Prediction Machines: The Simple Economics of Artificial Intelligence
Prediction Machines: The Simple Economics of Artificial Intelligence
Nonfiction | Book | Adult | Published in 2018
Book Brief
BetaPrediction Machines: The Simple Economics of Artificial Intelligence
Nonfiction | Book | Adult | Published in 2018328
Book • Nonfiction
2010s
2018
Adult
18+ years
Super Short Summary
Prediction Machines: The Simple Economics of Artificial Intelligence by Ajay Agrawal, Joshua Gans, and Avi Goldfarb explores the economic impact of artificial intelligence. It emphasizes AI's role in improving prediction accuracy, affecting decision-making and business strategies. The authors discuss how AI can transform various sectors and emphasize the importance of managing uncertainty and adapting to technological advancements.
Informative
Challenging
Inspirational
Reviews & Readership
3,640 ratings
Loved it
Mixed feelings
Not a fan
Review Roundup
Agrawal, Gans, and Goldfarb's Prediction Machines offers a clear analysis of AI's economic impact, blending theory with practical insights. Praised for accessibility, it is noted some areas oversimplify complex AI effects. Ideal for those new to AI economics but may leave experts desiring deeper exploration.
Who Should Read Prediction Machines: The Simple Economics of Artificial Intelligence?
A reader interested in Prediction Machines likely enjoys exploring AI's economic impact, appreciating works like Harari's 21 Lessons for the 21st Century. They value understanding technology's role in decision-making and seek insights into how AI reshapes business and society.
3,640 ratings
Loved it
Mixed feelings
Not a fan
328
Book • Nonfiction
2010s
2018
Adult
18+ years
We’re just getting started
Add this title to our list of requested Study Guides!