← back to rankingJPM · JPMorgan Chase & Co.
Banks - Diversified · mkt cap $806.4B · calls: Q1 FY2026 vs Q4 FY2025
34.0 conviction · conf-adj 34
conf –
enthusiasm:21.0 · trend:8 · quantifies:0 · impact:0 · under_radar:5 · credibility:0 · business_impact:4 · disruption:0 · commitment:-4 · confirmation:0
Enthusiasm latest 7 / prev 6 (rising)
Management frames AI as real but competitive: it can improve fraud, prospecting, client personalization, cyber defense, and adjacencies, but efficiency gains are expected to be competed away. The latest call is more substantive because it includes a specific AI cash-tool experiment, cyber-risk discussion, and business-opportunity framing. Credibility is moderate: they cite concrete use cases, but provide no revenue, cost, margin, productivity, or headcount quantification.
PAST (realized)
- We do a lot to reduce risk and fraud and scam by using AI.
- We do a lot better job of prospecting. We offer AI services to clients, et cetera.
- we're plugging in a little bit more to the crypto ecosystem and you know, we have an agreement with Coinbase, and it's gonna know, be possible to buy crypto up in the in the CCB ecosystem too.
CURRENT (now)
- this thing is like kind of not even live yet and it's sort of targeted at a very small subset of the client base, particularly clients with investments where we think there's an opportunity to take a larger share of the investment wallet as part of this.
- AI has made it worse, it's made it harder.
- while we're trying to get the benefits of AI, we also are very cognizant of the risk of cyber.
- We're adding better personalization in consumer banking credit card. We're adding AI across the company, and those are all opportunities.
- We're building more AI systems.
FORWARD (guidance)
- I think the right way to think of it is sort of as an experiment right now.
- And maybe down the road, better ways to strengthen yourself too.
- So it will enhance a lot of things you can do directly, and it will create more adjacencies in my opinion, if you can use it quickly and wisely.
- I think that AI we will be spending more, but it is not a big driver I do think it'll be driving more efficiency down the road.
- efficiency because other banks have to do it too, will eventually be passed on to the customer.
TRACK RECORD — PROMISE vs DELIVERY
—/100 (no quantified promises) no-quantified-promises 6 calls reviewed
Across all six calls (Q4 FY2024–Q1 FY2026), management discussed AI/ML and intelligent automation only qualitatively — software-engineer productivity tooling, hardware-utilization efficiency, the not-yet-live AI cash tool, and blockchain/tokenization — but never attached a number plus a timeframe or milestone to any AI capability. With no quantified, time-bound AI promise ever made, there is no judgeable AI promise-vs-delivery track record to score.
PRICED-IN (REFINED)
MEDIUMEst. revisions flat · Fwd P/E 16.8 · EV/Sales 6.1x
AI claim maps to Consumer & Community Banking, Commercial And Investment Bank, Asset and Wealth Management Segment
Analyst ratings are not migrating upward: strongBuy plus buy counts fell from 14 in early 2026 to 12 by June, while holds remain high, and price-target data is only modestly above the last-year average with no usable last-month signal. Forward revenue and EPS estimates show growth, but not enough to indicate a sharp AI-led revision cycle. Valuation is relatively rich for a diversified bank at 16.8x forward EPS and 6.1x EV/sales, so the flat revision trend offsets the elevated multiple. That mix points to medium priced-in risk, with AI benefits most likely flowing through the large Consumer & Community Banking, Commercial And Investment Bank, and Asset and Wealth Management Segment lines.
COVERAGE — ENTHUSIASM TRAJECTORY + CATALYSTS
2Q4 FY20242Q1 FY20252Q2 FY20252Q3 FY20252Q4 FY20255Q1 FY2026
AI enthusiasm across 6 calls — trend ↗ rising
AI was absent until Q1 FY2026, when management discussed an AI cash tool as a client-experience and deposit-competition lever.
