Bank of America leads the 120 largest US banks on the depth of its public AI record with 97.3 of 100 points, followed by Citi, Amex, TD, Wells Fargo and JPMorgan. 80 of the 120 have named an AI platform or programme; 17 have not disclosed an AI programme, leader, vendor or budget at all. The index counts only what a bank has put on the record, or outside outlets have reported, and the bank's page on this site cites; it measures disclosure, not capability.
Which large US banks lead in AI and technology?
On the depth of the public record, the ten large US banks that lead on AI are BofA, Citi, Amex, TD, Wells Fargo, JPMorgan, BNY, Santander, Capital One and BMO: the top ten of this index, which scores the 120 largest US banks on what each has disclosed about AI and what outside outlets have reported. On Evident's AI index, which ranks the 50 largest banks in North America, Europe and Asia-Pacific by AI capabilities, JPMorgan Chase was first and Capital One second in October 2025, the third edition running in which the two led; the other US banks in Evident's top ten were Morgan Stanley, Wells Fargo, Goldman Sachs and Bank of America. Neither ranking measures technology spending or technology leadership in general.
| # | Bank | Named AI platform or programme | Score | Independent / all sources |
|---|---|---|---|---|
| 1 | BofA | Erica (and EricaAssist) | 97.3 / 100 | 37 / 70 |
| 2 | Citi | Citi Stylus Workspaces | 94.7 / 100 | 42 / 65 |
| 3 | Amex | Agentic Commerce Experiences (ACE) and Amex Agent Purchase Protection | 93.1 / 100 | 30 / 71 |
| 4 | TD | Layer 6 and TD AI Prism | 91.5 / 100 | 27 / 55 |
| 5 | Wells Fargo | Fargo and the Google Cloud agent stack | 90.3 / 100 | 35 / 60 |
| 6 | JPMorgan | LLM Suite | 89.8 / 100 | 43 / 73 |
| 7 | BNY | Eliza | 89.7 / 100 | 29 / 58 |
| 8 | Santander | ONE Transformation: shared platforms, AI for every employee, agentic commerce | 89.4 / 100 | 25 / 49 |
| 9 | Capital One | Chat Concierge and the in-house agent stack | 86.3 / 100 | 25 / 75 |
| 10 | BMO | Lumi, Aura and the Institute for Applied AI & Quantum | 85.5 / 100 | 16 / 50 |
Top ten of the index below, recomputed from the bank pages as of Oct 25, 2026. Evident's ranking: American Banker, “JPMorganChase, Capital One top AI ranking, once again”, Oct 8, 2025 ↗.
Why does this ranking differ from Evident's AI index?
They measure different things. Evident rates AI capability: it tracks banks' use cases, research papers, patents and ventures from public information and validates the ranking with some data banks supply privately. This index measures only the public record the bank's page on this site cites, ranked against the other 119 US banks, with 45% of the weight on independent coverage and the rest on use cases, platform, own disclosures, recent moves, numbers and leaders. A bank that does a great deal but describes few systems publicly scores lower here than on Evident. JPMorgan Chase, Evident's leader, is #6 of 120 here with 89.8 points: it sits at the 100th percentile on independent coverage and the 98th percentile on disclosed numbers, but its page records 8 AI use cases in production (of 16 described), which puts it at the 39th percentile on that component. Capital One, Evident's second, is #9 here. The method is set out below.
Also answered on this page: technology leaders · adoption in 2026 · proprietary platforms · responsible ai.
Which large banks lead in technology overall?
By disclosed technology spending, JPMorgan leads the large US banks (about $19.8 billion technology expense outlook for 2026, up 10%), followed by BofA, Citi and Amex. The technology leaders page ranks 8 large banks with a comparable published figure and adds technologist headcounts, cloud and platforms.
Data as of Oct 5, 2026. Ordered by the largest technology figure each bank has published (a stated budget, otherwise the 2025 Form 10-K technology line). The technology guide ranks the 8 largest banks with a figure that can be compared, so the table has 8 rows. Methodology. Large banks ranked by technology spending, with headcount, cloud and platforms →
Which banks are leading AI adoption and innovation in 2026?
