AI Infrastructure Debt Set to Hit $570 Billion in 2026 as Data Center Race Accelerates
Global AI-related debt issuance is projected to reach nearly $570 billion in 2026, more than double last year's total, according to Morgan Stanley. Major firms including Alphabet, Broadcom, and Apollo are pouring capital into data centers, energy, and AI compute capacity.
Global AI-related debt issuance is on track to reach nearly $570 billion in 2026, more than double the previous year's total, according to projections from Morgan Stanley cited in a June 10 report from TechStartups.
The surge reflects a shift in the AI industry from software experimentation to large-scale physical infrastructure. Companies are now building data centers, securing energy contracts, and acquiring hardware at a pace that requires massive capital raises.
Alphabet has sought $80 billion in equity to fund infrastructure expansion. Super Micro Computer announced a $7 billion equity raise to meet demand for AI-optimized servers. Broadcom, Apollo, and Blackstone launched a $35 billion platform specifically to finance AI compute capacity.
OpenAI is reportedly in talks to lease a 10-gigawatt data center campus in Ohio with Nvidia's backing. Meta is using rapid-deployment tent structures to accelerate data center capacity at several sites.
Nvidia remains central to the buildout, securing major partnerships in South Korea for AI memory, cloud, and robotics infrastructure. At the same time, Amazon, Alphabet, and Microsoft are developing custom AI chips to reduce long-term dependence on third-party suppliers.
The scale of investment has raised questions about returns. Some analysts warn that the AI industry is in a bubble phase, with high valuations and expensive infrastructure costs that may not be justified by current revenue. A market correction is possible as organizations demand proven results over continued experimentation.
