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Aghion, Jones, Jones, “Artificial Intelligence and Economic Growth” (2017-10) articulates G02. If an AI replaces all people in producing ideas and ideas build on earlier ideas, the model reaches infinite income in finite time. Copy claim link
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Supporting evidence: primary · 1 source
Date 2017-10 · publication Wording attested 2018-12-14. Earliest retrieved capture of a version with this wording (author-hosted Version 1.0); the NBER PDF capture is from 2021. Role Earliest located Register (kind of text) Nonfiction Tier Tier 1. Tier 1 (unchanged). Economists in a core economics series: NBER Working Paper; chapter in an NBER volume (University of Chicago Press). Conditions All tasks in idea production automated; returns to existing knowledge in idea production (φ) above zero. Scope and limits A model result. The same paper sets out "search limits" against it (section 4.2, "Objections to singularities").
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Artificial Intelligence and Economic Growth ↗ NBER Working Paper 23928 · 2017-10
Archived copy, captured 2021-03-03: Artificial Intelligence and Economic Growth ↗
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Source excerpt “if the automation applies to the idea production function instead of (or in addition to) the goods production function. In fact, one can show that there is a mathematical singularity: a Type II event where incomes essentially become infinite in a finite amount of time.” Location in source Section 4.1, Example 2 "Automation of Ideas Production", first paragraph
Machine-checked · 2026-10-14
Source details and check notes Authors Philippe Aghion; Benjamin F. Jones; Charles I. Jones Version Wayback capture of the NBER PDF (w23928); compared with the author-hosted Version 1.0 (web.stanford.edu/~chadj/AI.pdf, 2018 capture). Capture retrieved 2026-10-08 (SHA-256 a8e68273c738c80fe565afa60bc27ec5e8aaf3135011a0f760233896f1f2100c). Versions: NBER Working Paper 23928 (2017-10): checked; author copy (Stanford), version 1.0 (2017-10-10): compared; book chapter, University of Chicago Press (2019): not retrieved. Published version: Aghion, P., Jones, B. F., & Jones, C. I. (2019). Artificial intelligence and economic growth. In A. Agrawal, J. Gans, & A. Goldfarb (Eds.), The economics of artificial intelligence: An agenda (pp. 237–290). University of Chicago Press. https://doi.org/10.7208/chicago/9780226613475.003.0009 Working paper: NBER Working Paper No. 23928 (2017). https://doi.org/10.3386/w23928 Canonical address Open the canonical source ↗ Accessed 2026-10-08 Language English (en) Archive copy Open archived copy, captured 2021-03-03: Artificial Intelligence and Economic Growth ↗ . An archive copy shows only what the archive retrieved on 2021-03-03. It does not prove what the page said earlier, and it can differ from the copy checked on 2026-10-08.Attribution Philippe Aghion, Benjamin F. Jones, Charles I. Jones, “Artificial Intelligence and Economic Growth”, NBER Working Paper 23928, 2017-10. 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 G02-a (research/economics-growth). The quotation (45 words) matched the checked expression (aghion-nber) in the pack's verification. Re-checked at admission on 2026-10-14 against a copy retrieved that day. 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.
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Date. NBER cover "October 2017"; the author-hosted PDF is "October 10, 2017 – Version 1.0".
Record ID ec-g02-aghion-jones-jones-2017-ai-and-economic-growth-a