We are approaching a critical threshold in the history of our species. Everything is about to change. Soon you will live surrounded by AIs. They will organize your life, operate your business, and run core government services. You will live in a world of DNA printers and quantum computers, engineered pathogens and autonomous weapons, robot assistants and abundant energy.

When Elon Musk was a kid in South Africa, he was regularly beaten by bullies. One day a group pushed him down some concrete steps and kicked him until his face was a swollen ball of flesh. He was in the hospital for a week. But the physical scars were minor compared to the emotional ones inflicted by his father, an engineer, rogue, and charismatic fantasist.

In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go deeper, examining the most basic unit of analysis: the decision. The authors explain that the two key decision-making ingredients are prediction and judgment, and we perform both together in our minds, often without realizing it.

When Michael Lewis first met him, Sam Bankman-Fried was the world’s youngest billionaire and crypto’s Gatsby. CEOs, celebrities, and leaders of small countries all vied for his time and cash after he catapulted, practically overnight, onto the Forbes billionaire list. Who was this rumpled guy in cargo shorts and limp white socks, whose eyes twitched across Zoom meetings as he played video games on the side?

Every investment plan under the sun is, at best, an informed speculation of what may happen in the future, based on a systematic extrapolation from the known past. Same as Ever reverses the process, inviting us to identify the many things that never, ever change. With his usual elan, Morgan Housel presents a master class on optimizing risk, seizing opportunity, and living your best life. Through a sequence of engaging stories and pithy examples, he shows how we can use our newfound grasp of the unchanging to see around corners.

Robert Sapolsky’s Behave, his now classic account of why humans do good and why they do bad, pointed toward an unsettling conclusion: We may not grasp the precise marriage of nature and nurture that creates the physics and chemistry at the base of human behavior, but that doesn’t mean it doesn’t exist. Now, in Determined, Sapolsky takes his argument all the way, mounting a brilliant (and in his inimitable way, delightful) full-frontal assault on the pleasant fantasy that there is some separate self telling our biology what to do.

Wired called Dr. Fei-Fei Li “one of a tiny group of scientists—a group perhaps small enough to fit around a kitchen table—who are responsible for AI’s recent remarkable advances.” Known to the world as the creator of ImageNet, a key catalyst of modern artificial intelligence, Dr. Li has spent more than two decades at the forefront of the field. But her career in science was improbable from the start. The Worlds I See is the moving memoir of a scientist coming of age as an immigrant in America who finds her calling at the forefront of the AI revolution.

In 2021 cryptocurrency went mainstream. Giant investment funds were buying it, celebrities like Tom Brady endorsed it, and TV ads hailed it as the future of money. Hardly anyone knew how it worked—but why bother with the particulars when everyone was making a fortune from Dogecoin, Shiba Inu, or some other bizarrely named “digital asset”? As he observed this frenzy, investigative reporter Zeke Faux had a nagging question: Was it all just a confidence game of epic proportions? What started as curiosity—with a dash of FOMO—would morph into a two-year globe-spanning quest.

We used to think of failure as the opposite of success. Now, we’re often torn between two “failure cultures”: one that says to avoid failure at all costs, the other that says fail fast, fail often. The trouble is that both approaches lack the crucial distinctions to help us separate good failure from bad. As a result, we miss the opportunity to fail well. After decades of award-winning research, Amy Edmondson is here to upend our understanding of failure and make it work for us. In Right Kind of Wrong, Edmondson provides the framework to think, discuss, and practice failure wisely.

Ray Dalio does not want you to listen to this audiobook. Late last year, when the billionaire founder of Bridgewater Associates, the largest hedge fund on the planet, announced that he was stepping down from the company he started out of his apartment nearly 50 years ago, the news made headlines around the world. Dalio cultivated an aura of international admiration and fame thanks to his company’s eye-popping success, coupled with a mystique he encouraged with frequent media appearances, celebrity hobnobbing, and his bestselling book, Principles.

This book will put AI, big data, the cloud, robotics, and smart devices in context. It will reveal how these technologies can dramatically multiply any businesses—including yours—by strategically using your data's latent, transformative potential.

From social disruptions like economic recessions, pandemics, and new technologies to individual disruptions like getting married or divorced, illness and injury, career transitions, and becoming a parent, we undergo change and transformation—both good and bad—regularly. Change is not the exception. It’s the rule. Yet we endlessly fight it, often viewing it as a threat to our stability and sense of self.

It's the hidden epidemic of small moments of anxiety that infiltrate both our work and personal lives. Because each individual microstress is so small, it doesn't trigger the normal stress response in our brains to help us deal with it. Instead, the microstress just embeds in our minds, accumulating along with scores of other microstresses, day-to-day and week-to-week. The long-term effect is devastating: microstress invisibly weighs us down, damages our health, and contributes to a decline in our overall well-being. The good news is that once you learn about microstress, you can fight back.

Benjamín Labatut’s When We Cease to Understand the World electrified a global readership. A Booker Prize and National Book Award finalist, and one of the New York Times’ Ten Best Books of the Year, it explored the life and thought of a clutch of mathematicians and physicists who took science to strange and sometimes dangerous new realms. In The MANIAC, Labatut has created a tour de force on an even grander scale.

For as long as we’ve studied human cognition, we’ve believed that our senses give us direct access to the world. What we see is what’s really there—or so the thinking goes. But new discoveries in neuroscience and psychology have turned this assumption on its head. What if rather than perceiving reality passively, your mind actively predicts it?