AI will be the defining development of the 21st century. Within two decades, aspects of daily human life will be unrecognizable. AI will generate unprecedented wealth, revolutionize medicine and education through human-machine symbiosis, and create brand-new forms of communication and entertainment. In liberating us from routine work, however, AI will also challenge the organizing principles of our economic and social order.

For over 20 years, a select group of Yale undergraduates has been admitted into the year-long "Grand Strategy" seminar team-taught by John Lewis Gaddis and Paul Kennedy. Its purpose: to provide a grounding in strategic decision-making in the face of crisis to prepare future American leaders for important work. Now, John Lewis Gaddis has transposed the experience of that course into a wonderfully succinct, lucid and inspirational book, a view from the commanding heights of statesmanship across the landscape of world history from the ancient Greeks to Lincoln, and beyond.

Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.

Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us - and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole - and appear to assess black and white defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill.

Developing and implementing a strategy is the central task of a leader. A good strategy is a specific and coherent response to - and approach for - overcoming the obstacles to progress. A good strategy works by harnessing and applying power where it will have the greatest effect. Yet, Rumelt shows that there has been a growing and unfortunate tendency to equate Mom-and-apple-pie values, fluffy packages of buzzwords, motivational slogans, and financial goals with “strategy”.

In the tradition of Phil Knight's Shoe Dog comes the incredible untold story of how Netflix went from concept to company—all revealed by cofounder and first CEO Marc Randolph. From idea generation to team building to knowing when it's time to let go, That Will Never Work is not only the ultimate follow-your-dreams parable, but also one of the most dramatic and insightful entrepreneurial stories of our time.

One of the biggest myths that plagues the business world today is that our ability to network depends on having the “gift-of-gab”. You don’t have to be outgoing to be successful at networking. You don’t have to become a relentless self-promoter. In fact, you don’t have to act like an extrovert at all. Matthew Pollard, an introvert himself, draws on over a decade of research and real-world examples to provide an actionable blueprint for introverted networking.

Google Executive Chairman and ex-CEO Eric Schmidt and former SVP of Products Jonathan Rosenberg came to Google over a decade ago as proven technology executives. At the time, the company was already well-known for doing things differently, reflecting the visionary - and frequently contrarian - principles of founders Larry Page and Sergey Brin. If Eric and Jonathan were going to succeed, they realized they would have to relearn everything they thought they knew about management and business.

Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success.

Number one New York Times best-selling author John C. Maxwell responds to the most popular questions he's received to help listeners achieve greater success. John Maxwell, America's number one leadership authority, has mastered the art of asking questions, using them to learn and grow, connect with people, challenge himself, improve his team, and develop better ideas. In this compact derivative of Good Leaders Ask Great Questions, he gives detailed answers to the most popular and intriguing questions posed to him by people at all stages of their careers.