Counting AI systems in production and new AI moves this year, BofA leads the large US banks in 2026, followed by Citi, Wells Fargo, BMO and Amex. BofA's page records 16 AI use cases in production and 29 dated AI moves in 2026, each with a source.
| # | Bank | In production, moves this year, latest move | Source |
|---|---|---|---|
| 1 | BofA | 16 AI use cases in production; 29 dated AI moves in 2026; latest: Treasury, FinCEN and OCC impose $1.21 billion in AML and sanctions penalties (2026-10-13) | U.S. Department of the Treasury ↗ |
| 2 | Citi | 15 AI use cases in production; 31 dated AI moves in 2026; latest: Payments chief: no AI model to authorise payments (2026-10-01) | American Banker ↗ |
| 3 | Wells Fargo | 14 AI use cases in production; 29 dated AI moves in 2026; latest: Q3 2026 call: AI agents in code, marketing, cyber, underwriting (2026-10-13) | PYMNTS ↗ |
| 4 | BMO | 14 AI use cases in production; 29 dated AI moves in 2026; latest: Evident AI Index 2026: top 20 overall, #2 for AI outcomes (2026-10-06) | BMO (CNW via FT Markets) ↗ |
| 5 | Amex | 13 AI use cases in production; 32 dated AI moves in 2026; latest: Intent Intelligence framework published (2026-10-13) | American Express via FT Markets ↗ |
| 6 | Huntington | 15 AI use cases in production; 24 dated AI moves in 2026; latest: Named a Coverbase enterprise customer (2026-09-29) | Coverbase (GlobeNewswire) ↗ |
| 7 | U.S. Bank | 16 AI use cases in production; 23 dated AI moves in 2026; latest: Venkatachari: from proving AI to industrializing it (2026-10-07) | Forbes (Yahoo Finance) ↗ |
| 8 | SoFi | 14 AI use cases in production; 26 dated AI moves in 2026; latest: SoFiUSD settlement live on Mastercard (2026-09-22) | Business Wire via FT Markets ↗ |
| 9 | Schwab | 15 AI use cases in production; 23 dated AI moves in 2026; latest: How Charley was built: employee testing, confirmation before any change (2026-10-08) | Traders Magazine ↗ |
| 10 | Truist | 14 AI use cases in production; 23 dated AI moves in 2026; latest: Mid-table on AI-judged reputation (2026-09-18) | American Banker ↗ |
Data as of Oct 25, 2026. Ordered by two of the index components, each as a percentile rank among the banks that disclose an AI programme: use cases in production and dated moves since January 1, 2026, weighted equally; ties by AI index rank. Methodology.
Which large banks have built proprietary AI platforms?
80 of the 120 largest US banks have named an in-house AI platform or programme on the record. The leaders on the AI index: BofA: Erica (and EricaAssist); Citi: Citi Stylus Workspaces; Amex: Agentic Commerce Experiences (ACE) and Amex Agent Purchase Protection; TD: Layer 6 and TD AI Prism; Wells Fargo: Fargo and the Google Cloud agent stack.
