Winning in the New Era of AI-Powered Intelligent Banking
Retail banking in Asia Pacific is undergoing a structural reset, driven by AI. Leaders in banking could see their return on tangible equity increase by up to 4 percentage points, while a slow adoption of AI risks the erosion of existing profit pools, potentially impacting up to US$170 billion in global banking profit pools over the next decade.
The article identifies five converging pressures defining the next era of banking in Asia Pacific. One significant pressure is the potential for agentic AI to mature and shift value traditionally held within banking relationships to new intermediaries and business models. This requires banks to identify areas where AI creates competitive advantages and where it could lead to their disintermediation.
Customer relationships are also changing, as consumers may increasingly delegate financial decisions to AI-driven agents. This means banks will need to compete for selection by these intelligent systems, not just for direct customer attention. Concurrently, regulators across APAC, including APRA and ASIC in Australia, MAS in Singapore, OJK in Indonesia, RBI in India, and Bank Negara Malaysia, are increasing their focus on responsible AI, making AI governance a board-level priority.
Further pressures include the disruption of customer acquisition channels by AI-powered search and generative AI tools, which are changing how financial products are researched and selected. This emphasizes the importance of speed, relevance, and personalization. Additionally, fraud and scam networks have become more sophisticated, leveraging automation, social engineering, and AI to manipulate customers into authorizing payments, challenging traditional defenses.
These pressures reveal a common weakness in fragmented decisioning architectures that cannot adapt quickly enough to shifts in customer behavior, risks, regulations, and competition. Leading banks are reportedly addressing this by moving towards connected decisioning architectures across functions like origination, credit risk, and customer management, allowing data and intelligence to be reused enterprise-wide.
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