AI in finance shortens investment return lifespans, study finds

A new research paper posits that the widespread adoption of AI in finance leads to a self-defeating cycle, significantly eroding investment returns. The study introduces the concept of an "alpha half-life," which dramatically shortens as more AI strategies are deployed, leading to homogenization and faster signal decay. This phenomenon, termed the Red Queen competition, suggests that while AI investment increases, net alpha can become zero, creating a fragility-efficiency tradeoff in market dynamics. AI

IMPACT AI adoption in finance accelerates signal decay and reduces investment returns, creating market fragility.

RANK_REASON The cluster contains a research paper detailing theoretical and empirical findings on AI's impact on financial markets. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.AI →

• AI
• Algorithmic Homogenization
• Alpha Decay
• Intelligent Markets
• Red Queen competition
• Reflexive Signal Erosion
• SEC Form 13F

• paper
• other

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