Research from MIT Sloan highlights that AI financial advice can be surprisingly effective when users ask the right questions.

Large language models (LLMs) encourage smart financial behaviors, such as saving during working years and investing in diversified stock funds. However, they struggle with subtle aspects like adjusting to shocks or actively rebalancing portfolios. The study found that AI's advice led to sizable saving buffers for those over 30, but improvement in advice quality required more structured prompts. Despite these improvements, AI often generated insufficient active portfolio rebalancing.

Source: mitsloan.mit.edu