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Claim LD04-SL-C16 (v1.0)

In Swedish job-ad and register data, the fall in job postings since 2022 tracks monetary tightening rather than AI, but within the same employers, workers aged 22–25 in highly AI-exposed occupations were 5.5% lower by early 2025 than in less-exposed occupations, while workers over 50 were 1.3% higher.

Provenance and status

Claim type
ESTIMATE (as printed: “ESTIMATE”)
Publication status
ELIGIBLE (WORKING_PAPER, EXPOSURE) (as printed: “ELIGIBLE WITH WORKING-PAPER / EXPOSURE QUALIFIER”)
Verification state
CONTENT_VERIFIED_PRIMARY (ABSTRACT_ONLY) (as printed: “CONTENT VERIFIED ABSTRACT”; verified by: UNKNOWN)
Does not license
Measured AI use by employers; causal job loss among young workers
Source (field 6, as printed)
Lodefalk, Löthman, Koch & Engberg, “Same Storm, Different Boats: Generative AI and the Age Gradient in Hiring,” Örebro University Working Paper 2/2026, version of 16 March 2026
Source type (field 7)
WORKING_PAPER (as printed: “Academic working paper”)
Institutional position
Independent academic
Maturity (claim evidence / publication maturity)
EMERGING (as printed: “EMERGING”)
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 v1.0 (entry LD04-SL-C16--v1.0) — this page never floats to newer evidence.

This pinned version is also the current version.

Versions:v1.0 · current

Pinned Sources (field 6, version-specific)

All 25 canonical Claim fields (raw values and normalized values)
#Canonical fieldCanonical value (verbatim)Normalized (Claim Value Vocabulary v1.0.2)
1CLAIM IDLD04-SL-C16—
2PUBLIC-FACING CLAIMIn Swedish job-ad and register data, the fall in job postings since 2022 tracks monetary tightening rather than AI, but within the same employers, workers aged 22–25 in highly AI-exposed occupations were 5.5% lower by early 2025 than in less-exposed occupations, while workers over 50 were 1.3% higher.—
3CLAIM TYPEESTIMATEbase_types: ESTIMATE
4RESEARCH STRANDC — Entry, apprenticeship and returns to experience—
5MATURITYEMERGINGstates: EMERGING
6SOURCELodefalk, Löthman, Koch & Engberg, “Same Storm, Different Boats: Generative AI and the Age Gradient in Hiring,” Örebro University Working Paper 2/2026, version of 16 March 2026source_ids: SRC-SL-LODEFALK-LOTHMAN-KOCH-ENGBERG-ORU-WP-2-2026
7SOURCE TYPEAcademic working paperclasses: WORKING_PAPER
8INSTITUTIONAL POSITIONIndependent academic—
9SCOPESweden; job ads from the largest recruitment platform and full-population employer–employee registers—
10DESIGNEmployer-level difference-in-differences across six age groups; timing test using the gap between the first Riksbank rate rise and ChatGPT’s release—
11SAMPLE / DATASET4.6 million job ads; population registers—
12MODEL / TOOL / VERSIONOccupational AI exposure—
13COMPARATORLess-exposed occupations within the same employers—
14MAIN RESULTPosting decline tracks monetary tightening; 22–25-year-olds in high-exposure occupations 5.5% lower by early 2025; over-50s +1.3%; no fall in aggregate labour demand—
15INFERENTIAL TARGETAge gradient in employment by occupational AI exposure—
16DOES NOT LICENSEMeasured AI use by employers; causal job loss among young workers—
17VERIFICATION STATECONTENT VERIFIED ABSTRACTstate: CONTENT_VERIFIED_PRIMARY · qualifiers: ABSTRACT_ONLY · verified_by: UNKNOWN
18LIMITATIONSWorking paper; exposure, not use; only the abstract and front matter were read; a related Swedish study (Engberg et al. 2025) finds AI-exposed establishments hired more—
19CONTRADICTORY / SUPPORTING SOURCESNon-US corroboration of a young-worker gap in exposed occupations; contrasts with Norwegian near-zero differences (LD-02)—
20GEOGRAPHY / LANGUAGESweden / Not checked—
21DISTRIBUTIONAL LEDGERYoung workers in exposed occupations lose relative to older workers—
22R01 / FIELD-MAP LINKSLD-04, LD-02, D2—
23WHAT WOULD CHANGE THIS CLAIM?Firm-level AI-use data, or later data in which the age gap closes—
24PUBLICATION STATUSELIGIBLE WITH WORKING-PAPER / EXPOSURE QUALIFIERstate: ELIGIBLE · qualifiers: WORKING_PAPER, EXPOSURE
25RECORDED DATE2026-10-14—

Field 22 references resolved against Field Map v0.2: LD-04 (LIVING_DEBATE); LD-02 (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 495d779961601b137a72da1bd445c889a2b795f68508b33a9b1c022b1aa9cd29.

Repository-authored inputs (not Drive exports)

  • SocioLens claim — LD04-SL-C16 v1.0 (v1.0) — 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 the Owner's choice in the SocioLens project chat on 14 October 2026 to build the LD-04 debate; a new Claim, first version, written from the project's LD-04 source notes, checked against full texts or official abstracts. Block “ENTRY 16 — LD04-SL-C16” SHA-256 30bc7c7c1966148d2cc56e89ea19b6b1f7035135728751a4f844258588825fa3; fixture fixtures/authored/claims/LD04-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 — LD04-SL-C16 v1.0); the first version of a new Claim of the LD-04 debate
  • CURRENT_POINTER = true — basis: repository-authored claim "SocioLens claim — LD04-SL-C16 v1.0" (Project Lead (Claude, AI), 2026-10-14); 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 14 October 2026 to build the LD-04 debate; a new Claim, first version, written from the project's LD-04 source notes, checked against full texts or official abstracts
  • FIELD_6_SOURCE_REFERENCE = SRC-SL-LODEFALK-LOTHMAN-KOCH-ENGBERG-ORU-WP-2-2026--v1.0 — basis: field 6 of ENTRY 16 — LD04-SL-C16 cites "Lodefalk, Löthman, Koch & Engberg, “Same Storm, Different Boats: Generative AI and the Age Gradient in Hiring,” Örebro University Working Paper 2/2026, version of 16 March 2026"; the only field-6 segment of this ClaimVersion's repository-authored ledger block.
  • SOURCE_PROVENANCE_PIN = SRC-SL-LODEFALK-LOTHMAN-KOCH-ENGBERG-ORU-WP-2-2026--v1.0 — basis: explicit version-pinned public provenance of this ClaimVersion (Amendment v1.2 §6): the pinned field-6 Source record "Lodefalk, Löthman, Koch & Engberg, “Same Storm, Different Boats: Generative AI and the Age Gradient in Hiring,” Örebro University Working Paper 2/2026, version of 16 March 2026".