From Information to Delegation: Mapping Human-AI Financial Decision Making

arXiv:2608.02100 · cs.HC, cs.LG · Submitted 2026-08-03 · Read on arXiv

cs.HC, cs.LG

Submitted: 2026-08-03

Updated: 2026-09-11

Project page: https://gvrkiran.github.io/content/How_people_use_ChatGPT.pdf

License: http://creativecommons.org/licenses/by/4.0/

The gist: As AI increasingly participates in human decision making, understanding how decision-making authority is distributed between humans and AI has become a fundamental behavioural question.

Terminology

Abstract

As AI increasingly participates in human decision making, understanding how decision-making authority is distributed between humans and AI has become a fundamental behavioural question. We introduce a behavioural measurement framework combining intent and delegated decision authority to quantify what consumers seek from AI and how much decision-making authority they assign to it. Applied to 1.5 million real-world ChatGPT and Gemini interactions from 6,304 users in the United States and India, we find that financial services are already a substantial AI use case. Consumers overwhelmingly use AI to retrieve information and shape financial judgement, while delegation of financial execution remains rare. By shifting attention from conversation topics to delegated decision authority, this work establishes a behavioural baseline for measuring the transition to increasingly agentic AI.

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