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Claim LD02-HQ-C12 (v1.0)

In the final QJE study of one customer-support firm, AI assistance raised issues successfully resolved per hour by 15% on average, with substantially larger gains for lower-skill and less-experienced agents.

Provenance and status

Claim type
Estimate
Publication status
Eligible for publication
Verification state
Checked against the primary source. 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
Wage effect; headcount effect; economy-wide productivity; all occupations
Limitations
Single firm/workflow; treatment/model vintage
Source (as cited)
Brynjolfsson, Li & Raymond, “Generative AI at Work,” Quarterly Journal of Economics 140(2), 2025
Source type
Peer-reviewed journal article (recorded as “Peer-reviewed journal article”)
Institutional position
Independent academic
Maturity of the evidence
Mature evidence
Recorded date
25 September 2026
Currentness / correction
This is the current version. No correction or concern is recorded on its sources.

Sources this version cites

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 (as printed: “ELIGIBLE”)
Verification state (coded)
CONTENT_VERIFIED_PRIMARY
Source type (coded)
PEER_REVIEWED_JOURNAL_ARTICLE
Maturity (coded)
MATURE
#Canonical fieldCanonical value (verbatim)Normalized (Claim Value Vocabulary v1.0.2)
1CLAIM IDLD02-HQ-C12—
2PUBLIC-FACING CLAIMIn the final QJE study of one customer-support firm, AI assistance raised issues successfully resolved per hour by 15% on average, with substantially larger gains for lower-skill and less-experienced agents.—
3CLAIM TYPEESTIMATEbase_types: ESTIMATE
4RESEARCH STRANDB — Task-level productivity and quality—
5MATURITYMATUREstates: MATURE
6SOURCEBrynjolfsson, Li & Raymond, “Generative AI at Work,” Quarterly Journal of Economics 140(2), 2025source_ids: SRC-LD02-BRYNJOLFSSON-LI-RAYMOND-2025
7SOURCE TYPEPeer-reviewed journal articleclasses: PEER_REVIEWED_JOURNAL_ARTICLE
8INSTITUTIONAL POSITIONIndependent academic—
9SCOPEOne large customer-support organisation—
10DESIGNStaggered rollout / quasi-experimental workplace study—
11SAMPLE / DATASET5,172 agents and firm operational logs—
12MODEL / TOOL / VERSIONGPT-based generative-AI assistant—
13COMPARATORNot-yet-treated agents—
14MAIN RESULT+15% resolved issues per hour; larger gains among less-experienced/lower-skill agents; evidence of learning and improved customer sentiment—
15INFERENTIAL TARGETTask/workflow productivity effect—
16DOES NOT LICENSEWage effect; headcount effect; economy-wide productivity; all occupations—
17VERIFICATION STATECONTENT VERIFIEDstate: CONTENT_VERIFIED_PRIMARY · verified_by: UNKNOWN
18LIMITATIONSSingle firm/workflow; treatment/model vintage—
19CONTRADICTORY / SUPPORTING SOURCESConsistent with Cui and inside-frontier Dell’Acqua—
20GEOGRAPHY / LANGUAGEUS firm / English—
21DISTRIBUTIONAL LEDGERLower-skill/novice workers gain more—
22R01 / FIELD-MAP LINKSD2, L-A, R-2—
23WHAT WOULD CHANGE THIS CLAIM?Multi-firm replication with materially different effect or decay over time—
24PUBLICATION STATUSELIGIBLEstate: ELIGIBLE
25RECORDED DATE2026-09-25—

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

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

Pinned Sources (field 6, version-specific)

  • “Brynjolfsson, Li & Raymond, “Generative AI at Work,” Quarterly Journal of Economics 140(2), 2025” → Brynjolfsson et al. (2025), “Generative AI at Work” (SRC-LD02-BRYNJOLFSSON-LI-RAYMOND-2025--v1.0) — Brynjolfsson, Li & Raymond, “Generative AI at Work,” Quarterly Journal of Economics 140(2), 2025; class PEER_REVIEWED_JOURNAL_ARTICLE (explicit public provenance pin)

