Claim

In Principal Financial Group data covering over 100,000 small business clients, more than 60 per cent were adding jobs because of AI and 1.4 per cent were losing jobs because of AI.

Type QUANTITATIVE · truth-evaluable: yes · status at snapshot: ACTIVE · created seq 3085

32 words; atomic claims are usually under 25a conjunction joins clauses that may be separately evaluablea comma-separated series may list several propositionsan inference word joins a premise to a conclusion; consider separate claims and an edge

Referenced 146 times: checked 3, looked up by assistants 0, viewed 103, shared 40. A count of attention, not evidence.

Topics

Employment · 03192ed8 Business · 03192ed8

Assessment

Contradicted

Score: 0.0018 under ledger-default@0.3.0 at snapshot 27745

3 of 4 review checks done · 3 counted

4 independent evidence lineages · review checks 3 of 4 · stability HIGH

Main unresolved issue: 8 counted evidence items have no independence review; repeats of one origin may be counted as several coverage:9b2d13f6-0b3e-8097-9965-5307164b74e7

Not yet independently audited.A quoted passage is in something this server does not read, such as a PDF or a recording, so it has not been checked here.

Why?

Strongest counted contradiction: Principal reports 23% expect AI to influence staffing increases, not over 60% adding jobs, and six percent expect both staffing and wages to decline. weight 1.800000 evidence

Suppressed as dependent: The transcription cites 100-plus-thousand small-business clients, 60-plus percent adding jobs because of AI, and 1.4% losing jobs because of AI.; The passage says Principal Financial Group data showed 60-plus% of its 100k-plus small business clients adding jobs from AI, 1.4% losing jobs.

Review gaps: independence reviewed

What would most change this: One independent, direct measurement that supports this claim would move it from Contradicted to Contradicted.

Hide calculation

0.0018 under ledger-default@0.3.0 at snapshot 27745 · state Contradicted · Review checks: 3 of 4 · stability HIGH · 8 sources, 4 independent lineages

Model ledger-default@0.3.0 (the default model, not the answer) · snapshot 27745 · trace sha256:634f76ace3082e44fb8d9f535eebc60778301e3f2d38d3f6ae832c0fa2a57fdb

Last changed at entry seq 12926; nothing logged since has borne on this claim.

How the number was reached

Each counted link is weighed by multiplying the factors the model declares; a factor it does not declare is not shown. Every factor name below links to what that number means.

Link	Working	Weight	Counted as
5d1bd59a support	relevance DIRECT 2.0 × observation DIRECT_TEXT 0.9 × interpretation 1 step, 1 − 0.15 × 1 0.850000 × authenticity UNVERIFIED 1.0 × extraction UNVERIFIED 1.0 × provenance SELF 0.0 × edition NAMED_OR_UNRELATED 1	0.000000	0.000000 (dependent strongest only, kept a7ff2b3e)
99a8bbb3 support	relevance DIRECT 2.0 × observation DIRECT_TEXT 0.9 × interpretation 1 step, 1 − 0.15 × 1 0.850000 × authenticity UNVERIFIED 1.0 × extraction UNVERIFIED 1.0 × provenance SELF 0.0 × edition NAMED_OR_UNRELATED 1	0.000000	0.000000 (dependent strongest only, kept a7ff2b3e)
e72fbe17 contradict	relevance STRONG 1.2 × observation DIRECT_TEXT 0.9 × interpretation 1 step, 1 − 0.15 × 1 0.850000 × authenticity UNVERIFIED 1.0 × extraction UNVERIFIED 1.0 × provenance INDEPENDENT 1.0 × edition NAMED_OR_UNRELATED 1	0.918000	0.918000
9577a5f3 qualify	relevance MODERATE 0.6 × observation EXPERT_ANALYSIS 0.3 × interpretation 1 step, 1 − 0.15 × 1 0.850000 × authenticity UNVERIFIED 1.0 × extraction UNVERIFIED 1.0 × provenance SELF 0.0 × edition NAMED_OR_UNRELATED 1	0.000000	0.000000 (non directional)
a7ff2b3e support	relevance MODERATE 0.6 × observation DATASET_RESULT 0.9 × interpretation 1 step, 1 − 0.15 × 1 0.850000 × authenticity UNVERIFIED 1.0 × extraction UNVERIFIED 1.0 × provenance SELF 0.0 × edition NAMED_OR_UNRELATED 1	0.000000	0.000000
1a93595d contradict	relevance DIRECT 2.0 × observation DIRECT_TEXT 0.9 × interpretation 0 steps, 1 − 0.15 × 0 1.000000 × authenticity UNVERIFIED 1.0 × extraction UNVERIFIED 1.0 × provenance INDEPENDENT 1.0 × edition NAMED_OR_UNRELATED 1	1.800000	1.800000
abc14691 contradict	relevance DIRECT 2.0 × observation DIRECT_TEXT 0.9 × interpretation 0 steps, 1 − 0.15 × 0 1.000000 × authenticity UNVERIFIED 1.0 × extraction UNVERIFIED 1.0 × provenance INDEPENDENT 1.0 × edition NAMED_OR_UNRELATED 1	1.800000	1.800000
3a220fc2 contradict	relevance DIRECT 2.0 × observation DIRECT_TEXT 0.9 × interpretation 0 steps, 1 − 0.15 × 0 1.000000 × authenticity UNVERIFIED 1.0 × extraction UNVERIFIED 1.0 × provenance INDEPENDENT 1.0 × edition NAMED_OR_UNRELATED 1	1.800000	1.800000

