Claim LD04-SL-C17 (v1.0)
Across 205 US occupations, those more exposed to AI already had higher experience premiums, and since 2022 higher AI exposure has gone with weaker wage growth only in occupations where the experience premium is low.
Provenance and status
- Claim type
- Estimate
- Publication status
- Eligible for publication, with a qualifier
- 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
- A widening junior–senior premium within occupations; individual wage effects; causation
- Limitations
- Occupation-level and correlational; does not observe junior and senior wages within occupations; the author’s reading (AI substitutes for book knowledge and complements tacit knowledge) is interpretation
- Source (as cited)
- Davis, “AI is simultaneously aiding and replacing workers, wage data suggest,” Federal Reserve Bank of Dallas, 24 February 2026
- Source type
- Policy research or monitoring report (recorded as “Central-bank research article”)
- Institutional position
- Central bank research
- 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
- Davis, “AI is simultaneously aiding and replacing workers, wage data suggest,” Federal Reserve Bank of Dallas, 24 February 2026 (Policy research or monitoring report)
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.
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 (QUALIFIED) (as printed: “ELIGIBLE WITH QUALIFIER”)
- Verification state (coded)
- CONTENT_VERIFIED_PRIMARY
- Source type (coded)
- POLICY_RESEARCH_OR_MONITORING
- Maturity (coded)
- EMERGING
| # | Canonical field | Canonical value (verbatim) | Normalized (Claim Value Vocabulary v1.0.2) |
|---|---|---|---|
| 1 | CLAIM ID | LD04-SL-C17 | — |
| 2 | PUBLIC-FACING CLAIM | Across 205 US occupations, those more exposed to AI already had higher experience premiums, and since 2022 higher AI exposure has gone with weaker wage growth only in occupations where the experience premium is low. | — |
| 3 | CLAIM TYPE | ESTIMATE | base_types: ESTIMATE |
| 4 | RESEARCH STRAND | C — Entry, apprenticeship and returns to experience | — |
| 5 | MATURITY | EMERGING | states: EMERGING |
| 6 | SOURCE | Davis, “AI is simultaneously aiding and replacing workers, wage data suggest,” Federal Reserve Bank of Dallas, 24 February 2026 | source_ids: SRC-SL-DAVIS-DALLAS-FED-2026-02-24 |
| 7 | SOURCE TYPE | Central-bank research article | classes: POLICY_RESEARCH_OR_MONITORING |
| 8 | INSTITUTIONAL POSITION | Central bank research | — |
| 9 | SCOPE | 205 US occupations; post-2022 wage growth | — |
| 10 | DESIGN | Occupation-level regression of wage growth on AI exposure interacted with the experience premium | — |
| 11 | SAMPLE / DATASET | BLS modelled wage estimates | — |
| 12 | MODEL / TOOL / VERSION | Occupational AI exposure | — |
| 13 | COMPARATOR | Less-exposed occupations | — |
| 14 | MAIN RESULT | No overall link between exposure and post-2022 wage growth; experience premium (median 40%) correlates positively with exposure; at a 0% premium, +1 SD exposure goes with −0.28 points of wage growth; at the median −0.05 (not significant); at the 90th percentile +0.2 | — |
| 15 | INFERENTIAL TARGET | Whether AI exposure relates to wage growth differently by the value of experience | — |
| 16 | DOES NOT LICENSE | A widening junior–senior premium within occupations; individual wage effects; causation | — |
| 17 | VERIFICATION STATE | CONTENT VERIFIED | state: CONTENT_VERIFIED_PRIMARY · verified_by: UNKNOWN |
| 18 | LIMITATIONS | Occupation-level and correlational; does not observe junior and senior wages within occupations; the author’s reading (AI substitutes for book knowledge and complements tacit knowledge) is interpretation | — |
| 19 | CONTRADICTORY / SUPPORTING SOURCES | Consistent with task-level evidence that AI helps novices most only if what novices do is what AI replaces | — |
| 20 | GEOGRAPHY / LANGUAGE | US / English | — |
| 21 | DISTRIBUTIONAL LEDGER | Occupations that reward experience less fare worse with exposure | — |
| 22 | R01 / FIELD-MAP LINKS | LD-04, LD-02, D2 | — |
| 23 | WHAT WOULD CHANGE THIS CLAIM? | Individual-level wage–tenure panels that show a different pattern | — |
| 24 | PUBLICATION STATUS | ELIGIBLE WITH QUALIFIER | state: ELIGIBLE · qualifiers: QUALIFIED |
| 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)
- “Davis, “AI is simultaneously aiding and replacing workers, wage data suggest,” Federal Reserve Bank of Dallas, 24 February 2026” → Davis (2026), “AI is simultaneously aiding and replacing…” (SRC-SL-DAVIS-DALLAS-FED-2026-02-24--v1.0) — Davis, “AI is simultaneously aiding and replacing workers, wage data suggest,” Federal Reserve Bank of Dallas, 24 February 2026; class POLICY_RESEARCH_OR_MONITORING (explicit public provenance pin)
Cited by Living Debate versions
Cite this page
SocioLens project. (2026, October 14). Across 205 US occupations, those more exposed to AI already had higher experience premiums, and since 2022 higher AI exposure has gone with weaker wage growth only in occupations where the experience premium is low [Claim LD04-SL-C17, version v1.0]. SocioLens. https://sociolens-web.pages.dev/claims/ld04-sl-c17/v1.0/
@misc{sociolens_ld04_sl_c17_v1_0,
author = {{SocioLens project}},
title = {Across 205 US occupations, those more exposed to AI already had higher experience premiums, and since 2022 higher AI exposure has gone with weaker wage growth only in occupations where the experience premium is low.},
year = {2026},
date = {2026-10-14},
howpublished = {\url{https://sociolens-web.pages.dev/claims/ld04-sl-c17/v1.0/}},
note = {Claim LD04-SL-C17, 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 199edd3dd3e048d2751058819311856d4bcc510333a40efe473c43ae36281e1d.
Repository-authored inputs (not Drive exports)
- SocioLens claim — LD04-SL-C17 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 17 — LD04-SL-C17” SHA-256
05db451e70e353c7613c73985d3b2fda0d9db328c944e73d66a5540ae2ee8f13; fixturefixtures/authored/claims/LD04-SL-C17--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-C17 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-C17 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-DAVIS-DALLAS-FED-2026-02-24--v1.0 — basis: field 6 of ENTRY 17 — LD04-SL-C17 cites "Davis, “AI is simultaneously aiding and replacing workers, wage data suggest,” Federal Reserve Bank of Dallas, 24 February 2026"; the only field-6 segment of this ClaimVersion's repository-authored ledger block.
- SOURCE_PROVENANCE_PIN = SRC-SL-DAVIS-DALLAS-FED-2026-02-24--v1.0 — basis: explicit version-pinned public provenance of this ClaimVersion (Amendment v1.2 §6): the pinned field-6 Source record "Davis, “AI is simultaneously aiding and replacing workers, wage data suggest,” Federal Reserve Bank of Dallas, 24 February 2026".