Morgan Stanley Research estimates cumulative global data center capital expenditure will reach $2.9 trillion between 2025 and 2028. This massive investment cycle is largely funded by debt rather than corporate cash reserves.
Approximately $1.3 trillion targets physical infrastructure construction, while $1.6 trillion covers IT hardware like chips and servers. Hyperscalers including Amazon, Microsoft, Google, and Meta are expected to fund $1.4 trillion through internal free cash flow.
This leaves a critical financing gap of $1.5 trillion. Morgan Stanley projects $800 billion will originate from private credit markets, with another $200 billion from corporate debt issuance and $150 billion through securitized products.
Analysts warn of systemic risks if AI monetization fails to match these capital commitments. Underperformance in AI-driven workloads could trigger financial stress across power generation, construction, and the broader lending ecosystem.
Bitcoin mining companies pivoting to high-performance computing may benefit as demand for capacity intensifies. Existing power purchase agreements and facilities position miners as valuable real estate holders in this expansion.
The $2.9 trillion capex cycle carries significant implications for US GDP growth. However, concentrating $800 billion in private credit into a single thesis creates correlation risk for pension funds and insurance portfolios banking on AI infrastructure returns.