The AI Boom Has a Quiet Winner: The Banks That Get Paid Either Way
04 Aug 2026
July's chip-stock selloff erased hundreds of billions in market value in days. For businesses tracking the AI infrastructure cycle, the more instructive story isn't which chipmaker fell furthest, it's which institutions kept collecting fees regardless.
Global markets went through one of their most turbulent stretches in years last month. Semiconductor stocks fell nearly 30% from their June highs, South Korea's exchange halted trading twice in consecutive sessions for the first time in its history, and the US Federal Reserve delivered a rate decision that reassured almost no one. Within days, several of the same tech names that had cratered recovered hundreds of billions of dollars in value.
For business leaders and investors trying to read the AI capital cycle rather than trade its daily swings, July's volatility offers a useful lens: rather than betting on which chipmaker or cloud platform ultimately wins, look at who gets paid to move the capital, no matter which direction it moves in.
Why the Fee Engine Matters to Business Strategy
Investment banks such as Goldman Sachs don't build data centres or manufacture chips. They structure and arrange the financing behind them, earning a fee each time capital changes hands. During a capital-expenditure boom, that means underwriting and advisory fees as hyperscalers issue debt and equity to fund AI infrastructure. During a downturn, the same institutions earn fees again, this time from restructuring, mergers, acquisitions and distressed financing as valuations reset.
For companies planning capital allocation around AI, whether raising financing for infrastructure, evaluating M&A in the space, or simply trying to understand where risk is concentrated in the supply chain, this two-sided fee model is a useful proxy for how professional capital is positioning through the cycle.
Goldman Sachs's second-quarter results, reported on 14 July, roughly two weeks before the worst of the selloff, show the boom side clearly. The bank posted diluted earnings per common share of $20.98, against an annualised return on average common shareholders' equity of 23.5%,nearly double the $10.91 per share reported a year earlier, and well ahead of the $14.47 analysts had expected.
The growth was concentrated in exactly the business lines tied to AI-driven capital raising. Investment banking fees climbed 55% to $3.40 billion, supported by record debt underwriting and strong equity underwriting activity, while equities revenue hit a record $7.42 billion, up 72% year over year. The bank's advisory backlog reached its highest level in five years. CEO David Solomon was explicit about the driver: the AI infrastructure build-out, he said, is still in its early stages and is expected to keep generating financing and advisory demand.
The Stress Test: What July Showed Business Leaders
The month's volatility began in Korea. On 13 July, SK Hynix — a key supplier of the high-bandwidth memory used in AI accelerators — fell a record 15% in a single session, part of a broader selloff that triggered a market-wide circuit breaker on the Kospi. Sentiment worsened further at the end of the month: on 29 July, SK Hynix posted its most profitable quarter on record and still missed what the market required, triggering a second consecutive circuit-breaker halt — a first in the exchange's history. Combined with a competing $8.6 billion IPO from China's ChangXin Memory and reports of new domestic chipmaking capacity, pressure spread across the sector. The Philadelphia Semiconductor Index closed the month roughly 28.6% below its late-June peak.
Nvidia briefly lost its position as the world's most valuable company on 27 July after a near-5% share price decline. More telling for businesses assessing counterparty and supply-chain risk was the reaction in credit markets, where the cost of insuring Nvidia's debt spiked sharply — a sign that credit desks were repricing risk they had previously treated as negligible.
A Divided Fed Added Uncertainty, Not Clarity
The Federal Reserve's late-July meeting compounded the volatility rather than easing it. The Federal Open Market Committee voted 9-3 to hold the federal funds rate at 3.5%–3.75%, with three regional bank presidents,Cleveland's Beth Hammack, Minneapolis's Neel Kashkari and Dallas's Lorie Logan, dissenting in favour of a rate hike. It was the largest bloc of same-direction dissents on the committee since 2016.
Markets read that division as a warning sign rather than reassurance. The Dow fell 1,153 points that day, its worst session since April 2025. Fed Chair Kevin Warsh, only weeks into the role, offered little guidance on the central bank's next move, leaving businesses and investors to navigate real policy uncertainty ahead of the September decision.
Reading the Thesis Correctly: Caveats for Decision-Makers
The case for fee-based financial institutions as a lens on the AI cycle is a relative one, not a defensive one, and it comes with real limits worth flagging for any business or investment decision built around it.
Bank equities are not insulated, they fell alongside the broader tech complex in late July, since the thesis concerns the durability of fee income through the cycle, not protection from share-price volatility.
They are not neutral intermediaries either. As major lenders to leveraged market participants, banks carry direct exposure to the same leverage that amplifies both booms and busts, a materially different risk than simply collecting a transaction fee.
Valuations were also elevated heading into August, trading near record levels relative to tangible book value, with some analysts arguing this reflects a cyclical peak in fee income rather than a durable new baseline. And restructuring fees have historically not offset a genuine credit event: in both 2008 and 2022, underwriting and advisory revenue fell together, not in an offsetting pattern. The model cushions a slowdown; it does not neutralise a full credit crisis.
Even Solomon has struck a more measured tone than the headline numbers suggest, noting repeatedly that enterprise adoption of AI is proving slower and more complex than markets had priced in.
The Business Takeaway
None of this suggests financial institutions offer a hedge against a broader AI-driven market correction — high-beta stocks rarely do. The more useful takeaway for business strategy is about diversification of exposure within a multi-trillion-dollar capital cycle: rather than concentrating risk in a single supplier exposed to sudden shifts in memory pricing, export policy, or geopolitics, tracking the institutions that structure financing on both sides of the cycle offers a broader read on where professional capital sees durable value.
Whether current valuations represent a sound entry point is a separate question and one that depends heavily on a still-undecided Fed and a run of scheduled earnings ,that could move sentiment sharply in either direction through the rest of the month.
This article is for general informational and educational purposes only and does not constitute financial, investment, legal or tax advice. Mentions of specific companies or tickers do not constitute a recommendation to buy or sell any financial asset. Readers should conduct independent research or consult a licensed advisor before making financial decisions.
Sources
- Goldman Sachs, Second Quarter 2026 Earnings Results
- Zacks Investment Research, Goldman Q2 Earnings Beat on Solid Trading & IB Revenues, Shares Rise
- GuruFocus, The Goldman Sachs Group Inc (GS) Q2 2026 Earnings Call Highlights
- Advisor Perspectives, SK Hynix Shares Plunge Most on Record in Deepening Korea Selloff
- Bloomberg, Korean Stocks Plunge 16% in Two-Day Burst of Retail Selling
- Yahoo Finance / Bloomberg, Korean Stocks See Record Wave of Trading Halts on Chip Selloff
- TechTimes, KOSPI Triggers Historic Back-to-Back Circuit Breakers as AI Memory Rally Faces Structural Reckoning
- CNBC, Fed rate decision July 2026: Divided Fed holds interest rates steady
- CNN Business, Fed holds interest rates steady after cliffhanger meeting, but three officials dissent
- Bloomberg, Fed Holds Rates Steady as Three Officials Dissent in Favor of a Hike
- BeInCrypto, "Who Gets Paid When AI Crashes?" newsletter, Brian McGleenon, 1 August 2026
