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The FSB report of 14 November 2024 on the financial stability implications of artificial intelligence states that widespread use of common AI models and data sources could increase correlations in trading, lending and pricing, amplifying market stress, and sets out herding, network externalities, limited choice and lack of transparency as drivers. Copy claim link
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Supporting evidence: primary · 1 source; Context: primary · 1 source
Date 2024-11-14 · publication Records dated 2024 → Role Articulation Register (kind of text) Nonfiction Scope and limits A statement of what the text says, not evidence that the risk has materialised or that any authority has adopted a policy. The report states that if financial institutions mainly use LLMs for internal efficiencies, the impact on market correlations is likely to be minimal.
The evidence 02 primary source Supports the claim
The Financial Stability Implications of Artificial Intelligence ↗ Financial Stability Board · 2024-11-14
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Source excerpt “The widespread use of common AI models and data sources could lead to increased correlations in trading, lending, and pricing. This could amplify market stress, exacerbate liquidity crunches, and increase asset price vulnerabilities.” Location in source Executive summary, “Market correlations”, PDF p. 5 (printed p. 1)
How it was read Retrieved directly from the publisher
Machine-checked · 2026-11-06
Source details and check notes Authors Financial Stability Board Version Retrieved for the candidate pack on 2026-11-02 (SHA-256 4b81544ecb28b50fb2fa5dab530a0f32c9351506a875d1de841b946d18e7ecef). Retrieved again at admission on 2026-11-06 (same file). PDF dated 14 November 2024 as served by fsb.org on 2026-11-02 Canonical address Open the canonical source ↗ Accessed 2026-11-06 Language English (en) Attribution Financial Stability Board, “The Financial Stability Implications of Artificial Intelligence”, 2024-11-14. 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, AI and money (research/ai-money). The quotation (33 words) matched a fresh retrieval of 2026-11-06 (the same file the candidate pack read). Matching ignored differences of whitespace, case, quotation marks, dashes, line-break hyphens and Unicode compatibility forms. No human editorial review. primary source Context only
The Financial Stability Implications of Artificial Intelligence ↗ Financial Stability Board · 2024-11-14
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Cite the original source Cite the original document, not Selekoa. Check these details against it.
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Source excerpt “if FIs primarily use LLMs for internal efficiencies, such as document drafting, employee education and information retrieval, the impact on market correlations is likely to be minimal.” Location in source Section 4.2.2 “Market correlations”, PDF p. 25 (printed p. 21)
How it was read Retrieved directly from the publisher
Machine-checked · 2026-11-06
Source details and check notes Authors Financial Stability Board Version Retrieved for the candidate pack on 2026-11-02 (SHA-256 4b81544ecb28b50fb2fa5dab530a0f32c9351506a875d1de841b946d18e7ecef). Retrieved again at admission on 2026-11-06 (same file). PDF dated 14 November 2024 as served by fsb.org on 2026-11-02 Canonical address Open the canonical source ↗ Accessed 2026-11-06 Language English (en) Attribution Financial Stability Board, “The Financial Stability Implications of Artificial Intelligence”, 2024-11-14. 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, AI and money (research/ai-money). The quotation (27 words) matched a fresh retrieval of 2026-11-06 (the same file the candidate pack read). Matching ignored differences of whitespace, case, quotation marks, dashes, line-break hyphens and Unicode compatibility forms. No human editorial review. Status and meaning Editorial status. Machine-checked . Machines found this record and checked it against its sources; no person accepted it individually. Each evidence record above shows how it was checked.
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Record ID am-u01-fsb-2024-ai