| # | Bank | Named platform | Source |
|---|---|---|---|
| 1 | BofA | Erica (and EricaAssist): The AI virtual assistant launched in 2018 — nearly 50 million users and more than 3 billion interactions by August 2025 — now also runs as… | Bank of America Newsroom ↗ |
| 2 | Citi | Citi Stylus Workspaces: The most broadly available AI tool for Citi staff, rolled out in late 2024 | The Wall Street Journal ↗ |
| 3 | Amex | Agentic Commerce Experiences (ACE) and Amex Agent Purchase Protection: Launched April 14, 2026, the ACE developer kit lets businesses integrate Amex payments into their AI-agent experiences, and Amex Agent Purchase… | American Express ↗ |
| 4 | TD | Layer 6 and TD AI Prism: Layer 6, the AI research centre TD acquired in 2018, builds the group's models in-house: TD AI Prism, a predictive foundation model launched in June… | TD Bank Group ↗ |
| 5 | Wells Fargo | Fargo and the Google Cloud agent stack: Fargo, the consumer virtual assistant built on Google's conversational AI, went from 21.3 million interactions in 2023 and 245 million in 2024 to… | Wells Fargo ↗ |
| 6 | JPMorgan | LLM Suite: A proprietary abstraction layer through which third-party models (OpenAI, Anthropic and others) are swapped in and out | American Banker ↗ |
| 7 | BNY | Eliza: BNY's enterprise AI platform, on which nearly all employees are trained | American Banker ↗ |
| 8 | Santander | ONE Transformation: shared platforms, AI for every employee, agentic commerce: Santander's AI sits inside ONE Transformation, the group programme to run common technology platforms across its markets | Bloomberg ↗ |
| 9 | Capital One | Chat Concierge and the in-house agent stack: Chat Concierge, launched in March 2025, was the bank's first proprietary multi-agent conversational assistant, embedded on car dealers' websites to… | Capital One ↗ |
| 10 | BMO | Lumi, Aura and the Institute for Applied AI & Quantum: Lumi Assistant gives Team BMO instant access to more than 8,000 policies and procedures in English and French | BMO ↗ |
Data as of Oct 25, 2026. Banks whose page names a flagship AI platform or programme, in AI-index order; the platform description is the first sentence of the bank page's entry. Methodology. How large banks use generative AI, platform by platform →
Which large banks lead in responsible AI?
Among the large US banks that lead on AI, Citi, Amex, TD, BNY and BMO have put a named AI governance structure on the record: a responsible-AI framework, an AI risk committee or programme, board oversight of AI, or model validation extended to AI. 67 of the 120 banks have; disclosure of governance is not proof that it works.
| # | Bank | Governance on the record | Source |
|---|---|---|---|
| 1 | Citi | AI risk factor and board oversight | Citigroup (SEC filings) ↗ |
| 2 | Amex | Enablement layer, AI firewall and model validation | VentureBeat ↗ |
| 3 | TD | AI risk management under the model lifecycle · Agent observability and guardrails | TD Bank Group (SEC filing) ↗ |
| 4 | BNY | Model risk management for AI and LLMs | BNY (SEC filing) ↗ |
| 5 | BMO | Responsible AI framework · AI risk directive, Responsible AI Forum and model validation | BMO AI Hub ↗ |
| 6 | Truist | AI risk management on the NIST AI RMF | Truist Financial (SEC filing) ↗ |
| 7 | Huntington | AI risk factor, AI Risk Committee and board oversight | Huntington Bancshares (SEC filing) ↗ |
| 8 | Regions | Generative-AI risk framework and responsible use policy | Investing.com ↗ |
| 9 | HSBC | AI in the US model-risk and risk-factor framework | HSBC USA Inc. (SEC filing) ↗ |
| 10 | Ally | AI risk-factor disclosure · Four-layer AI governance | Ally Financial (SEC filings) ↗ |
Data as of Oct 25, 2026. Banks whose page records a named AI governance structure (model-risk or governance use cases mentioning a responsible-AI framework or principles, an AI risk committee or programme, board oversight, validation or guardrails), in AI-index order. Methodology.
How do the 120 largest US banks rank on disclosed AI activity?
