Claim · 2018-06 · publication · Stated in source · Supported

Furman and Seamans (2018) attribute to Frey and Osborne (2017) an expert-based method for classifying susceptibility to automation and the resulting 47 percent estimate, in discussing which workers are likely to be affected.

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

AI and the Economy → 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

AI and the Economyattributes 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: 2018-06 · publication Records dated 2018 →
Kind of attribution: Summarises an argument or finding of the work

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

The evidence 01

primary sourceSupports the claim

AI and the Economy

NBER Working Paper 24689 · 2018-06

Cite the original source

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

Source excerpt

“Frey and Osborne (2017) use a panel of experts to categorize tasks by their susceptibility to automation, link these tasks to occupation, employment and wage data, and find that 47 percent”

Location in source PDF p. 15, §2.3 AI and Labor

Machine-checked · 2026-10-31

Source details and check notes

Authors: Jason Furman; Robert Seamans
Version: Full text. Current copy retrieved directly on 2026-10-09; no archive capture (Wayback unreachable), so earlier bytes are not authenticated. SHA-256 b8a5fa326ed1a114552fa25b2040e90ee7dcc15ccbbc4ee27a0fba2f43b0ef63.
Canonical address: Open the canonical source ↗
Accessed: 2026-10-09
Language: English (en)
Attribution: Jason Furman, Robert Seamans, “AI and the Economy”, NBER Working Paper 24689, 2018-06.
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 (31 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 B017) 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 (June 2018).

Record ID kp-shaping-furman-seamans-frey-osborne