Big technology companies are turning to debt markets to sell their bonds to pay for the most expensive artificial intelligence (AI) projects they have initiated in the race to achieve AI supremacy.
From cloud giants to chip-developing platforms, firms that once prided themselves on cash-rich balance sheets are now raising tens of billions of dollars in debt to finance data centers and build specialized AI chips.
A Wave of AI-Linked Borrowing
Over the past year, companies including Microsoft, Alphabet, Amazon, and Oracle have made capital spending plans that run into the hundreds of billions of dollars, much of it directed toward AI infrastructure. Industry analysts have estimated that combined capital expenditure tied to AI and cloud for 2026 could reach around $630-650 billion, representing a sharp jump from the already high levels of spending in 2024 and 2025.
Now in 2026, debt markets are becoming a central source of that cash for these companies. Rather than funding everything from existing cash reserves, many of these tech companies are selling large bond deals to lock-in their financing for multi‑year buildouts of data centers and AI networks.
Alphabet’s Record Bond Sale
Alphabet has become one of the clearest examples of this trend. In February 2026, the Google parent company raised a bond offering of roughly $20 billion to fund its $185 AI infrastructure buildout. Company statements and coverage of the sale note that the proceeds are earmarked for data centers, GPUs and advanced networking equipment that support Alphabet’s AI services.
This sale saw a strong demand from investors, as they were very eager to buy the company’s long-term AI-related bonds higher than the amount offered. By relying on bonds instead of new equity, Alphabet can raise large sums without diluting existing shareholders while still moving quickly on multi‑billion‑dollar projects.
Alphabet is not alone in this huge spending on AI. Microsoft has said it plans to spend about $150 billion on its development and acceleration of its AI products in 2026, which is almost double of the company’s spending in 2025. Amazon is also expecting to spend roughly $200 billion in capital expenditure in 2026 after spending about $130 in 2025, with the need to speed up the development across AI chips, robotics and any other related infrastructure.
Additionally, there is Oracle and its balance sheet that illustrates how legacy enterprise players are also turning to debt to stay in the AI race. Coverage of corporate filings and market analysis shows Oracle holding close to $96 billion in total debt after raising about $18 billion via a bond offering and securing an additional $38 billion loan in late 2025.
Much of that financing is directed toward expanding its cloud and AI‑capable data center footprint, which allows the company to further compete for training and inference workloads in the industry.
Why Debt, and Why Now?
Several forces are pushing Big Tech toward bond markets. First, the AI boom is hardware‑heavy, meaning modern AI models require vast compute clusters, energy‑hungry data centers and custom chips, all of which demand upfront spending measured in tens of billions of dollars per company. Second, while many of these firms remain highly profitable, the speed and scale of the AI infrastructure buildout exceed and outpaces their cash flow.
For investors and regulators, the rise in AI‑funded debt is a sign of the structural change in how the largest tech companies now operate. The industry has noted that the group of companies once known for high‑margin software and services is now evolving into a set of companies that also run some of the world’s most capital‑intensive AI infrastructure on debt.
It is why the success or failure of this over $600 billion infrastructure push from these companies will shape both equity and credit markets for years.
