Claim LD02-HQ-C18 (v1.0)
As of September 2026, Budget Lab monitoring finds no clear broad US employment, unemployment or occupational-mix footprint attributable to AI, while explicitly warning that effects concentrated in narrow subgroups may be missed by broad CPS measures.
Provenance and status
- Claim type
- ESTIMATE (DESCRIPTIVE, MONITORING) (as printed: “ESTIMATE (DESCRIPTIVE / MONITORING)”)
- Publication status
- ELIGIBLE (MONITORING, BROAD_SCOPE) (as printed: “ELIGIBLE WITH BROAD-MONITORING QUALIFIER”)
- Verification state
- CONTENT_VERIFIED_PRIMARY (as printed: “CONTENT VERIFIED”; verified by: UNKNOWN)
- Does not license
- No entry-level effect; no future effect; proof that US AI has no employment consequences
- Source (field 6, as printed)
- The Budget Lab at Yale, “Tracking the Impact of AI on the Labor Market,” updated 15 September 2026; methods/update material May 2026
- Source type (field 7)
- POLICY_RESEARCH_OR_MONITORING (as printed: “Independent think-tank / academic monitoring”)
- Institutional position
- Independent non-partisan research group
- Maturity (claim evidence / publication maturity)
- RAPIDLY_MATURING (as printed: “RAPIDLY MATURING”)
- Recorded date
- 2026-09-25
- Currentness / correction
- This is the current version. No correction or concern relation is recorded on its Sources.
Version
Pinned version v1.0 (entry LD02-HQ-C18--v1.0) — this page never floats to newer evidence.
This pinned version is also the current version.
Pinned Sources (field 6, version-specific)
- “The Budget Lab at Yale, “Tracking the Impact of AI on the Labor Market,” updated 15 September 2026” → SRC-LD02-YALE-BUDGET-LAB-TRACKER-2026-09-15--v1.0 — The Budget Lab at Yale, “Tracking the Impact of AI on the Labor Market,” updated 15 September 2026; class POLICY_RESEARCH_OR_MONITORING (explicit public provenance pin)
- “methods/update material May 2026” → SRC-LD02-YALE-BUDGET-LAB-METHODS-2026-05-07--v1.0 — The Budget Lab at Yale, “What We Do and Don’t Know About How AI is Affecting the Labor Market,” 7 May 2026; class POLICY_RESEARCH_OR_MONITORING (explicit public provenance pin)
Read the originals
- SRC-LD02-YALE-BUDGET-LAB-TRACKER-2026-09-15: open the original
- SRC-LD02-YALE-BUDGET-LAB-METHODS-2026-05-07: 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-C18 | — |
| 2 | PUBLIC-FACING CLAIM | As of September 2026, Budget Lab monitoring finds no clear broad US employment, unemployment or occupational-mix footprint attributable to AI, while explicitly warning that effects concentrated in narrow subgroups may be missed by broad CPS measures. | — |
| 3 | CLAIM TYPE | ESTIMATE (DESCRIPTIVE / MONITORING) | base_types: ESTIMATE · qualifiers: DESCRIPTIVE, MONITORING |
| 4 | RESEARCH STRAND | E — Wages, hours, employment and transitions | — |
| 5 | MATURITY | RAPIDLY MATURING | states: RAPIDLY_MATURING |
| 6 | SOURCE | The Budget Lab at Yale, “Tracking the Impact of AI on the Labor Market,” updated 15 September 2026; methods/update material May 2026 | source_ids: SRC-LD02-YALE-BUDGET-LAB-TRACKER-2026-09-15, SRC-LD02-YALE-BUDGET-LAB-METHODS-2026-05-07 |
| 7 | SOURCE TYPE | Independent think-tank / academic monitoring | classes: POLICY_RESEARCH_OR_MONITORING |
| 8 | INSTITUTIONAL POSITION | Independent non-partisan research group | — |
| 9 | SCOPE | US broad labour market through September 2026 | — |