Cited by Living Debate versions

Cite this page

SocioLens project. (2026, September 25). In the final QJE study of one customer-support firm, AI assistance raised issues successfully resolved per hour by 15% on average, with substantially larger gains for lower-skill and less-experienced agents [Claim LD02-HQ-C12, version v1.0]. SocioLens. https://sociolens-web.pages.dev/claims/ld02-hq-c12/v1.0/

@misc{sociolens_ld02_hq_c12_v1_0,
  author = {{SocioLens project}},
  title = {In the final QJE study of one customer-support firm, AI assistance raised issues successfully resolved per hour by 15\% on average, with substantially larger gains for lower-skill and less-experienced agents.},
  year = {2026},
  date = {2026-09-25},
  howpublished = {\url{https://sociolens-web.pages.dev/claims/ld02-hq-c12/v1.0/}},
  note = {Claim LD02-HQ-C12, 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 59def8feaa232a235d7e28578c64903ee9823affe2ff30f16bf3bcacddba82de.

Frozen Drive-derived inputs

  • R05 — LD-02 Canonical Claim Ledger v1.0 — LOCKED (v1.0) — Drive ID 1XS3OTYh1ZGBSlD3Dev0-5KtGds0abk1qX_24-8lVDqM; revision: NOT_EXPOSED_BY_DRIVE_TEXT_EXPORT; Drive modified 2026-09-25T18:38:36.597Z; block “ENTRY 12 — LD02-HQ-C12” SHA-256 6a4d76af2cfaa0ac05d11248a275aeb17dfb8dad66731489f8b63a0fd013c6d2; SocioLens — Programme Status & Authority Register v0.6 status “CURRENT.”; frozen fixture fixtures/frozen/r05-ld02-claim-ledger-v1.0.
  • SocioLens — Proof Source Registry v0.4 (v0.4) — Drive ID 1_-GLmj6PfetWDQH2KldMv-61vmSmzdAyyxgZZZCFnbE; revision: NOT_EXPOSED_BY_DRIVE_TEXT_EXPORT; Drive modified 2026-09-27T19:04:00.374Z; block “REGISTRY ENTRY SRC-LD02-BRYNJOLFSSON-LI-RAYMOND-2025” SHA-256 c9f6348bbaf404dfd172abc89e06115b531a6b40eb1f37ab7b3554a0c3cd5aad; SocioLens — Programme Status & Authority Register v0.6 status “CURRENT PROOF SOURCE REGISTRY.”; frozen fixture fixtures/frozen/proof-source-registry-v0.4.

Builder decisions (not Drive data)

  • VERSION = v1.0 — basis: Claim version taken from the canonical ledger artifact version (R05 — LD-02 Canonical Claim Ledger v1.0); Implementation Architecture Selection §5 logical_id/version convention.
  • 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-BRYNJOLFSSON-LI-RAYMOND-2025--v1.0 — basis: field 6 of ENTRY 12 — LD02-HQ-C12 cites "Brynjolfsson, Li & Raymond, “Generative AI at Work,” Quarterly Journal of Economics 140(2), 2025"; Builder identification: the cited work is Proof Source Registry v0.4 identity SRC-LD02-BRYNJOLFSSON-LI-RAYMOND-2025 (canonical label "Brynjolfsson, Li & Raymond, “Generative AI at Work,” Quarterly Journal of Economics 140(2), 2025"), Registry-linked to this logical Claim; SocioLens record v1.0 is its sole record.
  • SOURCE_PROVENANCE_PIN = SRC-LD02-BRYNJOLFSSON-LI-RAYMOND-2025--v1.0 — basis: Issue #5 proof rendering (Architecture Proof Protocol v0.1 AP-08 / Amendment v1.2 §6): explicit version-pinned public provenance of this ClaimVersion — the pinned field-6 Source record.