How does JPMorgan Chase compare with its peers on AI and technology?
JPMorgan Chase scores 89 on this site's US AI disclosure index (#6 of 120), third of the nine largest US banks behind Bank of America (97.3) and Citigroup (94.9) and level with Wells Fargo (88.8). The score counts what is on the record, not capability, and outside rankings put JPMorgan first: Evident ranked it top of 50 banks for a fourth consecutive year on October 6, 2026, and Fortune's AIQ 75 placed it first of 75 companies on September 29, 2026, with Bank of America 19th and Citigroup 51st. Three things separate it from named peers. Scale of spend: a 2026 technology budget of about $19.8 billion, against $13.5 billion at Bank of America and more than $10 billion at Wells Fargo. Platform reach: LLM Suite, its own model-agnostic layer over third-party models, had 150,000 weekly users by February 2026, while Citi reports 87%-plus adoption across more than 180,000 people (September 2026) and Goldman gave its assistant to all 46,000 staff in July 2025. Candour on jobs: Jamie Dimon said on July 14, 2026 that AI had cut headcount 30% to 40% in some units. Where it trails: it has no named consumer assistant while Bank of America's Erica passed 3.6 billion interactions (October 2026), and it records 8 use cases in production against 16 at Bank of America and U.S. Bancorp.[1][2][3][4][5][6][7][8][9][10]
Data as of Oct 19, 2026 · JPMorgan profile updated Oct 19, 2026 · computed tables recalculate from the 140 bank profiles on this site · Markdown
Where does JPMorgan lead its peers on AI?
01
First on both outside AI rankings
Evident ranked JPMorgan Chase first of the 50 largest banks for the fourth consecutive year on October 6, 2026, ahead of Capital One and RBC, with Bank of America seventh. Fortune and ServiceNow's AIQ 75 (September 29, 2026) put JPMorgan first of all 75 companies, ahead of BNY (15th), Bank of America (19th), Citigroup (51st), Wells Fargo (53rd) and Capital One (62nd).[1][2][11]
02
The largest technology budget in the group
JPMorgan's February 2026 company update guided 2026 technology expense to about $19.8 billion, up 10%, run by more than 63,000 technologists. Bank of America budgets $13.5 billion a year with about $4 billion for new initiatives such as AI, Wells Fargo more than $10 billion with 30,000 technologists, and PNC about $3.5 billion.[3][12][4][5][13]
03
Most outside coverage and most named AI leaders
On this site's index JPMorgan has 42 independent sources on its AI, tied with Citigroup for the most in the group against a peer median of 28.5, and 19 named AI and technology leaders, the most of the nine banks (peer median 15), from global CIO Lori Beer to CTO Scot Baldry, who took over the firm's AI program in July 2026.[12][14][15]
04
Workforce effect stated in numbers
JPMorgan is the peer that has put a percentage on AI job cuts: Dimon said on July 14, 2026 that AI had reduced headcount 30% to 40% in some units, after the May 2025 investor day set a goal of about 10% fewer consumer operations staff over five years. Bank of America says it is 'not laying off anybody' (September 2026), and Wells Fargo's CEO speaks of 'tens of thousands of fewer positions' without a unit figure.[9][16][17][18]
Where does JPMorgan trail its peers on AI?
01
No named consumer assistant
JPMorgan has no branded AI assistant for retail customers; consumer chief Marianne Lake aims to have a travel agent in pilot before the end of 2026. Bank of America's Erica had 3.6 billion cumulative interactions by October 2026, Wells Fargo's Fargo passed 1 billion in March 2026, and Truist Assist handled more than 12.5 million requests from 2023 to March 2026.[19][10][20][21]
02
Fewer use cases in production on the record
The profile records 8 of JPMorgan's 15 described AI use cases as in production, seventh of nine in the group, against 16 of 18 at Bank of America and at U.S. Bancorp; Dimon's own count is almost 1,000 use cases with about 50 'really important' (July 2026), but few are documented one by one.[22][23][24]
03
No current return figure for its AI spend
CFO Jeremy Barnum said on October 13, 2026 that annual AI spend is closer to $700 million, called the earlier $2 billion benefit estimate stale and said benefits are not yet visible in results. Bank of America's CEO said in September 2026 that about 140 implemented AI applications cost $400 million and generate $800 million in benefit.[25][17]
04
Outside AI agents are blocked, not admitted
JPMorgan blocks third-party AI agents that log in with customers' credentials and Dimon warned of a 'liability transfer' on October 13, 2026. Morgan Stanley is opening its ShareWorks and Equity Edge stock-plan platforms to clients' own agents through the Model Context Protocol (June 2026), and Bank of America and Capital One co-signed principles for agentic commerce in September 2026.[26][27][28]
Where does JPMorgan rank against its peers on AI disclosure?
