Should You Trust AI With Your Money? The Pros and Cons of Algorithmic Finance

• AI already assists in many financial decisions, from portfolio rebalancing to fraud detection and budgeting.
• AI excels at repetitive, rule-driven tasks like tracking spending and spotting patterns, reducing errors and inertia.
• Trouble arises when AI moves from execution to decision-making, as it relies on past data and lacks instinct for future changes or personal shocks.
• The 'black-box problem' means many AI platforms cannot explain their decisions, making accountability difficult.
• A safer approach is limited control: let AI monitor and execute within boundaries, but retain human approval for major decisions.