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.

SocioLens project,

Claim LD03-SL-C16 (v1.0)

Research opportunities this claim motivates

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

Does deploying AI to whole teams change the work that individual licences did not?On product-innovation challenges at Procter & Gamble, individuals with AI matched teams without it; this manipulates team composition on a bounded task, not ongoing deployment to existing units.

Provenance and status

Claim type: Estimate
Publication status: Eligible for publication, with a qualifier
Verification state: Checked against the abstract of the primary source only. Who checked this claim is not recorded for it; claim checks so far were AI-led, and no person has checked claims against their sources.
Does not license: Sustained operational outcomes; firm performance
Limitations: Checked against the official abstract only, read in the Crossref record on 15 October 2026; bounded innovation challenges, not routine operations
Source (as cited): Dell’Acqua, Ayoubi, Lifshitz et al., “The Cybernetic Teammate: A Field Experiment on Generative AI and Teamwork,” Organization Science 37(4), 2026
Source type: Peer-reviewed journal article (recorded as “Peer-reviewed journal article”)
Institutional position: Independent academic
Maturity of the evidence: Emerging evidence
Recorded date: 15 October 2026
Currentness / correction: This is the current version. No correction or concern is recorded on its sources.

Sources this version cites

Dell’Acqua, Ayoubi, Lifshitz et al., “The Cybernetic Teammate: A Field Experiment on Generative AI and Teamwork,” Organization Science 37(4), 2026 (Peer-reviewed journal article)
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Version

This is the current version, v1.0. Earlier versions stay available, and their records never change.

Versions: v1.0 · current

Raw record: every recorded field, with its coded values

All 25 canonical Claim fields, verbatim, with the coded values derived from them. The plain-language labels above are read from these.

Claim type (coded): ESTIMATE (as printed: “ESTIMATE”)
Publication status (coded): ELIGIBLE (QUALIFIED) (as printed: “ELIGIBLE WITH QUALIFIER”)
Verification state (coded): CONTENT_VERIFIED_PRIMARY (ABSTRACT_ONLY)
Source type (coded): PEER_REVIEWED_JOURNAL_ARTICLE
Maturity (coded): EMERGING

#	Canonical field	Canonical value (verbatim)	Normalized (Claim Value Vocabulary v1.0.2)
1	CLAIM ID	LD03-SL-C16	—
2	PUBLIC-FACING CLAIM	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.	—
3	CLAIM TYPE	ESTIMATE	base_types: ESTIMATE
4	RESEARCH STRAND	C — Work reorganization and verification	—
5	MATURITY	EMERGING	states: EMERGING
6	SOURCE	Dell’Acqua, Ayoubi, Lifshitz et al., “The Cybernetic Teammate: A Field Experiment on Generative AI and Teamwork,” Organization Science 37(4), 2026	source_ids: SRC-SL-DELLACQUA-ET-AL-ORGANIZATION-SCIENCE-37-4-2026
7	SOURCE TYPE	Peer-reviewed journal article	classes: PEER_REVIEWED_JOURNAL_ARTICLE
8	INSTITUTIONAL POSITION	Independent academic	—
9	SCOPE	Product-innovation challenges at one consumer-goods firm	—
10	DESIGN	Preregistered randomized field experiment, 2×2 (AI or not, individual or team)	—
11	SAMPLE / DATASET	791 professionals	—
12	MODEL / TOOL / VERSION	Generative AI (model not checked)	—
13	COMPARATOR	Individuals and teams without AI	—
14	MAIN RESULT	Individuals 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	—
15	INFERENTIAL TARGET	Whether AI substitutes for or changes the organization of teamwork on a bounded task	—
16	DOES NOT LICENSE	Sustained operational outcomes; firm performance	—
17	VERIFICATION STATE	CONTENT VERIFIED ABSTRACT	state: CONTENT_VERIFIED_PRIMARY · qualifiers: ABSTRACT_ONLY · verified_by: UNKNOWN
18	LIMITATIONS	Checked against the official abstract only, read in the Crossref record on 15 October 2026; bounded innovation challenges, not routine operations	—
19	CONTRADICTORY / SUPPORTING SOURCES	Raises an organizational-design question that the individual-provision trial does not test	—
20	GEOGRAPHY / LANGUAGE	Not checked / English	—
21	DISTRIBUTIONAL LEDGER	Not analysed in this claim	—
22	R01 / FIELD-MAP LINKS	LD-03, D2	—
23	WHAT WOULD CHANGE THIS CLAIM?	Full-text reading, or evidence from sustained operational work	—
24	PUBLICATION STATUS	ELIGIBLE WITH QUALIFIER	state: ELIGIBLE · qualifiers: QUALIFIED
25	RECORDED DATE	2026-10-15	—

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

The sources as recorded, with their record IDs and coded source types:

Pinned Sources (field 6, version-specific)

“Dell’Acqua, Ayoubi, Lifshitz et al., “The Cybernetic Teammate: A Field Experiment on Generative AI and Teamwork,” Organization Science 37(4), 2026” → Dell’Acqua et al. (2026), “The Cybernetic Teammate: A…” (SRC-SL-DELLACQUA-ET-AL-ORGANIZATION-SCIENCE-37-4-2026--v1.0) — Dell’Acqua, Ayoubi, Lifshitz et al., “The Cybernetic Teammate: A Field Experiment on Generative AI and Teamwork,” Organization Science 37(4), 2026; class PEER_REVIEWED_JOURNAL_ARTICLE (explicit public provenance pin)

Cited by Living Debate versions

Organizational absorption: Why micro gains do not become macro outcomes (v0.1) LD-03

Cite this page

SocioLens project. (2026, October 15). 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 [Claim LD03-SL-C16, version v1.0]. SocioLens. https://sociolens-web.pages.dev/claims/ld03-sl-c16/v1.0/

@misc{sociolens_ld03_sl_c16_v1_0,
  author = {{SocioLens project}},
  title = {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.},
  year = {2026},
  date = {2026-10-15},
  howpublished = {\url{https://sociolens-web.pages.dev/claims/ld03-sl-c16/v1.0/}},
  note = {Claim LD03-SL-C16, version v1.0}
}

The link points to this version, whose record never changes. For a finding, cite the original study as well: SocioLens summarizes research and does not replace it.

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".