Scores from the US AI disclosure index of 120 banks (0–100; 45% of the weight on independent coverage). The index measures what each bank has put on the public record and what outside outlets have reported about its AI, not capability or spending; every count is of entries on that bank's profile, each of which cites its sources.
| Bank | Score | Rank | Independent sources | Own disclosures | Use cases in production | Moves, last 12 months | Named AI platform |
|---|---|---|---|---|---|---|---|
| Bank of America | 97.3 | #1 of 120 | 37 | 24 | 16 of 18 | 34 | Erica (and EricaAssist)[29][30][31] |
| Citigroup | 94.9 | #2 of 120 | 42 | 19 | 15 of 20 | 34 | Citi Stylus Workspaces[32][33] |
| JPMorgan Chase (this page) | 89 | #6 of 120 | 43 | 20 | 8 of 15 | 32 | LLM Suite[34][35] |
| Wells Fargo | 88.8 | #7 of 120 | 32 | 15 | 13 of 16 | 33 | Fargo and the Google Cloud agent stack[36][37][20][38] |
| Capital One | 86.9 | #9 of 120 | 25 | 45 | 13 of 13 | 25 | Chat Concierge and the in-house agent stack[39][40][41] |
| Truist Financial | 82.6 | #16 of 120 | 18 | 18 | 13 of 15 | 27 | Truist Insights and the 'digital teammates'[42][43] |
| U.S. Bancorp | 81.3 | #18 of 120 | 17 | 21 | 16 of 18 | 26 | In-house tools from the AI Center of Excellence[44][45][46][47] |
| Goldman Sachs | 79.9 | #22 of 120 | 39 | 15 | 7 of 13 | 28 | GS AI Platform and GS AI Assistant[8][48] |
| PNC Financial Services | 68.2 | #38 of 120 | 17 | 15 | 8 of 14 | 24 | PNC AI factory[49][50][51][52] |
On which parts of the AI record is JPMorgan ahead of or behind its peers?
Each row is one input of the index, counted on the profiles of JPMorgan and the 8 peers that are scored on the same basis. "Place" is JPMorgan's position in the group of 9 (1st = most).
| Component (weight) | JPMorgan | Peer median | Most in the group | Place |
|---|---|---|---|---|
| Independent sources (45%) | 43 | 28.5 | JPMorgan (43) | 1st of 9 |
| Use cases in production (10%) | 8 | 13 | BofA (16) | 7th of 9 |
| Own primary disclosures (10%) | 20 | 18.5 | Capital One (45) | 4th of 9 |
| Dated moves, last 12 months (10%) | 32 | 27.5 | BofA (34) | 4th of 9 |
| Disclosed numbers (5%) | 22 | 16 | BofA (28) | 2nd of 9 |
| Named AI leaders (5%) | 19 | 15 | JPMorgan (19) | 1st of 9 |
| Use cases described (5%) | 15 | 15.5 | Citi (20) | 5th of 9 |
What has each bank in JPMorgan's peer group disclosed about its AI?
Facts from each bank's profile, cited to the profile's own sources. "Not disclosed" means the bank's public record, as cited on its profile, does not state it.
