What happens when the client walks into the meeting having already asked AI what the private banker is about to tell them?

It is becoming harder to argue that the private banker’s value lies simply in having better access to information. Clients can now use AI to analyse their portfolios, compare funds, interrogate investment ideas, assess concentration risks and generate questions they may never have thought to ask themselves.

And they are getting better at it.

A client can take a portfolio, feed it into an AI tool and ask where they are overexposed, what they are missing, why they are paying a particular fee, how one fund compares with three alternatives, or what happens to the portfolio if rates stay higher for longer.

So what happens when they bring those answers into the meeting?

The uncomfortable question for wealth managers is whether the industry has spent too much time positioning the private banker as the source of answers, at precisely the moment when answers are becoming abundant.

If AI can explain an investment in seconds, the banker’s role in simply explaining the product becomes less valuable. If AI can identify portfolio concentration or flag an obvious gap, pointing it out is no longer enough.

The shift is already visible in client attitudes. Last week, HSBC Private Bank found in a survey of more than 3,000 high net worth and ultra-high net worth entrepreneurs and founders worldwide that 84% of entrepreneurs trust AI to help them manage their investments. They show even greater trust in using it for business (90%) and their personal lives (91%).

So, here is the flip side.

AI can analyse a portfolio, but it cannot necessarily understand the person behind it. It may identify an exposure without knowing why the client is comfortable holding it. 

It may suggest a more efficient allocation without understanding the family dynamics, succession plans or emotional attachment behind an investment. It can model the impact of a drawdown, but it cannot necessarily know whether the client is actually prepared to live through one.

That is where judgement and the human relationship still matter.

But even that advantage cannot be taken for granted. The private banker increasingly needs to be able to engage with the same information and tools the client is using, and be confident enough to challenge an AI-generated answer when it misses something.

Clients are unlikely to stop using AI. In fact, the more sophisticated client may increasingly use it as a second opinion, a research assistant or even a way of testing the advice they receive.

And that is a much higher bar for the private banker.

So what will the future private banker look like, and are banks already training their RMs to have an AI-driven conversation with increasingly informed clients?