Power And Prediction: The Disruptive Economics of Artificial Intelligence
Ajay Agrawal
4.21 average rating, · 7.4k ratings
Forecasting and Prediction Markets
A practical reading path through probabilistic thinking, superforecasting, markets, crowds, incentives, scenario planning, calibration, and better institutional prediction.
Organizations spend fortunes on strategy while rarely measuring whether their predictions were any good. This Topreads collection brings together 40 books for executives, investors, policy makers, strategists, researchers, and decision professionals. Its purpose is to turn a strange, fast-moving subject into a structured reading path rather than another shallow list of fashionable titles.
A practical reading path through probabilistic thinking, superforecasting, markets, crowds, incentives, scenario planning, calibration, and better institutional prediction. The list combines foundational explanations, historical parallels, operating knowledge, ethical disagreement, and selected fiction or speculative work where imagination is necessary to see consequences before they become ordinary. Each book is ranked to help readers begin with the strongest combination of relevance, credibility, and usefulness.
This page is designed as a living editorial resource. The current memberships were selected from Topreads’ verified catalogue of 163,349 books using metadata signals and related curated lists, then held as a draft for human review. Before publication, an editor must verify every title, remove weak or accidental matches, defend the top ten, and add book-specific annotations.
Ranked 1–24 of 40 — curated order, not the site-wide popularity formula.
Ajay Agrawal
4.21 average rating, · 7.4k ratings
How societies preserve truth, legitimacy, accountability, evidence, and collective action when media, identity, and decisions become synthetic. The subject matters now because developments that appear separate—technology, infrastructure, climate, biology, finance, law, and human behavior—are increasingly interacting as one system. Readers who understand only the headline technology can miss the constraints, institutions, incentives, and second-order effects that determine who benefits and who bears the risk.
This list is therefore not a prediction that every scenario will occur. It is an intellectual preparedness tool. It helps readers identify durable questions, recognize repeated historical patterns, evaluate competing claims, and build a vocabulary for decisions that may arrive sooner than conventional curricula expect.
The concept and editorial promise were designed first. Candidate books were then scored from Topreads’ verified 163,349-book catalogue using title and genre relevance, related curated-list membership, rating and readership confidence, exact-title duplicate suppression, controlled fiction representation, and author-diversity limits. Metadata scoring is a discovery aid, not a substitute for reading or expert judgment.
Philip E. Tetlock
4.08 average rating, · 22.8k ratings
Nassim Nicholas Taleb
4.08 average rating, · 72.8k ratings
Edward O. Thorp
4.24 average rating, · 8.1k ratings
Eric D. Beinhocker
4.27 average rating, · 1.8k ratings
Binyamin Appelbaum
4.10 average rating, · 1.7k ratings
Alex Nekritin
4.11 average rating, · 608 ratings
Thomas Philippon
4.17 average rating, · 719 ratings
Andrew W. Lo
4.05 average rating, · 1.6k ratings
Daniel Crosby
4.03 average rating, · 796 ratings
Lawrence G. McDonald
4.21 average rating, · 583 ratings
William Green
4.51 average rating, · 7.9k ratings
Melanie Mitchell
4.33 average rating, · 4.2k ratings
Todd Rose
4.03 average rating, · 1.1k ratings
Rolf Schlotmann
4.18 average rating, · 1.2k ratings
This page begins as a machine-assisted draft. Topreads does not claim that every selected book has been read by the editor or that the initial ranking is definitive. Before the page becomes indexable, a human must verify topical relevance, remove accidental editions or shallow matches, review the top ten, check controversial claims, and replace generic featured-book notes with book-specific editorial reasoning.
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