AI spending surge to $1 trillion sparks bond market pushback

Alphabet's decision to raise its AI infrastructure spending forecast sent bond yields climbing this week, as fixed-income investors demanded higher compensation for lending to the world's largest technology companies.

"The transition from asset-light to asset-heavy models requires unprecedented levels of investment and capital raising," Moody's Ratings said in a research note this week, warning that the spending surge threatens credit quality across the six hyperscalers it tracks.

Moody's projects capital expenditures across Microsoft, Amazon, Alphabet, Meta, Oracle and CoreWeave will reach $785 billion in 2026 before hitting roughly $1 trillion next year. Direct debt across the group has climbed to approximately $460 billion, while off-balance-sheet lease commitments have ballooned to $1.2 trillion — more than $820 billion of which comes from data centers still under construction. Alphabet last month announced an $85 billion equity sale, tapping public markets to help fund its buildout. Credit spreads for Google, Amazon and Meta have widened as bond investors demand higher yields on the companies' debt.

The widening credit spreads signal that bond investors are questioning whether the massive upfront investment in AI infrastructure will generate adequate returns. The shift breaks a decades-old Silicon Valley formula where software companies generated fat profit margins with minimal physical assets, replacing it with a capital-intensive model that demands warehouses full of expensive, energy-hungry servers and chips.

The Circular AI Economy

Moody's highlighted a structural circularity within the AI boom that compounds the risk. Some of the multibillion-dollar backlogs reported by hyperscalers stem from strategic deals with pre-IPO AI labs including OpenAI and Anthropic. Those same labs spend heavily on cloud computing from the investors that funded them, creating what Moody's described as a circular system where the industry's biggest companies depend on the same customers and the same assumptions about future demand.

The overlapping relationships mean that a slowdown in AI adoption would ripple through the entire chain simultaneously — hitting cloud revenue, reducing the need for data center capacity and undermining the revenue projections underpinning the spending plans. Demand for AI computing remains strong for now, Moody's said, and cloud businesses continue to grow, but the structural dependency introduces a fragility that the industry's asset-light past never had. The six hyperscalers have signed hundreds of billions of dollars in long-term customer contracts that should provide predictable revenue, but those contracts are concentrated among the same AI labs that depend on the hyperscalers for funding.

Who Bears the Risk

Despite the warning, Moody's noted that Microsoft, Alphabet, Amazon and Meta retain among the strongest corporate balance sheets in the world, making it unlikely their investment-grade ratings face imminent threat. The immediate pressure is concentrated on lower-rated entities.

Oracle carries a Baa2 rating with a negative outlook, placing it just two notches above junk status. CoreWeave, the specialized AI cloud provider, operates in the high-yield market with a Ba3 rating and relies on complex private debt structures to finance its GPU hardware fleets. The divergence between the top-tier hyperscalers and their smaller rivals is likely to widen as borrowing costs rise and investors become more selective about AI infrastructure exposure.

Even for the top-tier hyperscalers, the shift from asset-light to asset-heavy represents a structural change that investors have not fully priced. Free cash flow across the sector is coming under pressure as AI hardware and infrastructure require massive upfront investment while revenue materializes over a longer time horizon, Moody's said.

For investors, the key question is whether the trillion-dollar buildout will deliver returns before the bond market forces a reckoning. Alphabet shares trade at roughly 22 times forward earnings, a premium that reflects optimism about AI-driven growth but leaves little room for disappointment on the cost side. If rising borrowing costs begin to squeeze margins, equity valuations for the hyperscalers could face pressure even as their credit profiles remain intact. Moody's said investors will "increasingly focus on these companies' ability to realize an adequate return on investment." The ratings firm's warning adds a new layer of scrutiny to an industry that has, until now, enjoyed near-unconditional support from both equity and debt markets.

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