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September 26, 2025Strategic Organization8 citationsOpen Access

EXPRESS: Generative AI and the Social Fabric of Organizations

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RMReza MousaviMHMarleen Huysman

Key Points

  • Generative AI may disrupt workplace dynamics, altering how employees share and exchange resources, trust, and expertise.
  • Under a laissez-faire scenario, generative AI leads to the emergence of new roles, redefining interaction patterns among employees.
  • A cultivation approach integrates generative AI into daily work, enhancing social connections and collaboration within the organization.
  • The analysis addresses generative AI's potential for both productivity gains and challenges to the organizational social fabric.

Abstract

The rapid rise of Generative Artificial Intelligence (GenAI) tools is provoking intense debate about their potential to boost productivity, stimulate creativity, or disrupt employment. While insightful, these discrete, short-term metrics risk obscuring GenAI’s deeper and longer-term implications for the social fabric of organizations—i.e., the ways in which pathways of organizational members interweave in the course of everyday work. In this essay, we identify three sociotechnical characteristics of GenAI use in the workplace—its multipurpose usability, unpredictable plausibility, and hyper-personalizability—and outline how they can reroute the ways employees cross paths, interact, and exchange resources in everyday work. We consider two contrasting scenarios. Under a laissez-faire scenario, GenAI use can disrupt the flows of resources such as expertise, trust, and collegiality within the organization—in what we refer to as the rise of GenAI ‘polymaths’, ‘oracles’, and ‘sirens’ in the workplace. Under a cultivation scenario, by contrast, GenAI use is deliberately weaved into the meshwork of everyday work pathways in ways that strengthen, rather than erode, the social fabric that holds the organization together.

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Cite This Study

Mousavi et al. (2025) studied this question.

synapsesocial.com/papers/68d6c687b1249cec298b2b5chttps://doi.org/10.1177/14761270251385456
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