Power and Prediction: The Disruptive Economics of Artificial Intelligence (IMAGE)

University of Toronto, Rotman School of Management

Power and Prediction: The Disruptive Economics of Artificial Intelligence

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When electricity was introduced in the 1880s, not everyone immediately switched from candles to lightbulbs, but there was a rapid shift in subsequent years. The same is true for artificial intelligence, warn Ajay Agrawal, Joshua Gans, and Avi Goldfarb, economists and professors at University of Toronto's Rotman School of Management. In their bestselling book, Prediction Machines, they focused on the economic benefits of AI for cheaper, faster, better predictions. In Power and Prediction: The Disruptive Economics of Artificial Intelligence, published by Harvard Business Review Press, they turn their attention to explaining the ways this transformative technology will impact us and how to identify the threats and opportunities.

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Harvard Business Review Press

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