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AI is changing what clients need from their advisor. Sal Capizzi argues the next stage of the profession is the Epistemic Advisor: someone who judges AI-generated advice rather than replacing it. His research also flags a bigger risk than long-term care — clients outliving their retirement plans. A $1 million portfolio needs closer to a 6% net return to survive 50 years of withdrawals.
What You Need to Know
Sal Capizzi wrote two pieces for WealthManagement's 2026 Midyear Outlook — one on AI's effect on advisor value, one on longevity risk breaking retirement math.
Clients can now get detailed answers on things like Roth conversions and charitable trusts from AI in seconds, so Capizzi argues advisor value is shifting from information access to judgment.
He calls this next stage the Epistemic Advisor: someone who evaluates whether AI-generated advice fits the client's actual situation, not someone who simply supplies the answer.
On the retirement side, a $1 million portfolio earning a 4% net return runs out by year 34, and clearing 50 years of withdrawals takes closer to a 6% net return.
Medical advances make living to 120 or 130 plausible, and most plans built around a 20-to-25-year retirement horizon aren't ready for it.
Our EVP and CSMO - Salvatore M. Capizzi, CEPA, CBDA - wrote two pieces for WealthManagement's 2026 Midyear Outlook.
One looks at how longer lifespans could shatter the math behind traditional retirement planning and leave households unprepared.
And the other argues the job of being an advisor is about to look different - starting with the rise of the 'Epistemic Advisor.'
You can read both in full on WealthManagement1 (pages 70 + 71). But here's the short version of each, and what they mean for your practice.
The Epistemic Advisor
For decades, advisors' value came partly from access to knowledge, tax code, estate planning techniques, retirement strategies - essentially things clients couldn't easily (nor cared to) look up on their own.
But that's changing fast.
A client can now ask an AI platform about Roth conversions or charitable trusts and get a detailed answer in seconds.
Sal doesn't see that as a threat – but a change in what an advisor actually is.
He calls the next stage of the profession the Epistemic Advisor - someone who evaluates the quality of information before a client acts on it, rather than someone who simply hands over answers.
This will become increasingly important because AI is good at gathering information but relatively bad at reading the person in front of it.
AI might recommend delaying Social Security to age 70. Yet judgment recognizes the client with a serious health concern who values income now over a bigger benefit later.
AI might suggest a sophisticated gifting strategy. Yet judgment accounts for the family dynamics and state-specific issues that never made it into the prompt.
As Sal put it, AI "cannot fully understand the human context surrounding a financial decision."
So, what’s his advice to advisors? Don't fight clients who show up with AI-generated ideas. Encourage it. Let those ideas open the conversation, then validate what's useful, correct what's incomplete, and add the context technology can't.
When Living Longer Becomes a Financial Planning Problem
The story everyone tells goes something like this. . .
Baby Boomers hold most of the country's wealth, and when that generation passes, their kids and grandkids are set to inherit it.
It’s a logical narrative, has huge numbers, and will be the biggest transfer of wealth in history (so far).
But Sal thinks there’s far more to it – and worse, that the math this is all built on doesn't hold up.
The big threat to that inheritance thesis isn't long-term care bills – but rather the fact that people may live a lot longer than the plans built for them ever anticipated.
Medical advances are moving fast enough that living to 120 or 130 isn't the fringe idea it sounds like. And if that happens, every retirement plan built around a 20 or 25-year time horizon has a problem.
For example, do the math on a couple with $1 million saved for retirement.
According to Sal’s research2 in his recent white paper, a 4% net return runs out by year 34. A 5% return fails by year 43. Thus, he argues that this puts the real number required at a 6% net return just to survive 50 years of withdrawals.
Most conservative retirement plans were never built to clear that bar.
And here's the part that should worry advisors more than the return numbers. . .
When one generation outlives its money, someone else picks up the tab.
This isn’t a hypothetical – it’s a retiree's kids covering their parents' costs, or three generations relying on one person's income, because nobody planned for a 50-year retirement.
Sal put it plainly: "That is the arithmetic of failure. And it is our responsibility to change it."
He's right. The industry built its tools for a world where retirement lasted roughly two decades. That world is already changing, and the planning math hasn't caught up.
For advisors, the fix isn't complicated to describe – it’s just harder to execute.
Stress-test every plan against a longer lifespan than the client expects.
Revisit withdrawal rates.
Push return assumptions against real inflation (not historical averages that no longer fit).
And treat every plan as something you revisit more often than not.
A plan built for 25 years of retirement won't survive 50.
Clients living longer is good news. But A plan built for 25 years of retirement won't survive 50.
What This Means for Your Practice
Clients are getting more information and living longer than the plans built for them ever assumed. Advisors who adjust their planning assumptions and lean into judgment over information access are positioned for where the profession is heading. Advisors waiting for either problem to show up in front of a client are taking on the same risk later, with less room to fix it.
P.S. - Sal is also a finalist for CMO of the Year at the 2026 Wealth Management "Wealthies." Winners are announced September 10, 2026.
FAQ
What is an Epistemic Advisor? An Epistemic Advisor is a financial advisor whose primary value comes from evaluating the quality and fit of information, not from supplying information a client couldn't otherwise find. The term comes from Dunham CSMO Sal Capizzi, who argues this is the next stage of the advisory profession as AI makes raw financial knowledge freely available.
Will AI replace financial advisors? AI can answer technical questions about Roth conversions, tax strategy, and estate planning in seconds. What AI cannot do is weigh a client's health, family dynamics, and personal circumstances against that information — which is where advisor judgment still sets the terms.
How should financial advisors respond when clients bring AI-generated ideas to a meeting? Advisors should treat AI-generated ideas as a starting point, not a threat. The advisor's role becomes validating what's useful, correcting what's incomplete, and adding the context only they have on the client's actual life. Why is living longer a bigger risk to a retirement plan than long-term care costs? Long-term care is a known, plannable expense. A longer lifespan is a compounding one — every additional year of retirement adds another year of withdrawals against a portfolio built for a 20-to-25-year horizon, which is the assumption behind most existing financial plans. What net return does a retirement portfolio need to last 50 years? Capizzi's research puts the figure at roughly 6% net return to sustain 50 years of withdrawals — well above what most conservative retirement plans are built to deliver.
Dunham — Longevity Risk Retirement Planning: The Arithmetic of Failure[dunham.com]
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