Early Adoption of Generative AI by Global Business Leaders: Insights from an INSEAD Alumni Survey
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...
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Main Authors | , |
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Format | Journal Article |
Language | English |
Published |
06.04.2024
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Subjects | |
Online Access | Get full text |
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Summary: | 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. |
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DOI: | 10.48550/arxiv.2404.04543 |