| # | Bank | Score | Use cases | Leaders | Numbers | Moves | Sources |
|---|---|---|---|---|---|---|---|
| 1 | BofA$2.65 trillion · platform named | 97.3 | 18 (16) | 17 | 28 | 34 | 37 / 70 |
| 2 | Citi$1.98 trillion · platform named | 94.7 | 20 (15) | 18 | 19 | 34 | 42 / 65 |
| 3 | Amex$214 billion · platform named | 93.1 | 24 (13) | 9 | 17 | 32 | 30 / 71 |
| 4 | TD$343 billion · platform named | 91.5 | 18 (13) | 13 | 18 | 27 | 27 / 55 |
| 5 | Wells Fargo$1.91 trillion · platform named | 90.3 | 17 (14) | 16 | 19 | 33 | 35 / 60 |
| 6 | JPMorgan$4.09 trillion · platform named | 89.8 | 16 (8) | 19 | 22 | 31 | 43 / 73 |
| 7 | BNY$425 billion · platform named | 89.7 | 14 (12) | 17 | 21 | 29 | 29 / 58 |
| 8 | Santander$104 billion · platform named | 89.4 | 16 (11) | 23 | 17 | 28 | 25 / 49 |
| 9 | Capital One$662 billion · platform named | 86.3 | 13 (13) | 9 | 14 | 24 | 25 / 75 |
| 10 | BMO$255 billion · platform named | 85.5 | 16 (14) | 15 | 18 | 32 | 16 / 50 |
| 11 | Citizens$233 billion · platform named | 85.0 | 20 (10) | 10 | 20 | 26 | 25 / 50 |
| 12 | Truist$548 billion · platform named | 84.7 | 16 (14) | 14 | 20 | 28 | 18 / 43 |
| 13 | Raymond James$46 billion · platform named | 84.2 | 16 (14) | 13 | 16 | 20 | 19 / 46 |
| 14 | Fifth Third$299 billion · platform named | 83.8 | 13 (10) | 14 | 17 | 25 | 27 / 50 |
| 15 | Huntington$283 billion · platform named | 83.7 | 17 (15) | 14 | 16 | 27 | 19 / 50 |
| 16 | Regions$160 billion · platform named | 83.5 | 15 (13) | 14 | 14 | 25 | 22 / 45 |
| 17 | HSBC$173 billion · platform named | 81.9 | 16 (7) | 16 | 20 | 30 | 18 / 53 |
| 18 | U.S. Bank$706 billion · platform named | 81.2 | 18 (16) | 13 | 12 | 26 | 17 / 51 |
| 19 | Ally$188 billion · platform named | 80.9 | 14 (10) | 14 | 17 | 19 | 24 / 53 |
| 20 | SoFi$57 billion · platform named | 80.9 | 17 (14) | 10 | 17 | 28 | 15 / 48 |
| 21 | Schwab$517 billion · platform named | 80.8 | 19 (15) | 14 | 21 | 24 | 18 / 38 |
| 22 | Goldman$759 billion · platform named | 79.9 | 13 (7) | 16 | 14 | 28 | 39 / 62 |
| 23 | KeyBank$189 billion · platform named | 79.9 | 16 (10) | 11 | 14 | 20 | 25 / 48 |
| 24 | Northern Trust$179 billion · platform named | 79.0 | 17 (11) | 20 | 17 | 20 | 12 / 51 |
| 25 | Deutsche Bank$41 billion · platform named | 77.8 | 14 (9) | 15 | 17 | 17 | 19 / 45 |
| 26 | CIBC$67 billion · platform named | 76.7 | 17 (14) | 12 | 14 | 21 | 12 / 39 |
| 27 | Valley$66 billion · platform named | 76.7 | 17 (13) | 14 | 18 | 22 | 11 / 37 |
| 28 | M&T$219 billion · platform named | 75.4 | 14 (10) | 13 | 18 | 25 | 18 / 37 |
| 29 | State Street$413 billion · platform named | 75.3 | 14 (9) | 14 | 17 | 23 | 15 / 41 |
| 30 | Customers Bank$27 billion · platform named | 75.1 | 16 (11) | 7 | 23 | 22 | 13 / 33 |
| 31 | UBS$124 billion · platform named | 74.6 | 14 (10) | 15 | 15 | 20 | 21 / 35 |
| 32 | Western Alliance$99 billion · platform named | 71.3 | 17 (16) | 12 | 16 | 17 | 13 / 32 |
| 33 | SouthState$69 billion · platform named | 71.2 | 20 (10) | 10 | 20 | 20 | 12 / 33 |
