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. None of us are prepared.

Crisis seems to follow crisis. Inequality is rising, growth is stagnant, the environment is suffering, and the COVID-19 pandemic has exposed every crack in the system. We hear more calls for radical change, even the overthrow of capitalism. But the answer to our problems is not revolution. The answer is to create a better capitalism by understanding and harnessing the power of creative destruction - innovation that disrupts, but that over the past 200 years has also lifted societies to previously unimagined prosperity.

Economic sanctions dominate the landscape of world politics today. First developed in the early twentieth century as a way of exploiting the flows of globalization to defend liberal internationalism, their appeal is that they function as an alternative to war. This view, however, ignores the dark paradox at their core: designed to prevent war, economic sanctions are modeled on devastating techniques of warfare.

Futurists insist that AI will soon eclipse the capacities of the most gifted human mind. What hope do we have against superintelligent machines? But we aren't really on the path to developing intelligent machines. In fact, we don't even know where that path might be. Erik Larson takes us on a tour of the landscape of AI to show how far we are from superintelligence and what it would take to get there.

Innovations rarely come from “experts.” Elon Musk was not an “electric car person” before he started Tesla. When it comes to improbable innovations, a legendary tech VC told Sebastian Mallaby, the future cannot be predicted, it can only be discovered. It is the nature of the venture-capital game that most attempts at discovery fail, but a very few succeed at such a scale that they more than make up for everything else. That extreme ratio of success and failure is the power law that drives the VC business, all of Silicon Valley, the wider tech sector, and, by extension, the world.

In Survival of the Richest, Rushkoff traces the origins of The Mindset in science and technology through its current expression in missions to Mars, island bunkers, AI futurism, and the metaverse. In a dozen urgent, electrifying chapters, he confronts tech utopianism, the datafication of all human interaction, and the exploitation of that data by corporations. Through fascinating characters, Rushkoff explains why those with the most power to change our current trajectory have no interest in doing so.

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.

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.

The half century extending from the imperial crisis between Britain and its colonies in the 1760s to the early decades of the new republic of the United States was the greatest and most creative era of constitutionalism in American history, and perhaps in the world. During these decades, Americans explored and debated all aspects of politics and constitutionalism - the nature of power, liberty, representation, rights, the division of authority between different spheres of government, sovereignty, judicial authority, and written constitutions.

In 1945, the Soviet Union controlled half of Europe and was a founding member of the United Nations. By 1991, it had an army four million strong, 5,000 nuclear-tipped missiles, and was the second biggest producer of oil in the world. But soon afterward, the union sank into an economic crisis and was torn apart by nationalist separatism. Its collapse was one of the seismic shifts of the 20th century.

Throughout history, technological change — whether it takes the form of agricultural improvements in the Middle Ages, the Industrial Revolution, or today’s artificial intelligence — has been viewed as a main driver of prosperity, working in the public interest. The reality, though, is that technology is shaped by what powerful people want and believe, generating riches, social respect, cultural prominence, and further political voice for those already powerful. For most of the rest of us, there is the illusion of progress.

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.

A good book may have the power to change the way we see the world, but a great book actually becomes part of our daily consciousness, pervading our thinking to the point that we take it for granted, and we forget how provocative and challenging its ideas once were - and still are. The Structure of Scientific Revolutions is that kind of book.

In the popular imagination, superhuman artificial intelligence is an approaching tidal wave that threatens not just jobs and human relationships, but civilization itself. Conflict between humans and machines is seen as inevitable and its outcome all too predictable. In this groundbreaking audiobook, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the idea of intelligence in humans and in machines.

Why did humans abandon hunting and gathering for sedentary communities dependent on livestock and cereal grains and governed by precursors of today's states? Most people believe that plant and animal domestication allowed humans, finally, to settle down and form agricultural villages, towns, and states, which made possible civilization, law, public order, and a presumably secure way of living. But archaeological and historical evidence challenges this narrative.

Bruce Greenwald, one of the nation's leading business professors, presents a new and simplified approach to strategy that cuts through much of the fog that has surrounded the subject. Based on his hugely popular course at Columbia Business School, Greenwald and his co-author, Judd Kahn, offer an easy-to-follow method for understanding the competitive structure of your industry and developing an appropriate strategy for your specific position.

