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CONCEPT

Crisis Becomes the Ordinary

The temporal mechanism by which crises delivered through habitual media—initial shock, rapid normalization, absorption into background—render urgent transformations ordinary before institutional responses form.
Crisis becomes the ordinary through the mechanism of habituation operating on information delivered continuously through digital channels. The first notification produces alarm; the hundredth produces a glance; the thousandth produces nothing—not because the crisis has resolved but because the nervous system has adapted to the stimulus and no longer registers it as extraordinary. The AI moment entered public consciousness as crisis—"SaaSpocalypse," "Death Cross," "the ground is moving." But the crisis arrived through the same channels (X posts, Substack essays, conference talks, podcast streams) that deliver every other piece of content. Arriving through these channels, the crisis is subject to the same temporal dynamics: spike of attention, habituation through repetition, absorption into the ordinary. The mechanism does not discriminate by importance; it responds to frequency. A stimulus encountered daily will be habituated regardless of objective significance. By the time institutions mobilize to respond, the population has already habituated the crisis into background—the urgency that drives policy action has decayed faster than policy can act.
Crisis Becomes the Ordinary
Crisis Becomes the Ordinary

In The You On AI Field Guide

Chun's diagnosis of crisis-normalization builds on Rob Nixon's concept of slow violence—harm that unfolds gradually, out of sight, in ways that resist dramatic representation. But Chun identifies a paradoxical inversion: AI's crisis is fast violence (capability thresholds crossed in months), yet it is being habituated as though it were slow because it arrives through media architectures designed for continuous stimulation. The twenty-four-hour news cycle, the social feed, the push notification—each delivers crisis as a stream rather than as an event. And a stream, by its nature, habituates. The crisis that demanded everything last month becomes the background noise this month.

Segal's orange pill—the moment of recognition that something has genuinely changed and you cannot unsee it—is, in Chun's framework, an attempt to produce de-habituation: a rupture in the ordinary that forces the reader to see what habituation has rendered invisible. The attempt is sincere and valuable. But Chun's analysis predicts that de-habituation is temporary. The rupture will heal. The ordinary will reassert itself. The senior developers who fled to the woods in February 2026 had stopped posting by May; the discourse had moved on; the crisis had become background. Not because it was solved but because the audience had adapted to the stimulus.

Habitual New Media
Habitual New Media

The policy implications are severe. If the AI moment requires sustained institutional response—educational reform, governance frameworks, economic redistribution—then the habituation of the crisis threatens the response more fundamentally than any technical obstacle. The crisis cannot be addressed if it cannot be sustained as a crisis. The EU AI Act, American executive orders, organizational AI Practice protocols all exhibit the temporal mismatch Chun predicts: crisis communicated through channels that habituate urgency, received by populations trained to normalize alarm, producing responses that operate on bureaucratic timescales structurally incompatible with the speed of the change they address. The gap between crisis-tempo and response-tempo is widening, not closing, because habituation accelerates while deliberation does not.

Origin

Chun's analysis of crisis-normalization synthesizes media theory (McLuhan on the "massage" of continuous stimulation), critical theory (Agamben on the state of exception becoming permanent), and neuroscience (habituation as an evolved protective mechanism preventing overwhelm). Her distinctive contribution is specifying the temporal architecture: digital media deliver crisis continuously, which produces habituation through frequency regardless of content. The mechanism is biological (nervous system adaptation), technological (stream-based delivery), and economic (attention economy rewards novelty, producing pressure to generate continuous crisis-content that accelerates the habituation it depends on).

Key Ideas

Habituation through frequency, not insignificance. Important stimuli habituate as reliably as unimportant ones when delivered continuously—the mechanism responds to rhythm of exposure, not to significance of what is exposed.

Stream-delivery produces normalization. Crisis delivered as continuous stream rather than discrete event loses capacity to shock through the sheer accumulation of exposures—the hundredth alarm is background noise.

Slow Violence
Slow Violence

De-habituation is temporary. Moments that rupture the ordinary and force recognition (the orange pill) produce genuine awareness, but the awareness fades through the same mechanism that produced the original habituation—repetition, reward, return to automatic.

Institutional lag compounds through habituation. The gap between crisis-speed and response-speed is widened by the audience's habituation to the crisis—by the time institutions mobilize, the population has normalized the alarm and withdrawn the urgency that drives action.

The tools accelerate their own normalization. Builders using AI to write about AI's transformation are habituating the very revolution they describe—the daily productive engagement renders the extraordinary capability ordinary through the mechanism of repeated use.

Further Reading

  1. Wendy Hui Kyong Chun, Updating to Remain the Same: Habitual New Media (MIT Press, 2016)
  2. Rob Nixon, Slow Violence and the Environmentalism of the Poor (Harvard, 2011)
  3. Giorgio Agamben, State of Exception (Chicago, 2005)
  4. Jaron Lanier, Ten Arguments for Deleting Your Social Media Accounts Right Now (Henry Holt, 2018)
  5. Douglas Rushkoff, Present Shock: When Everything Happens Now (Current, 2013)
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