Industry Exposure to Artificial Intelligence, Board Network Heterogeneity, and Firm Idiosyncratic Risk

Kerry Hudson and Robert E. Morgan

Journal of Management Studies, 2026, vol. 63, issue 2, 596-630

Abstract: Despite the growing impact of artificial intelligence (AI) in business, there is little research examining its effects on firm idiosyncratic risk (IR). This is an important issue for boards: as key conduits of firm–environment information flows via board interlock networks, traditional risk oversight functions are being increasingly augmented with strategic decision‐making and communications. Accordingly, we explore how AI and board interlocks independently and interactively affect IR, focusing on the heterogeneity of the board's network ties. We hypothesize these effects within signalling theory, positing that a firm's AI exposure and board network will differentially affect market perceptions of risk contingent on their perceived cost and relative signal strength under different environmental conditions. We find that while AI and board network heterogeneity both favourably affect risk, operating in a high‐AI industry while occupying a network position that spans industry boundaries mitigates these effects, leading to an increase in IR for firms in the most technologically advanced industries. Additional analyses of diversification corroborate these theoretical mechanisms: as a costly signal of competence across multiple domains, diversification enables firms to simultaneously engage with AI and diverse knowledge networks without market penalties. Our findings offer practical insights for directors and avenues for theoretical development.

Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:bla:jomstd:v:63:y:2026:i:2:p:596-630

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