The Economics of Big Data and Artificial Intelligence

Abstract The authors analyze the expansion of Big Data and artificial intelligence technologies from the perspective of economic theory. The authors argue that these technologies can be viewed from three perspectives: (1) as an intangible asset; (2) as a search and matching technology; and (3) as a forecasting technology. These points of view shed light on how new technologies are likely to affect matching between firms and consumers, productivity growth, price discrimination, competition, inequality among firms, and inequality among workers.