The Adoption of Industrial AI in America

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Authors: Kristina McElheran, Mu-Jeung Yang, Zachary Kroff, Erik Brynjolfsson
Cited by: 1
References: 7

Abstract

Using a mandatory, purpose-designed Census Bureau survey of approximately 28,500 establishments, we provide new evidence on industrial AI adoption in US manufacturing. Despite widespread digitization, only 22.8 percent of plants report any AI use as of 2021; intensity-weighted adoption is far lower. Adoption correlates with more-recent digital infrastructure—cloud computing and predictive analytics—rather than legacy on-premises IT or descriptive analytics. Structured production-process management and size are significant predictors. Cost and lack of applicable use case are the most cited barriers, followed by expertise. Prior productivity does not predict use, pointing to organizational readiness as a key barrier to AI diffusion.

Fields of Study & Subjects

Big Data and Business Intelligence Digital Transformation in Industry Ethics and Social Impacts of AI

Publication details

Journal / source
AEA Papers and Proceedings
Publisher
American Economic Association
Volume
116
Pages
20–25
Publication date
1 May 2026
Language
EN