AI-Driven Market Shocks

Explore the risk landscape of rapid AI-driven productivity and automation for markets and institutions. Build a risk assessment framework for financial stability and real-economy performance, covering adoption timelines, sector heterogeneity, and information asymmetries. Propose governance guardrails, regulatory guidelines, and workforce transition strategies that maximize societal benefits while mitigating risks such as concentration, bias, and operational fragility. Include scenario planning and indicators to monitor exposure across industries.