Extension: Trust as a Scarce Resource: Verification Scarcity, the Competence Trap, and the Economics of Governed AI

Record: kaal:position:2026-08-08-341 · 2026-08-08

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.

Affirmed commentary position. This record extends a source-bound scholarly claim but is not a verbatim paper claim.

Holds when

The response is limited to the exact Crossref-deposited SSRN abstract passages and the one mapped Kaal claim.
External evidence level: complete Crossref-deposited SSRN abstract with concordant Crossref DOI, title, author, deposited date, and OpenAlex record. SSRN PDF access returned HTTP 403.
Mapping review tier: independent substantive scholarly-growth extension.
The record is posted SSRN content and is not classified as peer reviewed.
The SSRN PDF returned HTTP 403, so the retained evidence is limited to the complete Crossref-deposited abstract.
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.
The paper presents an organizational model rather than field evidence.
Semantic Scholar returned HTTP 429. No blocked response was promoted.

Current debate

Trust as a Scarce Resource: Verification Scarcity, the Competence Trap, and the Economics of Governed AI

Scholarly basis

kaal:claim:7261481-006
Wulf A. Kaal, Computative Economics: A Framework for Economic Analysis under Computational Abundance (2026). SSRN: https://ssrn.com/abstract=7261481
Source PDF sha256: 78c42db521624f7398717732a7fa51a6e3157a5adf02a2e09fbab15e0cf920d9

Evidence and mapping

Evidence: complete Crossref-deposited SSRN abstract with concordant Crossref DOI, title, author, deposited date, and OpenAlex record. SSRN PDF access returned HTTP 403
Review tier: independent substantive scholarly-growth extension
Mapping confidence: 0.97
Mapping ambiguous: false

Topics

economics institutional-design ai-and-agents scholarly-growth-coverage scholarly-literature verification organizational-design ai-governance evidence-provenance

Provenance

Affirmed in kaal-review:2026-08-13:scholarly-growth-7261481-006-reviewed-v3 on 2026-08-08. Review record.

Verify

Canonical markdown sha256: b4fae02be121ec151bd5f35080b3760bf042a61344b872fa2b8212d8f438b371
curl -s https://wulfkaal.github.io/positions/2026-08-08-341.md | sha256sum