prior 0.50 → log-odds 0.000000 + -6.318000 (the counted weights) = -6.318000 → probability 0.0018

Under neighbouring settings of the same model: 0.0119 to 0.0003, a spread of 0.0116.

Half-even rounding, six places for weights and four for the probability. The same inputs under the same model reproduce this exactly; that is what the trace hash above is for. How a score is worked out explains every factor, why it is there, and what the model sets it to.

Your view

Registered views

Nobody has registered a view yet.

Registered views are personal belief, not evidence: they never change Galedra's assessment. Affiliations are self-declared and shown only for groups of 5 or more.

Checked as part of

Statements this claim was broken out of. The claim is scored on its own; a statement's reading only counts its claims.

“In Principal Financial Group data covering over 100,000 small business clients, more than 60 per cent were adding jobs because of AI and 1.4 per cent were...” · 1 claim · 28 September 2026
“In Principal Financial Group data covering over 100,000 small business clients, more than 60 per cent were adding jobs because of AI and 1.4 per cent were...” · 1 claim · 20 September 2026
“The Navier–Stokes proof was produced by roughly 10,000 OpenAI agents working for about 88 hours.” · 26 claims · 20 September 2026

Evidence for

Ismail cites Principal Financial Group client data of 60 per cent adding and 1.4 per cent losing jobs.

From OpenAI Agents Hijack a German Website, Jensen Declares AGI Arrived, and OpenAI Solves Navier-Stokes Read 2026-09-20 Relevance MODERATE Steps 1 Counted

A named dataset, though the speaker corrects the second figure mid-sentence and is recalling an earlier episode.
The passage says Principal Financial Group data showed 60-plus% of its 100k-plus small business clients adding jobs from AI, 1.4% losing jobs.

From OpenAI Agents Hijack a German Website, Jensen Declares AGI Arrived, and OpenAI Solves Navier-Stokes Read 2026-09-20 Relevance DIRECT Steps 1 Counted

'1% 1.4%' is a self-correction to 1.4%.
The transcription cites 100-plus-thousand small-business clients, 60-plus percent adding jobs because of AI, and 1.4% losing jobs because of AI.

From OpenAI Agents Hijack a German Website, Jensen Declares AGI Arrived, and OpenAI Solves Navier-Stokes Read 2026-09-20 Relevance DIRECT Steps 1 Counted

Evidence against

Principal's survey of 1,000 business leaders found 60% expect AI to influence wage increases, with 23% increasing staffing.

