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 3, consisting of chapters 12 through 14, explores AI tools, how to implement them into the workforce, and how that implementation may change the nature of certain jobs and bring about new ones. Chapter 12 examines AI tools as point solutions; most tools are designed to perform a specific task. The steps to implement AI into work flows are outlined. Benefits and productivity gains from AI may not be seen automatically. An example of an AI predicting the ranking of MBA applications is given to show the potential effects of an AI on a work flow.