This podcast episode discusses state and local AI regulations impact investor risk, finding that such laws can decrease risk by incentivizing firms to adopt better AI governance and reduce misconduct. It also examines how financial analysts utilize AI and its impact on their behavior. Finally, we discuss a third academic research paper on AI in risk management and forecasting from a global perspective. It is based on these three references:

Ciconte, Will and Rozario, Andrea and Urcan, Oktay, Artificial Intelligence Regulation and Investor Risk: Evidence from State and Local Artificial Intelligence Mandates (March 19, 2025). Available at SSRN: https://ssrn.com/abstract=5023685 or http://dx.doi.org/10.2139/ssrn.5023685

Shanthikumar, Devin M. and Yoo, Il Sun, Artificial Intelligence and Analyst Productivity (November 30, 2024). Available at SSRN: https://ssrn.com/abstract=5040339 or http://dx.doi.org/10.2139/ssrn.5040339

Vyas, Anshul, Revolutionizing Risk: The Role of Artificial Intelligence in Financial Risk Management, Forecasting, and Global Implementation (April 21, 2025). Available at SSRN: https://ssrn.com/abstract=5224657 or http://dx.doi.org/10.2139/ssrn.5224657

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This episode is based on the references listed above and was generated using Notebook LM and other AI tools. While I have reviewed the content for accuracy, it may still contain errors, inaccuracies, or omissions. Neither the producers nor any affiliates accept liability for any damages or losses arising from the use or interpretation of this content.