Smart economies are beginning to make decisions and act across transport, energy, commerce and finance. Banking’s next shift may follow: AI agents could move from advising customers to initiating transactions, coordinating services and managing financial outcomes on their behalf. That prospect raises a structural question: can systems built around human instructions, batch payments and familiar forms of accountability support finance conducted at machine speed? The answer depends on more than a smarter interface. It requires new architecture, agentic compliance and risk controls that preserve human oversight where it matters. Banking 5.0 sets out the case for that transition and what separates structural change from a chatbot layered over legacy systems.

By 2027, most financial institutions will have adopted the same AI tools—and discovered that tools alone change nothing. The real divide is opening between firms that bolt technology onto legacy structures and those bold enough to rebuild how they actually operate. Org charts, decision rights, and the boundary between human and machine are all up for grabs. Learn how leading institutions are redesigning operating models around AI and agents, what structural changes turn transformation into durable advantage, and where incumbents most often stall.

Banks are racing toward agentic infrastructure. Few can rebuild core banking, payments and risk management at once without the upgrade itself becoming the systemic risk. As autonomous agents move from pilots into production, institutions face a real choice: accelerate the rebuild, or slow down until controls and supervisors catch up. The panel pressure-tests both paths: what a credible migration sequence looks like, where legacy risk controls break under autonomous decision-making, and when deliberately slowing down is the smarter strategic call rather than a failure of nerve.