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 14 looks at how implementing AI may restructure jobs. When tasks are fully automated, new tasks may be created that need humans to perform them. Various implications of AI implementation for jobs are described, including reconstituting jobs and shifting the emphasis on specific skills required for particular jobs. This shift may change the types of people who are best suited for these jobs.