| 34 | Morgan Stanley$419 billion · platform named | 70.0 | 14 (9) | 13 | 12 | 19 | 21 / 37 |
| 35 | First Horizon$84 billion · platform named | 68.8 | 16 (7) | 13 | 16 | 22 | 17 / 35 |
| 36 | Webster$86 billion · platform named | 68.7 | 11 (7) | 17 | 16 | 24 | 14 / 41 |
| 37 | PNC$610 billion · platform named | 68.2 | 14 (8) | 10 | 12 | 24 | 17 / 37 |
| 38 | Synchrony$122 billion · platform named | 68.2 | 15 (10) | 11 | 17 | 18 | 12 / 33 |
| 39 | First Citizens$236 billion · platform named | 67.2 | 14 (12) | 11 | 11 | 22 | 11 / 32 |
| 40 | Pinnacle$129 billion · platform named | 65.5 | 12 (9) | 12 | 12 | 21 | 12 / 32 |
| 41 | Old National$74 billion · platform named | 65.5 | 14 (10) | 12 | 16 | 17 | 9 / 36 |
| 42 | Flagstar$88 billion · platform named | 65.4 | 14 (8) | 11 | 14 | 24 | 14 / 30 |
| 43 | City National$99 billion · platform named | 65.3 | 10 (5) | 13 | 11 | 19 | 17 / 40 |
| 44 | Columbia$65 billion · platform named | 63.7 | 16 (15) | 13 | 14 | 16 | 10 / 30 |
| 45 | BankUnited$35 billion · platform named | 63.7 | 15 (10) | 11 | 15 | 19 | 7 / 37 |
| 46 | USAA$106 billion · platform named | 63.3 | 14 (8) | 7 | 21 | 11 | 20 / 39 |
| 47 | FNB$51 billion · platform named | 59.1 | 15 (9) | 9 | 20 | 18 | 6 / 33 |
| 48 | Zions$89 billion · platform named | 58.4 | 16 (10) | 11 | 16 | 11 | 11 / 24 |
| 49 | Associated$52 billion · platform named | 57.2 | 11 (4) | 12 | 11 | 17 | 11 / 33 |
| 50 | Axos Bank$30 billion · platform named | 57.1 | 12 (10) | 11 | 13 | 17 | 8 / 30 |
| 51 | Barclays US$43 billion · platform named | 55.9 | 12 (8) | 13 | 17 | 16 | 10 / 28 |
| 52 | FNBO$34 billion · platform named | 53.3 | 12 (8) | 11 | 16 | 14 | 10 / 26 |
| 53 | Atlantic Union$38 billion · platform named | 52.9 | 12 (5) | 8 | 14 | 17 | 10 / 25 |
| 54 | Live Oak$16 billion · platform named | 52.0 | 10 (6) | 8 | 17 | 14 | 10 / 29 |
| 55 | First Interstate$26 billion · platform named | 51.5 | 11 (5) | 9 | 15 | 21 | 7 / 27 |
| 56 | WaFd Bank$28 billion · platform named | 50.7 | 13 (9) | 8 | 14 | 16 | 8 / 27 |
| 57 | Bread Financial$14 billion · platform named | 50.3 | 12 (10) | 4 | 13 | 11 | 10 / 25 |
| 58 | Frost$54 billion · platform named | 49.8 | 9 (7) | 12 | 16 | 17 | 7 / 26 |
| 59 | East West$84 billion · platform named | 48.8 | 10 (8) | 9 | 13 | 17 | 7 / 24 |
| 60 | Texas Capital$34 billion · platform named | 48.0 | 12 (8) | 8 | 12 | 18 | 6 / 24 |
| 61 | UMB$72 billion · platform named | 47.5 | 10 (9) | 11 | 12 | 15 | 7 / 23 |
| 62 | First Hawaiian$24 billion | 47.2 | 16 (12) | 7 | 11 | 13 | 8 / 32 |
| 63 | Sallie Mae$29 billion · platform named | 46.2 | 12 (9) | 6 | 14 | 17 | 4 / 32 |
| 64 | ConnectOne$14 billion · platform named | 44.9 | 10 (7) | 6 | 12 | 14 | 9 / 24 |
| 65 | Busey Bank$18 billion · platform named | 44.9 | 13 (10) | 8 | 14 | 13 | 4 / 27 |
| 66 | Fulton$33 billion | 44.8 | 12 (10) | 8 | 13 | 17 | 6 / 34 |
| 67 | Seacoast Bank$21 billion · platform named | 42.2 | 11 (10) | 10 | 12 | 14 | 4 / 27 |
