AI Could Upend Market Trust, Jackson Hole Economists Warn

The Federal Reserve Bank of Kansas City’s Jackson Hole symposium is a key forum for global central bankers to examine monetary policy and financial stability. As artificial intelligence moves deeper into trading, lending and risk management, reliance on common models and a small group of providers could amplify correlated errors, market manipulation and operational failures, turning technological concentration into a systemic threat and weakening trust in financial institutions.

Princeton University economist Markus Brunnermeier told policymakers on Aug. 29, 2026, that AI agents could interpret central-bank signals faster than humans and potentially outmaneuver regulators. He outlined scenarios in which the Federal Reserve might communicate separately with people and machines, retreat from transparency or intervene more directly in credit markets. Scholars also urged regulators to assess powerful models before public release and warned that control concentrated among a few companies could create a critical bottleneck for finance.