A user relying on generative AI for retirement planning may vastly underestimate the size of the nest egg they need. This outcome is the result of a failure by both ChatGPT and Claude to use Monte Carlo simulations to forecast the probability of retirement success. Instead, both tools used fixed perpetual positive investment returns.
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In a test conducted by GOBankingRates, ChatGPT and Claude were prompted to create a financial plan for a 40-year-old wanting to live on $100,000 a year in retirement. The results showed that ChatGPT's math was wrong. Claude performed better by factoring in Social Security, tax brackets, inflation rates, insurance costs, and health savings accounts.
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Despite these differences in the result, neither AI tool used Monte Carlo simulations to forecastes the probability of retirement success. Both tools used fixed perpetual positive returns, which leads a user to underestimate the size of the nest egg needed.
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