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 4, comprising chapters 15 to 18, looks at various strategies for implementing AI in business models. Topics include strategies for those in leadership positions, how AI can transform organizations, AI-first strategies, and managing AI risk. Chapter 15 discusses AI strategy in terms of C-suite leadership. AI tools can bring about a strategic change as long as there is a core trade-off in the business model, the trade-off is influenced by uncertainty, and the AI tool reduces uncertainty enough to change the optimal strategy. Implementing AI tools in one aspect of an organization can affect other aspects; it may result in redesigning work flows. Prediction machines will also increase the value of judgment, which could influence changes in organizational hierarchy.