I'm reading chapter 3 of my book "Think Causal, Not Casual" called "The Need".

The chapter discusses the application of modern "Causal AI" in identifying the effectiveness of marketing strategies. Using techniques like Automated Relevance Detection (ARD) and Double Machine Learning (DML), the analysis uncovered unexpected non-linear relationships, such as the inverted U-function, demonstrating the complexity and hidden interactions within real-world data that Causal AI can reveal.