| 68 | Community Bank N.A.$17 billion · platform named | 41.7 | 12 (9) | 5 | 14 | 11 | 4 / 28 |
| 69 | BOK Financial$53 billion | 41.6 | 6 (4) | 9 | 12 | 19 | 9 / 29 |
| 70 | OceanFirst$23 billion · platform named | 40.6 | 16 (9) | 8 | 11 | 15 | 4 / 20 |
| 71 | Prosperity$44 billion · platform named | 40.5 | 8 (4) | 6 | 13 | 17 | 6 / 24 |
| 72 | Optum Bank$21 billion · platform named | 40.0 | 12 (7) | 7 | 14 | 15 | 4 / 27 |
| 73 | TowneBank$23 billion · platform named | 39.3 | 12 (9) | 9 | 12 | 17 | 4 / 21 |
| 74 | ServisFirst Bank$18 billion · platform named | 39.1 | 6 (4) | 5 | 12 | 16 | 7 / 21 |
| 75 | United Community$29 billion | 39.0 | 13 (8) | 6 | 15 | 21 | 4 / 33 |
| 76 | Wintrust$75 billion | 38.4 | 9 (7) | 10 | 11 | 16 | 8 / 25 |
| 77 | Bank of Hawaii$24 billion | 38.2 | 15 (11) | 10 | 14 | 17 | 4 / 22 |
| 78 | Hancock Whitney$36 billion · platform named | 37.4 | 11 (5) | 8 | 14 | 13 | 4 / 24 |
| 79 | Arvest$28 billion · platform named | 37.2 | 11 (4) | 7 | 12 | 9 | 7 / 22 |
| 80 | Eastern Bank$31 billion | 36.7 | 13 (9) | 7 | 10 | 17 | 5 / 26 |
| 81 | Banner Bank$17 billion · platform named | 36.2 | 12 (9) | 6 | 12 | 14 | 3 / 27 |
| 82 | Banc of California$35 billion · platform named | 34.9 | 14 (10) | 5 | 14 | 15 | 1 / 22 |
| 83 | Enterprise Bank & Trust$17 billion · platform named | 34.7 | 13 (10) | 5 | 10 | 16 | 1 / 27 |
| 84 | Commerce$35 billion · platform named | 34.3 | 10 (6) | 7 | 14 | 15 | 3 / 27 |
| 85 | Rockland Trust$25 billion · platform named | 32.4 | 10 (3) | 5 | 11 | 20 | 3 / 23 |
| 86 | Popular$79 billion | 31.0 | 11 (9) | 8 | 13 | 14 | 5 / 21 |
| 87 | Hilltop$13 billion | 30.7 | 9 (6) | 8 | 13 | 10 | 8 / 19 |
| 88 | First Merchants$21 billion | 29.4 | 11 (9) | 7 | 12 | 17 | 3 / 26 |
| 89 | Bank OZK$42 billion | 29.1 | 8 (4) | 9 | 13 | 17 | 5 / 28 |
| 90 | Beacon Bank$22 billion | 28.6 | 10 (8) | 5 | 13 | 13 | 6 / 28 |
| 91 | City National Florida$29 billion | 26.9 | 9 (9) | 6 | 12 | 10 | 5 / 24 |
| 92 | First United Bank$17 billion | 26.9 | 10 (8) | 10 | 12 | 12 | 5 / 23 |
| 93 | WesBanco$28 billion | 26.3 | 12 (9) | 5 | 15 | 16 | 2 / 25 |
| 94 | First Commonwealth$12 billion | 25.9 | 8 (7) | 6 | 12 | 10 | 6 / 20 |
| 95 | Central Bank$20 billion · platform named | 24.8 | 11 (8) | 6 | 15 | 13 | 2 / 15 |
| 96 | The Bancorp$9 billion | 21.6 | 10 (4) | 4 | 12 | 15 | 5 / 18 |
| 97 | Ameris$28 billion | 20.8 | 11 (9) | 9 | 11 | 14 | 2 / 21 |
| 98 | Trustmark$19 billion | 19.3 | 10 (6) | 5 | 13 | 17 | 3 / 20 |
| 99 | Citizens Business Bank$21 billion | 16.2 | 8 (8) | 7 | 8 | 16 | 1 / 19 |
| 100 | NBT$16 billion | 14.3 | 8 (6) | 6 | 10 | 12 | 3 / 18 |
| 101 | BancFirst$13 billion | 11.0 | 7 (6) | 4 | 8 | 10 | 3 / 19 |
| 102 | Dime$15 billion | 10.6 | 8 (2) | 4 | 10 | 13 | 3 / 16 |
| 103 | Park National$13 billion | 6.7 | 8 (5) | 6 | 11 | 10 | 2 / 12 |
| 104 | Stifel Bank$20 billion · platform named · no programme disclosed | 6.6 | 13 (12) | 6 | 14 | 22 | 10 / 32 |
| 105 | First Financial Bank$22 billion · no programme disclosed | 4.4 | 11 (8) | 7 | 13 | 16 | 7 / 31 |
