Claim · 2021-02-04 · publication · Stated in source · Supported

Economic Growth under Transformative AI: A guide to the vast range of possibilities for output growth, wages, and the labor share cites Why Are There Still So Many Jobs? The History and Future of Workplace.

One recorded claim. The claim panel gives its qualification, the source passages with their place in each source, and how it was checked.

What it connects

Economic Growth under Transformative AI: A guide to the vast range of possibilities for output growth, wages, and the labor share → cites → Why Are There Still So Many Jobs? The History and Future of Workplace Automation

Where it appears

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Claim and evidence

Economic Growth under Transformative AI: A guide to the vast range of possibilities for output growth, wages, and the labor sharecites ↓Why Are There Still So Many Jobs? The History and Future of Workplace Automation

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2021-02-04 · publication Records dated 2021 →

Scope and limitsAn explicit reference only; neither agreement nor influence. The citing text does not identify which version of the work was read.

The evidence 01

primary sourceSupports the claim

Economic Growth under Transformative AI: A guide to the vast range of possibilities for output growth, wages, and the labor share

Global Priorities Institute Working Paper No. 8-2020 · 2021-02-04

Archived copy, captured 2021-06-25: Economic Growth under Transformative AI: A guide to the vast range of possibilities for output growth, wages, and the labor share

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Paraphrase

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Location in source PDF p. 68, reference or mention by title

Machine-checked · 2026-10-31

Source details and check notes

Authors: Philip Trammell; Anton Korinek
Version: Wayback capture of the GPI PDF (text dated 2021-02-04); compared with a capture of NBER Working Paper 31815 (2023). Capture retrieved 2026-10-08 (SHA-256 8f2ec30dd60480d9d46847c94873df53da83535c2b1431d598a0fae0270d8c12). Versions: GPI Working Paper 8-2020 (2020-10 (series cover)): not retrieved; GPI revision (2021-02-04): checked; GPI revision (2023-02-03): retrieved 2026-10-10 as a current copy; not the checked expression; NBER Working Paper 31815 (2023-10): compared; Annual Review of Economics 18 (2026 (Crossref issue date 2026-08-07)): not retrieved. Published version: Trammell, P., & Korinek, A. (2026). Economic growth under transformative AI. Annual Review of Economics, 18, 589–611. https://doi.org/10.1146/annurev-economics-051624-061002 Working papers: GPI Working Paper No. 8-2020 (October 2020; checked revision 2021-02-04); NBER Working Paper No. 31815 (2023), https://doi.org/10.3386/w31815. Crossref gives the journal article's issue date as 2026-08-07; its wording was not retrieved.
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Accessed: 2026-10-08
Language: English (en)
Archive copy: Open archived copy, captured 2021-06-25: Economic Growth under Transformative AI: A guide to the vast range of possibilities for output growth, wages, and the labor share. Captured 141 days after the recorded publication date. An archive copy shows only what the archive retrieved on 2021-06-25. It does not prove what the page said earlier, and it can differ from the copy checked on 2026-10-08.
Attribution: Philip Trammell, Anton Korinek, “Economic Growth under Transformative AI: A guide to the vast range of possibilities for output growth, wages, and the labor share”, Global Priorities Institute Working Paper No. 8-2020, 2021-02-04.
Reuse: No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution.
Check notes: Candidate pack passage, key papers (research/key-papers). The citation was matched (title) in the text retrieved for the candidate pack on 2026-10-28 and re-found by its mechanical check. The paraphrase is Selekoa’s. No human editorial review.

Status and meaning

Editorial status. Not reviewed by an editor. An exploratory record that no editor has accepted. This status does not say whether a person has read any linked passage. Each evidence record above shows how it was checked.

Relation. An explicit reference to a work. Citation alone is neither agreement nor causal influence.

Date. Date of the citing source as recorded in the dataset; unknown where the dataset has none.

Record ID kp-cites-trammell-korinek-2020-growth-under-transformative-ai-autor-2015-why-are-there-still-so-many-jobs