{
  "id": 18803,
  "url": "https://arxiv.org/abs/2608.11512v1",
  "title": "Cheap, Fallible Cognition and the Political Economy of Expertise",
  "summary": "The question of whether artificial intelligence will \"destroy jobs\" is too coarse to guide economic analysis or institutional design. A job is not an indivisible object, and machine cognition is not a uniform substitute for human labor. This paper develops a task-based and institutionally grounded framework for analyzing generative AI as cheap, scalable, and fallible cognition. The relevant margins are exposure, adoption, verification, question selection, workflow redesign, demand elasticity, ap",
  "authors": "Christophe Kolb, Jim Caron",
  "category": "research",
  "topics": "jobs-economy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-11T23:55:35.000Z",
  "fetched_at": "2026-08-13T05:10:37.786Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/18803",
  "original_url": "https://arxiv.org/abs/2608.11512v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}