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JPMorgan's AI has cut certain teams by up to 40% even as banks rake in record earnings

July 15, 2026 · 10 min

Hugo Vance & Lila Soto

JPMorgan Chase reported a record $21.2 billion net income in Q2 2026 — up 41% year-over-year — while CEO Jamie Dimon disclosed on the same earnings call that AI had cut 30–40% of jobs in certain divisions. Consumer Chief Marianne Lake added that AI could trim operations headcount by another 10%.

JPMorgan Chase reported second-quarter 2026 net income of $21.2 billion, a 41% year-over-year increase and the highest quarterly profit in the bank's history, driven by surging equities trading revenue, a $4.6 billion gain on its Visa stake, and investment banking fees of $3.3 billion — their highest since 2021.

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About this episode

On July 14th, JPMorgan Chase reported $21.2 billion in net income — the highest quarterly profit in its 160-year history, up 41% year-over-year. In the same earnings call, Jamie Dimon disclosed that AI has already cut 30 to 40 percent of jobs in certain divisions, and consumer chief Marianne Lake said another 10 percent reduction in operations headcount is coming. The episode takes that simultaneity seriously and asks what it actually means — because the popular read, that this is proof AI makes banks more profitable, is almost certainly wrong, and Dimon himself says so. The $21.2 billion figure includes a $4.6 billion one-time gain on a Visa stake sale, and the record investment banking fees trace to singular deals like SpaceX's IPO rather than any structural AI dividend. What the Q2 disclosure does represent, genuinely and for the first time, is AI-driven labor displacement crossing from executive talking point to cross-industry, audited financial fact. The harder question the episode stays with is the one that remains entirely unresolved: JPMorgan's total headcount is roughly flat, and Dimon says displaced workers are being redeployed — but the specific divisions affected are unnamed, and no external party can verify what those roles pay, where they are, or whether the workers who landed in them are actually better off. If this becomes the template, the episode asks, who is ever accountable for the quality of the jobs built to replace the ones AI took?

Frequently asked

How many jobs has JPMorgan cut due to AI?

JPMorgan CEO Jamie Dimon disclosed on the July 14, 2026 earnings call that AI had eliminated 30 to 40 percent of jobs in certain specific divisions. Consumer Chief Marianne Lake separately stated that AI could cut operations headcount by an additional 10 percent. The affected divisions have not been publicly named.

Did JPMorgan's record profits in 2026 come from AI?

JPMorgan's $21.2 billion Q2 2026 net income is not cleanly attributable to AI. The figure includes a $4.6 billion one-time gain on its Visa stake and $3.3 billion in investment banking fees driven by once-in-a-cycle deals like SpaceX's IPO. Dimon himself said AI efficiency gains pass to customers, not shareholders.

Is JPMorgan laying off workers because of AI?

JPMorgan's total headcount of roughly 318,500 remained approximately flat through Q2 2026, but CEO Jamie Dimon confirmed AI cut 30–40% of roles in certain divisions. Consumer Chief Marianne Lake projected further operations cuts of around 10%. The bank says displaced workers are being redeployed, but affected divisions and role details remain undisclosed.

Are displaced JPMorgan workers actually being redeployed into new roles?

JPMorgan claims 'significant redeployment initiatives' are underway, with most displaced employees offered alternative roles — Dimon's words as of February 2026. However, the specific divisions cut, wage comparability, and role quality for relocated workers have not been publicly reported, making independent verification impossible as of Q2 2026.

Is AI-driven job displacement in banking an industry-wide trend in 2026?

Yes. In Q1 2026, six major banks collectively shed 15,000 jobs while posting $47 billion in combined profits, with CEOs naming AI directly in regulatory disclosures for the first time. Goldman Sachs' equities trading division posted a record $7.4 billion in Q2 2026, up 72% year-over-year, reinforcing that the pattern is cross-firm and balance-sheet-measurable.

