How are big tech companies shifting from cash to debt financing?
Core argument: Sell-side forecasts point to more than $2.7 trillion of cumulative hyperscaler capex outlays from 2025 to 2029, the majority tied directly to AI infrastructure, with hyperscaler capex already tripled since 2023.
The estimated capex needs, especially if the more optimistic scenarios for AI adoption are realized, are staggering. Hyperscaler capex has already tripled since 2023, with Amazon, Meta, Oracle, Alphabet (Google) and Microsoft together sponsoring the largest private-sector infrastructure buildout in decades. Sell-side forecasts now point to more than $2.7 trillion of cumulative outlays from 2025 to 2029, the majority tied directly to AI infrastructure. Initial capex outlays were largely self-funded with internal cash flow, but we expect debt to play a more central role in funding the hyperscalers’ capex programs going forward which will have meaningful implications for credit markets. This pivot is already visible in recent debt issuance patterns. In the last three months of 2025, Oracle, Meta, Google and Amazon priced multibillion-dollar deals totaling $90 billion. Oracle raised debt equivalent to nearly 40% of its $50 billion fiscal year 2026 capex guidance, while Meta and Alphabet issued debt equivalent to approximately 30% and 20% of their fiscal year 2026 capex forecasts, respectively. These debt issuances represent a material shift in these companies’ historical reliance on cash flow-funded financing models. Allocators may be taking on a growing, often hidden, “AI beta” across asset classes. For fixed income investors, this means considering a broader set of assets.

