Claim · 2017-12 · publication · Stated in source · Supported

Korinek and Stiglitz (2017) attribute to Frey and Osborne (2017) the warning that 47% of US jobs are at risk of automation by advances in AI-related fields.

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 and Its Implications for Income Distribution and Unemployment → attributes to → The Future of Employment: How Susceptible Are Jobs to Computerisation?

Where it appears

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

Claim and evidence

Artificial Intelligence and Its Implications for Income Distribution and Unemploymentattributes to ↓The Future of Employment: How Susceptible Are Jobs to Computerisation?

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2017-12 · publication Records dated 2017 →
Kind of attribution: Summarises an argument or finding of the work

Scope and limitsThe citing text's summary of the estimate, citing the 2017 journal version; not evidence that the estimate is valid or that it shaped the citing authors' model.

The evidence 01

primary sourceSupports the claim

Artificial Intelligence and Its Implications for Income Distribution and Unemployment

NBER Working Paper 24174 · 2017-12

Cite the original source

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

Source excerpt

“For example, Frey and Osborne (2017) warn that 47% of jobs in the US economy are at risk of being automated by advances in AI‐related fields.”

Location in source PDF p. 3, footnote 2

Machine-checked · 2026-10-31

Source details and check notes

Authors: Anton Korinek; Joseph E. Stiglitz
Version: Full text. Current copy retrieved directly on 2026-10-09; no archive capture (Wayback unreachable), so earlier bytes are not authenticated. SHA-256 aeddf962b5c488cae68b7d48cef964de22379c78e75579c5793f0df71d5e9f40.
Canonical address: Open the canonical source ↗
Accessed: 2026-10-09
Language: English (en)
Attribution: Anton Korinek, Joseph E. Stiglitz, “Artificial Intelligence and Its Implications for Income Distribution and Unemployment”, NBER Working Paper 24174, 2017-12.
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 quotation (26 words) matched the text retrieved for the candidate pack on 2026-10-28 (research/key-papers/verification.json). Matching ignored differences of whitespace, case, quotation marks, dashes and line-break hyphens, so the source’s typography can differ. A cross-family machine check (2026-10-30, item B007) found the attribution at its locator and in the citing text’s reference entry. 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. A document expressly attributes an argument, concept, term, finding or approach to another work, in its own words; the kind of attribution is recorded. The record is the citing document’s claim. It is not evidence that the cited work originated the idea, that the attribution is accurate, or of influence beyond the passage. Citation alone is recorded as a citation.

Date. Date of the citing text as the dataset records it (December 2017).

Record ID kp-shaping-korinek-stiglitz-frey-osborne