"Oops! ChatGPT is Temporarily Unavailable!": A Diary Study on Knowledge Workers' Experiences of LLM Withdrawal

arXiv cs.AI / 3/30/2026

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Key Points

  • A four-day diary study with frequent LLM users examined how knowledge workers experienced a temporary LLM withdrawal and how quickly workflows were disrupted.
  • The researchers found that withdrawal exposed gaps in task execution, suggesting participants had become dependent on LLM support for parts of their work.
  • Participants’ self-directed responses included reclaiming professional values, indicating coping and recovery behaviors that go beyond simply “restarting” the tool.
  • The study characterizes LLMs as infrastructural—so embedded that everyday practices make their use effectively normative even when the system is absent.
  • The authors propose “value-driven appropriation” as an approach for supporting professional values in environments where LLMs are pervasive and hard to ignore.

Abstract

LLMs have become deeply embedded in knowledge work, raising concerns about growing dependency and the potential undermining of human skills. To investigate the pervasiveness of LLMs in work practices, we conducted a four-day diary study with frequent LLM users (N=10), observing how knowledge workers responded to a temporary withdrawal of LLMs. Our findings show how LLM withdrawal disrupted participants' workflows by identifying gaps in task execution, how self-directed work led participants to reclaim professional values, and how everyday practices revealed the extent to which LLM use had become inescapably normative. Conceptualizing LLMs as infrastructural to contemporary knowledge work, this research contributes empirical insights into the often invisible role of LLMs and proposes value-driven appropriation as an approach to supporting professional values in the current LLM-pervasive work environment.

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