By Matthias Kuhlmey, Lecturer in the M.P.S. in Wealth Management Program, School of Professional Studies
Class is back in session. In Econ 101, we learn that every model is only as good as its determined reliable inputs. And yet, the wealth management industry’s model predicting a full-blown succession crisis for financial advisors was built on assumptions that are vastly falling apart. Not because retirement is no longer “a thing,” but because the industry forgot to critically challenge what other inputs may be changing.
The studies behind our headline crisis all share a similar approach: Take the current advisor population, “age it forward,” calculate the replacement rate, and panic at what is left once advisors retire. On the surface, it may seem somewhat alarming, but one layer down it treats the future as a straight-line extension of the past. This is exactly the problem: The fact is that despite underpinning an all-too-comfortable industry narrative, none of these models were built to account for forces reshaping the equation in real time.
First, no one is really retiring on schedule. The average age of retail financial advisors has been holding steady over the past decade. Surprisingly, this means the profession’s demographics have barely aged, defying industry expectations of a massive generational shift. Further, we have not even accounted for the fact that, in general, the retirement age keeps drifting up. Accomplished professionals are staying productive longer, staying engaged longer, and in many cases staying because the business is more rewarding to run today than it was to build. In short, many advisors that should be out have decided to collect their dividends.
Second, the predominant projections do not give any real weight to what technology, in particular AI, is creating in terms of scale benefits. If, as forecasted, a meaningful share of the operational, process-heavy work of advice can be handled with machine depth plus human oversight rather than through headcount allocation, then the entire premise of “we need x to cover y” will become a thing of the past. This is no “new news”: In other industries technology did not just replace labor, it changed how labor is valued overall and what new skills would be required. Yet somehow, we keep forecasting as if none of that applies to us.
And third, what nobody seems to be modeling at all, is where the next generation of advisors is going to come from. The undisputed assumption baked into every succession study is that new advisors will come from a traditional pipeline and therefore will be “obvious” for modeling purposes. But as AI absorbs more process-driven work, the differentiating expertise in our business is no longer technical in nature but focused on our unique human skills. It means the next wave of great advisors may not come from finance but from careers focused on how to listen, set context, and guide through complex change.
Relatedly, we need to acknowledge that a young generation of wealth, particularly digital natives who are comfortable with DIY engagement and episodic advice models, are consuming “advice” on their terms and at their fingertips. A recent study shows that one-third of Americans have used social media for financial advice, making it the third‑most common source after friends and family and professional advisors. With this data in mind, the incoming talent pool is wider than the industry has ever bothered to recruit from, with a rise of social “finfluencers” already stepping into the role of traditional financial advisors.
All forces considered, the widely accepted succession math does not just soften, it may invert. Fewer advisors than assumed are leaving, remaining advisors will be aided by AI, and the talent pool is expanding.
None of this is an argument for a “crisis-avoided status.” We have real work to do building toward a new understanding and definition of our resourcing needs. Soon it may ring true that students in humanities can become meaningful advisors rather than being screened out at the resume stage. Until then, we do not need to panic our way into more “bodies” but instead broaden our idea of where the right talent is coming from.
Views and opinions expressed here are those of the author and do not necessarily reflect the official position of Columbia School of Professional Studies or Columbia University.
About the Program
Columbia University’s Master of Professional Studies in Wealth Management program is a 16-month online program with asynchronous instruction specially designed to accommodate working professionals. It is taught by distinguished faculty with deep applied experience in their respective fields. Additionally, it is a CFP Board Registered Program designed to help students meet the educational requirement for CFP® certification.
Learn more about the program here.
