AI Fatigue
A sense of exhaustion from the nonstop wave of AI news, tools, and hype, leading to skepticism or disinterest.
Adoption
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Unknown
Adoption
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Unknown
AI Fatigue
Definition
n. The weariness or overwhelm people experience from the constant influx of AI developments, tools, and content, making it hard to keep up or stay enthusiastic. Overexposure to AI headlines, new releases, and “game-changing” promises can lead to skepticism, apathy, or even outright avoidance.
In workplaces, AI Fatigue manifests as burnout when employees feel pressured to integrate yet another AI tool without clear guidance or the bandwidth to adapt. Beyond the office, consumers inundated by AI-driven apps, synthetic media, and marketing hype may switch off from the conversation altogether.
Origins
The term surfaced in 2024 as a reflection of collective exhaustion. After a period of intense excitement and rapid adoption, many users and organizations began voicing frustration that “everything is AI now,” highlighting a longing for slower, more mindful innovation cycles.
Definition
n. The weariness or overwhelm people experience from the constant influx of AI developments, tools, and content, making it hard to keep up or stay enthusiastic. Overexposure to AI headlines, new releases, and “game-changing” promises can lead to skepticism, apathy, or even outright avoidance.
In workplaces, AI Fatigue manifests as burnout when employees feel pressured to integrate yet another AI tool without clear guidance or the bandwidth to adapt. Beyond the office, consumers inundated by AI-driven apps, synthetic media, and marketing hype may switch off from the conversation altogether.
Origins
The term surfaced in 2024 as a reflection of collective exhaustion. After a period of intense excitement and rapid adoption, many users and organizations began voicing frustration that “everything is AI now,” highlighting a longing for slower, more mindful innovation cycles.
Definition
n. The weariness or overwhelm people experience from the constant influx of AI developments, tools, and content, making it hard to keep up or stay enthusiastic. Overexposure to AI headlines, new releases, and “game-changing” promises can lead to skepticism, apathy, or even outright avoidance.
In workplaces, AI Fatigue manifests as burnout when employees feel pressured to integrate yet another AI tool without clear guidance or the bandwidth to adapt. Beyond the office, consumers inundated by AI-driven apps, synthetic media, and marketing hype may switch off from the conversation altogether.
Origins
The term surfaced in 2024 as a reflection of collective exhaustion. After a period of intense excitement and rapid adoption, many users and organizations began voicing frustration that “everything is AI now,” highlighting a longing for slower, more mindful innovation cycles.
