Artificial Intelligence Economics

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.

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.

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.

As machines are trained to "think", many tasks that previously required human intelligence are becoming automated through artificial intelligence. However, it is more difficult to automate emotional intelligence, and this is where the human worker's competitive advantage over machines currently lies. This book explores the impact of AI on everyday life, looking into workers' adaptation to these changes, the ways in which managers can change the nature of jobs in light of AI developments, and the potential for humans and AI to continue working together.

The Economic Singularity is the time when most people cannot find employment, because machines can do everything that humans can do for money cheaper, faster, and better than they can. Some people say this will never happen, but most AI professionals think it will, although they disagree about when.

A thousand years of history and contemporary evidence make one thing clear. Progress depends on the choices we make about technology. New ways of organizing production and communication can either serve the narrow interests of an elite or become the foundation for widespread prosperity. With their breakthrough economic theory and manifesto for a better society, Acemoglu and Johnson provide the vision needed to reshape how we innovate and who really gains from technological advances.

In the beginning was Josh Levine, an idealistic programming genius who dreamed of wresting control of the market from the big exchanges that, again and again, gave the giant institutions an advantage over the little guy. Levine created a computerized trading hub named "Island" where small traders swapped stocks, and over time his invention morphed into a global electronic stock market that sent trillions in capital through a vast jungle of fiber-optic cables.

As machines become capable of doing most of the work people have performed for centuries, we are headed for a massive social reorganization. In The Five Forces That Change Everything, Steve Hoffman, venture capitalist and CEO of Founders Space, takes you on a journey to see what the most brilliant minds of our age are dreaming up.

Robots may one day rule the world, but what is a robot-ruled Earth like? Many think the first truly smart robots will be brain emulations, or ems. Scan a human brain, then run a model with the same connections on a fast computer, and you have a robot brain, but recognizably human. Train an em to do some job and copy it a million times; an army of workers is at your disposal. When they can be made cheaply, within perhaps a century, ems will displace humans in most jobs.

In a wide-ranging narrative that takes us from a downsized marketing executive in Massachusetts, to a father of three in Appalachia finding purpose and meaning working in a convenience-store chain, to an unemployed autoworker retraining in "advanced manufacturing", Shell reveals how work is essential to our flourishing and pyschological well-being - and how so many of the avenues to well-paid and meaningful work will be challenged in the years ahead.

From the Industrial Revolution to the age of artificial intelligence, The Technology Trap takes a sweeping look at the history of technological progress and how it has radically shifted the distribution of economic and political power among society’s members.

Leading innovation expert Alec Ross explains what's next for the world, mapping out the advances and stumbling blocks that will emerge in the next 10 years - for businesses, governments, and the global community - and how we can navigate them.

The 21st annual Bankers as Buyers report examines an evolving financial landscape and discusses the trends shaping the industry's future. Explore Artificial Intelligence, Invisible Technology, Payments, and The Importance of Diversity. Bankers as Buyers relies on interviews from a wide variety of people we trust, published reports, and contributed articles.

An innovative trend combining technology with economics is unraveling behemoth industries - including corporations, banks, farms, media conglomerates, energy systems, governments, and schools - that have long dominated business and society. Size and scale have become a liability. A new generation of upstarts is using artificial intelligence to automate tasks that once required expensive investment, and "renting" technology platforms to build businesses for hyper-focused markets, enabling them to grow big without the bloat of giant organizations.

A new field of collective intelligence has emerged in the last few years, prompted by a wave of digital technologies that make it possible for organizations and societies to think at large scale. This "bigger mind" - human and machine capabilities working together - has the potential to solve the great challenges of our time. So why do smart technologies not automatically lead to smart results?

It is important to reflect on the significant role that artificial intelligence (AI) plays in shaping the future of financial transactions. The transition from paper money to digital money is not just a trend, but a fundamental shift in the way we conduct financial transactions. In 2024, AI is at the forefront of this change, influencing how we interact with money in the digital realm.

Technology destroys more jobs than it creates, and this is doubly true of AI. Everybody knows it, and we try to fight it by creating fake public sector jobs. The economy will grind to a halt, thanks to resulting bureaucratic bloat. So, it's time to admit that we need universal welfare. It's time to stop wasting our lives at fake dead-end jobs. Let's get out of the way of the few people who are actually making the economy work.

Imagine a world where technology understands the human condition - a world that values relationships more than diamonds - a place where people earn a living, not from selling, but from compassion. We stand on the threshold of such a world. The door is open.

En los últimos años China se ha convertido en una verdadera superpotencia de la IA y el único verdadero contrapeso nacional a Estados Unidos en esta tecnología emergente. Por ello, la forma en que estos dos países decidan competir y cooperar podría llegar a tener consecuencias dramáticas para la economía y la gobernabilidad mundial.