There is an uncomfortable question advisors must ask themselves, what happens when AI helps decide whether an advisor is worth meeting? How does the value proposition of advice work in this new world?

The following commentary from Claire Verdirame (pictured below), chief marketing officer at AITi Tiedemann Global, is about the impact that AI is having on relationships between advisors and clients. What will AI mean for the value proposition of wealth management and how must firms think about this in future?

The editors are pleased to share these ideas; the usual editorial disclaimers apply to guest articles. To comment and get into the conversation, email tom.burroughes@wealthbriefing.com and amanda.cheesley@clearviewpublishing.com

Claire Verdirame

Wealth managers are asking how AI can make advisors more productive. They should be asking a more uncomfortable question:

What happens when AI helps clients decide whether an advisor is worth meeting at all?
What matters to prospective clients and the enduring value of a great advisor has not changed: expertise, human judgment, trust and credibility matter as much as ever. But as AI increasingly becomes a starting point for research and decision-making, the opportunity to earn and demonstrate that trust is being fundamentally reshaped and this has profound implications for the way that advisors compete for new business.

Before a prospective client speaks to an advisor, AI may already have provided an impression of them. It can draw on biographies, articles, interviews, professional profiles, speaking appearances and independent commentary. It may also treat the absence of meaningful evidence as a signal. 

A prospective client can ask which advisors understand families like theirs, whose expertise is credible and what distinguishes one individual from another.

The answer may be incomplete, but it could still shape the shortlist.

This moves the AI debate beyond productivity. It makes the visibility and articulation of advisor expertise a commercial issue. For wealth management firms, the challenge is no longer simply to employ exceptional advisors. It is to ensure that their expertise can be found, understood and substantiated before the first conversation takes place.

The first meeting is no longer the beginning
Historically, proximity was a powerful advantage and an advisor’s reputation travelled through clients, intermediaries and private networks. A trusted referral often determined who made the shortlist. Those referral routes will remain powerful. But prospective clients can now use AI to investigate a recommendation before acting on it, and AI is making that process more transparent and contestable, enabling prospects to compare firms, scrutinise claims and evaluate alternatives before any conversation takes place. 

A recommendation may secure consideration, but it doesn’t guarantee exclusivity
We are increasingly seeing prospective clients arriving at the first meeting with a pre-formed view of the firm, the individual and the alternatives. For example, referencing a specific article, interview or area of an advisor’s expertise that they had found through AI, from expertise in estate planning to help with defining the purpose of a family’s wealth. Content that might once have had limited visibility can now play a meaningful role in shaping first impressions and influencing how an advisor's expertise is perceived. 

The first meeting is therefore no longer the beginning of the decision. It is one stage in a process already under way, with competition increasingly occurring upstream before any advisor has the opportunity to make their case in person.

That means firms may need to redesign it
If a prospect has already reviewed the firm’s capabilities and arrived with AI-generated questions, a standard presentation will add little. The first meeting must move faster from explaining the firm to understanding the client: testing assumptions, correcting inaccuracies and showing how the firm’s expertise applies to the prospect’s particular circumstances.

The question is no longer “What do we want to tell them?” It is, “What might they already believe, and what experience will prove or disprove it?”

AI may not choose the advisor, but it will increasingly shape the expectations they must meet.

AI will expose sameness
Wealth management has a differentiation problem.

Trusted relationships, tailored solutions, holistic advice and a long-term perspective all matter. But when almost every firm makes the same claims, they cease to explain why a client should choose one over another.

AI is unforgiving of this sameness. If firms and advisors describe themselves in identical language, they risk appearing interchangeable.

The problem is particularly visible in advisor biographies. Most establish legitimacy through credentials, previous firms and years of experience. Far fewer explain which clients the advisor is particularly equipped to serve, what complexities they understand or where their authority lies. But saying you advise UHNW families and how long you have been doing it for tells AI very little. 

Explaining that you help entrepreneurial families prepare for liquidity events, design family governance frameworks, navigate cross-border wealth structures, prepare the next generation for wealth stewardship or help define the purpose of their wealth gives AI far richer signals to work with. At AlTi, the purpose of wealth is a distinctive thread that runs through many client conversations. Being explicit about the questions you help clients answer and the challenges you help them navigate creates clearer signals of expertise.

In an AI-mediated world, specificity is an advantage. The more explicit advisors are about the particular problems they solve and the clients they serve, the easier they are to discover, differentiate and recommend.

Professional discretion remains a virtue. Digital absence may not.
The answer is not louder promotion. It is greater specificity and better evidence.

Private wealth has rightly treated visibility with caution. Discretion remains fundamental. But discretion is not the same as leaving no public evidence of expertise.

Advisors do not need to become influencers or publish constantly. A small number of credible, specific and consistent signals will carry more weight than a volume of generic commentary.

Without meaningful evidence, AI may rely on outdated information, generic corporate language or third-party sources over which the advisor and firm have little control. In the past, firms could declare expertise. Increasingly, prospective clients will expect to corroborate it.

The public promise must survive human contact
Public signals may help an advisor earn consideration. They cannot win the mandate.

If a firm claims to understand family complexity, the first conversation must demonstrate that understanding. If it promises highly personal service, the interaction cannot feel formulaic. If it claims a distinctive point of view, its advisors must be able to express it without retreating into generic corporate language.

The gap between what a firm says publicly and what a prospect experiences privately will become harder to hide.

This is where marketing and the advisor experience become inseparable. Marketing cannot manufacture a proposition that advisors do not embody. Equally, exceptional advisors cannot assume that their expertise will be recognised if the firm fails to make it visible.

Reputation earns attention. The human experience must justify it.
What should advisors do now?

Advisors do not need to become public personalities. But they should work with their firms to ensure that their expertise is clear, credible and discoverable.
1. Define what you want to be known for
Identify two or three areas of genuine authority. Specificity makes expertise easier to recognise.

2. Audit your digital evidence 
Ask yourself whether the available evidence substantiates what you say you are good at and whether AI can clearly identify that expertise. Using a public AI tool in an anonymous session, assess your digital footprint as a prospective client would. Ask what you are known for, which client challenges you are best placed to solve and what sets you apart from competing advisors. At AlTi, we are already encouraging our advisors to do this, asking AI what they are known for and comparing the response with the expertise they actually want to be known for. Any disconnect between the response and your intended positioning signals an opportunity to strengthen your digital evidence. 

3. Fix the generic biography
Your bio should answer the question a prospective client is actually asking: “why this person for my problem?”

4. Create evidence, not content
The answer is not simply to post on LinkedIn more frequently. It is to build credible evidence to support the expertise you want to own. That could mean contributing to an article, participating in relevant research or speaking at an event.

Does the available evidence reinforce the recommendation or undermine it? 
That is the commercial test.

AI may influence the shortlist. Humans will still win the mandate. 
Efficiency is not the whole AI revolution.

AI is changing what prospective clients discover, how they compare firms and what they expect before the first conversation.

Advisor visibility is therefore more than a profile-building exercise. It is part of how reputation is built, expertise is validated and new relationships begin.

The firms that succeed will make their advisors’ excellence visible without compromising discretion, distinctive without resorting to self-promotion, and credible through evidence rather than assertion.

Their public signals will earn consideration. Their advisors will convert that opportunity into trust.

AI may help decide who enters the room. What happens inside it will still determine who wins.