DadgogoAI Dictionary

Dictionary entry

AI fatigue

noun \ˌā-ˈī fə-ˈtēg\

also artificial intelligence fatigue

TopicCulture & Big Ideas Senses1
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Definition of AI fatigue

  1. : mental, emotional, or motivational exhaustion and disengagement associated with sustained AI use, rapid changes in AI tools, or continuing pressure to adopt and monitor them

    • Employees reported AI fatigue after being asked to learn a new assistant every few weeks while still checking every generated answer.
    • The school reduced AI fatigue by consolidating its tools and making clear when students were not expected to use them.

Origin & history

AI fatigue appeared in workplace and technology discussions by 2024 as organizations confronted repeated waves of generative-AI products and adoption campaigns. During 2026, researchers began defining the concept more systematically and developing scales that distinguish cognitive overload, motivational disengagement, moral unease, physical strain, and attentional drift.

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Related terms

AI fluency the practical ability to work productively, critically, and responsibly with AI systems across… AI literacy the knowledge and skills needed to understand, use, and critically evaluate AI systems… AI deskilling the weakening, narrowing, or failure to develop human skills when AI performs parts of a task… cognitive debt the long-term cost to your own thinking skills that may build up when you hand writing… AI exposure the estimated degree to which the tasks in a job, occupation, industry, or economy could be… workslop AI-generated work, such as reports, memos, emails, or slides, that looks polished but lacks…

Cite this entry

"AI fatigue." AI Dictionary, Dadgogo, https://dadgogo.com/dictionary/ai-fatigue/. Accessed 9 Oct. 2026.

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