| 10 | DESIGN | Occupational-mix tracking and synthetic difference-in-differences using exposure/use measures | — |
| 11 | SAMPLE / DATASET | Current Population Survey and related exposure/use inputs | — |
| 12 | MODEL / TOOL / VERSION | Multiple AI exposure/use measures | — |
| 13 | COMPARATOR | Pre-AI occupational trends / exposure groups | — |
| 14 | MAIN RESULT | No clear broad labour-market footprint yet; narrow recent-graduate/cohort effects may be below CPS resolution | — |
| 15 | INFERENTIAL TARGET | Broad economy-wide observable labour-market disruption | — |
| 16 | DOES NOT LICENSE | No entry-level effect; no future effect; proof that US AI has no employment consequences | — |
| 17 | VERIFICATION STATE | CONTENT VERIFIED | state: CONTENT_VERIFIED_PRIMARY · verified_by: UNKNOWN |
| 18 | LIMITATIONS | CPS power for narrow groups; exposure measurement; remote-work/cyclical confounds | — |
| 19 | CONTRADICTORY / SUPPORTING SOURCES | Compatible with Canaries/Tucker if effects are narrow entry margins | — |
| 20 | GEOGRAPHY / LANGUAGE | US / English | — |
| 21 | DISTRIBUTIONAL LEDGER | Broad aggregates may conceal cohort-specific divergence | — |
| 22 | R01 / FIELD-MAP LINKS | D2, L-A, L-B, R-1 | — |
| 23 | WHAT WOULD CHANGE THIS CLAIM? | Broad employment/unemployment/occupational-mix changes become statistically aligned with AI exposure/use | — |
| 24 | PUBLICATION STATUS | ELIGIBLE WITH BROAD-MONITORING QUALIFIER | state: ELIGIBLE · qualifiers: MONITORING, BROAD_SCOPE |
| 25 | RECORDED DATE | 2026-09-25 | — |
Field 22 references resolved against Field Map v0.2: D2 (DOMAIN); L-A (LENS); L-B (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 ed955fbaed61fe1a482ae330cfe1d1e4f9d6f5e4b862a710c04d902cef6e1a7a.
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 18 — LD02-HQ-C18” SHA-2560eebf38e56d1162e8385d8618dd9fabc61c9470973d8d39798b3786c8d5b71fe; SocioLens — Programme Status & Authority Register v0.6 status “CURRENT.”; frozen fixturefixtures/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-YALE-BUDGET-LAB-TRACKER-2026-09-15--v1.0 — basis: field 6 of ENTRY 18 — LD02-HQ-C18 cites "The Budget Lab at Yale, “Tracking the Impact of AI on the Labor Market,” updated 15 September 2026"; HQ-ESC-sociolens-ld02-t6-20261011T133040Z-01 ruling 5: this exact frozen field-6 citation segment selects SRC-LD02-YALE-BUDGET-LAB-TRACKER-2026-09-15--v1.0 under ruling 4; identity established by B1 lines 158–186 and the pinned R05 ledger fields 6/7/8.
- FIELD_6_SOURCE_REFERENCE = SRC-LD02-YALE-BUDGET-LAB-METHODS-2026-05-07--v1.0 — basis: field 6 of ENTRY 18 — LD02-HQ-C18 cites "methods/update material May 2026"; HQ-ESC-sociolens-ld02-t6-20261011T133040Z-01 ruling 5: this exact frozen field-6 citation segment selects SRC-LD02-YALE-BUDGET-LAB-METHODS-2026-05-07--v1.0 under ruling 4; identity established by B1 lines 158–186 and the pinned R05 ledger fields 6/7/8.
- SOURCE_PROVENANCE_PIN = SRC-LD02-YALE-BUDGET-LAB-TRACKER-2026-09-15--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-YALE-BUDGET-LAB-TRACKER-2026-09-15--v1.0 for LD02-HQ-C18--v1.0. Preserve the canonical qualification and independently authorized Source metadata.
- SOURCE_PROVENANCE_PIN = SRC-LD02-YALE-BUDGET-LAB-METHODS-2026-05-07--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-YALE-BUDGET-LAB-METHODS-2026-05-07--v1.0 for LD02-HQ-C18--v1.0. Preserve the canonical qualification and independently authorized Source metadata.