Claim LD03-SL-C02 (v1.0)
In nationally representative US surveys to late 2024, workers' self-reported time savings from generative AI came to 1.4% of all work hours, which the authors translate into a potential aggregate productivity gain of about 1.2%; they note that worker adoption is running ahead of firm adoption.
Research opportunities this claim motivates
What this claim leaves open for research. Each is a hypothesis about a gap, not a finding.
- Where does the time saved with generative AI go?Workers' self-reported time savings equal 1.4% of all US work hours; the potential productivity gain assumes the saved time becomes output.
Provenance and status
- Claim type
- ESTIMATE (as printed: “ESTIMATE”)
- Publication status
- ELIGIBLE (WORKING_PAPER) (as printed: “ELIGIBLE WITH WORKING-PAPER QUALIFIER”)
- Verification state
- CONTENT_VERIFIED_PRIMARY (as printed: “CONTENT VERIFIED”; verified by: UNKNOWN)
- Does not license
- Measured output or productivity; a causal effect; gains from reorganizing work, which the estimate excludes
- Source (field 6, as printed)
- Bick, Blandin & Deming, “The Rapid Adoption of Generative AI,” Federal Reserve Bank of St. Louis Working Paper 2024-027F, October 2025
- Source type (field 7)
- WORKING_PAPER (as printed: “Academic working paper”)
- Institutional position
- Government research
- Maturity (claim evidence / publication maturity)
- RAPIDLY_MATURING (as printed: “RAPIDLY MATURING”)
- Recorded date
- 2026-10-15
- Currentness / correction
- This is the current version. No correction or concern relation is recorded on its Sources.
Version
Current version v1.0, resolved through the explicit current pointer CLAIM--LD03-SL-C02.
Pinned Sources (field 6, version-specific)
- “Bick, Blandin & Deming, “The Rapid Adoption of Generative AI,” Federal Reserve Bank of St. Louis Working Paper 2024-027F, October 2025” → SRC-SL-BICK-BLANDIN-DEMING-STLFED-WP-2024-027F--v1.0 — Bick, Blandin & Deming, “The Rapid Adoption of Generative AI,” Federal Reserve Bank of St. Louis Working Paper 2024-027F, October 2025; class WORKING_PAPER (explicit public provenance pin)
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 | LD03-SL-C02 | — |
| 2 | PUBLIC-FACING CLAIM | In nationally representative US surveys to late 2024, workers' self-reported time savings from generative AI came to 1.4% of all work hours, which the authors translate into a potential aggregate productivity gain of about 1.2%; they note that worker adoption is running ahead of firm adoption. | — |
| 3 | CLAIM TYPE | ESTIMATE | base_types: ESTIMATE |
| 4 | RESEARCH STRAND | A — Adoption and depth of use | — |
| 5 | MATURITY | RAPIDLY MATURING | states: RAPIDLY_MATURING |
| 6 | SOURCE | Bick, Blandin & Deming, “The Rapid Adoption of Generative AI,” Federal Reserve Bank of St. Louis Working Paper 2024-027F, October 2025 | source_ids: SRC-SL-BICK-BLANDIN-DEMING-STLFED-WP-2024-027F |
| 7 | SOURCE TYPE | Academic working paper | classes: WORKING_PAPER |
| 8 | INSTITUTIONAL POSITION | Government research | — |
| 9 | SCOPE | US population aged 18–64; surveys to late 2024 | — |
| 10 | DESIGN | Nationally representative survey (Real-Time Population Survey) with a calibrated aggregation | — |
| 11 | SAMPLE / DATASET | Real-Time Population Survey respondents | — |
| 12 | MODEL / TOOL / VERSION | Generative AI in general | — |
| 13 | COMPARATOR | Hours without generative AI as respondents estimate them | — |
| 14 | MAIN RESULT | Time savings equal to 1.4% of total work hours across all workers; potential aggregate productivity gain of 1.2% (1.1% in a sensitivity check and in earlier revisions); 1–7% of work hours assisted; worker adoption proceeds faster than firm adoption and firm-based measures may miss an important share of use | — |
| 15 | INFERENTIAL TARGET | The size of self-reported task-time savings when spread over the whole workforce | — |
| 16 | DOES NOT LICENSE | Measured output or productivity; a causal effect; gains from reorganizing work, which the estimate excludes | — |
| 17 | VERIFICATION STATE | CONTENT VERIFIED | state: CONTENT_VERIFIED_PRIMARY · verified_by: UNKNOWN |
| 18 | LIMITATIONS | Self-reported time savings; the productivity figure is a model calculation, not an observed change; earlier revisions put the potential gain at 1.1% and added that workers may take time savings as on-the-job leisure, a passage absent from revision F | — |
| 19 | CONTRADICTORY / SUPPORTING SOURCES | Close to the task-based macro estimate of Acemoglu; consistent with low formal firm adoption in Census data | — |
| 20 | GEOGRAPHY / LANGUAGE | US / English | — |
| 21 | DISTRIBUTIONAL LEDGER | Not analysed in this claim | — |
| 22 | R01 / FIELD-MAP LINKS | LD-03, D2 | — |
| 23 | WHAT WOULD CHANGE THIS CLAIM? | Measured output data, or a later revision with different figures | — |
| 24 | PUBLICATION STATUS | ELIGIBLE WITH WORKING-PAPER QUALIFIER | state: ELIGIBLE · qualifiers: WORKING_PAPER |
| 25 | RECORDED DATE | 2026-10-15 | — |
Field 22 references resolved against Field Map v0.2: LD-03 (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 dea1d3317463bcbd99c43729d0d82f10ce320e2211951558a9a45813d721072c.
Repository-authored inputs (not Drive exports)
- SocioLens claim — LD03-SL-C02 v1.0 (v1.0) — written in the SocioLens repository by Project Lead (Claude, AI) on 2026-10-15; 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 15 October 2026 to build the LD-03 debate; a new Claim, first version, written from the project's LD-03 source notes, checked against full texts or official abstracts. Block “ENTRY 02 — LD03-SL-C02” SHA-256
dcca4bffb8e01a282306f4cb573edd353bc62969bc06971a608819d882dac407; fixturefixtures/authored/claims/LD03-SL-C02--v1.0.
Builder decisions (not Drive data)
- VERSION = v1.0 — basis: Claim version taken from the repository-authored claim fixture version (SocioLens claim — LD03-SL-C02 v1.0); the first version of a new Claim of the LD-03 debate
- CURRENT_POINTER = true — basis: repository-authored claim "SocioLens claim — LD03-SL-C02 v1.0" (Project Lead (Claude, AI), 2026-10-15); 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 15 October 2026 to build the LD-03 debate; a new Claim, first version, written from the project's LD-03 source notes, checked against full texts or official abstracts
- FIELD_6_SOURCE_REFERENCE = SRC-SL-BICK-BLANDIN-DEMING-STLFED-WP-2024-027F--v1.0 — basis: field 6 of ENTRY 02 — LD03-SL-C02 cites "Bick, Blandin & Deming, “The Rapid Adoption of Generative AI,” Federal Reserve Bank of St. Louis Working Paper 2024-027F, October 2025"; the only field-6 segment of this ClaimVersion's repository-authored ledger block.
- SOURCE_PROVENANCE_PIN = SRC-SL-BICK-BLANDIN-DEMING-STLFED-WP-2024-027F--v1.0 — basis: explicit version-pinned public provenance of this ClaimVersion (Amendment v1.2 §6): the pinned field-6 Source record "Bick, Blandin & Deming, “The Rapid Adoption of Generative AI,” Federal Reserve Bank of St. Louis Working Paper 2024-027F, October 2025".