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94 people, organisations and other records · 122 relationships · 34 claims about a valueEverything recorded up to the chosen year, whether or not still in effect · Undated records included
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Agrawal, Gans, Goldfarb, “Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction” (2019) articulates M04. The published abstract identifies AI with prediction and frames its labour impact through prediction and decision tasks. Copy claim link
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Supporting evidence: primary · 1 source
Date 2019 · publication Role Articulation Register (kind of text) Nonfiction Tier Tier 1. JEP (core venue). Scope and limits Abstract page only; the cost-of-prediction consequences are in the full text (see NBER w25619).
The evidence 01 primary source Supports the claim
Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction ↗ Journal of Economic Perspectives 33(2), Spring 2019, pp. 31–50 · 2019
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Source excerpt “Recent advances in artificial intelligence are primarily driven by machine learning, a prediction technology. Prediction is useful because it is an input into decision-making.” Location in source AEA abstract page; Abstract (JEP 33(2), Spring 2019, pp. 31–50)
Machine-checked · 2026-10-14
Source details and check notes Authors Ajay Agrawal; Joshua Gans; Avi Goldfarb Version Abstract page only. Current copy retrieved directly on 2026-10-09; no archive capture (Wayback unreachable), so earlier bytes are not authenticated. SHA-256 21d23ba77c1fd9c84616816721f9b00a9b55352c64fd29f00adbeef6af5de88d. Full text not retrieved; only the AEA abstract page. 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 Gans, Avi Goldfarb, “Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction”, Journal of Economic Perspectives 33(2), Spring 2019, pp. 31–50, 2019. 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 M04-07 (research/economics-mainstream). The quotation (24 words) matched the retrieved current copy (SHA-256 21d23ba77c1fd9c84616816721f9b00a9b55352c64fd29f00adbeef6af5de88d) in the pack's verification. Re-checked at admission on 2026-10-14 against a copy retrieved that day, whose SHA-256 differs from the recorded one. 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. A passage of the document meets the proposition’s criterion. The record documents what the text states, in its register (fiction and satire are labelled); it is not evidence that the proposition is true and implies no influence on or from another text.
Date. AEA article page. Checked in a current copy; an archive capture was not available, so earlier bytes are not authenticated.
Record ID ec-m04-agrawal-gans-goldfarb-2019-ambiguous-labor-market-impact-jep-a