Niels Bohr, the pioneering Danish physicist and Nobel Prize winner in 1922, once remarked, “Prediction is very difficult, especially if it’s about the future.”1 In almost a century since, the frontiers
In their book, Prediction Machines: The Simple Economics of Artificial Intelligence, University of Toronto economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb posit that the principal benefit of Artificial Intelligence (AI)