Despite the surge in AI-driven ambition across banking, Candice Nonas argues most institutions still don’t know how to manage the technology responsibly. AI is being built on weak data foundations, often siloed and developed without central governance. As regulatory pressures mount and Basel III endgame approaches, she says banks must recognize that strong AI implementation starts with enterprise-wide risk alignment, not just flashy innovation.

But the issue runs deeper. According to Nonas, financial institutions still treat risk leaders as cleanup crews rather than strategic allies. Whether navigating M&A integrations or launching new products, engaging risk professionals too late leads to costly oversights. Her call to action is bold: CEOs must not only treat data as a growth asset but also elevate risk teams as enablers of innovation. It’s not just about regulatory compliance—it’s about competitive survival.