Autopilot in a Storm: The Hidden Fragility of Robo-Advisor Algorithms When Markets Shift
Robo-advisors promise disciplined, emotion-free investing — but their reliance on historical data correlations creates a dangerous blind spot when market regimes change. From the COVID crash of 2020 to the bond-equity collapse of 2022, automated rebalancing systems have repeatedly amplified investor losses at precisely the wrong moments. Understanding where these algorithms fail is the first step toward using them more intelligently.