Power and Prediction: The Disruptive Economics of Artificial Intelligence

What it is about

Ajay Agrawal, Joshua Gans, and Avi Goldfarb argue that artificial intelligence lowers the cost of prediction, but prediction creates value only inside a redesigned decision system. They separate prediction from judgment, action, outcomes, data, and feedback; distinguish isolated point solutions from system-level change; and explain why organizations often see modest early gains before workflows, roles, and control points are reorganized around the new capability. I keep it on this shelf because I want to work with AI without confusing speed for understanding.

Why I keep it

Prediction got cheap; this is the clearest account of what that does to everything else.

Key ideas

Beside it on the shelf · AI & Technology