After years spent proving AI could cut costs, banks are now asking whether AI can grow revenue. Leading institutions have shifted their AI investment thesis from defensive efficiency to offensive growth as financial media networks turn checking accounts into ad-supported assets, predictive engines drive lifts in non-interest income and AI-powered embedded finance creates entirely new revenue streams. This session looks at the business case for revenue-focused AI, measuring top-line impact beyond vague "customer satisfaction" metrics, and navigating organizational resistance when AI disrupts established revenue models. Learn why the banks winning on AI aren't always the ones with the best models—they're the ones who figured out how to charge for them.