Example Concept: AI-driven forecasts rely heavily on historical data and algorithms to predict future financial trends. While this can improve accuracy, it also introduces risks such as potential biases in the data, overfitting of models to past trends, and the inability to account for unforeseen events or market shifts. It's crucial to combine AI insights with expert judgment to ensure balanced and informed financial planning.