The business revolution: Economy-wide impacts of artificial intelligence and digital platforms

Hanna Halaburda, Jeffrey Prince, D. Daniel Sokol, Feng ZhuIn this essay, we identify several themes of the digital business transformation, with a particular focus on the economy-wide impacts of artificial intelligence and digital platforms.

The impact of artificial intelligence design on pricing

John Asker, Chaim Fershtman, Ariel PakesThe behavior of artificial intelligence (AI) algorithms is shaped by how they learn about their environment. We compare the prices generated by AIs that use different learning protocols when there is market interaction.

What innovation paths for AI to become a GPT?

Timothy BresnahanEarly commercial applications of artificial intelligence technologies (AITs) were narrow but extremely profitable. Comparable uses of those technologies throughout the economy would lead to a growth boom.

Platforms and the transformation of the content industries

Luis Aguiar, Imke Reimers, Joel WaldfogelThis paper discusses how digitization and the associated emergence of distribution platforms have affected product discovery, as well as new opportunities, in the content industries.

Artificial intelligence adoption and system-wide change

Ajay Agrawal, Joshua S. Gans, Avi GoldfarbAnalyses of artificial intelligence (AI) adoption focus on its adoption at the individual task level. What has received significantly less attention is how AI adoption is shaped by the fact that organizations are composed of many interacting tasks.

M&A and technological expansion

Ginger Zhe Jin, Mario Leccese, Liad WagmanWe examine how public firms listed in North American stock exchanges acquire technology companies during 2010–2020.

Augmenting physicians with artificial intelligence to transform healthcare: Challenges and opportunities

Ritu Agarwal, Michelle Dugas, Guodong (Gordon) GaoWe reflect on the progress and prospects of artificial intelligence (AI)-powered transformation in healthcare from the perspective of front-line clinical professionals responsible for care delivery. While there is considerable optimism about the potential of AI, critical gaps in understanding remain that represent fruitful opportunities for economics and management scholars.

AI adoption in America: Who, what, and where

Kristina McElheran, J. Frank Li, Erik Brynjolfsson, Zachary Kroff, Emin Dinlersoz, Lucia Foster, Nikolas ZolasWe study the early adoption and diffusion of five artificial intelligence (AI)-related technologies (automated-guided vehicles, machine learning, machine vision, natural language processing, and voice recognition) as documented in the 2018 Annual Business Survey of 850,000 firms across the United States.

The rise of empirical online platform research in the new millennium

Hsing Kenneth Cheng, D. Daniel Sokol, Xinyu ZangOnline platforms have emerged as a dominant business model in numerous industries in the new millennium. In light of the substantial and burgeoning body of empirical platform research, this article synthesizes extant studies and identifies the evolution of underlying research methodologies and topics.

Make or buy your artificial intelligence? Complementarities in technology sourcing

Charles Hoffreumon, Chris Forman, Nicolas van ZeebroeckWe investigate firm decisions to adopt artificial intelligence (AI) technology and how adoption is sourced: by purchasing commercial readymade software, by developing or customizing solutions in-house, or both.

Volume 33, 2024 Issue 2 Journal of Economics & Management Strategy

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