The Two-Speed Wealth Management Industry
Anthropic just published a chart that should be pinned to the wall of every advisory firm in the country.
It shows two things: the share of job tasks AI can theoretically perform, and the share people are actually using it for. Business & Finance is near the top of both lists — 94% theoretical coverage, 28% observed.
That 66-point gap is the entire story of wealth management right now.
Technology, Tools, Implementation
The technology is here. AI can handle analytical work, data processing, compliance documentation, portfolio commentary, client communications — the bulk of what advisory teams spend their days on.
The tools are catching up. Every month there are better products built specifically for financial services workflows.
But implementation? That's where the gap lives. And it's massive.
Anthropic's 28% is an average. Most firms I talk to are well below 10%. Many are effectively at zero. Not because they don't believe in AI — they've been to the conferences, they've read the articles — but because they don't have the infrastructure set up to actually leverage it.
And that's the real problem. It's not that advisors are skeptical. It's that moving from "we should use AI" to "AI is wired into how we operate every day" requires rethinking workflows, data flows, and systems from the ground up. Most firms haven't done that work.
What 94% Actually Means
That 94% number sounds dramatic, but it shouldn't be surprising. Think about what advisory teams actually do all day. Model portfolios. Rebalancing. Compliance reviews. Meeting prep. Follow-up emails. Report generation. Account opening paperwork. CRM updates.
AI can do all of that. Today. Not in theory — in practice, if the infrastructure exists to support it.
What AI won't do is sit across from a client who just lost their spouse and help them make sense of their financial life. It won't read the room when a couple disagrees about retirement timing. It won't build the trust that keeps a family with your firm across generations.
That's maybe 10–15% of the work. And it's the most valuable 10–15%.
The entire point of closing the gap on the other 85% is to give advisors more time for exactly that.
Two Firms, Same Market
I see this pattern every week.
Firm A has wired AI into meeting prep, compliance notes, client communications, and portfolio commentary. Their advisors spend most of their time with clients. They're onboarding households without adding headcount.
Firm B runs on seven tabs, four logins, and a lot of copy-paste. Their advisors spend half the day on admin. Every new client means more manual work. They know AI exists. Nothing has changed in their workflow.
Both firms have access to the same technology. The difference is one built the infrastructure to use it.
Why This Compounds
This isn't a slow-adoption problem. It's a compounding problem.
An advisor who reclaims 10 hours a week from admin gets 500 hours a year back. That's time for deeper client relationships and net-new conversations. Over three years, that's 1,500 hours of compounded capacity that a manual-process firm simply doesn't have.
Scale that across a 10-advisor practice and the divergence gets uncomfortable fast.
The firms at 50% adoption are pulling away — in client experience, in advisor capacity, in growth rate — every quarter. And the firms below 10% aren't just standing still. They're falling behind relative to what clients will start expecting.
The Real Question
Anthropic's chart is interesting as research. It's more interesting as a mirror.
Not where you think your firm is. Not where your conference panel notes say it should be. Where it actually is — measured by what your team does differently today than they did two years ago.
The technology exists. The tools are getting there. The only question left is implementation. And the firms that figure that out in the next 18 months will have built operational habits and client expectations that are very hard to reverse-engineer.
Technology advantages are temporary. Operational advantages compound.
Sources
- Anthropic — The Market Impact of AI: Labor Market Effects Without Labor Market Disruptions (2026)