Bond investors balk at AI capex surge, credit costs rising for Google, Amazon, Meta

The bond market's widening skepticism of AI capex budgets reflects a fundamental tension in how the technology industry is financing its infrastructure blitz. For years, the largest tech companies built their reputations as capital fortresses—firms that could absorb massive spending without straining their balance sheets. But the scale of AI buildout has altered that calculus. According to Mizuho, the hyperscalers are now projected to spend more on capex than they generate in free cash flow by next year, a striking reversal that has spooked fixed-income investors who must evaluate credit risk over multi-year bond maturities.

Energy cost inflation is a material driver of this concern. With oil recently breaking above $100 a barrel and GE Vernova's CEO expecting the inflationary environment to persist, the operating expense side of data-center economics is deteriorating. Bond investors, accustomed to evaluating tech firms on revenue growth and cash conversion, are now forced to model scenarios where capex consumes free cash flow—a scenario that raises questions about dividend sustainability, share buybacks, and debt repayment capacity. Oracle's downgrade to BBB− illustrates how acute the concern has become: the ratings agency moved a large, profitable company to near-junk status partly because of uncertainty around data-center capital intensity and OpenAI execution risk.

Meta's $12 billion Texas data center refinancing at higher rates is the clearest market signal yet. When lenders insist on rate premiums for deals they view as less attractive than prior ones, they are directly pricing in skepticism about whether the investment will earn its cost of capital. This dynamic, playing out across the sector, has the potential to make future AI infrastructure deals more expensive or harder to arrange—a real constraint on the speed of buildout.