Prediction Machines, Insurance, and Protection: An Alternative Perspective on AI's Role in Production

Ajay Agrawal, Joshua Gans and Avi Goldfarb

No 30177, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: Recent advances in AI represent improvements in prediction. We examine how decision-making and risk management strategies change when prediction improves. The adoption of AI may cause substitution away from risk management activities used when rules are applied (rules require always taking the same action), instead allowing for decision-making (choosing actions based on the predicted state). We provide a formal model evaluating the impact of AI and how risk management, stakes, and inter-related tasks affect AI adoption. The broad conclusion is that AI adoption can be stymied by existing processes designed to address uncertainty. In particular, many processes are designed to enable coordinated decision-making among different actors in an organization. AI can make coordination even more challenging. However, when the cost of changing such processes falls, then the returns from AI adoption increase.

JEL-codes: D81 O32 (search for similar items in EconPapers)
Date: 2022-06
New Economics Papers: this item is included in nep-big
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Published as Ajay Agrawal & Joshua S. Gans & Avi Goldfarb, 2024. "Prediction machines, insurance, and protection: An alternative perspective on AI’s role in production," Journal of the Japanese and International Economies, .

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Journal Article: Prediction machines, insurance, and protection: An alternative perspective on AI’s role in production (2024)
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