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Claim LD03-SL-C16 (v1.0)

In a preregistered field experiment with 791 professionals at Procter & Gamble, individuals working with AI matched the performance of teams working without it on product-innovation challenges, and AI helped bridge the gap between R&D and commercial staff.

Provenance and status

Claim type
ESTIMATE (as printed: “ESTIMATE”)
Publication status
ELIGIBLE (QUALIFIED) (as printed: “ELIGIBLE WITH QUALIFIER”)
Verification state
CONTENT_VERIFIED_PRIMARY (ABSTRACT_ONLY) (as printed: “CONTENT VERIFIED ABSTRACT”; verified by: UNKNOWN)
Does not license
Sustained operational outcomes; firm performance
Source (field 6, as printed)
Dell’Acqua, Ayoubi, Lifshitz et al., “The Cybernetic Teammate: A Field Experiment on Generative AI and Teamwork,” Organization Science 37(4), 2026
Source type (field 7)
PEER_REVIEWED_JOURNAL_ARTICLE (as printed: “Peer-reviewed journal article”)
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

Pinned version v1.0 (entry LD03-SL-C16--v1.0) — this page never floats to newer evidence.

This pinned version is also the current version.

Versions:v1.0 · current

Pinned Sources (field 6, version-specific)

All 25 canonical Claim fields (raw values and normalized values)
#Canonical fieldCanonical value (verbatim)Normalized (Claim Value Vocabulary v1.0.2)
1CLAIM IDLD03-SL-C16—
2PUBLIC-FACING CLAIMIn a preregistered field experiment with 791 professionals at Procter & Gamble, individuals working with AI matched the performance of teams working without it on product-innovation challenges, and AI helped bridge the gap between R&D and commercial staff.—
3CLAIM TYPEESTIMATEbase_types: ESTIMATE
4RESEARCH STRANDC — Work reorganization and verification—
5MATURITYEMERGINGstates: EMERGING
6SOURCEDell’Acqua, Ayoubi, Lifshitz et al., “The Cybernetic Teammate: A Field Experiment on Generative AI and Teamwork,” Organization Science 37(4), 2026source_ids: SRC-SL-DELLACQUA-ET-AL-ORGANIZATION-SCIENCE-37-4-2026
7SOURCE TYPEPeer-reviewed journal articleclasses: PEER_REVIEWED_JOURNAL_ARTICLE
8INSTITUTIONAL POSITIONIndependent academic—
9SCOPEProduct-innovation challenges at one consumer-goods firm—
10DESIGNPreregistered randomized field experiment, 2×2 (AI or not, individual or team)—
11SAMPLE / DATASET791 professionals—
12MODEL / TOOL / VERSIONGenerative AI (model not checked)—
13COMPARATORIndividuals and teams without AI—
14MAIN RESULTIndividuals with AI perform at the level of teams without AI; AI bridges functional silos; more positive emotional responses; human judgement still matters in selecting ideas—
15INFERENTIAL TARGETWhether AI substitutes for or changes the organization of teamwork on a bounded task—
16DOES NOT LICENSESustained operational outcomes; firm performance—
17VERIFICATION STATECONTENT VERIFIED ABSTRACTstate: CONTENT_VERIFIED_PRIMARY · qualifiers: ABSTRACT_ONLY · verified_by: UNKNOWN
18LIMITATIONSChecked against the official abstract only, read in the Crossref record on 15 October 2026; bounded innovation challenges, not routine operations—
19CONTRADICTORY / SUPPORTING SOURCESRaises an organizational-design question that the individual-provision trial does not test—
20GEOGRAPHY / LANGUAGENot checked / English—
21DISTRIBUTIONAL LEDGERNot analysed in this claim—
22R01 / FIELD-MAP LINKSLD-03, D2—
23WHAT WOULD CHANGE THIS CLAIM?Full-text reading, or evidence from sustained operational work—
24PUBLICATION STATUSELIGIBLE WITH QUALIFIERstate: ELIGIBLE · qualifiers: QUALIFIED
25RECORDED DATE2026-10-15—

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

Cited by Living Debate versions

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 038c8f5828228c07a39c2bb50fae8969a39ee4f9c4766fba4dd2e18be211dcd5.

Repository-authored inputs (not Drive exports)

  • SocioLens claim — LD03-SL-C16 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 16 — LD03-SL-C16” SHA-256 a54b32bf9bdbb9baae1db293d1bf73c4100f77e1b1a12fa391563dc7603bd87f; fixture fixtures/authored/claims/LD03-SL-C16--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-C16 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-C16 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-DELLACQUA-ET-AL-ORGANIZATION-SCIENCE-37-4-2026--v1.0 — basis: field 6 of ENTRY 16 — LD03-SL-C16 cites "Dell’Acqua, Ayoubi, Lifshitz et al., “The Cybernetic Teammate: A Field Experiment on Generative AI and Teamwork,” Organization Science 37(4), 2026"; the only field-6 segment of this ClaimVersion's repository-authored ledger block.
  • SOURCE_PROVENANCE_PIN = SRC-SL-DELLACQUA-ET-AL-ORGANIZATION-SCIENCE-37-4-2026--v1.0 — basis: explicit version-pinned public provenance of this ClaimVersion (Amendment v1.2 §6): the pinned field-6 Source record "Dell’Acqua, Ayoubi, Lifshitz et al., “The Cybernetic Teammate: A Field Experiment on Generative AI and Teamwork,” Organization Science 37(4), 2026".