What is the best intro book to AI for product managers?

For a Product Manager looking to bridge the gap between business strategy and engineering, I recommend starting with one of these three targeted resources:

• Prediction Machines by Agrawal, Gans, and Goldfarb: This is the definitive book for high-level strategy. It frames AI simply as a "drop in the cost of prediction," giving you a clear mental model for where AI creates economic value and where human judgment remains essential.
• Machine Learning for Business by Doug Hudgeon: Best for PMs who need to get "closer to the metal." It uses case studies and practical workflows to explain how models are built and tested, helping you communicate more effectively with data scientists about precision, recall, and data quality.
• The AI-First Company by Ash Fontana: Ideal for product leaders focused on competitive advantage. It explains how to build a "data flywheel" and structure your product so it becomes smarter and more defensive over time.

If you want a quick primer on the terminology alone, AI for People and Business by Alex Castrounis is a solid, jargon-free alternative for a weekend read.

Are you looking to build a new AI-native product from scratch, or are you trying to integrate AI features into an existing legacy platform?