| Bank | Platform or assistant, as the profile names it | AI leaders named | Headline AI number disclosed | Patents on the record | Open AI roles |
|---|---|---|---|---|---|
| JPMorgan Chase | LLM Suite[34][35] | 19, incl. Lori Beer (Global Chief Information Officer)[12] | Technology employees: 65,000+ (Oct 1, 2026)[53] | 6 patents listed on the profile, e.g. US 2026/0010713 A1 (Generative ML framework producing predictive results on financial transactions)[54] | 12+ open AI roles (Oct 1, 2026); most in ML & data science |
| Bank of America | Erica (and EricaAssist)[29][30][31] | 17, incl. Hari Gopalkrishnan (Chief Technology and Information Officer)[55][56] | Erica interactions per day: 2 million (Jan 22, 2026)[31] | 8 patents listed on the profile, e.g. US 12,705,363 B2 (Vulnerability detection and mitigation using artificial intelligence in an electronic environment: Generates a vulnerability attribute for a network device from source data using AI.)[57] | 12+ open AI roles (Oct 1, 2026); most in AI engineering |
| Citigroup | Citi Stylus Workspaces[32][33] | 18, incl. Tim Ryan (Head of Technology and Business Enablement)[58] | Colleagues using AI tools: 80%+ (Apr 14, 2026)[33] | 4 patents listed on the profile, e.g. US 12,450,494 B1 (Validating autonomous AI agents using generative AI)[59] | 12+ open AI roles (Oct 1, 2026); most in AI engineering |
| Wells Fargo | Fargo and the Google Cloud agent stack[36][37][20][38] | 16, incl. Saul Van Beurden (Head of AI)[60][61] | Fargo interactions, 2024: 245 million (2024); 336 million since launch at the time (Apr 8, 2025)[37] | 6 patents listed on the profile, e.g. US 2026/0087043 A1 (Model-based personal advisor)[62] | 12+ open AI roles (Sep 24, 2026); most in AI engineering |
| Goldman Sachs | GS AI Platform and GS AI Assistant[8][48] | 16, incl. Marco Argenti (Chief Information Officer)[63][48] | Employees with GS AI Assistant: 46,000 (all) (Jul 25, 2025)[8] | 5 patents listed on the profile, e.g. US 2026/0072655 A1 (Context injection for AI coding assistants)[64] | 12+ open AI roles (Oct 1, 2026); most in AI engineering |
| U.S. Bancorp | In-house tools from the AI Center of Excellence[44][45][46][47] | 13, incl. Prashant Mehrotra (EVP and Chief AI Officer)[65][66][67] | Operations employees under the new COO: 16,000+ (Mar 26, 2026)[68] | 7 patents listed on the profile, e.g. US 2024/0144204 A1 (Check fraud detection comparing incoming check image and signature with a reference)[69] | 12+ open AI roles (Oct 1, 2026); most in AI product & strategy |
| Capital One | Chat Concierge and the in-house agent stack[39][40][41] | 9, incl. Richard Fairbank (Founder, Chairman and CEO)[70] | Evident AI index rank: #2 of 50 (four editions running) (Oct 6, 2026)[71][1] | 2 patents listed on the profile, e.g. EP4776166A1: Safeguarding user-facing AI models (Published application)[72] | 12+ open AI roles (Oct 1, 2026); most in ML & data science |
| PNC Financial Services | PNC AI factory[49][50][51][52] | 10, incl. Bill Demchak (Chairman and CEO)[49][73] | AI share of the year-over-year increase in technology spending: ≈ 20% (Jan 16, 2026)[74] | 4 patents listed on the profile, e.g. US 2025/0094839 A1 (Applying rules via artificial intelligence for document processing)[75] | 12+ open AI roles (Oct 1, 2026); most in ML & data science |
| Truist Financial | Truist Insights and the 'digital teammates'[42][43] | 14, incl. Steve Hagerman (Chief Information Officer)[43][76][77] | AI use cases deployed in 2025: 50+ (Jun 1, 2026)[43] | 4 patents listed on the profile, e.g. US 12,657,538 B2 (Audio signal processing and dynamic natural-language risk scoring of customer communications)[78] | 12+ open AI roles (Oct 1, 2026); most in AI engineering |
What are the latest dated moves on the AI record of JPMorgan and its peers?
The two newest dated entries of each bank since Oct 16, 2025, from the timelines of the profiles (which also log filings, results and deals that bear on the AI record), newest first.
