In US Census administrative data, regression-adjusted employment of workers aged 22–24 in the most AI-exposed industry-state cells fell 12% over 10 quarters after ChatGPT, with reduced hiring the primary mechanism.

SocioLens project,

Claim LD02-HQ-C05 (v1.0)

Provenance and status

Claim type: Estimate
Publication status: Eligible for publication, with qualifiers: working paper, exposure
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: Claim that layoffs caused the decline; clean causal attribution of all 12% to AI; aggregate job loss
Limitations: Exposure not treatment; COVID-era pre-trend shifts; macro/monetary confounding
Source (as cited): Tucker, “You’re (not) Hired,” US Census CES-WP-26-27, April 2026
Source type: Working paper (recorded as “Government working paper”)
Institutional position: Government research
Maturity of the evidence: Emerging 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

Tucker, “You’re (not) Hired,” US Census CES-WP-26-27, April 2026 (Working paper)
Read the original

Version

This page shows version v1.0. Its record never changes, even when newer evidence arrives; the site may add a note to the page or withhold a figure not cleared for public use.

This pinned version is also the current version.

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
Source type (coded): WORKING_PAPER
Maturity (coded): EMERGING

#	Canonical field	Canonical value (verbatim)	Normalized (Claim Value Vocabulary v1.0.2)
1	CLAIM ID	LD02-HQ-C05	—
2	PUBLIC-FACING CLAIM	In US Census administrative data, regression-adjusted employment of workers aged 22–24 in the most AI-exposed industry-state cells fell 12% over 10 quarters after ChatGPT, with reduced hiring the primary mechanism.	—
3	CLAIM TYPE	ESTIMATE	base_types: ESTIMATE
4	RESEARCH STRAND	D — Hiring, entry and career ladders	—
5	MATURITY	EMERGING	states: EMERGING
6	SOURCE	Tucker, “You’re (not) Hired,” US Census CES-WP-26-27, April 2026	source_ids: SRC-LD02-TUCKER-CES-26-27
7	SOURCE TYPE	Government working paper	classes: WORKING_PAPER
8	INSTITUTIONAL POSITION	Government research	—
9	SCOPE	US private sector; ages 22–24; industry-state exposure cells; post-ChatGPT 10-quarter horizon	—
10	DESIGN	Difference-in-differences / event-study / triple-difference using exposure measures	—
11	SAMPLE / DATASET	Quarterly Workforce Indicators / LEHD administrative data	—
12	MODEL / TOOL / VERSION	Industry AI-exposure index validated against BTOS use	—
13	COMPARATOR	Less-exposed industry-state cells and older workers	—
14	MAIN RESULT	Regression-adjusted employment −12% over 10 quarters; hiring decline is the main channel; hiring rate later partly recovers on a smaller employment base	—
15	INFERENTIAL TARGET	Exposure-associated early-career entry/employment effect	—
16	DOES NOT LICENSE	Claim that layoffs caused the decline; clean causal attribution of all 12% to AI; aggregate job loss	—
17	VERIFICATION STATE	CONTENT VERIFIED	state: CONTENT_VERIFIED_PRIMARY · verified_by: UNKNOWN
18	LIMITATIONS	Exposure not treatment; COVID-era pre-trend shifts; macro/monetary confounding	—
19	CONTRADICTORY / SUPPORTING SOURCES	Canaries and graduate paper support; Norway contrasts	—
20	GEOGRAPHY / LANGUAGE	US / English	—
21	DISTRIBUTIONAL LEDGER	22–24-year-olds bear the largest identified effect	—
22	R01 / FIELD-MAP LINKS	D2, D4b, L-A, R-1	—
23	WHAT WOULD CHANGE THIS CLAIM?	Stronger pre-trend adjustments remove effect or direct-use measures fail to reproduce it	—
24	PUBLICATION STATUS	ELIGIBLE WITH WORKING-PAPER / EXPOSURE QUALIFIER	state: ELIGIBLE · qualifiers: WORKING_PAPER, EXPOSURE
25	RECORDED DATE	2026-09-25	—

Field 22 references resolved against Field Map v0.2: D2 (DOMAIN); D4b (SUB_AREA); L-A (LENS); R-1 (LENS)

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

Pinned Sources (field 6, version-specific)

“Tucker, “You’re (not) Hired,” US Census CES-WP-26-27, April 2026” → Tucker (2026), “You’re (not) Hired” (SRC-LD02-TUCKER-CES-26-27--v1.0) — Tucker, “You’re (not) Hired,” US Census CES-WP-26-27, April 2026; class WORKING_PAPER (explicit public provenance pin)

Cited by Living Debate versions

Cite this page

SocioLens project. (2026, September 25). In US Census administrative data, regression-adjusted employment of workers aged 22–24 in the most AI-exposed industry-state cells fell 12% over 10 quarters after ChatGPT, with reduced hiring the primary mechanism [Claim LD02-HQ-C05, version v1.0]. SocioLens. https://sociolens-web.pages.dev/claims/ld02-hq-c05/v1.0/

@misc{sociolens_ld02_hq_c05_v1_0,
  author = {{SocioLens project}},
  title = {In US Census administrative data, regression-adjusted employment of workers aged 22–24 in the most AI-exposed industry-state cells fell 12\% over 10 quarters after ChatGPT, with reduced hiring the primary mechanism.},
  year = {2026},
  date = {2026-09-25},
  howpublished = {\url{https://sociolens-web.pages.dev/claims/ld02-hq-c05/v1.0/}},
  note = {Claim LD02-HQ-C05, 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 189e54d2a9c3892e6384e361ad016292945eb45e67ec9b4ef0f688e66a08e101.

Frozen Drive-derived inputs

R05 — LD-02 Canonical Claim Ledger v1.0 — LOCKED (v1.0) — Drive ID 1y7Iid5SaEnjKaPZ7ZsSSVj8dASVlSF8b; revision: NOT_EXPOSED_BY_DRIVE_TEXT_EXPORT; Drive modified ; block “ENTRY 05 — LD02-HQ-C05” SHA-256 933eb0a6afc34d97ef42c8f1d9362d86c8d6be8880e9eabe4cfafda5e6e28f60; SocioLens — Programme Status & Authority Register v0.6 status “CURRENT.”; frozen fixture fixtures/frozen/r05-ld02-claim-ledger-v1.0-canonical.

Builder decisions (not Drive data)

VERSION = v1.0 — basis: Claim version taken from the locked R05 canonical ledger v1.0; HQ-ESC-sociolens-ld02-t6-20261011T133040Z-01 ruling 1 authorizes completion of its existing canonical claim corpus. This is the first materialized version of this logical Claim, not a research update.
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-TUCKER-CES-26-27--v1.0 — basis: field 6 of ENTRY 05 — LD02-HQ-C05 cites "Tucker, “You’re (not) Hired,” US Census CES-WP-26-27, April 2026"; HQ-ESC-sociolens-ld02-t6-20261011T133040Z-01 ruling 5: this exact frozen field-6 citation segment selects SRC-LD02-TUCKER-CES-26-27--v1.0 under ruling 4; identity established by B2 lines 68–104 and the pinned R05 ledger fields 6/7/8.
SOURCE_PROVENANCE_PIN = SRC-LD02-TUCKER-CES-26-27--v1.0 — basis: HQ-ESC-sociolens-ld02-t6-20261011T133040Z-01 ruling 5 / Publication System Amendment v1.2 §§4,6: explicit version-pinned public provenance selection of SRC-LD02-TUCKER-CES-26-27--v1.0 for LD02-HQ-C05--v1.0. Preserve the canonical qualification and independently authorized Source metadata.