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 "name": "Computational Ai Output Makes Institutional Verification Scarce",
 "text": "Dogonowski identifies a corresponding institutional constraint in AI deployment. Computational capability scales faster than an organization's capacity to validate AI-mediated outputs. The model therefore treats verification, not generation, as the binding constraint on safe deployment and shows how costly verification can produce a stable zero-verification equilibrium. This independently extends Kaal's proposition that abundant individual computation can relocate boundedness to institutional verification capacity. The evidence is limited to a posted organizational model. It does not establish that computation exceeds every decision requirement, or that aggregation and collective action are the only remaining constraints.",
 "author": {
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  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0009-0008-7840-1847"
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  "Mapping review tier: independent substantive scholarly-growth extension.",
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  "The model does not establish that computation exceeds every decision requirement.",
  "The source directly supports institutional verification scarcity but does not establish that aggregation and collective action are the only remaining constraints.",
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  "name": "Trust as a Scarce Resource: Verification Scarcity, the Competence Trap, and the Economics of Governed AI",
  "url": "https://doi.org/10.2139/ssrn.6942138"
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  "identifier": "kaal:claim:7261481-006",
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  "citation": "Wulf A. Kaal, Computative Economics: A Framework for Economic Analysis under Computational Abundance (2026). SSRN: https://ssrn.com/abstract=7261481",
  "paper": "Wulf A. Kaal, Computative Economics: A Framework for Economic Analysis under Computational Abundance",
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