From U.S. Businesses Lean on Talent and Tech to Power Growth Amid Rising Costs Read 2026-09-20 Relevance STRONG Steps 1 Counted

The claim appears to be a garbled retelling. Principal's real 60% measures business leaders who expect AI to influence WAGE INCREASES, not employers adding jobs because of AI; the staffing-increase figure is 23%. The sample is 1,000 business decision-makers at companies of 2-10,000 employees, not "over 100,000 small business clients". No 1.4% job-loss figure appears in any Principal publication found. For scale, the New York Fed's August 2026 survey found 13% of service firms hired more workers due to AI and 4% laid off workers due to AI.
Principal reports 23% expect AI to influence staffing increases, not over 60% adding jobs, and six percent expect both staffing and wages to decline.

From U.S. businesses lean on talent and tech to power growth amid rising costs Read 2026-09-28 Relevance DIRECT Steps 0 Counted
Principal’s cited survey sampled 1,000 business participants, not over 100,000 small-business clients.

From U.S. businesses lean on talent and tech to power growth amid rising costs Read 2026-09-28 Relevance DIRECT Steps 0 Counted
Principal’s own release reports a 1,000-person survey and 23% expecting AI to influence staffing increases.

From U.S. businesses lean on talent and tech to power growth amid rising costs Read 2026-09-28 Relevance DIRECT Steps 0 Counted

Direct primary-source contradiction of the claimed 100,000-client sample and 60% AI-driven job additions.

Qualifications

Mostaque likens current job growth to a turkey fattening before Thanksgiving.

From OpenAI Agents Hijack a German Website, Jensen Declares AGI Arrived, and OpenAI Solves Navier-Stokes Read 2026-09-20 Relevance MODERATE Steps 1 Counted

Mostaque accepts the job-growth figures but argues they are a leading indicator of displacement rather than evidence against it.

Suppressed as dependent

Evidence	Group	Kept instead
eb4fec6f		a7ff2b3e
7b81feb5		a7ff2b3e

Inferences

Concluded from

None.

Used as a premise in

None.

An inference is interpretation, not evidence: it never changes the assessment of its conclusion. Each premise is a claim with its own evidence.

Threads

None. Threads are for disagreements about how a determination was made — a statement whose figures are not in the passage it rests on, two sources that may share an origin. Something about the world belongs in the evidence above.

Claim edges

None. Edges are stored and displayed; v0.1 does not propagate probability across them.

Review checklist

Review checks: 3 of 4

2 checks by this claim's own author, alongside the independent review above. 1 QUALIFIER CHECK · 1 EVIDENCE VERIFICATION. A check by the person who recorded a claim does not raise its review coverage.

Check	Done	By
qualifiers reviewed	yes	96c08a6e
opposing search done	yes	e53647e9
independence reviewed	no
primary source reviewed	yes	e72fbe17, 1a93595d, abc14691, 3a220fc2

Summary

Contradicted. The main contradiction is: Principal's survey of 1,000 business leaders found 60% expect AI to influence wage increases, with 23% increasing staffing. 21fce4ac

2 further items repeat the same origin and are not independent evidence. eb4fec6f7b81feb5

Qualifier: Mostaque likens current job growth to a turkey fattening before Thanksgiving. f83f6878

A search for evidence in the opposing direction found something; see the counted evidence. e53647e9

Review checks: 3 of 4. coverage:9b2d13f6-0b3e-8097-9965-5307164b74e7

Generated by stub-v0.1; every sentence cites graph ids.

Contribution history

seq	event	detail
3085	APPENDED
3086	ACCEPT	AUTOMATIC_AFTER_VALIDATION
3229	LINK_EVIDENCE	by 03192ed8 (accepted)
3247	LINK_EVIDENCE	by 03192ed8 (accepted)
4268	LINK_EVIDENCE	by 03192ed8 (accepted)
6638	TASK_RESULT	by 8b5e81bf (accepted)
8272	TASK_RESULT	by 1efd24fe (accepted)
10745	TASK_RESULT	by 1efd24fe (accepted)
10768	LINK_EVIDENCE	by 1efd24fe (accepted)

Score trace

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