What Wealth Management Firms Should Automate First

Wealth management has more AI adoption than almost any relationship-driven industry right now — and more clarity than most about where that automation should and shouldn't go.

Schwab's RIA & AI Research Study, published January 2026 with 533 firms surveyed, found 63% of RIAs now use AI tools, more than double the adoption rate from 2023. At Morgan Stanley, 98% of advisors use AI tools in some form (Schwab, January 2026, via X1 Wealth). But adoption isn't the same as strategy: Schwab found only about one in ten firms have integrated AI into a formal business strategy, and 82% of advisors are experimenting with generative AI individually rather than through firm-wide systems. That's beginning to change — Advisor360's January 2026 survey of 300 firms found 82% now have formal GenAI policies, up from 47% in 2024.

So where is all that AI actually going? Not where you'd guess.

The problem it's solving: advisors don't have a client-time problem, they have a capacity problem

There's a persistent myth in this industry that advisors should be spending 80% of their time in client meetings. Michael Kitces has been directly and publicly against this framing, calling it "a dystopia" rather than a goal — that would mean six-plus hours of client contact every single day. His research on advisor time-use found that reasonably successful advisors currently spend 20–25% of their time in client meetings, and the most successful spend around a third. Closing that gap wouldn't 4x anyone's client contact — it would add roughly 2 to 4 additional meetings a week, or 100–200 more client touchpoints across a full year (Kitces, reported via *Financial Advisor* magazine). Kitces also points to Dunbar's number — the cognitive ceiling of roughly 150 stable relationships a person can maintain — as the reason most advisors cap out managing 60 to 80 client relationships before quality erodes.

The real lever isn't forcing more hours into client meetings. It's removing the hours currently lost to everything that isn't a client meeting.

Where advisors are actually pointing AI — and it's exactly what you'd expect from that framing

Advisor360's survey asked 300 firms what tasks they're automating with AI right now. The list is almost entirely administrative:

Meeting summaries and notes lead at 31%, followed by CRM updates at 28%, client meeting prep at 26%, and routine communications at 25%. AI notetakers specifically show up at 18% (Advisor360, January 2026, via X1 Wealth). This is the automate-the-work-around-the-relationship pattern, and the payoff is measurable: KPMG's research found AI meeting notetakers save advisors up to an hour a day, and one major investment manager cut meeting-prep time by 50%, saving 20,000 hours annually firm-wide. Tax analysis that used to take an hour is now taking about three minutes at some firms (KPMG; *Financial Planning*, 2025, via X1 Wealth).

That reclaimed time isn't going nowhere. KPMG's research on agentic AI in wealth management found the capacity it frees up is enough for each advisor to take on 50 to 60 more meaningful client relationships — the opposite of the "AI replaces advisors" narrative, and a direct answer to Kitces's capacity ceiling.

What advisors are deliberately not automating

Here's the number that matters most in the whole survey: of everything advisors are handing to AI, generating actual client recommendations sits at just 3% (Advisor360, January 2026). That's not a gap in the technology. It's a deliberate line, and it matches what clients themselves say they want. Northwestern Mutual's 2025 Planning & Progress Study — a Harris Poll survey of 4,626 Americans — found only 13–15% trust AI over a human for tasks like retirement planning, portfolio management, or building a tailored financial plan; 53–56% trust a human. Bread Financial's 2025 research found 65% of people want a human involved in managing their money, and most wouldn't switch to AI-only advice even for a guaranteed higher return.

Clients do want their advisor using AI, just not as a replacement for judgment. Northwestern Mutual found 47% of Americans would prefer an advisor who understands and uses AI well — 54% among Gen Z and millennials — and J.D. Power's 2025 research found investors using firm-provided AI virtual assistants score 72 points higher on satisfaction, on a 1,000-point scale, than those who don't.

The automate-first list for a wealth management firm

Based on where the data — and the client trust research — actually points: meeting notes and summaries, CRM and pipeline updates, meeting prep and pre-call research, routine client communications and follow-up sequences, and document and compliance workflows in the back office. Leave the recommendation, the plan, and the actual conversation with the client exactly where they are. That's not a technology limitation. It's where the trust — and per MIT's broader research on enterprise AI, the ROI — actually lives.

Sources

• Charles Schwab, RIA & AI Research Study, n=533 firms, January 2026 (cited via X1 Wealth)
• Advisor360, GenAI adoption survey, n=300 advisory firms, January 2026 (cited via X1 Wealth)
• KPMG, agentic AI in wealth management research (cited via X1 Wealth)
• Michael Kitces, advisor time-use research, reported by *Financial Advisor* magazine
• Northwestern Mutual, 2025 Planning & Progress Study, conducted by The Harris Poll, n=4,626, January 2025
• Bread Financial, 2025 consumer research on AI and money management (cited via X1 Wealth)
• J.D. Power, 2025 investor satisfaction research (cited via X1 Wealth)