W4285303940 Working papers AI × management and organizations

AI Adoption in a Competitive Market

Joshua S. Gans

Also recorded as: doi:10.2139/ssrn.4088838 · ssrn:4088838

ssrn abstract page · 2022-05-11

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 firms using AI for demand prediction, treats adoption as complementary to variable inputs such as labor, and reports adoption externalities plus generally lower prices and higher consumer surplus in the long run.

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

Scope: theoretical competitive-market model

Structured relationships

In-corpus citations

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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 was not inspected.
  • The claim is model-based; the abstract does not report an empirical validation.

Source independence

ssrn-only