In their book Abundance, best-selling authors and futurists Peter Diamandis and Steven Kotler tackled grand global challenges, such as poverty, hunger, and energy. Then, in Bold, they chronicled the use of exponential technologies that allowed the emergence of powerful new entrepreneurs. Now the best-selling authors are back with The Future Is Faster Than You Think, a blueprint for how our world will change in response to the next 10 years of rapid technological disruption.

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.

How will artificial intelligence affect crime, war, justice, jobs, society, and our very sense of being human? The rise of AI has the potential to transform our future more than any other technology - and there's nobody better qualified or situated to explore that future than Max Tegmark, an MIT professor who's helped mainstream research on how to keep AI beneficial.

In 2014, Theranos founder and CEO Elizabeth Holmes was widely seen as the female Steve Jobs: a brilliant Stanford dropout whose start-up “unicorn” promised to revolutionize the medical industry with a machine that would make blood testing significantly faster and easier. Backed by investors such as Larry Ellison and Tim Draper, Theranos sold shares in a fund-raising round that valued the company at more than $9 billion, putting Holmes’ worth at an estimated $4.7 billion. There was just one problem: The technology didn’t work.

David Epstein examined the world’s most successful athletes, artists, musicians, inventors, forecasters, and scientists. He discovered that in most fields - especially those that are complex and unpredictable - generalists, not specialists, are primed to excel. Generalists often find their path late, and they juggle many interests rather than focusing on one. They’re also more creative, more agile, and able to make connections their more specialized peers can’t see. 

Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a truly robust artificial intelligence. Taking inspiration from the human mind, professors Gary Marcus and Ernest Davis explain what we need to advance AI to the next level, and suggest that if we are wise along the way, we won't need to worry about a future of machine overlords. Rebooting AI provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of how a new generation of AI can make our lives better.

In just a decade and a half, Jack Ma, a man from modest beginnings who started out as an English teacher, founded Alibaba and built it into one of the world's largest companies, an e-commerce empire on which hundreds of millions of Chinese consumers depend. Alibaba's $25 billion IPO in 2014 was the largest global IPO ever. A Rockefeller of his age who is courted by CEOs and presidents around the world, Jack is an icon for China's booming private sector.

For over three decades, Ray Kurzweil has been one of the most respected and provocative advocates of the role of technology in our future. In his classic The Age of Spiritual Machines, he argued that computers would soon rival the full range of human intelligence at its best. Now he examines the next step in this inexorable evolutionary process: the union of human and machine, in which the knowledge and skills embedded in our brains will be combined with the vastly greater capacity, speed, and knowledge-sharing ability of our creations. 

Superintelligence asks the questions: What happens when machines surpass humans in general intelligence? Will artificial agents save or destroy us? Nick Bostrom lays the foundation for understanding the future of humanity and intelligent life. The human brain has some capabilities that the brains of other animals lack. It is to these distinctive capabilities that our species owes its dominant position. If machine brains surpassed human brains in general intelligence, then this new superintelligence could become extremely powerful - possibly beyond our control.

Edward Snowden, the man who risked everything to expose the US government’s system of mass surveillance, reveals for the first time the story of his life, including how he helped to build that system and what motivated him to try to bring it down.

Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.

Sleep is one of the most important but least understood aspects of our life, wellness, and longevity. Until very recently, science had no answer to the question of why we sleep, or what good it served, or why we suffer such devastating health consequences when we don't sleep. Compared to the other basic drives in life - eating, drinking, and reproducing - the purpose of sleep remained elusive.

The team behind How Google Works returns with management lessons from legendary coach and business executive Bill Campbell, whose mentoring of some of our most successful modern entrepreneurs has helped create well over a trillion dollars in market value. Bill Campbell played an instrumental role in the growth of several prominent companies, such as Google, Apple, and Intuit, fostering deep relationships with Silicon Valley visionaries, including Steve Jobs, Larry Page, and Eric Schmidt.

What entrepreneur or founder doesn't aspire to build the next Amazon, Facebook, or Airbnb? Yet those who actually manage to do so are exceedingly rare. So what separates the start-ups that get disrupted and disappear from the ones who grow to become global giants? The secret is blitzscaling: a set of techniques for scaling up at a dizzying pace that blows competitors out of the water.

Brilliant and engagingly written, Why Nations Fail answers the question that has stumped the experts for centuries: Why are some nations rich and others poor, divided by wealth and poverty, health and sickness, food and famine?