Each page below answers one “which large banks lead in …” question with a ranked table computed from the 140 bank pages on this site, a stated method, the caveats, and a link to every bank's record. In one line each: AI leaders: BofA, TD and Citi, by disclosure score, production use cases and named platforms. Technology leaders: JPMorgan, BofA and Citi, by disclosed technology spending, technologists and cloud scale. Proprietary platforms: 99 of 140 banks name one; BofA (Erica (and EricaAssist)), TD (Layer 6 and TD AI Prism), Citi (Citi Stylus Workspaces) lead. Modern technology stack: Arvest, Texas Capital and Deutsche Bank, by disclosed cloud migration, core modernisation and API numbers. Responsible AI: Citizens Business Bank, Synchrony and Banner Bank, by named AI councils, risk frameworks and responsible-AI officers. AI adoption in 2026: Amex, SoFi and HSBC, by dated 2026 production rollouts and moves. Research, patents and partnerships: USAA, TD Bank Group and BofA, by disclosed patents, research deals and model-provider partnerships. Agentic AI: Amex, Commonwealth Bank and Deutsche Bank (U.S.); 76 of 140 banks have an agent in production. Generative AI with customers: 32 of 140 banks have one in production; BBVA, BNP Paribas and Société Générale lead on stage and scale. Fraud and credit AI: Zions, Citi and Western Alliance; 104 banks run fraud AI and 57 credit AI in production. None of the rankings measures capability; each measures what is on the public record and says so.
Which questions are answered, and who leads?
| # | Question | One-line answer | Banks with evidence |
|---|---|---|---|
| 1 | Which large banks are the leaders in AI? | BofA, TD and Citi, by disclosure score, production use cases and named platforms. | 123 of 140 |
| 2 | Which large banks lead in technology? | JPMorgan, BofA and Citi, by disclosed technology spending, technologists and cloud scale. | 94 of 140 |
| 3 | Which large banks have built proprietary AI platforms? | 99 of 140 banks name one; BofA (Erica (and EricaAssist)), TD (Layer 6 and TD AI Prism), Citi (Citi Stylus Workspaces) lead. | 99 of 140 |
| 4 | Which large banks have a modern technology stack? | Arvest, Texas Capital and Deutsche Bank, by disclosed cloud migration, core modernisation and API numbers. | 110 of 140 |
| 5 | Which large banks lead in responsible AI? | Citizens Business Bank, Synchrony and Banner Bank, by named AI councils, risk frameworks and responsible-AI officers. | 106 of 140 |
| 6 | Which banks are leading AI adoption in 2026? | Amex, SoFi and HSBC, by dated 2026 production rollouts and moves. | 140 of 140 |
| 7 | Which large banks lead in AI research, patents and partnerships? | USAA, TD Bank Group and BofA, by disclosed patents, research deals and model-provider partnerships. | 124 of 140 |
| 8 | Which banks lead in agentic AI? | Amex, Commonwealth Bank and Deutsche Bank (U.S.); 76 of 140 banks have an agent in production. | 100 of 140 |
| 9 | Which large banks use generative AI with customers? | 32 of 140 banks have one in production; BBVA, BNP Paribas and Société Générale lead on stage and scale. | 49 of 140 |
| 10 | Which banks lead in AI for fraud detection and credit decisioning? | Zions, Citi and Western Alliance; 104 banks run fraud AI and 57 credit AI in production. | 131 of 140 |
How are these rankings built, and how do they differ from the AI index?
Every ranking is recomputed from the bank pages whenever one is updated. Each page states its scoring rule, counts only entries that carry a source on the bank's page, and shows “not disclosed” where a bank has said nothing rather than estimating. The AI index is the broad measure (eight components of AI disclosure, US banks only); these pages are narrower cuts of the same records, several of them extended to the 20 non-US groups. The technology leaders and generative AI guides are hand-written cross-bank tables that the technology and customer-genAI rankings draw on.
Which large banks are the leaders in AI?
On the public record, the large banks leading in AI in 2026 are BofA, TD, Citi, Amex and Commonwealth Bank: BofA scores 95.9 / 100 with 16 of 18 described AI use cases in production and a named platform, Erica (and EricaAssist); TD scores 91.1 / 100 with 13 of 18 described AI use cases in production and a named platform, Layer 6 and TD AI Prism; Citi scores 89.3 / 100 with 15 of 20 described AI use cases in production and a named platform, Citi Stylus Workspaces; Amex scores 89.2 / 100 with 11 of 22 described AI use cases in production and a named platform, Agentic Commerce Experiences (ACE) and Amex Agent Purchase Protection; Commonwealth Bank scores 88.9 / 100 with 16 of 20 described AI use cases in production and a named platform, AI Factory, Customer Engagement Engine and CommBank Companion. The score is the AI-index formula (independent coverage, use cases in production, a named platform, own disclosures, recent moves, numbers and leaders) applied to all 140 profiled banks; 98 of the 123 that disclose an AI programme have named a platform.
