Claim LD03-SL-C05 (v1.0)
In a survey of nearly 750 corporate executives, the authors find positive labour-productivity gains from AI, reflecting revenue-based total factor productivity and expected to strengthen in 2026, but report a productivity paradox: executives perceive larger gains than are measured, which the authors attribute to a delay in revenue realizations.
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
- Economy-wide productivity; a causal estimate
- Source (field 6, as printed)
- Baslandze, Edwards, Graham et al., “Artificial Intelligence, Productivity, and the Workforce: Evidence from Corporate Executives,” NBER Working Paper 34984, March 2026
- Source type (field 7)
- WORKING_PAPER (as printed: “Academic working paper”)
- Institutional position
- Mixed
- 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-C05--v1.0) — this page never floats to newer evidence.
This pinned version is also the current version.
Pinned Sources (field 6, version-specific)
- “Baslandze, Edwards, Graham et al., “Artificial Intelligence, Productivity, and the Workforce: Evidence from Corporate Executives,” NBER Working Paper 34984, March 2026” → SRC-SL-BASLANDZE-ET-AL-NBER-34984--v1.0 — Baslandze, Edwards, Graham et al., “Artificial Intelligence, Productivity, and the Workforce: Evidence from Corporate Executives,” NBER Working Paper 34984, March 2026; class WORKING_PAPER (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-C05 | — |
| 2 | PUBLIC-FACING CLAIM | In a survey of nearly 750 corporate executives, the authors find positive labour-productivity gains from AI, reflecting revenue-based total factor productivity and expected to strengthen in 2026, but report a productivity paradox: executives perceive larger gains than are measured, which the authors attribute to a delay in revenue realizations. | — |
| 3 | CLAIM TYPE | ESTIMATE | base_types: ESTIMATE |
| 4 | RESEARCH STRAND | B — Firm and executive outcomes | — |
| 5 | MATURITY | EMERGING | states: EMERGING |
| 6 | SOURCE | Baslandze, Edwards, Graham et al., “Artificial Intelligence, Productivity, and the Workforce: Evidence from Corporate Executives,” NBER Working Paper 34984, March 2026 | source_ids: SRC-SL-BASLANDZE-ET-AL-NBER-34984 |
| 7 | SOURCE TYPE | Academic working paper | classes: WORKING_PAPER |
| 8 | INSTITUTIONAL POSITION | Mixed | — |
| 9 | SCOPE | Firms surveyed through their executives (country not stated in the abstract) | — |
| 10 | DESIGN | Executive survey | — |
| 11 | SAMPLE / DATASET | Nearly 750 corporate executives | — |
| 12 | MODEL / TOOL / VERSION | AI in general | — |
| 13 | COMPARATOR | Measured productivity gains, as the authors define them | — |
| 14 | MAIN RESULT | Perceived productivity gains exceed measured gains; gains reflect revenue-based total factor productivity rather than capital deepening; labour-productivity gains expected to strengthen in 2026; little evidence of near-term aggregate employment declines | — |
| 15 | INFERENTIAL TARGET | The gap between perceived and measured firm-level productivity gains | — |
| 16 | DOES NOT LICENSE | Economy-wide productivity; a causal estimate | — |
| 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 on the NBER page on 15 October 2026; how 'measured' gains are defined and the survey vehicle were not read in full text | — |
| 19 | CONTRADICTORY / SUPPORTING SOURCES | Consistent with executives elsewhere reporting little realized impact; matches the absorption-lag reading | — |
| 20 | GEOGRAPHY / LANGUAGE | Not checked / English | — |
| 21 | DISTRIBUTIONAL LEDGER | Larger firms anticipate workforce reductions; smaller firms expect modest gains | — |
| 22 | R01 / FIELD-MAP LINKS | LD-03, D2 | — |
| 23 | WHAT WOULD CHANGE THIS CLAIM? | Full-text reading of how measured gains are built, or later revenue data closing the gap | — |
| 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)
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 ac6d87dcdbc8b9c68ff4d45b75e2274426a16097e43791439fc541d098f41c33.
Repository-authored inputs (not Drive exports)
- SocioLens claim — LD03-SL-C05 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 05 — LD03-SL-C05” SHA-256
fff12cea3c0b1ac9337f3eb1e4ed050454959614c70d1a698bfba4f770dabee2; fixturefixtures/authored/claims/LD03-SL-C05--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-C05 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-C05 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-BASLANDZE-ET-AL-NBER-34984--v1.0 — basis: field 6 of ENTRY 05 — LD03-SL-C05 cites "Baslandze, Edwards, Graham et al., “Artificial Intelligence, Productivity, and the Workforce: Evidence from Corporate Executives,” NBER Working Paper 34984, March 2026"; the only field-6 segment of this ClaimVersion's repository-authored ledger block.
- SOURCE_PROVENANCE_PIN = SRC-SL-BASLANDZE-ET-AL-NBER-34984--v1.0 — basis: explicit version-pinned public provenance of this ClaimVersion (Amendment v1.2 §6): the pinned field-6 Source record "Baslandze, Edwards, Graham et al., “Artificial Intelligence, Productivity, and the Workforce: Evidence from Corporate Executives,” NBER Working Paper 34984, March 2026".