Artificial intelligence in UK financial services - 2026

While not a policy document, the findings will inform supervisory expectations and highlight areas of regulatory focus. Compliance teams should proactively review the survey's insights to benchmark their own AI governance, model risk management, and data ethics frameworks against industry peers. Key takeaways likely include the need for robust explainability, bias testing, and operational resilience in AI systems.

Firms should consider conducting internal gap analyses, updating AI policies, and preparing for potential future guidance. The report also underscores opportunities for firms to leverage AI for efficiency and innovation while managing risks. Actionable steps: map AI use cases, strengthen third-party risk management for AI vendors, and ensure board-level oversight of AI risks.