Which large banks lead in technology?
By what they disclose about technology, the large banks that lead are JPMorgan, BofA, Citi, Amex and Morgan Stanley: JPMorgan (about $19.8 billion technology expense outlook for 2026, up 10%); BofA ($14 billion a year, of which more than $4.1 billion for new initiatives including AI); Citi (2025 10-K line: Technology/communication: $9.4 billion); Amex ($5 billion a year on technology (CEO Stephen Squeri, January 2026)); Morgan Stanley (2025 10-K line: Information processing and communications: $4.4 billion). The first 8 rows are the banks with a comparable published technology figure, in the order of the technology-leaders guide; the rest have disclosed a technology, engineering or cloud number that cannot be compared with a budget. 46 profiled banks have disclosed no technology figure at all.
Which large banks have built proprietary AI platforms?
99 of the 140 profiled banks have named an in-house AI platform or programme on the record. Ranked by the depth of what they disclose about AI, the leaders are BofA (Erica (and EricaAssist)), TD (Layer 6 and TD AI Prism), Citi (Citi Stylus Workspaces), Amex (Agentic Commerce Experiences (ACE) and Amex Agent Purchase Protection) and Commonwealth Bank (AI Factory, Customer Engagement Engine and CommBank Companion). BofA's Erica (and EricaAssist): Erica interactions: 3 billion+ cumulative; 2 million a day (Jan 22, 2026); TD's Layer 6 and TD AI Prism: Layer 6 use cases / patents: ≈ 100 / 150+ (Jan 16, 2026); Citi's Citi Stylus Workspaces: scale not disclosed; Amex's Agentic Commerce Experiences (ACE) and Amex Agent Purchase Protection: scale not disclosed; Commonwealth Bank's AI Factory, Customer Engagement Engine and CommBank Companion: Measured gross benefits from AI use cases (including reinvested capacity): about A$200 million in FY26, of which about A$100 million incremental in-year; expected to double in FY27 and exceed investment (Jun 30, 2026). 41 banks run AI without naming a platform, or have disclosed none.
Which large banks have a modern technology stack?
Judged by what they disclose about cloud migration, core-banking modernisation and APIs, the large banks with the most evidence of a modern stack are Arvest, Texas Capital, Deutsche Bank, Citizens and Central Bank: Arvest (Cloud migration timeline: ≈ 2.5 years in; completion slated for 2027 (Sep 9, 2024); Time to build first…); Texas Capital (Processes mapped for firm-wide agents / internal APIs: > 170 / > 250 (Apr 23, 2026); Critical infrastructure…); Deutsche Bank (Private Bank targets: KYC manual handling time / mortgage handling time / core platforms / inquiries…); Citizens (Applications migrated to cloud: 700 in four years (Jun 1, 2026); Cloud move results: 25 data centres closed…); Central Bank (Core modernisation spend capitalised to date: $12 million (Jun 30, 2026); Core modernisation spend…). 36 of the 140 profiled banks have published a number for cloud, core or API modernisation; 74 more have dated a move without a figure; 30 disclose nothing on the subject.
Which large banks lead in responsible AI?
On what they have put on the record, the large banks leading in responsible AI are Citizens Business Bank, Synchrony, Banner Bank, Barclays and TD Bank Group: Citizens Business Bank (AI Policy, Policy Framework and AI Governance Council · AI Governance Council approval…); Synchrony (Board Technology Committee oversight of generative and agentic AI · Responsible AI…); Banner Bank (Generative AI policy and Fintech Council vetting · Model Risk team under the Chief Risk…); Barclays (AI Policy, AI Standard and Group AI Governance Council · Model risk framework aligned to…); TD Bank Group (Responsible AI Principles and Trustworthy AI team · AI inside the model risk and…). 92 of the 140 profiled banks name an AI governance structure (a responsible-AI framework or principles, an AI risk committee or council, board oversight, or model validation extended to AI); 34 name an officer whose role is AI governance, AI risk, model risk or responsible AI. Disclosure of governance is not proof that it works.
Which banks are leading AI adoption in 2026?
