---
title: Large Language Models as Voting Mechanisms
url: https://www.ml-quant.com/papers/repec/nbr-nberwo-35839/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-10-23
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: RePEc:nbr:nberwo:35839
source_url: https://econpapers.repec.org/RePEc:nbr:nberwo:35839
featured: 2026-10-23
citations: unknown
topic: ML & AI Methods
---


# Large Language Models as Voting Mechanisms

The study proves that large language models function as voting rules and identifies millions of Condorcet cycles in ChatGPT investment recommendations, creating potential money-pump vulnerabilities.

- Source: https://econpapers.repec.org/RePEc:nbr:nberwo:35839
- Identifier: RePEc:nbr:nberwo:35839
- Released: 2026-10-19
- First featured: Quant Letter No. 136 (2026-10-23): https://www.ml-quant.com/issues/2026-10-23/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: ML & AI Methods
- Authors: Raša Karapandža, Yaw Nyarko

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