Examines how institutional investors reduce AI washing in companies, suggesting effective governance strategies.
The growing disconnect between firms’ symbolic AI disclosure and their substantive AI investment, known as AI washing, threatens disclosure quality and capital allocation efficiency. Using Chinese A-share listed firms from 2017 to 2024, we examine whether institutional investors discipline corporate AI washing. Institutional ownership significantly reduces AI washing, an effect driven by long-term institutions while short-term institutions play no role. Mechanism analyses identify two complementary channels: a monitoring channel that improves information transparency and constrains managerial impression management, and a resource channel that promotes substantive AI R&D. The effect is stronger among non-state-owned firms, firms with lower analyst coverage, and during the AI hype period, and is concentrated among independent institutions. We further show that AI washing significantly depresses medium- to long-term firm value, providing an economic rationale for institutional governance engagement. We offer systematic evidence on curbing AI washing from a governance perspective.
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Ye et al. (2026) studied this question.
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