The news: JPMorgan posted the highest quarterly profit in US banking history. The largest banks are benefiting from robust capital markets activity centered on AI companies, trading activity, and resilient consumer spending. Still, executives warn macro risks are accumulating beneath the surface, according to The New York Times.

How we got here: The five largest US banks—JPMorgan, Bank of America, Citigroup, Wells Fargo, and Goldman Sachs—generated a combined $49 billion in profits for Q2 2026. That’s largely because:

• Investment banking rebounded sharply as AI-related IPOs, equity offerings, debt issuance, and merger and acquisition activity accelerated. Investment banking revenue rose 55% at Goldman Sachs, 50% at Bank of America, and 30% at JPMorgan, driven by strong equity underwriting and financing activity.
• Equities trading delivered outsized gains as active markets and AI-related capital markets activity boosted volumes. Equities trading revenue jumped 86% at JPMorgan and 72% at Goldman Sachs. JPMorgan CFO Jeremy Barnum said much of the activity was "downstream of the AI theme writ large on a global basis."
• Consumer and commercial banking remained resilient. Executives at JPMorgan, Bank of America, Wells Fargo, and Citigroup pointed to healthy consumer spending, stable credit quality, and continued business investment despite geopolitical uncertainty and inflation, supporting lending, payments, and deposit business.

Banks expect the momentum to continue. According to CNBC, Goldman CEO David Solomon said the firm's deals backlog is at its highest level in five years and described the AI infrastructure investment cycle as being in "early innings." And JPMorgan CEO Jamie Dimon said every major business line posted record revenue during the quarter.

Implications for banks: Though earnings are diversified from traditional drivers, banks are increasingly reliant on continued investor appetite to finance the AI buildout. AI companies are raising equity,  issuing large amounts of debt, and relying on increasingly complex financing structures to fund data centers and chip infrastructure. As a result, banks are earning fees across nearly every stage of the AI capital cycle. Reuters reports AI-related debt represents nearly 15% of US investment-grade bond issuance this year, while bankers are expanding into new currencies and financing structures to meet demand. 

The same forces producing today's record earnings could become tomorrow's headwind as banks face growing earnings concentration risk. If investor enthusiasm for funding AI infrastructure cools—or companies slow capital spending on chips, cloud capacity, and data centers—underwriting, advisory, lending, and trading revenues could all weaken simultaneously.

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