Hedging the Singularity

2026-04-18

AI Summary

This study addresses the puzzlingly high valuations of AI-related stocks by incorporating the risk of an artificial intelligence singularity—specifically, the tail risk of widespread consumer displacement—into an asset pricing framework. It develops a macro-finance model under incomplete markets, where AI stocks serve as a hedge against this singularity-driven consumption substitution risk, thereby rationalizing their significant risk premium. The analysis reveals that market incompleteness induces dual distortions: inflating AI asset valuations while simultaneously impairing the efficiency of AI-driven economic development. Moreover, the paper demonstrates that when singularity-induced growth outweighs the associated allocative inefficiency, government intervention via transfers becomes economically justified, offering a theoretical foundation for policy design in emerging AI economies.

Technology Category

• Philosophy and Ethics of AI: Artificial General Intelligence
• Game Theory and Economic Paradigms: Imperfect Information
• Humans and AI: Learning Human Values and Preferences

Application Category

• Economics, Online Markets and Human Computation: Economic ramifications for generative AI infrastructure and applications
• Security and Privacy: Security and privacy of machine learning and AI applications
• Semantics and Knowledge: Methods to enhance, augment, integrate or synergize semantic models such as knowledge graphs and LLMs

Abstract

AI stocks trade at extraordinary valuations. We develop an asset pricing model in which investors use AI stocks to hedge against an AI singularity that displaces their consumption. Because markets are incomplete -- investors cannot trade private AI capital -- AI stocks command a premium. Market incompleteness distorts both valuations and the efficient development of AI, creating a rationale for government transfers that becomes compelling when singularity-driven growth overwhelms deadweight costs. This paper was generated by AI, using https://github.com/chenandrewy/ralph-wiggum-asset-pricing/.

Problem

• AI singularity
• asset pricing
• market incompleteness
• valuation distortion
• AI stocks

Innovation

• AI singularity
• asset pricing
• market incompleteness
• hedging
• government intervention