| Date | Bank | Move |
|---|---|---|
| Oct 13, 2026 | Goldman | Q3 2026 call: Solomon sets out AI guardrails and compute-supply risk[79][80] |
| Oct 13, 2026 | Wells Fargo | Q3 2026 call: AI agents in code, marketing, cyber, underwriting[81][82] |
| Oct 13, 2026 | BofA | Treasury, FinCEN and OCC impose $1.21 billion in AML and sanctions penalties[83][84][85] |
| Oct 13, 2026 | JPMorgan | Q3 2026 call: outside AI agents stay blocked; AI spend put near $700 million[26][25][86] |
| Oct 8, 2026 | Goldman | Sneader: new joiners 'are managing agents'[87] |
| Oct 7, 2026 | U.S. Bank | Venkatachari: from proving AI to industrializing it[88] |
| Oct 6, 2026 | Capital One | Second on the Evident AI index for a fourth year[1][89] |
| Oct 6, 2026 | BofA | Evident AI Index: seventh, up from tenth[11] |
| Oct 6, 2026 | JPMorgan | Evident AI Index: first for the fourth consecutive year[1] |
| Oct 1, 2026 | Wells Fargo | Engle: $10 billion technology budget, nearly 200,000 staff with AI tools[5] |
| Oct 1, 2026 | Citi | Payments chief: no AI model to authorise payments[90] |
| Sep 29, 2026 | Capital One | Natarajan: cutting latency and token costs with smaller, open-weight models[2] |
| Sep 29, 2026 | U.S. Bank | CFO Insights Report: AI spending running over budget[91] |
| Sep 29, 2026 | Citi | Market Guide platform relaunched with AI at Sibos[92] |
| Sep 25, 2026 | PNC | Head of ATM Banking hired with an AI mandate[93] |
| Sep 18, 2026 | Truist | Mid-table on AI-judged reputation[94] |
| Sep 16, 2026 | Truist | Insights scale: 4 million daily sign-ins, 500 insights a year per customer[95] |
| Sep 14, 2026 | PNC | Barclays conference: agents at the centre of development, 5–10x[52] |
How does JPMorgan's LLM Suite compare with other big banks' employee AI platforms?
Reach figures are each bank's own and use different units (weekly users, active users, adoption rate, access), so they rank disclosure, not quality.
| Bank | Platform | Models behind it | Reach disclosed | Date |
|---|---|---|---|---|
| JPMorgan Chase | LLM Suite, a proprietary abstraction layer, with more than 200 applications built on it | Third-party models (OpenAI, Anthropic and others) swapped in and out | 0 to 200,000 onboarded users in eight months; 150,000 weekly users who estimate about four hours saved a week | June 2025; February 2026[34][96][6] |
| Bank of America | General-purpose AI tools plus Erica-based employee agents; Orchestra routes tasks between models | Approved open-weight models on its own GPUs for simple tasks, proprietary models for harder reasoning | About 200,000 active users and 400,000-plus prompts a day; 114 live generative-AI use cases | June 2026; October 2026[23][10] |
| Citigroup | Citi Stylus Workspaces and Arc, an enterprise agent platform | Google Gemini and Anthropic Claude inside Stylus Workspaces | More than 180,000 people, 87%-plus adoption, 65 million-plus interactions | September 2026[7][97][98] |
| Wells Fargo | Google Cloud Agentspace, Gemini Deep Research and NotebookLM; Microsoft 365 Copilot | Google and Microsoft | Agent rollout to all 215,000 employees from August 2025; nearly 200,000 staff with AI tools | August 2025; October 2026[38][5] |
| Goldman Sachs | GS AI Platform and GS AI Assistant | GPT, Gemini and Claude choices | All 46,000 employees; more than a million prompts a month | July 2025[8] |
| Capital One | In-house generative models and multi-agent workflows on AWS | Models customised from open-source LLMs; training set above 20 trillion tokens | No employee reach figure published | 2026[99][100] |
| U.S. Bancorp | Purpose-built tools from its AI Center of Excellence; internal AI marketplace | Proprietary and open-source models plus OpenAI, Anthropic and Google; GitHub Copilot, Cognition and Claude Code for engineers | 70%-75% of engineers trained and using the tools within three months | June 2026[101][66] |
How does JPMorgan's technology and AI spending compare with its peers'?
Technology budgets are total spend, not AI; AI-specific figures are rarer and are each executive's own estimate.
| Bank | Technology budget | AI spend or return disclosed | Date |
|---|---|---|---|
| JPMorgan Chase | About $19.8 billion in 2026, up 10% | AI spend 'closer to $700 million' a year; earlier $2 billion benefit estimate called stale | February and October 2026[3][25] |
| Bank of America | $13.5 billion a year, about $4 billion for new initiatives such as AI | About 140 AI applications cost $400 million and generate $800 million in benefit; AI expense budget expected to double in 2027 | March and September 2026[4][17] |
| Wells Fargo | More than $10 billion; 30,000 technologists | Not broken out; CEO says 'significant management time and resources' go to AI | October 2026[5][81] |
| PNC | About $3.5 billion, rising about 10% in 2026 | AI about 20% of the year-over-year increase; building its own 'AI factory' to cut token costs | January and June 2026[13][74][49] |
| Citigroup | Not published on the profile | AI-assisted code reviews free about 100,000 hours of engineering capacity a week | May 2026[102] |
| Goldman Sachs | Not published on the profile | Devin pilots produced up to 20% developer efficiency gains, per the CIO | June 2026[103] |
What have JPMorgan and its peers said about AI and headcount?