Counting dated AI moves this year, with production rollouts weighted double, the banks leading AI adoption in 2026 are Amex, SoFi, HSBC, HSBC USA and JPMorgan: Amex (31 moves · 6 rollouts; latest: Next-generation Amex Corporate launched, with AI agents planned for fall (Sep…); SoFi (26 moves · 8 rollouts; latest: SoFiUSD settlement live on Mastercard (Sep 22, 2026)); HSBC (25 moves · 8 rollouts; latest: HSBCnio launches at Sibos (Sep 29, 2026)); HSBC USA (27 moves · 6 rollouts; latest: HSBCnio launches for corporate and institutional clients (Sep 29, 2026)); JPMorgan (29 moves · 5 rollouts; latest: Testing Anthropic's Mythos; Dimon warns on cyber (Apr 14, 2026)). Across the 140 profiled banks, 140 have a dated AI move in 2026 and the pages record 255 entries dated 2026 that describe a launch, go-live or production deployment.
Which large banks lead in AI research, patents and partnerships?
By the patents, research collaborations, model-provider deals and venture activity on the record, the large banks that lead are USAA, TD Bank Group, BofA, HSBC and RBC: USAA (Issued patents / of which AI-space: More than 3,000 / more than 240 (Apr 23, 2026)); TD Bank Group (Share of bank AI research publications, 2024: 4% (fifth among banks); Layer 6 had filed…); BofA (AI/ML patents and applications: ≈ 1,100 (Oct 1, 2024)); HSBC (Patents and research papers: More than 50 active patents, about 150 pending…); RBC (Patent filings since 2019: 1,200+, of which 635 related to AI (Oct 31, 2025)). 124 of the 140 profiled banks have a patents-and-partners record; 55 disclose patents (grants and filings are labelled separately, because a filing is not a grant).
Which banks lead in agentic AI?
By AI agents described on the record, weighted by stage, the banks leading in agentic AI are Amex, Commonwealth Bank, Deutsche Bank (U.S.), Axos Bank and Barclays: Amex (5 in production of 12; ACE developer kit (in production) · Agent Purchase Protection (in production) · Graphite…); Commonwealth Bank (7 in production of 9; Agentic fraud-pattern detection and rule generation (in production) · Virtual messaging…); Deutsche Bank (U.S.) (5 in production of 7; Agentic-AI risk factor and AI control framework (in production) · Agent and trustee…); Axos Bank (5 in production of 7; AI-assisted software development (in production) · OutSystems Agent Workbench agents (in…); Barclays (5 in production of 7; Microsoft 365 Copilot and colleague agents (in production) · GenAI contact-centre call…). 76 of the 140 profiled banks describe at least one agent in production; 100 have an agent use case or a dated agent move of any stage.
Which large banks use generative AI with customers?
32 of the 140 profiled banks describe a customer-facing generative or conversational AI system in production, and 49 describe one at any stage. The leaders by stage and disclosed scale are BBVA, BNP Paribas, Société Générale, Fulton and ING: BBVA (Blue, the customer assistant · AI Banker, AutoPF and…, in production; Relationship-manager conversations filtered by assistants (Spain)…); BNP Paribas (HelloïZ virtual assistant at Hello bank! · Nickel Assist ·…, in production); Société Générale (ELIOTT and SoBot assistants · Anthropic Claude models…, in production; ELIOTT conversations managed: 4 million a year (Feb 1, 2025)); Fulton (AI chatbot on the Blue Foundry welcome page · NICE Expert…, in production; Customer interactions serviced a year (contact centre, sales…); ING (GenAI contact-centre chatbots · Wholesale banking…, in production; Dutch positions at risk from AI (collective-dismissal estimate)…). Most customer-facing systems are account assistants in the mobile app; a few are advisers' client-facing tools or dealer and merchant assistants.
Which banks lead in AI for fraud detection and credit decisioning?
By fraud, AML and credit AI use cases in production, the banks that lead are Zions, Citi, Western Alliance, FNBO and SoFi: Zions (6 in production of 9; Fraud-related loan loss, Q3 2025: $50 million (Oct 20, 2025)); Citi (7 in production of 7; Cards approval-rate gain from new AI models: +100 basis points (May…); Western Alliance (6 in production of 6; Fraudulent class-action claims prevented in 2024: 723 million+ (Apr…); FNBO (5 in production of 7; Fraud-case investigation with Pindrop Fraud Assist…); SoFi (6 in production of 7; Quality reached by Poetic's AI on end-to-end fraud investigations…). 104 of the 140 profiled banks describe AI for fraud detection or AML in production and 57 describe AI in credit decisioning in production; fraud is the most widely disclosed AI use in banking, credit the most regulated.
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 ET · free
plus every tracker, bank and agent page update, the morning after · leave any morning