In a survey of nearly 6,000 senior executives in the US, UK, Germany and Australia, 69% of firms actively used AI, but nine in ten executives reported no impact on employment or productivity over the previous three years; they expected AI to raise their firm's productivity by 1.4% over the next three.

SocioLens project,

Claim LD03-SL-C04 (v1.0)

Provenance and status

Claim type: Estimate
Publication status: Eligible for publication, with a qualifier
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 productivity; causal effects; a claim that impact is zero
Limitations: Self-reports and expectations, not measured outcomes; checked against the official abstract only, read on the NBER page on 15 October 2026; the full text and survey dates were not read
Source (as cited): Yotzov, Barrero, Bloom et al., “Firm Data on AI,” NBER Working Paper 34836, revised March 2026
Source type: Working paper (recorded as “Academic working paper”)
Institutional position: Mixed
Maturity of the evidence: Emerging evidence
Recorded date: 15 October 2026
Currentness / correction: This is the current version. No correction or concern is recorded on its sources.

Sources this version cites

Yotzov, Barrero, Bloom et al., “Firm Data on AI,” NBER Working Paper 34836, revised March 2026 (Working paper)
Read the original

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 (QUALIFIED) (as printed: “ELIGIBLE WITH 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	LD03-SL-C04	—
2	PUBLIC-FACING CLAIM	In a survey of nearly 6,000 senior executives in the US, UK, Germany and Australia, 69% of firms actively used AI, but nine in ten executives reported no impact on employment or productivity over the previous three years; they expected AI to raise their firm's productivity by 1.4% over the next three.	—
3	CLAIM TYPE	ESTIMATE	base_types: ESTIMATE
4	RESEARCH STRAND	B — Firm and executive outcomes	—
5	MATURITY	EMERGING	states: EMERGING
6	SOURCE	Yotzov, Barrero, Bloom et al., “Firm Data on AI,” NBER Working Paper 34836, revised March 2026	source_ids: SRC-SL-YOTZOV-ET-AL-NBER-34836
7	SOURCE TYPE	Academic working paper	classes: WORKING_PAPER
8	INSTITUTIONAL POSITION	Mixed	—
9	SCOPE	Firms in the US, UK, Germany and Australia	—
10	DESIGN	Executive surveys	—
11	SAMPLE / DATASET	Nearly 6,000 senior executives	—
12	MODEL / TOOL / VERSION	AI in general	—
13	COMPARATOR	None (self-reported impact and expectations)	—
14	MAIN RESULT	69% of firms actively use AI; executives who use it average 1.5 hours a week; nine in ten report no impact on employment or productivity over three years; expected over the next three years: productivity +1.4%, output +0.8%, employment −0.7% (employees expect employment +0.5%)	—
15	INFERENTIAL TARGET	Executives' reports of realized and expected AI impact at their own firms	—
16	DOES NOT LICENSE	Measured productivity; causal effects; a claim that impact is zero	—
17	VERIFICATION STATE	CONTENT VERIFIED ABSTRACT	state: CONTENT_VERIFIED_PRIMARY · qualifiers: ABSTRACT_ONLY · verified_by: UNKNOWN
18	LIMITATIONS	Self-reports and expectations, not measured outcomes; checked against the official abstract only, read on the NBER page on 15 October 2026; the full text and survey dates were not read	—
19	CONTRADICTORY / SUPPORTING SOURCES	Consistent with US executives reporting perceived gains above measured gains; contrasts with large task-level gains in experiments	—
20	GEOGRAPHY / LANGUAGE	Multi-country	—
21	DISTRIBUTIONAL LEDGER	Usage is higher at younger and more productive firms	—
22	R01 / FIELD-MAP LINKS	LD-03, D2	—
23	WHAT WOULD CHANGE THIS CLAIM?	Full-text reading that changes the figures, or later waves reporting realized impact	—
24	PUBLICATION STATUS	ELIGIBLE WITH QUALIFIER	state: ELIGIBLE · qualifiers: QUALIFIED
25	RECORDED DATE	2026-10-15	—

Field 22 references resolved against Field Map v0.2: LD-03 (LIVING_DEBATE); D2 (DOMAIN)

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

Pinned Sources (field 6, version-specific)

“Yotzov, Barrero, Bloom et al., “Firm Data on AI,” NBER Working Paper 34836, revised March 2026” → Yotzov et al. (2026), “Firm Data on AI” (SRC-SL-YOTZOV-ET-AL-NBER-34836--v1.0) — Yotzov, Barrero, Bloom et al., “Firm Data on AI,” NBER Working Paper 34836, revised March 2026; class WORKING_PAPER (explicit public provenance pin)

Cited by Living Debate versions

Organizational absorption: Why micro gains do not become macro outcomes (v0.1) LD-03

Cite this page

SocioLens project. (2026, October 15). In a survey of nearly 6,000 senior executives in the US, UK, Germany and Australia, 69% of firms actively used AI, but nine in ten executives reported no impact on employment or productivity over the previous three years; they expected AI to raise their firm's productivity by 1.4% over the next three [Claim LD03-SL-C04, version v1.0]. SocioLens. https://sociolens-web.pages.dev/claims/ld03-sl-c04/v1.0/

@misc{sociolens_ld03_sl_c04_v1_0,
  author = {{SocioLens project}},
  title = {In a survey of nearly 6,000 senior executives in the US, UK, Germany and Australia, 69\% of firms actively used AI, but nine in ten executives reported no impact on employment or productivity over the previous three years; they expected AI to raise their firm's productivity by 1.4\% over the next three.},
  year = {2026},
  date = {2026-10-15},
  howpublished = {\url{https://sociolens-web.pages.dev/claims/ld03-sl-c04/v1.0/}},
  note = {Claim LD03-SL-C04, 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 50e9a16364267b5d3bb9e2216f9d257313b81b3970cd83382e49de16c6222632.

Repository-authored inputs (not Drive exports)

SocioLens claim — LD03-SL-C04 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 04 — LD03-SL-C04” SHA-256 3c09a20f59d31dd88f9cfae33d78f9dffb2ebee9aee469123af6781269de45b6; fixture fixtures/authored/claims/LD03-SL-C04--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-C04 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-C04 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-YOTZOV-ET-AL-NBER-34836--v1.0 — basis: field 6 of ENTRY 04 — LD03-SL-C04 cites "Yotzov, Barrero, Bloom et al., “Firm Data on AI,” NBER Working Paper 34836, revised March 2026"; the only field-6 segment of this ClaimVersion's repository-authored ledger block.
SOURCE_PROVENANCE_PIN = SRC-SL-YOTZOV-ET-AL-NBER-34836--v1.0 — basis: explicit version-pinned public provenance of this ClaimVersion (Amendment v1.2 §6): the pinned field-6 Source record "Yotzov, Barrero, Bloom et al., “Firm Data on AI,” NBER Working Paper 34836, revised March 2026".