AI, Opinion Ecosystems, and Finance
Generative AI use for content generation is associated with divergent outcomes on different financial social media platforms: indications of reasoning enhancement on Seeking Alpha, and of belief distortions on WallStreetBets. On Seeking Alpha, adoption is associated with information frictions. AI-assisted postings tilt toward analysis/credibility, and their sentiment positively predicts future returns. Use of AI is associated with more informative retail order flow and lower bid-ask spreads. In contrast, AI adoption on WallStreetBets follows surges in retail buying, and AI-assisted content is associated with emotionality and sentiment contagion. Such content precedes higher trading volume, greater volatility, and more lottery-like return distributions.
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Copy CitationDavid Hirshleifer, Lin Peng, Qiguang Wang, Weichen Zhang, and Xiaoyan Zhang, "AI, Opinion Ecosystems, and Finance," NBER Working Paper 34807 (2026), https://doi.org/10.3386/w34807.Download Citation