RECENT AI CATALYSTS & NEWS
BUSINESS IMPACT - QUALITATIVE MATERIALITY
6/10 qualitative impact moderate medium-term · soft evidence
Where AI matters: fraud/risk, personalization, prospecting, banker productivity
JPM has credible broad AI use cases across fraud, cyber defense, consumer personalization, prospecting, and investment-banking workflow, but management frames major new tools like AI cash management as early experiments and gives no revenue, cost, margin, or productivity targets. In a competitive banking market, much of the efficiency or pricing benefit is likely competed away rather than structurally expanding returns.
Caveats: No quantified AI uplift or delivery milestones; Efficiency gains may be passed through to customers or matched by peers; AI-enabled cyber and fraud risk increases operating risk; Early cash-tool experiments could raise deposit competition rather than improve economics
AI DISRUPTION / CANNIBALIZATION RISK two-sided · 3/10
AI does not automate away JPM's core balance-sheet, payments, underwriting, deposit, or regulatory franchise, so the revenue model is durable. The main threat is competitive deflation: smarter cash tools, robo-advice, fintech interfaces, and AI-enabled fraud/cyber risks could pressure deposit betas, fees, and advisory differentiation at the margin.
OPTIONS / MARKET STRUCTURE
option liquidity: good
proxy inputs — dollar-ADV $2.8B · beta 1.023 · px $300.96
source: proxy (no options chain on FMP)
FMP /stable/ exposes no options-chain endpoint on this key, so ATM IV, bid-ask spread and open interest are unavailable. Liquidity below is a PROXY from dollar-ADV, beta and price level (a stand-in for option depth), not measured option-market data.
CONFIRMATION — INSIDERS · 13F · LANGUAGE
Undercutting — insiders selling, institutions flat, management language 2/10 hedged.
INSIDERS selling 31 open-market sell(s) vs 0 buy(s) — net distribution
INSTITUTIONS (13F) flat as of 2026-03-31: 203 new / 292 closed positions; 2297 increased / 2270 reduced; institutional ownership -1.49pp; -88 net 13F holders
MGMT LANGUAGE 2/10 hedged AI discussion was minimal and framed as early, small-scale experimentation rather than a firm business driver.
hedge “there's early stages for this particular product”
hedge “it's sort of targeted at a very small subset of the client base”
hedge “the right way to think of it is sort of as an experiment right now”
VERBATIM AI QUOTES
“We're trying to look at the world from the point of view of the customer, what more can we do with them. And this is really early stages.”
— James Dimon, Q1 FY2026
“it's sort of understandable that's just gotten attention because it has sort of AI in it, and it's kind of interesting.”
— Jeremy Barnum, Q1 FY2026
“this thing is like kind of not even live yet and it's sort of targeted at a very small subset of the client base, particularly clients with investments where we think there's an opportunity to take a larger share of the investment wallet as part of this.”
— Jeremy Barnum, Q1 FY2026
“I think the right way to think of it is sort of as an experiment right now.”
— Jeremy Barnum, Q1 FY2026
“AI has made it worse, it's made it harder.”
— James Dimon, Q1 FY2026
“And maybe down the road, better ways to strengthen yourself too.”
— James Dimon, Q1 FY2026
“while we're trying to get the benefits of AI, we also are very cognizant of the risk of cyber.”
— James Dimon, Q1 FY2026
“AI and generative AI, in particular, brings both risks and opportunities from the cyber risk management perspective.”
— Jeremy Barnum, Q1 FY2026
“these more recent generative AI tools can both make it easier to find vulnerabilities, but then also potentially be deployed by bad actors in attack mode.”
— Jeremy Barnum, Q1 FY2026
“I think it's a bad idea to think you're going to deploy AI and improve your efficiency ratio because in the competitive world, I'm going to do it, everyone else is going to do it, and the benefits will be passed on to the marketplace.”
— James Dimon, Q1 FY2026
“But the second question, absolutely, it creates opportunities because if you just take our consumer business, it's true in all businesses, but just take the consumer business with the data you have and now we call it Connected Commerce, where you do travel and offers and all of these various things that people want.”
