This is a practical, non-technical guide for business leaders, entrepreneurs, and curious minds. This comprehensive guide on agentic AI cuts through the hype and offers a clear, jargon-free strategic roadmap to understanding and applying this technology. The authors bring a rare perspective, having implemented agentic AI across diverse organizations—from global enterprises to agile startups—witnessing both remarkable successes and sobering failures.

Confused about AI and worried about what it means for your future and the future of the world? You’re not alone. AI is everywhere—and few things are surrounded by so much hype, misinformation, and misunderstanding. In AI Snake Oil, computer scientists Arvind Narayanan and Sayash Kapoor cut through the confusion to give you an essential understanding of how AI works, why it often doesn’t, where it might be useful or harmful, and when you should suspect that companies are using AI hype to sell AI snake oil—products that don’t work, and probably never will.

Two leading authorities—an acclaimed historian and the outstanding battlefield commander and strategist of our time—collaborate on a landmark examination of war since 1945. Conflict is both a sweeping history of the evolution of warfare up to Putin’s invasion of the Ukraine, and a penetrating analysis of what we must learn from the past—and anticipate in the future—in order to navigate an increasingly perilous world.

In Other Minds, Peter Godfrey-Smith, a distinguished philosopher of science and a skilled scuba diver, tells a bold new story of how subjective experience crept into being—how nature became aware of itself. As Godfrey-Smith stresses, it is a story that largely occurs in the ocean, where animals first appeared.

In this groundbreaking treatise, Palantir co-founder and CEO Alexander C. Karp and Nicholas W. Zamiska offer a searing critique of our collective abandonment of ambition, arguing that in order for the U.S. and its allies to retain their global edge—and preserve the freedoms we take for granted—the software industry must renew its commitment to addressing our most urgent challenges, including the new arms race of artificial intelligence. The government, in turn, must embrace the most effective features of the engineering mindset that has propelled Silicon Valley’s success.

This book predicts the decline of today's professions and describes the people and systems that will replace them. In an Internet society, according to Richard Susskind and Daniel Susskind, we will neither need nor want doctors, teachers, accountants, architects, the clergy, consultants, lawyers, and many others to work as they did in the 20th century.

Written by seasoned tech executive Sandy Carter, AI First, Human Always is your guidebook to the seven hottest trends in AI. This book will recalibrate your approach to the exponential curve of emerging AI solutions for business. It will help you transform today's unstoppable currents of change into tailwinds that propel your organization to great heights.

Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation. With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice.

Is artificial intelligence going to take over the world? Have big tech scientists created an artificial lifeform that can think on its own? Is it going to put authors, artists, and others out of business? Are we about to enter an age where computers are better than humans at everything? The answer to these questions, linguist Emily M. Bender and sociologist Alex Hanna make clear, is “no,” “they wish,” “LOL,” and “definitely not.” This kind of thinking is a symptom of a phenomenon known as “AI hype.”

When AI expert and investigative journalist Karen Hao first began covering OpenAI in 2019, she thought they were the good guys. Founded as a nonprofit with safety enshrined as its core mission, the organization was meant, its leader Sam Altman told us, to act as a check against more purely mercantile, and potentially dangerous, forces. What could go wrong?

Brimming with energy and lively examples, How Things Are Made maps the awe-inspiring global system of manufacturing that enables virtually every aspect of our existence. By making sense of this surprising and hidden world, we are able to make better choices for ourselves, our communities, and the planet.

A drought lasts for decades, a disease rips through a city, a civilization collapses. When we finally uncover the ruins, we ask: What happened? The good news is, we’ve been here before. History is long, and people have already confronted just about every apocalypse we’re facing today. But these days, archaeologists are getting better at seeing stories of survival, transformation, and even progress hidden within those histories of collapse and destruction. Perhaps, we begin to see, apocalypses do not destroy worlds, but create them anew.

Millionaire Milestones will change the way you think about money—teaching you a wealth-building mindset and arming you with the facts and figures you need to hit your financial goals, without sacrificing your time and happiness. It’s a progressive strategy that you can adapt for any stage of your journey.

We are used to thinking of computers as being a step up from calculators - very good at storing information, and maybe even at playing a logical game like chess. But up to now they haven't been able to think in ways that are intuitive, or respond to questions as a human might. All that has changed, dramatically, in the past few years. Our search engines are becoming answer engines. Artificial intelligence is already revolutionising sectors from education to healthcare to the creative arts. But how does an AI understand sentiment or context?

Tech billionaires have decided that they should determine our futures for us. According to Elon Musk, Jeff Bezos, Sam Altman, and more, the only good future for humanity is one powered by technology: trillions of humans living in space, functionally immortal, served by superintelligent AIs. In More Everything Forever, science writer Adam Becker investigates these wildly implausible and often profoundly immoral visions of tomorrow—and shows why, in reality, there is no good evidence that they will, or should, come to pass.

From mechanical looms to the combustion engine to the first computers, new technologies have always provoked panic about workers being replaced by machines. For centuries, such fears have been misplaced, and many economists maintain that they remain so today. But as Daniel Susskind demonstrates, this time really is different. Breakthroughs in artificial intelligence mean that all kinds of jobs are increasingly at risk.

In The Experimentation Machine, HBS professor, entrepreneur, and venture capitalist Jeffrey J. Bussgang reveals how AI is transforming the way startups find product-market fit and scale.

Confused about AI and worried about what it means for your future and the future of the world? You’re not alone. AI is everywhere—and few things are surrounded by so much hype, misinformation, and misunderstanding. In AI Snake Oil, computer scientists Arvind Narayanan and Sayash Kapoor cut through the confusion to give you an essential understanding of how AI works, why it often doesn’t, where it might be useful or harmful, and when you should suspect that companies are using AI hype to sell AI snake oil—products that don’t work, and probably never will.

At a time when artificial intelligence, climate change, and inequality are raising fundamental questions about the economic system, Capitalism and Its Critics provides a kaleidoscopic history of global capitalism, from the East India Company to Apple. But here John Cassidy, a staff writer at The New Yorker and a Pulitzer Prize finalist, adopts a bold new approach: he tells the story through the eyes of the system’s critics.

An Olympic athlete. An award-winning novelist. A successful entrepreneur. All raised under one roof. What can we learn from those families whose children aim high and succeed, sometimes in widely varied fields? Just as important: What were the costs along the way, and what can we glean from their travails and triumphs? The acclaimed New York Times journalist Susan Dominus offers compelling profiles of six such families in search of the factors that led to their success—was it an inherited quality, a specific way of parenting, the influence of a sibling, or a twist of luck?