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.

SocioLens project,

Claim LD04-SL-C16 (v1.0)

Provenance and status

Claim type: Estimate
Publication status: Eligible for publication, with qualifiers: working paper, exposure
Verification state: Checked against the abstract of the primary source only. 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: Measured AI use by employers; causal job loss among young workers
Limitations: Working 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
Source (as cited): 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: Working paper (recorded as “Academic working paper”)
Institutional position: Independent academic
Maturity of the evidence: Emerging evidence
Recorded date: 14 October 2026
Currentness / correction: This is the current version. No correction or concern is recorded on its sources.

Sources this version 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 (Working paper)
No checked link to the original yet.

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 (WORKING_PAPER, EXPOSURE) (as printed: “ELIGIBLE WITH WORKING-PAPER / EXPOSURE QUALIFIER”)
Verification state (coded): CONTENT_VERIFIED_PRIMARY (ABSTRACT_ONLY)
Source type (coded): WORKING_PAPER
Maturity (coded): EMERGING

#	Canonical field	Canonical value (verbatim)	Normalized (Claim Value Vocabulary v1.0.2)
1	CLAIM ID	LD04-SL-C16	—
2	PUBLIC-FACING CLAIM	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.	—
3	CLAIM TYPE	ESTIMATE	base_types: ESTIMATE
4	RESEARCH STRAND	C — Entry, apprenticeship and returns to experience	—
5	MATURITY	EMERGING	states: EMERGING
6	SOURCE	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_ids: SRC-SL-LODEFALK-LOTHMAN-KOCH-ENGBERG-ORU-WP-2-2026
7	SOURCE TYPE	Academic working paper	classes: WORKING_PAPER
8	INSTITUTIONAL POSITION	Independent academic	—
9	SCOPE	Sweden; job ads from the largest recruitment platform and full-population employer–employee registers	—
10	DESIGN	Employer-level difference-in-differences across six age groups; timing test using the gap between the first Riksbank rate rise and ChatGPT’s release	—
11	SAMPLE / DATASET	4.6 million job ads; population registers	—
12	MODEL / TOOL / VERSION	Occupational AI exposure	—
13	COMPARATOR	Less-exposed occupations within the same employers	—
14	MAIN RESULT	Posting 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	—
15	INFERENTIAL TARGET	Age gradient in employment by occupational AI exposure	—
16	DOES NOT LICENSE	Measured AI use by employers; causal job loss among young workers	—
17	VERIFICATION STATE	CONTENT VERIFIED ABSTRACT	state: CONTENT_VERIFIED_PRIMARY · qualifiers: ABSTRACT_ONLY · verified_by: UNKNOWN
18	LIMITATIONS	Working 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	—
19	CONTRADICTORY / SUPPORTING SOURCES	Non-US corroboration of a young-worker gap in exposed occupations; contrasts with Norwegian near-zero differences (LD-02)	—
20	GEOGRAPHY / LANGUAGE	Sweden / Not checked	—
21	DISTRIBUTIONAL LEDGER	Young workers in exposed occupations lose relative to older workers	—
22	R01 / FIELD-MAP LINKS	LD-04, LD-02, D2	—
23	WHAT WOULD CHANGE THIS CLAIM?	Firm-level AI-use data, or later data in which the age gap closes	—
24	PUBLICATION STATUS	ELIGIBLE WITH WORKING-PAPER / EXPOSURE QUALIFIER	state: ELIGIBLE · qualifiers: WORKING_PAPER, EXPOSURE
25	RECORDED DATE	2026-10-14	—

Field 22 references resolved against Field Map v0.2: LD-04 (LIVING_DEBATE); LD-02 (LIVING_DEBATE); D2 (DOMAIN)

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

Pinned Sources (field 6, version-specific)

“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” → Lodefalk et al. (2026), “Same Storm, Different Boats…” (SRC-SL-LODEFALK-LOTHMAN-KOCH-ENGBERG-ORU-WP-2-2026--v1.0) — 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; class WORKING_PAPER (explicit public provenance pin)

Cited by Living Debate versions

Cite this page

SocioLens project. (2026, October 14). 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 [Claim LD04-SL-C16, version v1.0]. SocioLens. https://sociolens-web.pages.dev/claims/ld04-sl-c16/v1.0/

@misc{sociolens_ld04_sl_c16_v1_0,
  author = {{SocioLens project}},
  title = {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.},
  year = {2026},
  date = {2026-10-14},
  howpublished = {\url{https://sociolens-web.pages.dev/claims/ld04-sl-c16/v1.0/}},
  note = {Claim LD04-SL-C16, 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 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".