Cited by 9Innovation Diffusion and ForecastingInformation Systems Theories and ImplementationManagement Theory and Practice

Organizational and Economic Obstacles to Automation: A Cautionary Tale from AT&T in the Twentieth Century

Feigenbaum, James, Gross, Daniel P.·2024·Management Science

Abstract

AT&T was the largest U.S. firm for most of the 20th century. Telephone operators once comprised more than 50% of its workforce, but in the late 1910s, it initiated a decades-long process of automating telephone operation with mechanical call switching—a technology invented in the 1880s. We study what drove AT&T to do so and why it took nearly a century. Interdependencies between call switching and nearly every other activity in AT&T’s business presented obstacles to change: Telephone operators were the fulcrum of a complex production system that had developed around them, and automation only began after the firm and new technology were adapted to work together. Even then, automatic switching was only profitable in larger markets—hence, diffusion expanded when the technology improved or service areas grew. The example suggests even narrowly defined tasks can be difficult to automate if they interact with many others. This paper was accepted by Joshua Gans, business strategy. Funding: The authors thank the Duke University Fuqua School of Business and Harvard Business School Division of Research and Faculty Development for financial support. Supplemental Material: The online appendices and data files are available at https://doi.org/10.1287/mnsc.2022.01760 .

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Crossref · 10.1287/mnsc.2022.01760

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2 of 2 references verified0 citation errors · 0 not checkable

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  • The diffusion of general-purpose technologies literature stresses the need for complementary investments and coinvention.

    “More broadly, the importance of employer initiatives for AI chatbot adoption echoes an extensive literature on the diffusion of general-purpose technologies, which stresses the need for complementary investments and coinvention (Bresnahan and Greenstein, 1996; David, 1990; Feigenbaum and Gross, 2024).”

    From Still Waters, Rapid Currents: Early Labor Market Transformation under Generative AI (2025) · cites this paper as Feigenbaum and Gross, 2024

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Authors
Feigenbaum, J., & Gross, D. P.
Affiliations
  • Boston University (US)
  • National Bureau of Economic Research (US)
Corresponding author
Gross, Daniel P.
Venue
Management Science
Published
2024-12
Volume
70
Issue
12
Pages
8520-8540
ISSN
  • 0025-1909 (ISSN-L)
  • 1526-5501
OpenAlex
W4392191201
Cited by
9
References
2
Citations by year
2026: 2 · 2025: 7
FWCI
2.74
Type
journal article
Language
en
Open access
closed
Locations
Management Science (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Innovation Diffusion and Forecasting
  • Social Sciences › Sociology and Political Science › Information Systems Theories and Implementation
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Management Theory and Practice
Keywords
automation, AT&T, telephone operators, organizational inertia, technology diffusion, organizational change

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