Claim

LinkedIn estimated that 640,000 AI-specific jobs were created between 2023 and 2025.

Type QUANTITATIVE · truth-evaluable: yes · status at snapshot: ACTIVE · created seq 3069

Referenced 168 times: checked 3, looked up by assistants 1, viewed 120, shared 44. A count of attention, not evidence.

Topics

Employment · 03192ed8 AI · 03192ed8

Assessment

Supported

Score: 0.9927 under ledger-default@0.3.0 at snapshot 27745

2 of 4 review checks done · 2 counted

3 independent evidence lineages · review checks 2 of 4 · stability HIGH

Main unresolved issue: 6 counted evidence items have no independence review; repeats of one origin may be counted as several coverage:11a66e83-e8ca-84c6-84c7-be45c405dade

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 support: TBPN reports LinkedIn’s job-posting analysis showing 640,000 U.S. AI-created jobs from 2023 through 2025. weight 2.000000 evidence

Suppressed as dependent: The excerpt states that LinkedIn estimated 640,000 AI-specific jobs were created between 2023 and 2025.

Review gaps: independence reviewed, primary source reviewed

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

Hide calculation

0.9927 under ledger-default@0.3.0 at snapshot 27745 · state Supported · Review checks: 2 of 4 · stability HIGH · 7 sources, 3 independent lineages

Model ledger-default@0.3.0 (the default model, not the answer) · snapshot 27745 · trace sha256:30b6a53b5e190fd32c48595ff5c95bc0258498fee6c0a984496a125ed30be880

Last changed at entry seq 10736; 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
8f42981a qualify	relevance MODERATE 0.6 × 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	0.459000	0.000000 (non directional)
8942f82b 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 ad12c7be)
ad12c7be 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
5aba2317 support	relevance MODERATE 0.6 × observation HEARSAY 0.1 × 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
0c0b79e9 support	relevance DIRECT 2.0 × observation MEASUREMENT 1.0 × 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	2.000000	2.000000
cb946375 support	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
fce4ea35 support	relevance DIRECT 2.0 × observation MEASUREMENT 1.0 × 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	2.000000	2.000000

prior 0.50 → log-odds 0.000000 + 4.918000 (the counted weights) = 4.918000 → probability 0.9927

Under neighbouring settings of the same model: 0.9690 to 0.9983, a spread of 0.0293.

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.

“LinkedIn estimated that 640,000 AI-specific jobs were created between 2023 and 2025.” · 1 claim · 22 September 2026
“LinkedIn estimated that 640,000 AI-specific jobs were created between 2023 and 2025.” · 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

Diamandis cites a LinkedIn estimate of 640,000 AI jobs created between 2023 and 2025.

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

Attributed to a named source, though no report is cited.
The Wall Street Journal reports LinkedIn's analysis of U.S. job postings estimated 640,000 AI-related jobs during 2023–2025.

From The New Jobs Being Created by AI Read 2026-09-22 Relevance STRONG Steps 1 Counted

The original reporting supplies the United States scope missing from the claim; postings and jobs created should be distinguished.
The passage says LinkedIn estimated 640,000 AI-specific jobs were created between 2023 and 2025.

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

Verbatim.
The excerpt states that LinkedIn estimated 640,000 AI-specific jobs were created between 2023 and 2025.

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
NewsBytes reports LinkedIn data attributing around 640,000 U.S. jobs to AI between 2023 and 2025.

From AI created 6.4 lakh jobs between 2023 and 2025: LinkedIn Read 2026-09-28 Relevance DIRECT Steps 0 Counted
TBPN reports LinkedIn’s job-posting analysis showing 640,000 U.S. AI-created jobs from 2023 through 2025.

From AI created 640K jobs in two years but youth unemployment and white-collar displacement loom Read 2026-09-28 Relevance DIRECT Steps 0 Counted

Evidence against

None.

Qualifications

A LinkedIn-derived analysis reports AI created 640,000 jobs in the US between 2023 and 2025.

From The New Jobs Being Created by AI Read 2026-09-20 Relevance MODERATE Steps 1 Counted

Figure confirmed, but the claim drops the geographic qualifier: the 640,000 is US-only, derived from LinkedIn job-posting analysis. A separate LinkedIn-sourced figure reported by the WEF puts global AI-related job creation at 1.3 million over two years, so the two numbers are different scopes rather than a contradiction. Note this source is secondhand reporting of LinkedIn's estimate, not LinkedIn's own publication.

Suppressed as dependent

Evidence	Group	Kept instead
55b43bc1		ad12c7be

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: 2 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	8b9feb5e
opposing search done	yes	19c7448a
independence reviewed	no
primary source reviewed	no

Summary

Supported. The main support is: TBPN reports LinkedIn’s job-posting analysis showing 640,000 U.S. AI-created jobs from 2023 through 2025. 28d597d5

1 further item repeats the same origin and is not independent evidence. 55b43bc1

Qualifier: A LinkedIn-derived analysis reports AI created 640,000 jobs in the US between 2023 and 2025. c2438be9

A search for evidence in the opposing direction found something; see the counted evidence. 19c7448a

Review checks: 2 of 4. coverage:11a66e83-e8ca-84c6-84c7-be45c405dade

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

Contribution history

seq	event	detail
3069	APPENDED
3070	ACCEPT	AUTOMATIC_AFTER_VALIDATION
3221	LINK_EVIDENCE	by 03192ed8 (accepted)
4242	LINK_EVIDENCE	by 03192ed8 (accepted)
5209	LINK_EVIDENCE	by 56fe4c61 (accepted)
6632	TASK_RESULT	by 8b5e81bf (accepted)
8266	TASK_RESULT	by 1efd24fe (accepted)
10735	TASK_RESULT	by 1efd24fe (accepted)

Score trace

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