30-Year Treasury Yield Tops 5.3%, Pressuring AI Stocks

The AI trade is no longer just a technology story — rising long-term yields are turning it into a credit-market test.

The 30-year Treasury yield climbed to 5.33% intraday, its highest since 2007, knocking the Nasdaq Composite down 1.33% and the Philadelphia Semiconductor Index about 5% as investors repriced the cost of funding the AI build-out.

"The buyer base is shifting toward price-sensitive investors," said Anshul Pradhan, head of US rates research at Barclays Capital, noting private investors now hold 73 percent of the Treasury market, up from roughly half a decade ago.

Memory and optical-communication names led the decline, with SanDisk down about 9 percent, Micron Technology 7 percent, and Western Digital 7.4 percent. Nvidia fell 2.2 percent to $220.08 even after reporting fiscal first-quarter revenue up 85 percent to $81.6 billion, with data-center revenue jumping 92 percent to $75.2 billion. The 10-year yield reached 4.739 percent, while oil traded above $90 a barrel.

The selloff marks a shift in how the market prices AI: no longer just on demand growth, but on whether project returns can beat a rising cost of capital. With US net interest payments at $970 billion in fiscal 2025 and projected to top $1 trillion in 2026, long-term yields may stay elevated even if the Fed cuts short-term rates.

AI's $3 Trillion Off-Balance-Sheet Pledge

The transmission runs through the credit market. As of July, dollar-denominated debt issued by hyperscalers, data centers, and other AI infrastructure projects reached about $308 billion, roughly 13 times the $22 billion issued in the same period last year, according to Goldman Sachs estimates. Morgan Stanley forecasts global AI-related debt issuance could approach $570 billion in 2026.

Beyond the debt already on the books, Alphabet, Amazon, Meta, and Microsoft hold more than $3 trillion in off-balance-sheet commitments — uncommenced leases and procurement contracts — that lock in cash outlays for years. Alphabet alone disclosed about $811 billion in procurement and contract commitments. These are not hidden liabilities in the accounting sense, but they mean the capital expenditure visible today understates the cash already committed to AI construction.

Who Bears the Rate Risk

The most exposed names are neo-cloud operators that must fund expansion through continuous fundraising. CoreWeave raised its 2026 capital expenditure forecast to $35 billion to $39 billion, with an order backlog of $104.2 billion at the end of the second quarter. Nebius completed about $4.3 billion in convertible-bond fundraising this year. For these companies, stronger demand requires more construction and more borrowing, so a rising cost of capital directly erodes project returns.

Oracle sits in a distinct category. Its free cash flow for fiscal 2026 has turned negative, it holds about $260 billion in future data-center lease contracts, and its debt has swelled to roughly $129.5 billion. S&P Global Ratings has downgraded the company to BBB-minus, shifting market focus from AI order growth to its balance sheet.

By contrast, cash-generative platforms such as Microsoft, Alphabet, and Amazon face valuation pressure rather than near-term solvency risk. Nvidia and Broadcom, with strong cash flows and pricing power, are more insulated from funding costs, though Nvidia's deepening involvement in AI infrastructure financing ties its fortunes more closely to the credit cycle.

Defensives Gain as Yields Stay High

The rotation is already visible. Energy, healthcare, and consumer staples — sectors that generate cash from existing assets with limited funding needs — showed relative resilience in the August 18 session. Home Depot, reporting second-quarter results, offers a near-term read on whether elevated yields are filtering into household spending; Wall Street expects $4.73 a share in earnings on $47.2 billion of revenue.

The key question for the AI trade is whether the Fed can offset the move. The central bank controls short-term rates, but the 30-year yield reflects inflation expectations, fiscal deficits, and Treasury supply. Lacy Hunt, long a US Treasury bull, recently pivoted, arguing that deglobalization, AI, power grids, and defense investment are competing for limited capital and could push the long-run equilibrium inflation range from 1.5 percent to 3.5 percent up to 3.5 percent to 4.5 percent.

If long-term yields stay elevated, AI valuations must adjust to a higher cost of capital. The next test comes at Jackson Hole, Aug. 27-29, where Federal Reserve Chair Kevin Warsh is scheduled to speak, followed by the Bank of Japan's rate decision Sept. 18.

This article is for informational purposes only and does not constitute investment advice.