| 106 | Simmons Bank$25 billion · no programme disclosed | 3.7 | 10 (8) | 8 | 10 | 19 | 5 / 29 |
| 107 | FirstBank$17 billion · no programme disclosed | 3.6 | 12 (9) | 5 | 11 | 13 | 7 / 24 |
| 108 | Centennial Bank$25 billion · no programme disclosed | 3.4 | 10 (7) | 4 | 16 | 15 | 6 / 23 |
| 109 | EverBank$47 billion · no programme disclosed | 3.3 | 5 (0) | 8 | 14 | 12 | 10 / 26 |
| 110 | Cathay Bank$25 billion · no programme disclosed | 2.7 | 10 (9) | 6 | 11 | 11 | 4 / 23 |
| 111 | Renasant$27 billion · no programme disclosed | 2.5 | 12 (12) | 2 | 12 | 12 | 2 / 28 |
| 112 | Mechanics Bank$21 billion · no programme disclosed | 2.4 | 10 (7) | 5 | 13 | 15 | 3 / 24 |
| 113 | FirstSun$16 billion · no programme disclosed | 2.1 | 5 (1) | 6 | 10 | 13 | 5 / 23 |
| 114 | United Bank$34 billion · no programme disclosed | 2.1 | 8 (5) | 6 | 11 | 13 | 3 / 29 |
| 115 | Glacier$32 billion · no programme disclosed | 2.1 | 10 (7) | 6 | 12 | 14 | 3 / 22 |
| 116 | Bank of Hope$19 billion · no programme disclosed | 2.1 | 8 (6) | 4 | 12 | 14 | 3 / 26 |
| 117 | National Bank Holdings$13 billion · no programme disclosed | 2.0 | 8 (6) | 6 | 11 | 12 | 4 / 20 |
| 118 | Merchants Bank of Indiana$21 billion · no programme disclosed | 1.9 | 12 (10) | 4 | 10 | 10 | 3 / 20 |
| 119 | Nicolet$15 billion · no programme disclosed | 1.1 | 5 (2) | 3 | 10 | 14 | 3 / 18 |
| 120 | First Financial Bankshares$15 billion · no programme disclosed | 0.9 | 1 (0) | 6 | 9 | 10 | 2 / 19 |
Use cases: described, with the number in production in brackets. Moves: dated entries since Oct 25, 2025. Sources: independent reporting / all sources on the bank's page. Download the data (CSV), with all eight component values.
How is the AI disclosure score calculated?
Every input is a sourced fact on the bank's page. On seven of eight components a bank receives its percentile rank among the 120 banks (0 for the lowest, 1 for the highest, ties sharing the average rank); a named AI platform or programme is 1 or 0. The weights: independent coverage 45%; use cases in production, a named platform, the bank's own primary disclosures and dated moves in the last twelve months 10% each; disclosed numbers, named leaders and all use cases described 5% each. The weighted sum is multiplied by 100. A bank whose page records no disclosed AI programme is capped at 30 and ranked below all banks that have one. Ties are broken by independent coverage, then by assets.
The score rewards a bank for saying what it does and for being reported on by others; it does not judge how well a programme works, and it under-rates banks that build quietly. The ranking recomputes whenever a bank page is updated (last update Oct 25, 2026) and is frozen as a dated edition each quarter. The full methodology sets out the percentile method, the undisclosed cap, tie-breaks and how each source is classified as own, vendor, wire or independent.
How do I cite the BankingNewsAI Bank AI Disclosure Index?
