The effective use of AI in market risk: cutting through the hype

This briefing from the Risk.net Market Risk Leaders’ Network held in London in September 2026 captures insights from senior market risk professionals on how institutions are consolidating AI tools, tightening governance and preparing their teams for a technology that changes faster than the frameworks designed to control it.

Among the takeaways:

• Banks are consolidating after a burst of artificial intelligence experimentation: firms are grading tools and cutting duplicates
• Oversight depends on what happens if an AI tool fails: anything feeding regulatory reporting or trading decisions gets the tightest controls
• Accountability stays with people: participants would not let a model set limits or approve trades
• Governance is lagging adoption: oversight committees meet monthly while staff build daily
• Data is the safest long-term bet: clean, well-documented data will be needed, whatever models come next
• The junior pipeline is at risk: banks need people who can challenge AI outputs in future

Download the report to explore how market risk leaders are bringing AI tools under control while keeping the data, governance and human judgement that risk management depends on.