Generative AI in Capital Markets: Information Production, Dissemination, and Processing

ABSTRACT We synthesize evidence from six papers presented at the 2025 Journal of Accounting Research Conference on how generative artificial intelligence (GenAI) is reshaping capital‐market information flows. Our discussion is organized around an economic framework with three layers: information production by firms and accounting professionals, information dissemination through intermediaries, and information processing by investors. Across these layers, the conference papers show that GenAI can lower preparation costs, improve intermediary productivity, and reduce investors’ processing costs. At the same time, they point to a common constraint: whether GenAI improves the information environment depends critically on information verification costs. We also highlight gaps in current evidence and outline future research opportunities within and across the three layers.

Authors

Institutions

Publication Details

Journal
Journal of Accounting Research
Published
2026-04-22
DOI
https://doi.org/10.1111/1475-679x.70061
Primary Topic
Stock Market Forecasting Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Generative AI in Capital Markets: Information Production, Dissemination, and Processing

Guang Ma, Suraj Srinivasan, Sean Cao, Wilbur Xinyuan Chen
Journal of Accounting Research
Stock Market Forecasting Methods
article

Generative AI in Capital Markets: Information Production, Dissemination, and Processing

Guang Ma, Suraj Srinivasan, Sean Cao, Wilbur Xinyuan Chen
article en

Abstract

ABSTRACT We synthesize evidence from six papers presented at the 2025 Journal of Accounting Research Conference on how generative artificial intelligence (GenAI) is reshaping capital‐market information flows. Our discussion is organized around an economic framework with three layers: information production by firms and accounting professionals, information dissemination through intermediaries, and information processing by investors. Across these layers, the conference papers show that GenAI can lower preparation costs, improve intermediary productivity, and reduce investors’ processing costs. At the same time, they point to a common constraint: whether GenAI improves the information environment depends critically on information verification costs. We also highlight gaps in current evidence and outline future research opportunities within and across the three layers.

Journal of Accounting Research
Harvard University (US), Hong Kong University of Science and Technology (HK), Rutgers Sexual and Reproductive Health and Rights (NL)
Decent work and economic growth
Openalex Percentile: Top 7%
Stock Market Forecasting Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.