Claim LD02-HQ-C02 (v1.1)
In 11 AI-exposed Danish occupations, Humlum and Vestergaard estimate precise null effects on earnings and recorded hours two years after ChatGPT, ruling out effects larger than 2%.
Provenance and status
- Claim type
- ESTIMATE (as printed: “ESTIMATE”)
- Publication status
- ELIGIBLE (SCOPE) (as printed: “ELIGIBLE WITH SCOPE QUALIFIER”)
- Verification state
- CONTENT_VERIFIED_PRIMARY (as printed: “CONTENT VERIFIED”; verified by: UNKNOWN)
- Does not license
- Global aggregate null; no hiring effect; no task or occupational change
- Source (field 6, as printed)
- Humlum & Vestergaard, “Still Waters, Rapid Currents,” NBER Working Paper 33777, revised March 2026
- Source type (field 7)
- WORKING_PAPER (as printed: “Academic working paper”)
- Institutional position
- Independent academic
- Maturity (claim evidence / publication maturity)
- RAPIDLY_MATURING (as printed: “RAPIDLY MATURING”)
- Recorded date
- 2026-10-14
- Currentness / correction
- This is the current version. No correction or concern relation is recorded on its Sources.
Version
Pinned version v1.1 (entry LD02-HQ-C02--v1.1) — this page never floats to newer evidence.
This pinned version is also the current version.
What changed in this version
This version supersedes LD02-HQ-C02--v1.0, which stays available unchanged.
- Changed fields
- 19 CONTRADICTORY / SUPPORTING SOURCES; 21 DISTRIBUTIONAL LEDGER; 25 RECORDED DATE
- What changed
- The distributional ledger no longer says that an early-career earnings and hours null is reported. It now gives what the March 2026 revision of the paper reports for early-career workers (aged 22–25): their employment fell in several of the occupations, but their share of employment did not change differentially at workplaces that encourage chatbot use, with effects above about a third of a percentage point ruled out. The contradictory/supporting field now also notes the paper's workplace-level nulls for employment (total hours), job churn and the early-career share, and that Danmarks Nationalbank Working Paper 223 finds lower employment growth at AI-adopting firms. The public-facing claim, the 2% bound, the 11 occupations and the sample of about 25,000 workers in 7,000 workplaces are unchanged.
- Why
- A recheck on 14 October 2026 read the full text of NBER Working Paper 33777 as revised in March 2026 (retitled "Still Waters, Rapid Currents: Early Labor Market Transformation under Generative AI"; previously "Large Language Models, Small Labor Market Effects"). Version 1.0 was built from the paper's abstract, and the HQ batch notes left "full Humlum/Vestergaard early-career ... details" open. The full text reports early-career results only as the employment share at adopting workplaces (Section 3.4, footnote 21), not as earnings or hours, and the same section reports no differential change in workplace employment (total hours) or job churn. The main result is confirmed in the full text: confidence intervals rule out average earnings and hours effects larger than 2% two years after ChatGPT, in 11 occupations, with 25,000 workers across 7,000 workplaces in the late-2024 survey round. The recheck and this revision were done by an AI agent reading the paper, not by a person.
Pinned Sources (field 6, version-specific)
- “Humlum & Vestergaard, “Still Waters, Rapid Currents,” NBER Working Paper 33777, revised March 2026” → SRC-LD02-HUMLUM-VESTERGAARD-NBER-33777--v1.0 — Humlum & Vestergaard, “Still Waters, Rapid Currents,” NBER Working Paper 33777, revised March 2026; class WORKING_PAPER (explicit public provenance pin)
Read the originals
- SRC-LD02-HUMLUM-VESTERGAARD-NBER-33777: 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-C02 | — |
| 2 | PUBLIC-FACING CLAIM | In 11 AI-exposed Danish occupations, Humlum and Vestergaard estimate precise null effects on earnings and recorded hours two years after ChatGPT, ruling out effects larger than 2%. | — |
| 3 | CLAIM TYPE | ESTIMATE | base_types: ESTIMATE |
| 4 | RESEARCH STRAND | E — Wages, hours, employment and transitions | — |
| 5 | MATURITY | RAPIDLY MATURING | states: RAPIDLY_MATURING |
| 6 | SOURCE | Humlum & Vestergaard, “Still Waters, Rapid Currents,” NBER Working Paper 33777, revised March 2026 | source_ids: SRC-LD02-HUMLUM-VESTERGAARD-NBER-33777 |
| 7 | SOURCE TYPE | Academic working paper | classes: WORKING_PAPER |
