Retail banking in Asia Pacific is undergoing a structural reset. The forces reshaping the industry are changing how growth is won, how risk is managed, and how customer relationships are built and defended.

Banks still treating AI primarily as a technology upgrade risk falling behind those redesigning their decisioning architecture around it.

The economics are becoming difficult to ignore. AI leaders in banking could lift return on tangible equity by up to 4 percentage points.

But the downside of moving too slowly is not simply missed opportunity. It is the potential erosion of existing profit pools.

AI could erode up to US$170 billion in global banking profit pools over the next decade

As agentic AI matures, value traditionally captured within banking relationships could increasingly migrate to new intermediaries, platforms, and business models.

Banks need to determine where AI creates advantage and where it could disintermediate them.

When AI agents begin comparing products, evaluating offers, and influencing or executing financial decisions, banks will need to compete not only for customers’ attention, but also for selection by the intelligent systems acting on their behalf.

Across APAC, regulators including APRA and ASIC in Australia, MAS in Singapore, OJK in Indonesia, RBI in India, and Bank Negara Malaysia are placing greater emphasis on responsible AI.

Banks increasingly need to demonstrate that AI-driven decisions can be explained, governed and monitored.

This elevates AI governance from a compliance requirement to a board-level priority.

Customer loyalty is collapsing, and the acquisition channel is being disrupted by AI-powered search and generative AI tools

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