生成语法
信息处理
计算机科学
点(几何)
生产(经济)
信息处理理论
数据科学
知识管理
人工智能
生成模型
首都(建筑)
信息系统
会计信息系统
信息技术
信息传播
信息处理机
业务信息
人力资本
管理科学
公共信息
商业智能
作者
SEAN SHUN CAO,Wilbur Chen,Guang Ma,Suraj Srinivasan
标识
DOI:10.1111/1475-679x.70061
摘要
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.
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