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Britain's financial regulator said major UK banks are trimming AI-related asset exposure as Morgan Stanley separately warned that leveraged AI data center debt faces a higher bar — marking a notable shift from mid-2026's aggressive AI lending posture.
A new survey finds 59% of financial institutions are deploying multi-agent AI in core workflows such as lending and claims, but only 10% have enterprise-wide governance—exposing a critical oversight gap in the systems making consequential financial decisions.
Experian has built an agentic AI operating system embedded in its credit platform that lets financial institutions automate lending decisions and fraud detection with built-in governance and audit trails.
Global bank CEOs are sprinting to deploy AI across trading and credit while the FSB and EBA warn of dangerous oversight gaps—and a systemic risk from AI infrastructure lending that few are measuring.
Machine learning drives loan approvals worldwide, but legal accountability frameworks built for human underwriters haven't been updated for algorithms operating at scale.
Major banks have crossed a threshold in 2026: autonomous AI agents are running in production across lending, fraud detection, and compliance — not just pilots.