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.

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.

Being a student of Economics and Business, I always seek to refresh my knowledge of key common terms in these areas. Economics, Business and Politics overlap a great deal in both academic and real-world applications. Artificial Intelligence will hopefully add for the better, the fields of Business, Politics and Economics. AI has the potential to revolutionize the way business operates and contribute to global economic activity.