Power and Prediction: The Disruptive Economics of Artificial Intelligence offers a rigorous yet accessible exploration of how AI reshapes economic systems and business strategies. Drawing on decades of research from leading economists, this volume dissects the fundamental shift that occurs when prediction becomes cheap and abundant. The authors present a clear framework—the “prediction machine” concept—to explain how organizations can harness AI not just for automation, but for redefining decision-making, risk assessment, and innovation.

Instead of focusing on hype or futuristic scenarios, the book grounds every insight in real economic principles, making it a practical resource for executives, policymakers, and students of technology and economics. The text is structured to first clarify what AI prediction does best, then systematically examine its impact on labor markets, firm structure, competition, and regulation. Each chapter builds logically, using case studies from industries like retail, finance, healthcare, and transportation to illustrate the mechanics of disruption.

The writing style is direct and free of jargon, yet sufficiently nuanced for readers with a basic understanding of economics. The physical edition features a durable paperback binding with a matte finish cover, designed for frequent reference. Its compact size makes it easy to carry, while the high‑quality paper ensures comfortable reading even under desk lamps.

The authors deliberately avoid speculative timelines or exaggerated claims, instead offering a sober, evidence‑based view of the opportunities and pitfalls ahead. This approach allows readers to form their own informed opinions about AI’s trajectory.

For anyone seeking to understand the economic logic behind artificial intelligence—without the buzzwords or the doom‑and‑gloom—this book delivers a balanced, illuminating guide. Its affordable pricing further enhances its value as a staple for academic courses, professional development, or personal enrichment.