Blockchain Technology Applications and SecurityEthics and Social Impacts of AIDigital Transformation in Industry

Kumar Rishabh, R. Mihet, Julian Jang-Jaccard

2026.6.16Review of Corporate Finance Studies

DOI: 10.1093/rcfs/cfag018

Résumé

Does AI make firms vulnerable or resilient to cyberrisk? We develop a firm-year measure of AI intensity for U.S. listed firms using patents and 10-K business descriptions. A 1-standard-deviation increase in cyberrisk reduces patenting by 25%–30% for non-AI firms, with larger declines in data-intensive technologies. Frontier AI firms are much less affected, and their valuations rise when cyberrisk is high. This resilience does not extend to firms that adopt external AI tools without internal AI innovation. The evidence fits two channels: cyberrisk raises the cost of data-intensive innovation, and internal AI development builds organizational capacity to sustain innovation under cyberrisk. (JEL D8, O3, O4, G3, L1, L2, M1)

Format de citation

RISHABH, Kumar; MIHET, R.; JANG-JACCARD, Julian. Cyberrisk and AI firms. Review of Corporate Finance Studies, 2026.