertise and actively engaging with the professional community.
Of course, word-of-mouth referrals aren't always scalable and can be a slow process. Douglass acknowledges that the sales cycle with an ultra-high-net-worth client can often take 12 months or longer. However, advisories focused on the ultra-rich, like AlTi Global, prioritize quality over quantity. Their annual target for organic growth is 25 to 30 new clients in the U.S., which could translate to approximately $1.5 billion to $2 billion in new assets. They are willing to invest the time and effort to cultivate relationships with the right clients.
Eden Ovadia, CEO of AI client prospecting startup Finny, admits that she is accustomed to facing skepticism. Ovadia, who co-founded Finny in late 2023, positions AI prospecting as a complement to traditional outreach, rather than a replacement. She suggests that AI can help advisors identify the right audience for exclusive events. For example, an advisor planning to invite prospects to a suite at a Miami Heat game could use Finny to pinpoint individuals who work in real estate and are passionate about the team. Finny can also be used to identify potential clients who may require advice following a significant life transition, such as those who have recently purchased a property worth at least $5 million near Jackson Hole, Wyoming.
"There's definitely a little bit of cynicism we have to get over when we talk to ultra-high-net-worth firms and they're, 'No, we don't do AI. We want everything to feel really personalized, really white glove,'" she says. "I couldn't agree more. The idea here is we actually can surface more data about your clients or your prospects than even you know." Ovadia believes that AI can enhance personalization by providing advisors with deeper insights into their clients' interests and needs.
Finny can also be used to monitor existing clients for signs of dissatisfaction, such as searching for investment advice online. This allows advisors to proactively address any concerns and maintain client loyalty.
Interestingly, Fleissig expresses greater enthusiasm for clients discovering Pathstone through AI platforms like Gemini and ChatGPT. He reports that, in the past two weeks, Pathstone has received five inbound inquiries from clients with at least $100 million in assets, all originating from AI search engines. This suggests that AI may be more effective at facilitating client discovery than direct prospecting.
Douglass emphasizes that while AI hasn't fundamentally changed AlTi Global's approach to new business development, he remains open to exploring its potential. "If someone has a better mousetrap, we're certainly excited about what the market's going to look like and bring to bear," he concludes. The wealth management industry is constantly evolving, and advisors must be willing to adapt to new technologies and strategies.
So, what do you think? Is AI truly a game-changer for attracting ultra-wealthy clients, or is it just another overhyped technology? Do you agree with the advisors who prioritize personal connections and exceptional service, or do you believe that AI can offer a competitive edge? Share your thoughts and experiences in the comments below!
