AI index slices · computed from bank profiles via the AI index; nothing on this page is written by a model. All ranked answers: /banks/leaders
On the public record as of Oct 28, 2026, 5 of the 141 large banks profiled are Asia-Pacific banking groups profiled on this site. Ranked by AI index score (/100), the top 5 are Commonwealth Bank (87.8 index points), DBS (86.3 index points), OCBC (73.3 index points), MUFG (72.8 index points) and UOB (42.0 index points). Commonwealth Bank's strongest evidence: Index score 87.8/100: 16 of 20 use cases in production, platform AI Factory, Customer Engagement Engine and CommBank Companion, 20 independent of 54 sources.
141 banks profiled (120 US, 21 non-US) · 5 with matching evidence · ranked answer, not a comparison
Which of the Asia-Pacific banks lead in AI?
| # | Bank | AI index score (/100) | Index components | Status | Date | On this site | Sources |
|---|---|---|---|---|---|---|---|
| 1 | Commonwealth Bank | 87.8 | Index score 87.8/100: 16 of 20 use cases in production, platform AI Factory, Customer Engagement Engine and CommBank Companion, 20 independent of 54 sources | AI programme disclosed | Oct 13, 2026 | Commonwealth Bank profile → | Commonwealth Bank of Australia ↗ · Commonwealth Bank of Australia ↗ |
| 2 | DBS | 86.3 | Index score 86.3/100: 11 of 17 use cases in production, platform ADA, DBS-GPT and the agent control plane, 29 independent of 50 sources | AI programme disclosed | Oct 26, 2026 | DBS profile → | DBS Group Holdings ↗ · DBS Group Holdings (reprint of a Business Times interview) ↗ |
| 3 | OCBC | 73.3 | Index score 73.3/100: 11 of 14 use cases in production, platform OCBC GPT, HELIOS and OCBC WoW, 22 independent of 32 sources | AI programme disclosed | Oct 13, 2026 | OCBC profile → | Oversea-Chinese Banking Corporation ↗ · Oversea-Chinese Banking Corporation ↗ |
| 4 | MUFG | 72.8 | Index score 72.8/100: 6 of 16 use cases in production, platform Hello AI@MUFG, ChatGPT Enterprise, Jinba and AI credit experts, 17 independent of 52 sources | AI programme disclosed | Oct 19, 2026 | MUFG profile → | Mitsubishi UFJ Financial Group, Inc. ↗ · Mitsubishi UFJ Financial Group, Inc. ↗ |
| 5 | UOB | 42.0 | Index score 42.0/100: 8 of 12 use cases in production, platform Enterprise GenAI Platform, Microsoft Copilot and UOB TMRW, 7 independent of 20 sources | AI programme disclosed | Oct 24, 2026 | UOB profile → | United Overseas Bank ↗ · The Business Times ↗ |
Each row quotes one record from bank profiles via the AI index; the “On this site” link opens the bank's own page or sub-page with every source. Banks absent from the table have nothing matching on the record this site holds.
How is this ranked?
Data: the AI disclosure index (/banks/ai-index): eight components of the public record on AI (independent coverage, use cases in production, a named platform, own disclosures, moves in the last twelve months, numbers, leaders, use cases described), each a percentile rank; peer group: Asia-Pacific banking groups profiled on this site.
Rule: The peer group filtered from the index, in index order (score, then independent coverage, then assets). The score is the bank's percentile rank on each component against the full index set, weighted and summed; a bank that has disclosed no AI programme is capped at 30.
Counts: 5 of 141 profiled banks qualify; 10 distinct sources cited in the table. Data checked 2026-10-28; ranking template updated 2026-10-30.
What are the caveats?
The index measures depth of the public record, not capability; a bank that builds quietly ranks below one that publishes.
Banks absent from the table have nothing matching on the record this site holds, which is not evidence that they do nothing. Each row links the bank's own page, where every entry carries its sources.
Which bank ranks first?
Commonwealth Bank of Australia leads with 87.8 index points: Index score 87.8/100: 16 of 20 use cases in production, platform AI Factory, Customer Engagement Engine and CommBank Companion, 20 independent of 54 sources. DBS is second with 86.3.
How many large banks in Asia-Pacific rank on the AI-index formula?
5 of the 141 profiled banks (120 US, 21 non-US groups). Among those listed, 0 are US banks and 5 non-US groups.
What counts, and what does not?
The peer group filtered from the index, in index order (score, then independent coverage, then assets). The score is the bank's percentile rank on each component against the full index set, weighted and summed; a bank that has disclosed no AI programme is capped at 30. Source: the AI disclosure index (/banks/ai-index): eight components of the public record on AI (independent coverage, use cases in production, a named platform, own disclosures, moves in the last twelve months, numbers, leaders, use cases described), each a percentile rank; peer group: Asia-Pacific banking groups profiled on this site.
Is this a measure of capability?
No. Every row is a sourced fact on the public record: what the bank, a regulator, a filing or an independent outlet has put on the record. The page does not rate how well anything works.
When was this checked, and how often does it update?
The data behind the table was last checked on 2026-10-28 (bank profiles via the AI index). The page recomputes whenever that dataset changes and is republished with the site; it is never edited by hand.
When any of these banks moves on AI, you'll read it the next morning.
when one of the banks we cover moves on AI, it is in the next morning's brief · six sourced stories · 7 am PT · free
plus every regulation, bank and agent page update, the morning after · leave any morning