Claim LD03-SL-C01 (v1.0)

In S&P 500 annual reports, 11% of firms had AI deeply integrated into their business processes in 2025 and a further 10% used it in production, against 5% in 2022; among non-technology firms profit margins dipped at the pilot stages and rose with deep integration, while revenue per employee showed no difference at the advanced stages.

Research opportunities this claim motivates

What this claim leaves open for research. Each is a hypothesis about a gap, not a finding.

Is there a generative-AI productivity J-curve inside firms?In S&P 500 annual reports, profit margins of non-technology firms dipped at pilot stages and rose with deep integration, while revenue per employee showed no difference at advanced stages.

Provenance and status

Claim type: ESTIMATE (as printed: “ESTIMATE”)
Publication status: ELIGIBLE (PREPRINT) (as printed: “ELIGIBLE WITH PREPRINT QUALIFIER”)
Verification state: CONTENT_VERIFIED_PRIMARY (PREPRINT) (as printed: “CONTENT VERIFIED PREPRINT”; verified by: UNKNOWN)
Does not license: A causal effect of adoption on profits or productivity; total factor productivity; firms outside the S&P 500
Source (field 6, as printed): Yu, Fleming, Hampton, Combemale & Thompson, “AI Adoption in S&P 500 Firms,” arXiv:2607.08920, July 2026
Source type (field 7): PREPRINT (as printed: “Preprint”)
Institutional position: Independent academic
Maturity (claim evidence / publication maturity): EMERGING (as printed: “EMERGING”)
Recorded date: 2026-10-15
Currentness / correction: This is the current version. No correction or concern relation is recorded on its Sources.

Version

Current version v1.0, resolved through the explicit current pointer CLAIM--LD03-SL-C01.

Versions:v1.0 · current

Pinned Sources (field 6, version-specific)

“Yu, Fleming, Hampton, Combemale & Thompson, “AI Adoption in S&P 500 Firms,” arXiv:2607.08920, July 2026” → SRC-SL-YU-FLEMING-HAMPTON-COMBEMALE-THOMPSON-ARXIV-2607-08920--v1.0 — Yu, Fleming, Hampton, Combemale & Thompson, “AI Adoption in S&P 500 Firms,” arXiv:2607.08920, July 2026; class PREPRINT (explicit public provenance pin)

All 25 canonical Claim fields (raw values and normalized values)

#	Canonical field	Canonical value (verbatim)	Normalized (Claim Value Vocabulary v1.0.2)
1	CLAIM ID	LD03-SL-C01	—
2	PUBLIC-FACING CLAIM	In S&P 500 annual reports, 11% of firms had AI deeply integrated into their business processes in 2025 and a further 10% used it in production, against 5% in 2022; among non-technology firms profit margins dipped at the pilot stages and rose with deep integration, while revenue per employee showed no difference at the advanced stages.	—
3	CLAIM TYPE	ESTIMATE	base_types: ESTIMATE
4	RESEARCH STRAND	A — Adoption and depth of use	—
5	MATURITY	EMERGING	states: EMERGING
6	SOURCE	Yu, Fleming, Hampton, Combemale & Thompson, “AI Adoption in S&P 500 Firms,” arXiv:2607.08920, July 2026	source_ids: SRC-SL-YU-FLEMING-HAMPTON-COMBEMALE-THOMPSON-ARXIV-2607-08920
7	SOURCE TYPE	Preprint	classes: PREPRINT
8	INSTITUTIONAL POSITION	Independent academic	—
9	SCOPE	S&P 500 firms, 2016–2025; adoption as described in 10-K filings	—
10	DESIGN	Descriptive panel; adoption scored from 10-K text on a five-level rubric by a language model and linked to accounting data	—
11	SAMPLE / DATASET	S&P 500 firms' annual reports, 2016–2025	—
12	MODEL / TOOL / VERSION	AI in general as firms describe it (rubric applied by GPT-5-mini)	—
13	COMPARATOR	Firms at lower adoption levels; firm and year fixed effects	—
14	MAIN RESULT	2025: 11% deep integration plus 10% production use (21%), from 5% in 2022; technology firms are about two-thirds of firms at the two highest levels; non-technology profit margins 2–3 points lower at exploration and pilot stages and 12.6 points higher with deep integration; revenue per employee significantly lower at exploration and pilot stages and not different at the advanced stages	—
15	INFERENTIAL TARGET	How deeply large listed firms integrate AI, and how that correlates with profitability and revenue per employee	—
16	DOES NOT LICENSE	A causal effect of adoption on profits or productivity; total factor productivity; firms outside the S&P 500	—
17	VERIFICATION STATE	CONTENT VERIFIED PREPRINT	state: CONTENT_VERIFIED_PRIMARY · qualifiers: PREPRINT · verified_by: UNKNOWN
18	LIMITATIONS	Descriptive, not causal (the authors say so and raise reverse causality); adoption is coded by a language model from what firms choose to write in filings; productivity is proxied by revenue per employee; the conclusion's 1% (2022) to 5.7% (2025) series is deep integration among non-technology, non-financial firms (the appendix 'All Other' row), against 11.4% for all firms in 2025; not peer reviewed	—
19	CONTRADICTORY / SUPPORTING SOURCES	Consistent with Census survey evidence of narrow firm adoption; the profit pattern matches the J-curve argument	—
20	GEOGRAPHY / LANGUAGE	US / English	—
21	DISTRIBUTIONAL LEDGER	Technology firms adopt far more deeply than others	—
22	R01 / FIELD-MAP LINKS	LD-03, D2	—
23	WHAT WOULD CHANGE THIS CLAIM?	A peer-reviewed version with different figures, or a measure of productivity beyond revenue per employee	—
24	PUBLICATION STATUS	ELIGIBLE WITH PREPRINT QUALIFIER	state: ELIGIBLE · qualifiers: PREPRINT
25	RECORDED DATE	2026-10-15	—

