Ajay Agrawal, Joshua Gans, Avi Goldfarb Books
Ajay Agrawal, Joshua Gans, and Avi Goldfarb are professors at the Rotman School of Management, University of Toronto. They are leading researchers in innovation, economics, and technology policy, known for their work on the economic implications of artificial intelligence.
Known for: Power and Prediction: The Disruptive Economics of Artificial Intelligence, Prediction Machines: The Simple Economics of Artificial Intelligence
Books by Ajay Agrawal, Joshua Gans, Avi Goldfarb
Power and Prediction: The Disruptive Economics of Artificial Intelligence
This book explores how artificial intelligence is transforming the economy by changing the cost of prediction. The authors, leading economists and AI experts, explain how AI shifts decision-making pro...
Prediction Machines: The Simple Economics of Artificial Intelligence
This book explains how artificial intelligence, particularly machine learning, changes the economics of prediction. It explores how cheaper and more accurate predictions transform business models, dec...
Key Insights from Ajay Agrawal, Joshua Gans, Avi Goldfarb
Defining Prediction
Let us begin with the essence of prediction itself. Economically, prediction is the act of using existing information to infer information we do not yet have. When you interpret a patient’s symptoms to anticipate a diagnosis or analyze market signals to forecast demand, you are performing prediction...
From Power and Prediction: The Disruptive Economics of Artificial Intelligence
The Economics of Prediction
Economics always begins with costs. When something becomes cheaper, we use more of it. This principle applies perfectly to prediction. The decline in the cost of prediction is analogous to the fall in the cost of computation during earlier technological waves. When prediction gets cheaper, decision-...
From Power and Prediction: The Disruptive Economics of Artificial Intelligence
Defining Prediction
Prediction, in economic terms, isn’t just about guessing the future—it’s about using information you have to fill in information you don’t. When you forecast customer demand, estimate delivery times, or assess credit risk, you’re predicting. Prediction is a function that transforms uncertainty into ...
From Prediction Machines: The Simple Economics of Artificial Intelligence
The Economics of Prediction
In economics, whenever the cost of a key input declines, ripple effects follow. When computing power became cheap, data processing exploded. When communication costs dropped, global supply chains thrived. The same logic applies to prediction. AI reduces the cost of prediction dramatically. Tasks tha...
From Prediction Machines: The Simple Economics of Artificial Intelligence
About Ajay Agrawal, Joshua Gans, Avi Goldfarb
Ajay Agrawal, Joshua Gans, and Avi Goldfarb are professors at the Rotman School of Management, University of Toronto. They are leading researchers in innovation, economics, and technology policy, known for their work on the economic implications of artificial intelligence.
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Ajay Agrawal, Joshua Gans, and Avi Goldfarb are professors at the Rotman School of Management, University of Toronto. They are leading researchers in innovation, economics, and technology policy, known for their work on the economic implications of artificial intelligence.
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