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US AI Giants’ $220B Debt Spree: Rising Borrowing Costs Signal Capex Strain

US AI giants have issued $220B in debt this year, but tech bond spreads have widened to 89bp, signaling rising financing costs. This could pressure future AI capex and impact the optical, NAND, and networking supply chain.

US AI Giants Issue $220B in Debt This Year, Tech Spreads Widen

According to WuBlockchain, US artificial intelligence giants have issued a staggering $220 billion in corporate debt this year, as the capital-intensive race to build AI infrastructure accelerates. However, the cost of that borrowing is climbing: technology bond spreads have widened to 89 basis points, signaling that investors are demanding higher compensation for risk amid ballooning leverage.

The Debt-Fueled AI Capex Boom

The debt issuance reflects an unprecedented capex cycle. Hyperscalers and AI-focused firms are borrowing heavily to fund data centers, GPU clusters, and networking equipment. While order books for optical fiber, 1.6T optical modules, and NAND flash remain robust—with rising profits and gross margins—the strain is showing on cash flows. Companies are prioritizing growth over near-term profitability, a bet that has historically paid off in tech but now carries higher financing costs.

Why Spreads Are Widening

The 89bp spread, up from tighter levels earlier in the year, is a warning shot. It reflects concerns that the AI capex cycle may be peaking, or at least that the debt load is becoming less comfortable. Rising interest rates and a more cautious credit market are compounding the pressure. For firms that have relied on cheap debt to fund moonshot projects, the math is getting harder.

Implications for the AI Supply Chain

The supply chain—optical components, memory, and networking gear—is benefiting from the demand surge. But there is a catch: if financing costs force AI giants to compress capex, those orders could slow. The sustainability of NAND pricing and optical module demand is now tied to the health of corporate balance sheets, not just end-user demand.

Forward-Looking Perspective

Investors should watch two key variables: the trajectory of tech credit spreads and the pace of capex guidance in upcoming earnings calls. A continued widening could trigger a self-reinforcing cycle—higher costs lead to capex cuts, which depress supplier revenues and further stress credit. Conversely, if AI revenues start to justify the debt, spreads could stabilize. The next few quarters will be pivotal for the AI trade, with the bond market acting as an early warning system.

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