— James Dimon, Q1 FY2026
“So you can use your relations with the clients, the data you have to make the client happier.”
— James Dimon, Q1 FY2026
“We do a lot to reduce risk and fraud and scam by using AI.”
— James Dimon, Q1 FY2026
“We do a lot better job of prospecting. We offer AI services to clients, et cetera.”
— James Dimon, Q1 FY2026
“So it will enhance a lot of things you can do directly, and it will create more adjacencies in my opinion, if you can use it quickly and wisely.”
— James Dimon, Q1 FY2026
“We're adding better personalization in consumer banking credit card. We're adding AI across the company, and those are all opportunities.”
— James Dimon, Q4 FY2025
“And, yeah, AI is a little bit of that. But there are other things too.”
— Jeremy Barnum, Q4 FY2025
“We're building more AI systems.”
— Jamie Dimon, Q4 FY2025
“A lot of it is consumer-facing, digital, personalization, travel, offers, all these things. We think are wonderful things.”
— Jamie Dimon, Q4 FY2025
“I think that AI we will be spending more, but it is not a big driver I do think it'll be driving more efficiency down the road.”
— Jamie Dimon, Q4 FY2025
“efficiency because other banks have to do it too, will eventually be passed on to the customer.”
— Jamie Dimon, Q4 FY2025
“So you need to you need to build some of these things just to keep up.”
— Jamie Dimon, Q4 FY2025
ANALYST QUESTIONS ON AI
Q (Q1 FY2026, Steven Chubak): So maybe to start on the AI cash tool, which, Jamie, you commented on in your letter. There's been lots of focus on this particular at least launch given that this is a tool which could potentially result in some consumer deposit pressure as well as drive some impact on increased competition as well as higher deposit betas. I was hoping you could just speak to how you see deposit competition unfolding as similar smart tools become more widespread?
A: this thing is like kind of not even live yet and it's sort of targeted at a very small subset of the client base, particularly clients with investments where we think there's an opportunity to take a larger share of the investment wallet as part of this. So I would -- it's understandable the amount of interest that it's gotten, but I think the right way to think of it is sort of as an experiment right now.
Q (Q1 FY2026, Ebrahim Poonawala): On the risks, maybe Jamie or Jeremy, if you can just give us a sense of it's very hard for investors and for us from the outside to handicap cyber risk. We saw the headlines last week around LLM-enabled cyber risks being discussed in D.C. Like is this a different level of risk?
A: AI has made it worse, it's made it harder. Of course, we read about Mythos, which we're testing now and looking at it and it does create additional vulnerabilities. And maybe down the road, better ways to strengthen yourself too.
Q (Q1 FY2026, Ebrahim Poonawala): On the opportunity side, I think what -- it feels like the productivity boost, which for us translates into what the long-term efficiency ratio could be meaningful from AI deployment just given the speed at which the technology is evolving. Maybe talk to that, and also, does it create new business opportunities where maybe it's extending the perimeter of JPMorgan's business into new things that were harder to do and are now easier to sort of put together and grow as a business, given AI-driven technologies?
A: I think it's a bad idea to think you're going to deploy AI and improve your efficiency ratio because in the competitive world, I'm going to do it, everyone else is going to do it, and the benefits will be passed on to the marketplace.
Q (Q4 FY2025, Mike Mayo): And as it relates to AI, what was your spend last year, and where do you expect that to go, and what sort of payoffs?
A: We're adding better personalization in consumer banking credit card. We're adding AI across the company, and those are all opportunities.
Q (Q4 FY2025, Mike Mayo): Or AI spending for 2026?
A: It'll it's gonna go up a bit, but know, Mike, we have we're building more payment systems. We're building more AI systems.
Q (Q4 FY2025, Mike Mayo): And you're studying more AI?
A: I think that AI we will be spending more, but it is not a big driver I do think it'll be driving more efficiency down the road.