| 8 | INSTITUTIONAL POSITION | Independent academic | — |
| 9 | SCOPE | Denmark; 11 AI-exposed occupations; roughly two-year post-ChatGPT horizon | — |
| 10 | DESIGN | Adoption surveys linked to administrative labour records; difference-in-differences | — |
| 11 | SAMPLE / DATASET | Approximately 25,000 workers / 7,000 workplaces linked to Danish administrative records | — |
| 12 | MODEL / TOOL / VERSION | ChatGPT and workplace chatbots, including in-house systems | — |
| 13 | COMPARATOR | Adopters/users vs relevant non-adopters/non-users under study design | — |
| 14 | MAIN RESULT | Earnings and recorded-hours effects are close to zero; effects larger than 2% are ruled out over the study horizon; tasks nevertheless reorganise | — |
| 15 | INFERENTIAL TARGET | Short-run incumbent earnings/hours effect | — |
| 16 | DOES NOT LICENSE | Global aggregate null; no hiring effect; no task or occupational change | — |
| 17 | VERIFICATION STATE | CONTENT VERIFIED | state: CONTENT_VERIFIED_PRIMARY · verified_by: UNKNOWN |
| 18 | LIMITATIONS | Denmark; selected exposed occupations; self-reported adoption/use; pre-agentic horizon | — |
| 19 | CONTRADICTORY / SUPPORTING SOURCES | Consistent with broad short-run nulls; the same paper also finds no differential change in employment (total hours), job churn or the early-career share at workplaces that encourage chatbot use through December 2024, while Nationalbank 2026 finds lower employment growth at AI-adopting firms by late 2025 with a different adoption measure, unit and horizon | — |
| 20 | GEOGRAPHY / LANGUAGE | Denmark / English | — |
| 21 | DISTRIBUTIONAL LEDGER | Early-career (22–25) employment fell in several of the occupations, but the early-career share did not change differentially at adopting workplaces (effects above about a third of a percentage point ruled out); adopters move into higher-paying occupations; no separate early-career earnings/hours estimate is reported | — |
| 22 | R01 / FIELD-MAP LINKS | D2, L-A, L-B, L-C, R-1 | — |
| 23 | WHAT WOULD CHANGE THIS CLAIM? | Later waves showing material divergence in earnings/hours | — |
| 24 | PUBLICATION STATUS | ELIGIBLE WITH SCOPE QUALIFIER | state: ELIGIBLE · qualifiers: SCOPE |
| 25 | RECORDED DATE | 2026-10-14 | — |
Field 22 references resolved against Field Map v0.2: D2 (DOMAIN); L-A (LENS); L-B (LENS); L-C (LENS); R-1 (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 08a743dbf02d72aac7b62c6c4f3b7583423cc1738274c6955819e6fc79c708bb.
Repository-authored inputs (not Drive exports)
- SocioLens claim revision — LD02-HQ-C02 v1.1 (v1.1) — written in the SocioLens repository by Project Lead (Claude, AI) on 2026-10-14; no Drive identity exists. Authority: AGENTS.md "Authority" (the Project Lead decides research content within the research-integrity rules) and docs/PROJECT.md "Research revisions" (a published claim changes only through a new version that states what changed and why). Block “ENTRY 02 — LD02-HQ-C02” SHA-256
ae3a0b088c9f80e16cd3d5ea4b350c6f7728833bc9d03d8dc43bcc13ad3ee743; fixturefixtures/authored/claim-revisions/LD02-HQ-C02--v1.1.
Builder decisions (not Drive data)
- VERSION = v1.1 — basis: Claim version taken from the repository-authored revision fixture version (SocioLens claim revision — LD02-HQ-C02 v1.1); a new version of LD02-HQ-C02 v1.0, which stays routable (AGENTS.md research integrity rule 3)
- CURRENT_POINTER = true — basis: repository-authored revision "SocioLens claim revision — LD02-HQ-C02 v1.1" (Project Lead (Claude, AI), 2026-10-14); basis: AGENTS.md "Authority" (the Project Lead decides research content within the research-integrity rules) and docs/PROJECT.md "Research revisions" (a published claim changes only through a new version that states what changed and why)
- FIELD_6_SOURCE_REFERENCE = SRC-LD02-HUMLUM-VESTERGAARD-NBER-33777--v1.0 — basis: field 6 of ENTRY 02 — LD02-HQ-C02 cites "Humlum & Vestergaard, “Still Waters, Rapid Currents,” NBER Working Paper 33777, revised March 2026"; the first field-6 segment of this ClaimVersion's repository-authored ledger block; the same Source record LD02-HQ-C02 v1.0 cites.
- SOURCE_PROVENANCE_PIN = SRC-LD02-HUMLUM-VESTERGAARD-NBER-33777--v1.0 — basis: explicit version-pinned public provenance of this ClaimVersion (Amendment v1.2 §6): the pinned field-6 Source record "Humlum & Vestergaard, “Still Waters, Rapid Currents,” NBER Working Paper 33777, revised March 2026".