Grounded in 12 sources
Banks rake in big profits as both Wall Street and the US consumer stay strong | AP News · apnews.com
The AI boom just found two new winners: Goldman Sachs and JPMorgan Chase - CNBC · cnbc.com
JPMorgan Chase beats on top and bottom lines in Q2 - CNBC · cnbc.com
SpaceX and other mega AI deals are lifting big bank profits. CEOs say more are coming. - Yahoo Finance · finance.yahoo.com
JPMorgan posts record profit on big gains from dealmaking, stock trading - Reuters · reuters.com
Jamie Dimon says AI already reduced jobs in some areas by 40% — but it's not making JPM dramatically cheaper to run - Business Insider · businessinsider.com
Banks Had a Blockbuster Quarter, but CEOs Said It's Not the New Normal - Business Insider · businessinsider.com
Wall Street’s six largest banks cut 15,000 jobs and posted $47 billion in profits. The CEOs stopped pretending. · thenextweb.com
Dimon says AI already eliminated 30 to 40 percent of jobs in some JPMorgan divisions · thenextweb.com
JPMorgan AI Cuts Up to 40% of Jobs in Some Teams · briefs.co
Jamie Dimon’s AI Reckoning: 40% Job Cuts at JPMorgan, Token Costs Loom, Yet Margins Stay Grounded · webpronews.com
JPMorgan $21.2B record profit · x.ai
Read transcript

Hugo Vance: Lila, I want to start with the number before anything else — twenty-one point two billion dollars.

Lila Soto: Oh, that's the JPMorgan Q2 figure — yeah, I've been staring at that all morning, what about it?

Hugo Vance: That is JPMorgan Chase's net income for a single quarter. Up forty-one percent year-over-year. The highest quarterly profit in the bank's history going back a hundred and sixty years. Jamie Dimon announces that number on July 14th, and in the same earnings call — the same call — discloses that AI has cut thirty to forty percent of jobs in certain specific divisions.

Lila Soto: The simultaneity of that is — I mean, it's almost too on the nose.

Hugo Vance: And then he immediately argues — to the analysts who were presumably ready to raise their price targets — that competitive market dynamics mean those AI efficiency gains will not accrue to shareholders but pass to customers. He rejects the margin expansion thesis himself.

Lila Soto: Record profit, mass cuts, and 'don't get excited' — all in the same breath. What does that feel like from the inside of that room?

Hugo Vance: Marianne Lake — JPMorgan's Consumer Chief — adds a separate layer: AI will let the bank cut headcount another ten percent in operations. So we have two senior executives, same morning, sketching what is now effectively institutional policy.

Lila Soto: That's what we're getting into today — JPMorgan's Q2 earnings call, what Dimon and Lake actually put on the record, and the bigger thing underneath it.

Hugo Vance: What Lake and Dimon put on record is actually the complication — because executives have been saying this kind of thing in conference rooms for years. What's new, and I mean genuinely new, is that it's now in audited public financials.

Lila Soto: Say that again — because I think people might miss why that distinction matters.

Hugo Vance: Think of it this way. A bank manager used to need ten people to review loan applications. AI now does eight of those jobs automatically, so the manager keeps two. That's not a rumor — it's in the earnings report, signed off by auditors. You can subpoena it.

Lila Soto: And that transition — from rumor to audited fact — that's what Q1 2026 actually was, not Q2. I mean, six banks shed fifteen thousand jobs that quarter, posted forty-seven billion in collective profits, and — CEOs actually named AI in the disclosures themselves for the first time. Not euphemisms, not 'efficiency initiatives.' AI.

Hugo Vance: Yes. And then Q2 scales it. Goldman Sachs' equities trading division — seven point four billion dollars, up seventy-two percent year-over-year. An all-time record for any single bank trading division in history. Now, you can't attribute that entirely to AI labor cuts, the market backdrop is exceptional — but the pattern is now cross-firm and you can actually trace it across balance sheets.

Lila Soto: Seven point four billion — from one division?

Hugo Vance: One division. Goldman Sachs. Single quarter. That's the number that tells me the pattern isn't JPMorgan-specific — it's structural. JPMorgan operates roughly a thousand AI use cases already, fraud detection, marketing, operations. Goldman is on the other end of the trade and still posting that. The displacement and the profit are moving together across the whole sector, not just one firm's earnings call.

Lila Soto: Which means what people thought was Jamie Dimon being unusually candid — it's actually just the first visible edge of something that's already industry-wide and measurable. That's what's actually new.

Hugo Vance: But that's precisely where the circulating take goes wrong — and I want to name it directly. The hot read from the earnings season is: JPMorgan proves AI makes banks more profitable. That is the wrong read. And Dimon himself, on the same call, dismantles it.

Lila Soto: Wait — he killed his own headline?

Hugo Vance: Two moves. First — that twenty-one point two billion includes a four point six billion one-time gain on JPMorgan's Visa stake. That's not operations. That's not AI. That's an asset sale. Pull it out, and the number looks materially different.

