Key takeaways
- Microsoft plans first major US bond sale since 2017
- AI infrastructure borrowing exceeds $313 billion in 2026
- Strong cash flow distinguishes Microsoft from leveraged competitors
Microsoft is preparing to raise at least $25 billion through a major US bond offering, joining a historic borrowing surge as technology companies seek additional capital to finance artificial intelligence infrastructure.
The planned transaction would mark Microsoft's first US investment-grade bond sale since 2017, when it raised $17 billion. It comes as hyperscalers and data-center developers have already issued more than $313 billion in investment-grade bonds globally during 2026.
Microsoft is marketing as many as ten bond tranches with maturities ranging from two to 40 years. The offering's final size has not been determined.
The development highlights a fundamental change in AI financing: even highly profitable technology companies are increasingly turning to debt markets to support infrastructure expansion.
Microsoft's $25 Billion Deal Tests Wall Street's Appetite for AI Debt
Microsoft's proposed offering includes bonds maturing as far into the future as 2066, allowing the company to spread financing obligations across several decades.
Wells Fargo, JPMorgan Chase and UBS are managing the transaction. Proceeds are expected to support general corporate purposes, including capital expenditures.
The longest-dated bonds were initially marketed at a premium of up to 135 basis points above comparable US Treasury yields.
Microsoft's AAA credit ratings from Moody's and S&P Global distinguish it from more heavily leveraged infrastructure developers, potentially allowing it to borrow on more favorable terms.
The deal follows a broader surge in corporate borrowing.
Bloomberg estimates that hyperscalers and data-center developers have raised more than $313 billion through investment-grade bond sales this year, nearly three times the total issued during 2025.
That figure covers a defined segment of bond markets and should not be confused with the broader $466 billion in AI-related debt reported across multiple financing structures during the first nine months of 2026.
Microsoft Generates $18.6 Billion in Cash Despite AI Expansion
Unlike smaller AI infrastructure companies, Microsoft continues generating substantial cash from its existing operations.
Its October 28 earnings release showed quarterly revenue rising 19% to $92.3 billion, while operating income increased 21% to $45.9 billion.
Azure revenue surged 48% to approximately $33.2 billion as businesses continued expanding their cloud computing and AI workloads.
Microsoft also generated $18.6 billion in free cash flow during its fiscal first quarter, despite capital expenditures reaching $45.2 billion including finance leases.
Those results reinforce the demand examined in Coinpaper's recent AI spending analysis.
Borrowing does not necessarily indicate financial distress. Microsoft held approximately $64.5 billion in cash and short-term investments at September's end, giving it substantial liquidity alongside its operating income.
Instead, long-term debt could help preserve financial flexibility while the company accelerates infrastructure investment.
AI Borrowing Boom Raises Concerns About Future Returns
Microsoft's offering arrives as investors increasingly question whether extraordinary AI spending can generate sufficient long-term profits.
Alphabet recently reported negative quarterly free cash flow of approximately $9.1 billion after spending more than $51 billion on capital equipment, intensifying concern over the industry's funding requirements.
That result contributed to the recent Google stock selloff, even as its cloud division doubled revenue.
Meanwhile, the risks are greater for specialized operators dependent on borrowing against future computing revenue.
CoreWeave's borrowing difficulties previously sent its bond yields toward 15%, demonstrating how credit markets can demand substantially higher returns from companies perceived as financially vulnerable.
Higher interest rates have also heightened the broader bond market debate surrounding AI-related financing.
The concern extends to the equipment itself. Lenders have questioned whether expensive processors retain enough value to support long-duration GPU-backed financing.
