Prediction Machines: The Simple Economics of Artificial Intelligence
by Joshua Gans, Ajay Agrawal, Avi Goldfarb
In Prediction Machines, Joshua Gans, Ajay Agrawal, and Avi Goldfarb reveal the economic essence of artificial intelligence. By framing AI as a prediction technology, they explain how it lowers costs and transforms business decisions. This accessible guide helps readers understand AI's practical impact on strategy and innovation across sectors.
About This Book
Prediction Machines explores the simple economics behind artificial intelligence, focusing on how AI functions primarily as a tool for making better predictions.
Authors Joshua Gans, Ajay Agrawal, and Avi Goldfarb present AI not as a mysterious technology but as an economic input that reduces the cost of prediction.
The book discusses implications for decision-making in various industries, emphasizing AI's role in enhancing efficiency and strategic planning.
Through economic principles, it illustrates how organizations can integrate AI to gain competitive advantages without needing deep technical expertise.
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