AI Vs. Advisors: The Retirement Test
We’ve looked at AI from several angles: the tasks advisors trust it with, where consumers have lost money relying on it, why many advisors believe it will redefine — not replace — their role, and most recently, why Americans still prefer human guidance when it comes to their finances. This week offers another example of where that human element can matter most: when AI provides an answer but doesn’t know which questions to ask first. A recent experiment put that to the test. Researchers asked ChatGPT how a 35-year-old earning $70,000 could retire at 55 while already maxing out a 401(k). It produced what looked like a reasonable roadmap: save aggressively, invest for long-term growth, build a $2 million to $3 million portfolio and follow the 4% withdrawal rule. But when a financial advisor reviewed the plan, the gaps became apparent. The Advisor Edge One of the biggest down...
We’ve looked at AI from several angles: the tasks advisors trust it with, where consumers have lost money relying on it, why many advisors believe it will redefine — not replace — their role, and most recently, why Americans still prefer human guidance when it comes to their finances. This week offers another example of where that human element can matter most: when AI provides an answer but doesn’t know which questions to ask first. A recent experiment put that to the test. Researchers asked ChatGPT how a 35-year-old earning $70,000 could retire at 55 while already maxing out a 401(k).
It produced what looked like a reasonable roadmap: save aggressively, invest for long-term growth, build a $2 million to $3 million portfolio and follow the 4% withdrawal rule. But when a financial advisor reviewed the plan, the gaps became apparent. The Advisor Edge One of the biggest downfalls of AI is that it didn’t stop to ask several important questions such as: where the client’s income was coming from, whether the savings rate was sustainable, what their risk tolerance was, or what retirement would actually look like.
It also underestimated healthcare costs, didn’t adequately account for inflation or sequence-of-returns risk, and applied a withdrawal rule designed around a roughly 30-year retirement to someone potentially facing 40 years or more. That’s an important distinction as younger clients increasingly turn to AI for financial guidance. ” before ever bringing that question to an advisor. The opportunity for advisors isn’t necessarily to compete with AI’s ability to produce answers.
It’s to demonstrate the value of asking the questions AI may overlook. Where is the client’s income really coming from? What happens if it changes? How much will healthcare cost before Medicare?
How would they react to a major market decline just before retirement? What tax, insurance, estate-planning or family considerations could change the strategy? Those questions turn a generic projection into an actual financial plan. And that’s where the advisor’s value becomes even clearer.
As AI makes financial information easier to access, clients may increasingly arrive with a plan already in hand. The advisor’s role shifts toward stress-testing that plan, identifying the blind spots, and adapting it to the realities of the client’s life. AI can generate the roadmap. Advisors provide the direction.
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