Field 22 references resolved against Field Map v0.2: LD-03 (LIVING_DEBATE); D2 (DOMAIN)

Cited by Living Debate versions

LD-03 v0.1

Research-of-record provenance

Materialized by sociolens-materializer 0.6.0 at 2026-09-28T20:00:00.000Z; normalization contract SocioLens — Claim Value Vocabulary v1.0.2 — Pre-Spike Materialization Contract (v1.0.2). Content seal SHA-256 8d48b09dc67cd7aca949eec7c65979f0d5184ad80f3804a1ecaae5934e594caa.

Repository-authored inputs (not Drive exports)

SocioLens claim — LD03-SL-C01 v1.0 (v1.0) — written in the SocioLens repository by Project Lead (Claude, AI) on 2026-10-15; no Drive identity exists. Authority: AGENTS.md "Authority" (the Project Lead decides research content within the research-integrity rules) and the Owner's choice in the SocioLens project chat on 15 October 2026 to build the LD-03 debate; a new Claim, first version, written from the project's LD-03 source notes, checked against full texts or official abstracts. Block “ENTRY 01 — LD03-SL-C01” SHA-256 c9aa86cced8c55e097a09f452402e71ed53b902b50d31f0090b54ea097b3bb8b; fixture fixtures/authored/claims/LD03-SL-C01--v1.0.

Builder decisions (not Drive data)

VERSION = v1.0 — basis: Claim version taken from the repository-authored claim fixture version (SocioLens claim — LD03-SL-C01 v1.0); the first version of a new Claim of the LD-03 debate
CURRENT_POINTER = true — basis: repository-authored claim "SocioLens claim — LD03-SL-C01 v1.0" (Project Lead (Claude, AI), 2026-10-15); basis: AGENTS.md "Authority" (the Project Lead decides research content within the research-integrity rules) and the Owner's choice in the SocioLens project chat on 15 October 2026 to build the LD-03 debate; a new Claim, first version, written from the project's LD-03 source notes, checked against full texts or official abstracts
FIELD_6_SOURCE_REFERENCE = SRC-SL-YU-FLEMING-HAMPTON-COMBEMALE-THOMPSON-ARXIV-2607-08920--v1.0 — basis: field 6 of ENTRY 01 — LD03-SL-C01 cites "Yu, Fleming, Hampton, Combemale & Thompson, “AI Adoption in S&P 500 Firms,” arXiv:2607.08920, July 2026"; the only field-6 segment of this ClaimVersion's repository-authored ledger block.
SOURCE_PROVENANCE_PIN = SRC-SL-YU-FLEMING-HAMPTON-COMBEMALE-THOMPSON-ARXIV-2607-08920--v1.0 — basis: explicit version-pinned public provenance of this ClaimVersion (Amendment v1.2 §6): the pinned field-6 Source record "Yu, Fleming, Hampton, Combemale & Thompson, “AI Adoption in S&P 500 Firms,” arXiv:2607.08920, July 2026".