Claim: “Artificial Intelligence: The Ambiguous Labor Market Impact of…

Search by nameBrowse by topic

Core institutions

Document histories

Chinese AI histories

Three selected institutional histories, grouped here for navigation. The grouping implies no shared ownership, strategy or lineage.

DeepSeek Alibaba / Qwen Zhipu AI

Coverage is selective

Selected records
1965–2027
Dates after the latest check are scheduled dates

Latest source check
2026-10-27

All records

All topics

Choose an institution to see its records and dossier, or choose a topic.

Through year Show

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

Claim and evidence

Avi Goldfarbauthored ↓Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction

“Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction” (2019) credits Avi Goldfarb as one of its 3 authors.

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2019 · publication

Scope and limitsCredited co-authorship; it does not allocate parts of the text between authors or imply agreement with every passage.

The evidence 01

primary sourceSupports the claim

Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction

Journal of Economic Perspectives 33(2), Spring 2019, pp. 31–50 · 2019

Cite the original source

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

Source excerpt

“Avi Goldfarb”

Location in source Page head: author byline

How it was read Retrieved directly from the publisher

Machine-checked · 2026-10-27

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: Credited name checked by an automated research assistant on 2026-10-27 in a direct retrieval and checked by a reviewer from a different model family on 2026-10-27. Human editorial review is pending.

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. Authorship as credited in the document. Does not imply sole authorship.

Date. Date the source record gives for this text; authorship is credited in the inspected expression.

Record ID ap-avi-goldfarb-agrawal-gans-goldfarb-2019-ambiguous-labor-market-impact-jep

Explore the documentary record

All topics