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Early Adoption of Generative AI by Global Business Leaders: Insights from an INSEAD Alumni Survey
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Early Adoption of Generative AI by Global Business Leaders: Insights from an INSEAD Alumni Survey

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  • Jason P Davis
  • Jian Bai Li

Abstract

How are new technologies like generative AI quickly adopted and used by executive and managerial leaders to create value in organizations? A survey of INSEAD's global alumni base revealed several intriguing insights into perceptions and engagements with generative AI across a broad spectrum of demographics, industries, and geographies. Notably, there's a prevailing optimism about the role of generative AI in enhancing productivity and innovation, as evidenced by the 90% of respondents being excited about its time-saving and efficiency benefits. Analysis revealed different attitudes about adoption and use across demographic variables. Younger respondents are significantly more excited about generative AI and more likely to be using it at work and in personal life than older participants. Those in Europe have a somewhat more distant view of generative AI than those in North America in Asia, in that they see the gains more likely to be captured by organizations than individuals, and are less likely to be using it in professional and personal contexts than those in North America and Asia. This may also be related to the fact that those in Europe are more likely to be working in Financial Services and less likely to be working in Information Technology industries than those in North America and Asia. Despite this, those in Europe are more likely to see AGI happening faster than those in North America, although this may reflect less interaction with generative AI in personal and professional contexts. These findings collectively underscore the complex and multifaceted perceptions of generative AI's role in society, pointing to both its promising potential and the challenges it presents.

Suggested Citation

  • Jason P Davis & Jian Bai Li, 2024. "Early Adoption of Generative AI by Global Business Leaders: Insights from an INSEAD Alumni Survey," Papers 2404.04543, arXiv.org.
    • Handle: RePEc:arx:papers:2404.04543
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    1. Bresnahan, Timothy F. & Trajtenberg, M., 1995. "General purpose technologies 'Engines of growth'?," Journal of Econometrics, Elsevier, vol. 65(1), pages 83-108, January.
    2. Erik Brynjolfsson & Danielle Li & Lindsey R. Raymond, 2023. "Generative AI at Work," NBER Working Papers 31161, National Bureau of Economic Research, Inc.
    3. Edward P. Lazear, 2004. "Balanced Skills and Entrepreneurship," American Economic Review, American Economic Association, vol. 94(2), pages 208-211, May.
    4. Mary Tripsas, 2009. "Technology, Identity, and Inertia Through the Lens of “The Digital Photography Company”," Organization Science, INFORMS, vol. 20(2), pages 441-460, April.
    5. Tyna Eloundou & Sam Manning & Pamela Mishkin & Daniel Rock, 2023. "GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models," Papers 2303.10130, arXiv.org, revised Aug 2023.
    6. Otis, Nicholas G. & Clarke, Rowan Philip & Delecourt, Solene & Holtz, David & Koning, Rembrand, 2023. "The Uneven Impact of Generative AI on Entrepreneurial Performance," OSF Preprints hdjpk, Center for Open Science.
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