06/06/2026
An 8.5 percentage point performance gap is not a math problem. It is a psychology problem.
One recent analysis cited DALBAR’s 2025 study: the average U.S. equity investor earned 16.54% in 2024 versus the S&P 500’s 25.02%, largely driven by mistimed exits and re-entries. Vanguard has also estimated automated tax-loss harvesting can add roughly 0.47% to 1.27% in after-tax returns annually.
That combination explains why AI advice feels irresistible. It promises fewer human errors, lower fees, and steady portfolio hygiene.
As a wealth psychologist and wealth ethicist, I am watching a different risk: when families outsource uncertainty tolerance to a system, they may lose the very capacities that protect legacy, namely emotional regulation, shared meaning, and accountability for values.
From Okinawa, I work with U.S. military and expat families who live with high-stakes uncertainty as a baseline. The best financial decisions I see are not the ones with the most data. They are the ones with the clearest agreements about what the money is for.
Practical guardrail: use AI for discipline and tax efficiency, but keep a human forum for conflict, fear, and the ethics of tradeoffs.
For wealth managers and UHNW families, what is your policy for deciding which decisions can be automated, and which must remain relational?
I advise ultra-high-net-worth leaders, families, and advisors on the psychology of wealth, power, and legacy — UHNW reps, DM me if you'd like to explore working together.