Clients come to us at moments that are rarely just about numbers.
I’ll be honest about something that’s been on my mind lately and it is something that worries me.
Not about AI itself — it’s a genuinely useful tool, and I use it more each month than I did the month before. What worries me is what happens to our profession if advisers let the tool quietly become the job.
The AI rabbit hole is real
AI is extraordinarily good at the things that used to eat up an adviser’s day. Drafting suitability reports. Summarising legislation across jurisdictions. Building cash flow models. Researching how, say, a UK pension withdrawal is taxed for a client who’s relocated to Prague or Bucharest. A task that once took an afternoon can now take twenty minutes.
That’s a genuine gift — but it’s also a trap, and I think it’s worth naming honestly. Once you discover how much time AI can save on the technical, research-heavy side of the job, it’s tempting to keep feeding it more. Bigger questions and deeper rabbit holes. And every hour spent going deeper into a model’s output is an hour not spent on the phone with a client, not in a meeting room hearing what’s actually keeping someone up at night about their retirement.
I’ve watched myself do this. I’ll start refining a piece of technical analysis “just a bit more,” and look up to realise I’ve spent two hours chasing precision on a point that, while interesting, was never going to change the advice I’d give. The client didn’t need that. They needed me to call them back.
AI, used well, means an adviser can spend less time on research, and more time thinking about what that research actually means for this client.
What clients are actually paying for
Here’s what I keep coming back to: nobody hires a financial adviser purely for technical accuracy. If that were the whole job, a good chatbot would already have replaced most of us.
Clients come to us at moments that are rarely just about numbers. Selling a business, losing a spouse, deciding whether to finally retire, or move abroad, or help a child buy a house. They want someone who understands their situation, remembers what they said last time, and will tell them something they might not want to hear — with judgement, not just data.
That’s not a nostalgic view of advice; it’s borne out by how people actually behave. Clients rarely leave an adviser because the modelling wasn’t sophisticated enough. They leave when they feel unheard, rushed, or like a case number. The technical work is the entry ticket. The relationship is the reason they stay — often for decades, and often across their children’s finances too.
AI can’t replicate that, it doesn’t know that a client goes quiet when you mention their late husband’s pension, or that another one needs three conversations before they’ll admit they’re scared of running out of money. Those are the things that make advice advice, rather than a report.
So where does that leave AI in our job?
Not on the sidelines — that ship has sailed, and rightly so. Clients should understand, and I think most already sense, that AI is now genuinely part of how a competent adviser works. Used well, it means:
- Less time on research, more time thinking about what that research actually means for this client
- Fewer errors in cross-border technical work, where the rules are genuinely intricate and getting them wrong has real consequences
- Faster turnaround on the paperwork side of the job, so meetings can focus on the person rather than the process
Clients shouldn’t be uneasy about an adviser using AI. They should be more uneasy about one who doesn’t — in the same way nobody wants an accountant who insists on doing everything by hand out of principle. The tool isn’t the concern. What the tool is for is the concern.
The discipline this requires
I don’t think the answer is to resist AI, and I don’t think it’s realistic to pretend the temptation to over-rely on it isn’t there. The answer, I suspect, is discipline — and it’s on us as advisers to hold that line ourselves, not wait for clients to notice its absence.
That means being deliberate about where AI stops and judgement starts. Using it to prepare for a client conversation, never to replace one. Letting it draft the analysis, but making sure the conclusion — the bit that actually matters to the person sitting across from you — still comes from having listened properly, not just having read properly.
It also means resisting the pull toward chasing technical perfection at the expense of showing up. A slightly less exhaustively-researched answer delivered with genuine attention to a client’s actual situation will serve them better than an exhaustive one delivered by someone who’s spent all week down a research rabbit hole and hasn’t picked up the phone.
Why I think this matters now
We’re at an early enough point that habits are still forming — for advisers and for clients. What gets normalised over the next few years, in terms of how much of the relationship gets automated versus preserved, will likely set the tone for a long time after.
My honest concern is that the erosion, if it happens, won’t be dramatic. It won’t look like a firm announcing “we’re replacing advisers with AI.” It’ll look like a slow drift — slightly less time in conversation, slightly more time in front of a screen refining outputs nobody but the adviser will ever scrutinise that closely — until the personal service that used to define the relationship has quietly thinned out.
I don’t think that has to happen. But I don’t think it avoids happening by accident, either. It takes advisers actively deciding, conversation by conversation, that the technology serves the relationship — and never the other way round.
That’s the balance I’m trying to hold. I’d rather say so plainly now than notice, in a few years, that it’s already been lost.