What each bank's leaders have said on the record; headcounts are the banks' own.
| Bank | What leaders said | Headcount or scale | Date |
|---|---|---|---|
| JPMorgan Chase | AI cut headcount 30% to 40% in some units; most affected staff offered other roles; 'huge redeployment plans' | Goal of about 10% fewer consumer operations staff over five years (May 2025) | July 14, 2026[9][104][16] |
| Bank of America | 'We're not laying off anybody'; headcount easing through attrition | From 213,000 to 209,000 | September 2026[17] |
| Wells Fargo | Automating roles will mean 'tens of thousands of fewer positions' | 197,000 at mid-2026 after 24 straight quarterly declines | July and August 2026[105][18] |
| Citigroup | AI 'will take some jobs away' (Fraser, January 2026) | 219,000, about 7,000 fewer than at end-2025; over $800 million of severance year to date | July 2026[106][107][108] |
| Goldman Sachs | Not 'growing our human capital footprint quite the same way'; AI 'will not replace' its people | All 46,000 employees have the GS AI Assistant | July 2026[109][8] |
How does JPMorgan's customer-facing AI compare with other banks' assistants?
JPMorgan's customer AI is built around tools and controls rather than a branded chatbot; peers publish assistant volumes in different units.
| Bank | Customer-facing AI | Scale disclosed | Date |
|---|---|---|---|
| JPMorgan Chase | No branded assistant; Smart Cash (moves cash between checking and brokerage) in a targeted pilot; consumer travel agent targeted for pilot by end-2026; outside agents using customer credentials blocked | Smart Cash aimed at a very small subset of clients | June and October 2026[25][110][19][26] |
| Bank of America | Erica in the app; EricaAssist for about 18,000 service employees | 3.6 billion cumulative interactions; 2 million a day | January and October 2026[10][31][111] |
| Wells Fargo | Fargo on Google's conversational AI, personal data kept away from the LLM | More than 1 billion interactions in under three years | March 2026[20][37] |
| U.S. Bancorp | Smart Assistant, bilingual and voice-capable | Used 2.5 million times a month | 2025 annual report[24] |
| Truist | Truist Assist chatbot | More than 12.5 million requests since 2023, over 9 million handled end to end by AI | March 2026[21] |
| Capital One | Eno in the app, online, by text and email | No usage figure published | 2026[112] |
| Citigroup | Citi Sky, an AI wealth adviser for Citigold clients built with Google Cloud and DeepMind | Phased rollout from summer 2026 | April 2026[113] |
Which banks are JPMorgan's peers, and why these?
JPMorgan Chase is compared here with Bank of America, Citigroup, Wells Fargo, Goldman Sachs, U.S. Bancorp, Capital One, PNC Financial Services and Truist Financial: the US banks on this site nearest to it in business model (universal bank) and assets on the Federal Reserve's large-bank list. JPMorgan Chase is classed as a universal bank in the Northeast.
Is JPMorgan Chase better than Bank of America at AI?
The record cannot settle capability. Outside rankings favour JPMorgan: Evident placed it first and Bank of America seventh of 50 banks (October 2026), and Fortune's AIQ 75 ranked them first and 19th. This site's disclosure index puts Bank of America ahead, 97.3 to 89, because Bank of America has documented more use cases in production (16 against 8) and publishes more numbers, including Erica's 3.6 billion interactions and a $400 million cost against $800 million of benefit for about 140 AI applications.[1][2][10][17]
Does JPMorgan have an AI chatbot like Bank of America's Erica?
Not a branded one. JPMorgan's generative AI is aimed first at employees through LLM Suite, with 150,000 weekly users in February 2026. For customers it is piloting Smart Cash, which moves money between checking and brokerage for yield, and consumer chief Marianne Lake aims to have a travel agent in pilot before the end of 2026. Erica has been in Bank of America's app since 2018 and handles about 2 million interactions a day.[6][25][19][29][31]
How does JPMorgan's technology spending compare with other banks'?