Lila Soto: And the investment banking fees — the three point three billion, up thirty percent — that's SpaceX's IPO, Alphabet's follow-on. I mean, those are once-in-a-cycle deals. That's not a repeatable AI dividend, that's just... a very good market.

Hugo Vance: Highest investment banking fees since 2021, yes. And CEOs across the street — not just Dimon — explicitly said these results are not the new normal. That phrase came from multiple earnings calls. So the profit story and the AI story do not cleanly overlap. They happened simultaneously, which is not the same as causally.

Lila Soto: Okay but Dimon name-checks Block. The fintech. As the more aggressive version of AI-driven cuts. In his own earnings call. If AI is your profit engine, why are you pointing at a fintech and basically saying 'they're doing it harder'?

Hugo Vance: Well, you see, that's the tell. If the margin story held — if AI efficiency reliably accrued to shareholders — you don't mention Block. You take the credit. The fact that he reaches for an outside example suggests he already knows the competitive dynamics eat the savings. He said it plainly: gains pass to customers, not shareholders. He rejected the margin expansion thesis himself, on a record earnings call. That is an extraordinary thing to do.

Lila Soto: No, I don't buy that the market actually heard it that way — the stock didn't punish him for saying it.

Hugo Vance: Indeed — and the redeployment claim is where that gap gets genuinely uncomfortable. Which is the part we haven't touched yet, and I think when we do, the accountability problem becomes something else entirely.

Lila Soto: And that's the accountability gap — because 'redeployment' sounds like protection until you actually ask what it means. Picture a JPMorgan fraud review team in Columbus, Ohio — whole unit, maybe twelve people, cut by thirty-five percent. The three who stay are told they've been redeployed to a technology liaison role in a different division. Same pay? Different city? I mean, we genuinely don't know. Dimon said in February 2026 that 'significant redeployment initiatives' were underway, most displaced employees offered alternative roles. Most. Offered. Those are two very load-bearing words.

Hugo Vance: And the headcount number doesn't help us here. Three hundred eighteen thousand, five hundred twelve employees — roughly flat. That sounds stable. It is not the same as no harm.

Lila Soto: Right — but the part that doesn't fit is that the composition shifted. Operations and support going out, technology and advisory coming in. Those are different skill profiles, different pay grades probably, different geographies.

Hugo Vance: And we cannot verify any of it — because the specific divisions where those thirty to forty percent cuts occurred have not been publicly named. Not once. So independent assessment of scale, wage comparability, role quality — none of that is possible.

Lila Soto: Wait, the divisions are just... unnamed?

Hugo Vance: Unnamed. Which is why the ATM parallel matters so much. Banking promised, in the nineteen-seventies, that ATM deployment would compress consumer fees. What actually happened — fees climbed for thirty years. The automation wave and the consumer benefit story ran in completely opposite directions. Now, what would have to be different this time? Not a Dimon speech. Actual comparative pricing data across competitors, three to five years, showing measurable fee compression traceable to these specific labor cuts.

Lila Soto: And if Q3 or Q4 disclosures still don't name the affected divisions or report anything on role quality — at what point does 'redeployment' just become a narrative device?

Hugo Vance: That is precisely the watch item. If the disclosure doesn't get more granular by year-end — division names, wage comparability, role classifications — then yes. It is a narrative device. A useful one, but unverified.

Lila Soto: Which means the real question isn't whether JPMorgan cut those jobs. It's whether anyone outside the firm will ever be able to check what those workers actually landed on.

Hugo Vance: And that's the question I can't get past the end of. JPMorgan's Q2 2026 disclosure is — and I mean this precisely — the first moment AI-driven displacement becomes a cross-industry, audited, publicly admitted financial pattern. Not a forecast. Not a McKinsey slide. Balance sheets. Signed. But whether the workers who were moved are genuinely better off in those redeployed roles — that remains entirely unverified, unreported, by anyone outside the firm.

Lila Soto: Yeah, and I guess that's the thing I'm left holding — if this becomes the template, AI cuts labor, the savings get competed away, and workers get shuffled into roles nobody external ever checks — then the question isn't whether AI destroys jobs. It's whether anyone will ever be accountable for the quality of the ones built to replace them. I don't know who that falls on. A regulator? The firm itself? I genuinely don't know.

Hugo Vance: No. Neither do I.

Lila Soto: Thanks for working through this one with me — it's heavier than I expected it to be.

JPMorgan's AI has cut certain teams by up to 40% even as banks rake in record earnings · Onpode