In "Prediction Machines," economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explore the advancement and growing use of artificial intelligence (AI). The key to AI is not actually intelligence but prediction. This text looks at the value of prediction and data, the importance of trade-offs, and the impact of AI in the workplace. Beneficial to business leaders, financial analysts, policy makers, and students, "Prediction Machines" offers insights, tools, and strategies on how to adapt businesses to the world's ever-growing use of AI. Part 5 consists of chapter 19 and looks at how AI affects society more generally. Chapter 19 offers a discussion on the choices and trade-offs that the rise of AI presents society. Three specific trade-offs are explored: productivity versus distribution, innovation versus competition, and performance versus privacy. For all three of these trade-offs, the costs and benefits must be weighed, and policies must be designed that are most aligned with overall strategy and citizen preferences.