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The institutions setting the terms for tokenised and artificial-intelligence-native finance this week were not the challengers. They were the incumbents and their regulators, each moving on a timetable of its own choosing rather than the market's. A central bank launched settlement infrastructure it built itself. Two American regulators said they would write crypto rules without Congress. A neobank opened a stablecoin-linked US account before its banking charter had cleared. None of this waited for consensus, and banks that are still waiting for one are already behind.

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We think this week shows that banking's fastest-growing frontier is now regulatory access, not invention. Crypto-native start-ups and global consumer banks alike are being handed the same full charters, licences and central bank rails that incumbents spent a century building, while the underlying technology itself is not new. What has changed is that supervisors are now willing to stamp it, and banks that treated tokenisation and stablecoins as someone else's experiment are discovering the licensing queue has a limit.

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During The Asian Banker Summit 2026, technology leaders from Hong Leong Bank, Maybank, State Bank of India and Ant Digital Technologies argued that artificial intelligence is forcing banks to confront the operating foundations that will determine whether automation becomes a source of advantage or exposure.

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Malaysian banks' net profit was broadly flat in the first half of 2026 (1H2026), but their core lending businesses did not drive the result. Retail banking profit fell or stalled at most large groups, while corporate banking profit was likely flat. Treasury and markets income, wealth management and fund management provided most of the growth. Hong Leong Bank and Alliance Bank were the clearest exceptions, with broad-based operating strength.

Mobile banking development cycles fall from more than a year under traditional waterfall processes to only weeks as cloud infrastructure, modular architecture, configurable products and smaller teams reduce hand-offs and rework. But faster development does not always mean faster launches, as testing, security, data readiness, certification, partner coordination and customer adoption can still slow delivery.

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