W7172328770 Working papers AI × management and organizations

AI-Delegated Search: Pricing, Search Quality, and Business Model Implications

Tat-How Teh · Hajime Shimao · Warut Khern-Am-Nuai

Also recorded as: doi:10.2139/ssrn.7152098 · ssrn:7152098

ssrn abstract page · 2026-08-04

Recorded claims
1
coded from the inspected source
Evidence classes
1
ssrn-abstract-page
Recorded limitations
2
stated, never hidden

From the hash-bound evidence releases

Recorded claims

Each claim states what the inspected source says, at the recorded location—bounded by its scope and graded by its confidence. Nothing here is a synthesis across works.

The abstract models consumers delegating sequential search to AI agents and reports that subscription versus usage pricing changes query incentives, provider search-quality choices, compute-cost alignment, profitability, and the effects of competition, advertising, and query caps.

confidence: high ssrn-abstract-page apw-e1-ssrn-backfill

Scope: AI-agent delegation, provider business models, pricing, search quality, and competition

Structured relationships

In-corpus citations

Only source-supplied cites relationships whose two endpoints are admitted are shown. Invocation evidence remains a separate relationship.

Cites (0)

No in-corpus outgoing citation is available in the current enrichment coverage.

Cited by (0)

No in-corpus incoming citation is available in the current enrichment coverage.

Boundaries

Limitations & independence

Recorded at coding time, carried with the work forever. A claim without its limits is not evidence.

Recorded limitations

  • Abstract-level evidence only; full text and derivations were not inspected.
  • The contribution is theoretical and the inspected abstract reports no empirical sample.

Source independence

ssrn-only