Claim LD02-HQ-C13 (v1.0)

Across three company field experiments with 4,867 software developers, access to an AI coding assistant increased completed tasks by 26.08% on average; less-experienced developers adopted the tool more and gained more.

Provenance and status

Claim type: ESTIMATE (as printed: “ESTIMATE”)
Publication status: ELIGIBLE (INSTITUTIONAL_POSITION) (as printed: “ELIGIBLE WITH INSTITUTIONAL-POSITION QUALIFIER”)
Verification state: CONTENT_VERIFIED_PRIMARY (as printed: “CONTENT VERIFIED”; verified by: UNKNOWN)
Does not license: Developer employment decline; defect/quality effect beyond measured endpoints; all coding contexts
Source (field 6, as printed): Cui et al., “The Effects of Generative AI on High-Skilled Work,” Management Science, 2026
Source type (field 7): PEER_REVIEWED_JOURNAL_ARTICLE (as printed: “Peer-reviewed journal article”)
Institutional position: Mixed; includes Microsoft Research affiliation
Maturity (claim evidence / publication maturity): MATURE (as printed: “MATURE”)
Recorded date: 2026-09-25
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--LD02-HQ-C13.

Versions:v1.0 · current

Pinned Sources (field 6, version-specific)

“Cui et al., “The Effects of Generative AI on High-Skilled Work,” Management Science, 2026” → SRC-LD02-CUI-MANAGEMENT-SCIENCE-2026--v1.0 — Cui et al., “The Effects of Generative AI on High-Skilled Work,” Management Science, 2026; class PEER_REVIEWED_JOURNAL_ARTICLE (explicit public provenance pin)

Read the originals

SRC-LD02-CUI-MANAGEMENT-SCIENCE-2026: open the original

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	LD02-HQ-C13	—
2	PUBLIC-FACING CLAIM	Across three company field experiments with 4,867 software developers, access to an AI coding assistant increased completed tasks by 26.08% on average; less-experienced developers adopted the tool more and gained more.	—
3	CLAIM TYPE	ESTIMATE	base_types: ESTIMATE
4	RESEARCH STRAND	B — Task-level productivity and quality	—
5	MATURITY	MATURE	states: MATURE
6	SOURCE	Cui et al., “The Effects of Generative AI on High-Skilled Work,” Management Science, 2026	source_ids: SRC-LD02-CUI-MANAGEMENT-SCIENCE-2026
7	SOURCE TYPE	Peer-reviewed journal article	classes: PEER_REVIEWED_JOURNAL_ARTICLE
8	INSTITUTIONAL POSITION	Mixed; includes Microsoft Research affiliation	—
9	SCOPE	Three company developer experiments	—
10	DESIGN	Randomised field experiments	—
11	SAMPLE / DATASET	4,867 developers	—
12	MODEL / TOOL / VERSION	AI coding assistant / GitHub Copilot environment	—
13	COMPARATOR	Randomised no-access/control	—
14	MAIN RESULT	+26.08% completed tasks pooled; SE 10.3%; larger gains for less-experienced developers	—
15	INFERENTIAL TARGET	Developer task-output effect of assigned AI access	—
16	DOES NOT LICENSE	Developer employment decline; defect/quality effect beyond measured endpoints; all coding contexts	—
17	VERIFICATION STATE	CONTENT VERIFIED	state: CONTENT_VERIFIED_PRIMARY · verified_by: UNKNOWN
18	LIMITATIONS	Individual experiments noisy; selected companies; institutional-position disclosure required	—
19	CONTRADICTORY / SUPPORTING SOURCES	Consistent with novice-gain pattern in customer support	—
20	GEOGRAPHY / LANGUAGE	Multicompany / English	—
21	DISTRIBUTIONAL LEDGER	Less-experienced developers benefit more	—
22	R01 / FIELD-MAP LINKS	D2, L-A, R-2	—
23	WHAT WOULD CHANGE THIS CLAIM?	Larger preregistered replications showing materially different pooled effect	—
24	PUBLICATION STATUS	ELIGIBLE WITH INSTITUTIONAL-POSITION QUALIFIER	state: ELIGIBLE · qualifiers: INSTITUTIONAL_POSITION
25	RECORDED DATE	2026-09-25	—

Field 22 references resolved against Field Map v0.2: D2 (DOMAIN); L-A (LENS); R-2 (LENS)

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 c6943f1a47871fb0f9671519a39d5e4b078a6faae81b41b3c774f2ce436d40de.

Frozen Drive-derived inputs

R05 — LD-02 Canonical Claim Ledger v1.0 — LOCKED (v1.0) — Drive ID 1y7Iid5SaEnjKaPZ7ZsSSVj8dASVlSF8b; revision: NOT_EXPOSED_BY_DRIVE_TEXT_EXPORT; Drive modified ; block “ENTRY 13 — LD02-HQ-C13” SHA-256 f2ab1309c158023c682585ce9ec112037df9e27fcae3507246301e87e8f5d53f; SocioLens — Programme Status & Authority Register v0.6 status “CURRENT.”; frozen fixture fixtures/frozen/r05-ld02-claim-ledger-v1.0-canonical.

Builder decisions (not Drive data)

VERSION = v1.0 — basis: Claim version taken from the locked R05 canonical ledger v1.0; HQ-ESC-sociolens-ld02-t6-20261011T133040Z-01 ruling 1 authorizes completion of its existing canonical claim corpus. This is the first materialized version of this logical Claim, not a research update.
CURRENT_POINTER = true — basis: SocioLens — Programme Status & Authority Register v0.6 status for "R05 — LD-02 Canonical Claim Ledger v1.0 — LOCKED": "CURRENT."
FIELD_6_SOURCE_REFERENCE = SRC-LD02-CUI-MANAGEMENT-SCIENCE-2026--v1.0 — basis: field 6 of ENTRY 13 — LD02-HQ-C13 cites "Cui et al., “The Effects of Generative AI on High-Skilled Work,” Management Science, 2026"; HQ-ESC-sociolens-ld02-t6-20261011T133040Z-01 ruling 5: this exact frozen field-6 citation segment selects SRC-LD02-CUI-MANAGEMENT-SCIENCE-2026--v1.0 under ruling 4; identity established by B3 lines 76–102 and the pinned R05 ledger fields 6/7/8.
SOURCE_PROVENANCE_PIN = SRC-LD02-CUI-MANAGEMENT-SCIENCE-2026--v1.0 — basis: HQ-ESC-sociolens-ld02-t6-20261011T133040Z-01 ruling 5 / Publication System Amendment v1.2 §§4,6: explicit version-pinned public provenance selection of SRC-LD02-CUI-MANAGEMENT-SCIENCE-2026--v1.0 for LD02-HQ-C13--v1.0. Preserve the canonical qualification and independently authorized Source metadata.