---
title: The implications of AI for monetary policy: a first assessment
url: https://www.ml-quant.com/papers/repec/bdi-opques-qef-1051-26/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-10-02
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: RePEc:bdi:opques:qef_1051_26
source_url: https://econpapers.repec.org/RePEc:bdi:opques:qef_1051_26
featured: 2026-10-02
citations: unknown
topic: Macro-Finance & Rates
---


# The implications of AI for monetary policy: a first assessment

The paper assesses how artificial intelligence affects monetary policy transmission and central bank reactions, finding AI could improve risk assessment and communication but may also amplify systemic vulnerabilities and herding dynamics.

- Source: https://econpapers.repec.org/RePEc:bdi:opques:qef_1051_26
- Identifier: RePEc:bdi:opques:qef_1051_26
- Released: 2026-09-28
- First featured: Quant Letter No. 133 (2026-10-02): https://www.ml-quant.com/issues/2026-10-02/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Macro-Finance & Rates
- Authors: Lucia Esposito, Elisa Guglielminetti, Elia Moracci, Andrea Papetti, Massimiliano Pisani

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