Most large banks have adopted AI, but few have rebuilt around it. Governance, architecture and strategic priorities will determine who scales AI successfully.
Most large banks have adopted AI, but few have rebuilt around it. Governance, architecture and strategic priorities will determine who scales AI successfully.
Key emerging trends from this year's awards show the industry's centre of gravity shifting to the foundations — data, architecture, resilience and rails — that will decide which banks can move fastest.
Banks are finding that AI credit copilots create value not through faster memo drafting alone, but by reducing review cycles, standardising credit papers and shifting human oversight from individual cases to system supervision.
Trade finance is entering a new infrastructure phase as banks move from digitising documents toward connected environments where electronic records, structured data and automated workflows can support verification, financing and supply-chain visibility across participants.
Nu Holdings reportedly explored an acquisition of Monzo that would have given the Latin American digital bank a profitable UK franchise and a regulatory platform for expansion across Europe. Nubank later said it was not pursuing a transaction.
The key difference between banks that scale AI and those building isolated use cases is not access to the technology, but the ability to deploy it repeatedly on shared platforms with governance built in.
The world’s 1,000 largest banks expanded to $180.7 trillion in assets in FY2025, but cross-tabulation shows that better asset quality is most consistently associated with scale, while greater size does not correspond consistently with faster growth, higher returns or better efficiency.
The 2026 Largest and Strongest Islamic Banks rankings show that scale provides a clear advantage, but banks that translate growth into sustainable earnings, operating efficiency and resilience are making that advantage count.