W7171787403 Working papers AI × management and organizations

What Corporate AI Text Measures: A Multi-State Indicator of Corporate AI Diffusion

Fan Xia

Also recorded as: doi:10.2139/ssrn.7119778 · ssrn:7119778

ssrn abstract page · 2026-07-30

Recorded claims
1
coded from the inspected source
Evidence classes
1
ssrn-abstract-page
Recorded limitations
1
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 describes a three-state indicator separating substantiated focal-firm AI claims from weak or invalid claims. Its corpus contains 185,551 documents, including 138,606 documents within the active 2015–2025 listing intervals of 6,934 U.S. public firms, and it concludes that corporate text records disclosed evidence of technological activity rather than adoption itself.

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

Scope: 185,551 corporate documents; 138,606 documents for 6,934 U.S. public firms during active listing intervals from 2015 through 2025

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 classification materials not inspected

Source independence

ssrn-only