Amazon, Google, Meta, and Microsoft issued $244 billion in corporate bonds through 2026, more than double the prior year's volume. Demand is no longer keeping pace. Spreads are widening. Investment-grade portfolios that absorbed hyperscaler paper without friction twelve months ago are now registering mark-to-market pressure as secondary pricing deteriorates.

The four companies increased issuance to fund data center construction, AI compute infrastructure, and fiber-optic buildouts tied to generative model training. Microsoft alone tapped markets for $68 billion across five separate tranches. Google followed with $61 billion, Amazon with $57 billion, Meta with $58 billion. The debt was priced at spreads ranging from 85 to 140 basis points over Treasuries at issuance. Those same notes now trade at spreads of 110 to 175 basis points, reflecting deteriorating demand for long-duration corporate credit in an environment where the 10-year Treasury yield remains above 4.2%.

The market's capacity to absorb tech debt is finite. Global bond managers have increased their hyperscaler exposure from 3.1% of investment-grade portfolios in early 2025 to 6.8% by mid-2026. That concentration creates idiosyncratic risk. When Meta's $12 billion offering in late February priced at +125 basis points and widened to +160 within six weeks, several European insurance allocators disclosed mark-to-market losses exceeding $180 million on single positions. The correlation between hyperscaler credit and equity volatility is tightening. Volatility in MSFT, GOOGL, AMZN, and META equity has risen from an average 22 annualized vol to 31 over the past four months. Credit spreads are following.

Allocators holding hyperscaler bonds face a leverage problem disguised as stability. These companies carry combined debt loads exceeding $520 billion, up from $290 billion in 2024. Interest coverage ratios remain strong—Microsoft's EBIT covers interest 18x, Google 22x—but the trajectory matters more than the snapshot. Capital expenditures for AI infrastructure are expected to exceed $310 billion across the four companies in 2027, per their own guidance. If revenue growth from AI monetization lags capex by more than two quarters, refinancing risk becomes tangible. The next major maturity wall for hyperscaler debt arrives in Q2 2028, when $87 billion comes due. Spread widening before that window closes pricing flexibility.

Watch three markers. First, the April 15 Microsoft bond auction for $14 billion in new 10- and 30-year paper. If spreads price above +150, secondary market contagion will follow within ten days. Second, insurance company 13-F filings due May 15 will show whether large allocators reduced hyperscaler exposure in Q1. Third, the June 2027 Amazon maturity—$22 billion principal—will clarify whether the company refinances or uses free cash flow. That decision signals confidence in AI revenue timelines.

The hyperscaler credit trade worked when demand was infinite and spreads were compressing. Neither condition holds. Allocators positioned for stable yield are now managing duration risk in a sector that assumed it could borrow without consequence.