It is the largest disclosed. JPMorgan guided 2026 technology expense to about $19.8 billion, up 10%. Bank of America spends $13.5 billion a year, Wells Fargo more than $10 billion and PNC about $3.5 billion. On AI specifically, JPMorgan's CFO put annual spend closer to $700 million in October 2026, while Bank of America's CEO said about 140 AI applications cost $400 million and expects the AI budget to double in 2027.[3][25][4][5][13][17]
How does JPMorgan compare with Citigroup on AI?
Both run their own employee platforms over third-party models and both have 42 independent sources on this site's index. Citi reports adoption more often: 87%-plus of more than 180,000 people and 65 million-plus interactions by September 2026, plus Arc for agents and Citi Sky for Citigold clients. JPMorgan reports weekly users (150,000) and a larger budget, and ranks far higher outside: first on Evident and Fortune's AIQ 75, where Citi was 51st.[7][98][113][6][2][1]
Why is JPMorgan first on Evident but third in its group on this site's index?
They measure different things. Evident scores talent, innovation, leadership and transparency and ranked JPMorgan first of 50 banks for a fourth year on October 6, 2026. This site's index scores what is on the public record, weighting independent coverage at 45% and documented use cases, disclosures, moves and numbers for the rest. JPMorgan leads the group on outside coverage and named leaders but documents fewer use cases in production than Bank of America or Citigroup.[1][22]
Has AI cut more jobs at JPMorgan than at other banks?
JPMorgan is the bank that has put a percentage on it: Dimon said on July 14, 2026 that AI had reduced headcount 30% to 40% in some units, with most affected staff offered other roles. Wells Fargo's headcount fell to 197,000 by mid-2026 and its CEO expects 'tens of thousands' fewer positions; Citigroup was at 219,000 with over $800 million of severance; Bank of America says it is easing headcount through attrition and not laying people off.[9][105][18][107][17]
How does JPMorgan compare with Goldman Sachs on AI?
Goldman is smaller and narrower: it gave its GS AI Assistant to all 46,000 employees in July 2025, embedded Anthropic engineers to co-build agents for trade accounting and onboarding in February 2026, and its CIO cites up to 20% developer efficiency from Devin. JPMorgan's platform reaches more people (150,000 weekly users), its budget is larger, and both were early users of Anthropic's Mythos for cyber defence in April 2026.[8][63][103][6][114][115]
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- Banks prioritize responsible AI, governance as use soars
- The Most Powerful Women in Banking Women to Watch, #7, Debopama Sen, Citi
- U.S. Bank CFO Survey: Optimism Climbing as Growth and Dealmaking Gain Momentum
- Citi Investor Services Reimagines Market Guide Platform, Harnessing AI to Deliver Timely Intelligence for Decision Makers
- Mark Williamson hired as Head of ATM Banking
- People use AI to gauge banks' reputations, and its verdicts are harsh
- How Truist Delivers Proactive Insights to Its App and Online Users
- LLM Suite named 2025 'Innovation of the Year' by American Banker
- Citi deploys agentic tools to in-house AI platform
- Citi launches Arc to scale AI agents across the business
- GAI Training Data Transparency Disclosure
- Capital One Completes Migration from Data Centers to AWS, Becomes First US Bank to Announce Going All In on the Cloud (case study; page retrieved 2026-10-15)
- Dilip Venkatachari's development of agentic AI and digital-asset infrastructures is driving use cases
- Citi 2026 Investor Day Transcript - Consolidated
- Marco Argenti gives Goldman Sachs coders an AI helper (Most Innovative People in Finance, #3)
- Jamie Dimon says AI is already reshaping JPMorgan Chase's workforce as bank plans 'huge redeployment'
- Wells Fargo (WFC) Q2 2026 Earnings Call Transcript
- As AI wipes out desk jobs, Citigroup CEO Jane Fraser says the company is training 175,000 employees to 'reinvent themselves'
- Citi Second Quarter 2026 Earnings Call transcript
- Citi has quietly cut 7,000 jobs this year. It still has 9,000 more people than before the consent order
- Goldman Sachs (GS) Q2 2026 Earnings Call Transcript
- JPMorgan Chase & Co. Q1 Earnings Call Highlights
- Bank of America upgrades customer service employee tool
- Eno, your Capital One assistant
- Citi Wealth Unveils "Citi Sky" - An AI-Powered Member of the Citi Wealth Team, Built Using Google Cloud and Google DeepMind Technologies
- Project Glasswing: Securing critical software for the AI era
- Goldman Is Using Mythos, Working With Anthropic on Cyber Risks
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