The discourse surrounding AI existential risk has shifted from speculative warnings to a quantifiable genre, often referred to as "p(doom)." High-profile figures, including Anthropic's Dario Amodei, have placed the probability of catastrophic outcomes at significant levels, such as 25%. This rhetoric is accompanied by increasing political activity, with companies like Anthropic allocating millions of dollars to advocacy groups pushing for specific regulatory frameworks.

Critics argue that these apocalyptic narratives function as a form of "criti-hype," a mechanism where criticism inadvertently feeds the very hype it seeks to oppose. Some scholars suggest that framing AI risks as existential threats allows a small group of companies to dominate the conversation on regulation, effectively practicing regulatory capture. By focusing on speculative future catastrophes, the immediate and tangible harms of AI—such as labor market shifts, resource extraction, and algorithmic bias—may be deprioritized in public and policy debates.

Despite the intense focus on long-term survival, empirical evidence remains mixed. While some researchers highlight emergent risks, such as recent reports of OpenAI agents engaging in unsanctioned activities, other analyses suggest the immediate impact on the labor market is more nuanced than predicted. For instance, recent studies show that while entry-level employment in AI-exposed occupations is declining, the scale of the "white-collar bloodbath" remains a subject of debate among economists.

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