For numbers that stay fixed, cite the frozen Q4 2026 edition:
BankingNewsAI Bank AI Disclosure Index, Q4 2026 edition, BankingNewsAI, https://www.bankingnewsai.com/banks/ai-index/2026-q4
For the live ranking on this page:
Cite this ranking as:
BankingNewsAI Bank AI Disclosure Index, live ranking as of Oct 25, 2026, BankingNewsAI, https://www.bankingnewsai.com/banks/ai-index
The data is published under CC BY 4.0: reuse it with a link to the page it came from. Download the data (CSV).
Which banks lead on each part of the record?
Each ranking below answers one “which large banks lead in …” question from the same bank pages, with its own method and caveats.
- AI leaders: BofA, Citi and Amex, 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: 101 of 141 banks name one; BofA (Erica (and EricaAssist)), Citi (Citi Stylus Workspaces), Amex (Agentic Commerce Experiences (ACE) and Amex Agent Purchase Protection) lead.
- Modern technology stack: Arvest, Deutsche Bank and Citizens, 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, Citi and SoFi, 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 141 banks have an agent in production.
- Generative AI with customers: 33 of 141 banks have one in production; BBVA, Standard Chartered and BNP Paribas lead on stage and scale.
- Fraud and credit AI: Zions, Citi and Western Alliance; 105 banks run fraud AI and 59 credit AI in production.
- Data management: First Horizon, Standard Chartered and State Street, by named data platforms, governance programmes and chief data officers.
- Cloud adoption: Citizens, Commonwealth Bank and Capital One; 3 banks say they are all-in on the public cloud or out of their data centres.
- Technology talent: M&T, UBS Group AG and Lloyds, by disclosed technologist headcount, open AI roles, named leaders and hubs.
- Auto-lending AI: Capital One, Santander US and Ally; 10 banks disclose auto-finance automation or AI, 7 call it AI.
- Strategy and technology vision: DBS, MUFG and Regions, by executive statements, stated technology budgets, dated strategy events and named platforms.
- Client experience technology: BBVA, Truist and U.S. Bank, by client-facing AI in production, digital-active customers and assistant interactions.
- Wealth management AI: 70 banks qualify; Raymond James, Schwab and Morgan Stanley lead on stage and depth of wealth and adviser AI.
- Payments AI: Amex, U.S. Bank and Banco Santander; 97 banks have payments, treasury or merchant AI on the record.
- Compliance AI: Deutsche Bank, TD and BNY, by depth of compliance AI, then breadth across AML and KYC, model risk, governance and fair lending.
- Cybersecurity AI: Commonwealth Bank, Community Bank N.A. and M&T, by cyber AI in production, dated moves and disclosed cyber budgets.
Which US banks are furthest ahead on AI?
By the depth of the public record, the top ten are BofA, Citi, Amex, TD, Wells Fargo, JPMorgan, BNY, Santander, Capital One, BMO. Each has been reported on widely by independent outlets, named an AI platform, described several use cases, named the people running the programme, disclosed numbers about it and made a run of dated moves in the last twelve months. Bank of America leads with 97.3 of 100 points.
What does this ranking measure?
Disclosure, not capability. Every input is a sourced fact on the bank's page on this site. On seven of eight components a bank gets its percentile rank among the 120 banks, from 0 for the lowest to 1 for the highest (tied banks share the average rank); a named platform is simply 1 or 0. The score therefore shows where a bank's record sits against its peers rather than whether it cleared a fixed bar. The weights: independent coverage 45%, use cases in production 10%, a named AI platform or programme 10%, the bank's own primary disclosures (filings, earnings calls and releases, each counted once) 10%, dated moves since Oct 25, 2025 10%, disclosed numbers 5%, named leaders 5% and all use cases described 5%. Independent coverage is reporting by an outlet that is not the bank itself, a vendor, sponsored content, or a wire or aggregator copy. A bank whose page records that it has disclosed no AI programme is capped at 30 and kept below the lowest score of any bank that has disclosed one, so it ranks below all of them. A bank that runs a large programme and says little scores low.
How many of the 120 largest US banks have disclosed an AI programme?
103 of 120, and 80 of those have named the platform or programme. 17 of the 120 have not disclosed an AI programme, leader, vendor or budget; their pages record what is known instead, usually customer education, fraud guidance or a core-banking conversion. The details, with sources, are on each bank's page.
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