5 Challenges Banks Must Face Now to Enable AI Transformation Instead of Holding Back
Banks are pouring billions into technology, yet many remain trapped in outdated systems that stifle AI adoption. While AI is projected to drive $2 trillion in banking profits by 2028, most institutions struggle to bridge the gap between ambition and execution.
Tech debt, inefficient IT spending, and rigid compliance structures slow transformation. Some banks push forward with AI-driven innovation, while others remain constrained by legacy models.
The road to AI success is full of trade-offs. How can banks move beyond the bottlenecks and unlock real impact? These five key challenges will determine whether AI becomes a competitive edge—or just another missed opportunity.
