The chapter discusses the challenges of using AI and data analysis to accurately predict stock market behavior, highlighting the limitations even with access to vast amounts of historical data and the occurrence of unexpected events. It also explores the implementation of machine learning in trading, the challenge of explainability, and the debate surrounding the reliance on AI models.