# AI Buildout Faces Higher Capital Costs as Debt Demand Rises

By Simon Yoon

Canonical URL: https://www.tokenpost.com/news/technology/28095
Published: 2026-10-08T13:22:50.000Z
Updated: 2026-10-08T13:22:50.000Z
Section: Technology

> The five largest U.S. hyperscalers are expected to spend about $800 billion in 2026, while AI-related debt issuance approaches $500 billion.

AI infrastructure investment is expanding into a capital-intensive cycle as government borrowing, inflation risks and higher bond yields increase competition for funding.

The five largest U.S. hyperscalers are expected to spend about $800 billion on capital expenditures in 2026. Broader AI-related investment is projected at more than $1 trillion globally this year, including $581 billion in the United States.

AI-related debt issuance stood at nearly $500 billion in 2026 as of Aug. 5. Hyperscalers accounted for $194 billion of global debt issuance by that date, compared with $108 billion during all of 2025.

“We’re already at a point where CapEx is quickly approaching cash flow from operations,” said Amanda Lynam, head of credit strategy research at Goldman Sachs.

The financing push comes as the 30-year U.S. Treasury yield had moved above 5%, its highest level since 2007. Higher government borrowing and inflation risks are adding to competition for capital.

“Bond yields are climbing in response to increasing inflation risks as well as growing government-debt issuance, which is resulting in more competition for capital,” said Peter Oppenheimer, chief global equity strategist at Goldman Sachs Research.

Oppenheimer said demand for capital is also rising to build AI infrastructure and critical infrastructure in energy and defense. He described a sharp increase in bond yields from current levels as “an additional meaningful risk for equity investors.”

AI investment is projected to equal 1.8% of U.S. GDP in 2026, rising to 2.5% in 2027 and 2.8% in 2028. The commonly cited $794 billion estimate for hyperscaler capital spending may understate global AI investment by about $200 billion while overstating U.S. investment by the same amount.

The physical buildout is also extensive. Investment in data centers, power systems and chips is projected at $10.3 trillion from 2025 through 2032, equal to an average 3.63% of U.S. GDP annually.

For crypto and blockchain infrastructure, the financing pressure is most relevant to data centers, power capacity and specialized hardware. Those projects require substantial upfront capital and connect the sector’s expansion plans to broader credit-market conditions.

“There’s a significant amount of uncertainty as to how large of a role the debt markets will play,” Lynam said.