In No Ordinary Disruption, the directors of the McKinsey Global Institute, the flagship think tank of the world's leading consulting firm, McKinsey & Company, dive deeply behind current headlines to analyze the key forces transforming the global economy over the next two decades - and most importantly, to explain what business and government leaders need to do to reset their intuitions and take advantage of the disruptions ahead.

In this sharp and controversial international best seller, an award-winning economist debunks the pervasive myth that the government is sluggish and inept, and at odds with a dynamic private sector. She reveals in detailed case studies that the opposite is true: The state is, and has been, our boldest and most valuable innovator. Denying this history is leading us down the wrong path. A select few get credit for what is an intensely collective effort, and the US government has started disinvesting from innovation.

In The Second Machine Age, Andrew McAfee and Erik Brynjolfsson predicted some of the far-reaching effects of digital technologies on our lives and businesses. Now they’ve written a guide to help listeners make the most of our collective future. Machine | Platform | Crowd outlines the opportunities and challenges inherent in the science fiction technologies that have come to life in recent years, like self-driving cars and 3D printers, online platforms for renting outfits and scheduling workouts, or crowd-sourced medical research and financial instruments.

In this provocative new book, Rifkin argues that the coming together of the Communication Internet with the fledgling Energy Internet and Logistics Internet in a seamless twenty-first-century intelligent infrastructure—the Internet of Things—is boosting productivity to the point where the marginal cost of producing many goods and services is nearly zero, making them essentially free.

World-renowned economist Klaus Schwab, founder and executive chairman of the World Economic Forum, explains that we have an opportunity to shape the fourth industrial revolution, which will fundamentally alter how we live and work.

A trio of experts on high-tech business strategy and innovation reveal the principles that have made platform businesses the most valuable firms in the world and the first trillion-dollar companies.

When Jean Tirole won the 2014 Nobel Prize in Economics, he suddenly found himself being stopped in the street by complete strangers and asked to comment on issues of the day, no matter how distant from his own areas of research. His transformation from academic economist to public intellectual prompted him to reflect further on the role economists and their discipline play in society. The result is Economics for the Common Good, a passionate manifesto for a world in which economics, far from being a "dismal science," is a positive force for the common good.

What to Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on artificial intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans, it raises profound questions on the future of work and how companies compete.

Why are cellphone plans so much more expensive in the United States than in Europe? It seems a simple question. But the search for an answer took Thomas Philippon on an unexpected journey through some of the most complex and hotly debated issues in modern economics. Ultimately, he reached a surprising conclusion: American markets, once a model for the world, are giving up on healthy competition.

The confluence of four technologies - elastic cloud computing, big data, artificial intelligence, and the internet of things - writes Siebel, is fundamentally changing how business and government will operate in the 21st century. Siebel masterfully guides listeners through a fascinating discussion of the game-changing technologies driving digital transformation and provides a roadmap to seize them as a strategic opportunity.

What do Google, Snapchat, Tinder, Amazon, and Uber have in common, besides soaring market share? They're platforms - a new business model that has quietly become the only game in town. A platform, by definition, creates value by facilitating an exchange between two or more interdependent groups. So, rather than making things, they simply connect people. The advent of mobile computing and its ubiquitous connectivity have forever altered how we interact with each other. Yet, few people truly grasp the radical structural shifts of the last 10 years.

When CEOs think about the supply chain, it's usually to cut costs. But the smartest leaders see supply chain and sourcing for what they can be: hidden tools for outperforming the competition. Steve Jobs, upon returning to Apple in 1997, focused on transforming the supply chain. He hired Tim Cook - and the company sped up the development of new products, getting them into consumers' hands faster. The rest is history.

Today, there are three Americas. At one extreme are the brain hubs with workers who are among the most productive, creative, and best-paid on the planet. At the other extreme are former manufacturing capitals that are rapidly losing jobs and residents. The rest of America could go either way. For the past 30 years, the three Americas have been growing apart at an accelerating rate. This divergence is one the most important developments in the history of the US and is reshaping the very fabric of our society. But the winners and losers aren't necessarily who you'd expect.

The untold story of how America once created the most successful economy the world has ever seen and how we can do it again.