Claim · 2019-02 · publication · Stated in source · Supported

Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction cites Robots and Jobs: Evidence from US Labor Markets.

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

Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction → cites → Robots and Jobs: Evidence from US Labor Markets

Where it appears

No collection page holds this claim. It is listed with its records in the explorer.

Claim and evidence

Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Predictioncites ↓Robots and Jobs: Evidence from US Labor Markets

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2019-02 · publication Records dated 2019 →

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

Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction

NBER Working Paper 25619 · 2019-02

Cite the original source

Cite the original document, not Selekoa. Check these details against it.

Paraphrase

The text names the work by its title.

Location in source PDF p. 24, reference or mention by title

Machine-checked · 2026-10-31

Source details and check notes

Authors: Ajay Agrawal; Joshua S. Gans; Avi Goldfarb
Version: Full text. Current copy retrieved directly on 2026-10-09; no archive capture (Wayback unreachable), so earlier bytes are not authenticated. SHA-256 dbd015967a47f77a41ff8028f5cc8208c3bb0e8cb44d6b1cc9be04f7df9c2450. Journal version not retrieved. Agrawal, A., Gans, J. S., & Goldfarb, A. (2019). Artificial intelligence: The ambiguous labor market impact of automating prediction. Journal of Economic Perspectives, 33(2), 31–50. https://doi.org/10.1257/jep.33.2.31
Canonical address: Open the canonical source ↗
Accessed: 2026-10-09
Language: English (en)
Attribution: Ajay Agrawal, Joshua S. Gans, Avi Goldfarb, “Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction”, NBER Working Paper 25619, 2019-02.
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-agrawal-gans-goldfarb-2019-ambiguous-labor-market-impact-robots-jobs-evidence-from-us-2019