Power and Prediction: The Disruptive Economics of Artificial Intelligence

Power and Prediction: The Disruptive Economics of Artificial Intelligence by Ajay Agrawal, Joshua Gans, and Avi Goldfarb — the internationally acclaimed team behind Prediction Machines — is a profoundly important follow-up that moves beyond identifying AI's potential to examining who actually benefits from it, who loses, and why the disruption is deeper and more complex than most organisations have yet grasped.

The authors introduce a fundamental insight: AI is a technology that dramatically reduces the cost of prediction. But cheap prediction is not just a productivity gain — it shifts power across value chains, rewrites industry structures, and creates entirely new winners and losers. Some incumbents who appear to benefit from AI adoption will ultimately be disrupted by it; some who seem threatened will find new and durable advantages. Understanding which is which requires a new framework — and this book provides it.

Drawing on economics, strategy theory, and cutting-edge AI research, Agrawal, Gans, and Goldfarb show how to identify the points in any industry where AI shifts decision rights, reallocates economic value, and creates opportunities for new entrants. Rigorous, accessible, and genuinely ahead of its time, Power and Prediction is essential reading for executives, policy-makers, investors, and technologists navigating the AI transition with clarity rather than hype.

Product Details

Author: Ajay Agrawal, Joshua Gans & Avi Goldfarb
Format: Paperback
Language: English
Publisher: Harvard Business Review Press
Dimensions: Approx. 23 × 15 × 2 cm
Weight: Approx. 0.35 kg
Delivery Time: 3–5 Business Days