The financial system runs on code now more than it ever has. Machine learning models approve your loan application, algorithmic trading systems execute trillions in daily transactions, and AI-powered fraud detection sits between you and financial crime. Yet the regulators charged with preventing the next systemic crisis are openly acknowledging they remain fundamentally unprepared to manage the risks embedded in these systems. That candid admission, delivered by Michelle W. Bowman, Vice Chair for Supervision at the Federal Reserve , signals both progress and peril in how American financial regulation is confronting artificial intelligence. Bowman's address to the Financial Stability Oversight Council AI Series Roundtable in early May 2026 arrived at a critical inflection point. The banking sector had already begun deploying machine learning at scale—not as a novelty, but as operational infrastructure.…