The AI Boom Is Being Built on Debt:What Hyperscale Bonds Are Telling Us

By Kumar pranay

Hyperscalers are using the bond market on a much larger scale to finance their AI infrastructure. This increase in borrowing is also becoming relevant for credit investors.During 2026, large bond issues from companies such as Amazon, Meta and Oracle have become increasingly common. Looking at these transactions individually can make them seem like routine financing decisions, but together they show a clear change in how AI investment is being funded.Taken together, these deals show that debt has become an important part of the AI infrastructure story. Behind the rapid development of models, data centres and computing capacity is a large amount of external financing.

 The $194 billion issued during this period is 79 percent higher than the amount these companies borrowed during the whole of 2025. JPMorgan expects the top five hyperscalers could eventually issue about $300 billion of debt a year, compared with a projected $175 billion pace in 2026. The numbers suggest that even companies with very strong cash generation are willing to use debt to keep their AI investment plans moving.

Figures span different measurement periods and are not directly comparable year-over-year.

WHY EVEN BIG TECH NEEDS TO BORROW

The main reason for this borrowing is the size and timing of AI-related investment. Data centres, advanced chips and long-term electricity arrangements require very large amounts of capital, and the spending has to be sustained over several years.

These are long-term commitments, and the required investment can rise quickly as companies expand their AI capacity. Goldman Sachs expects hyperscaler bond issuance to reach around $250 billion this year and $400 billion in 2027.

Rather than limiting the pace of investment to available cash, these companies are using debt to fund part of the expansion. The logic is fairly simple: if demand for AI services and infrastructure continues to grow, the future cash flows could justify the borrowing undertaken today.

THE DEALS THAT TELL THE REAL STORY

The individual transactions help put the overall borrowing figure into perspective. Oracle raised $18 billion through a bond sale, while Meta followed with a $30 billion offering, described as the largest non-acquisition-related high-grade bond sale on record.Alphabet and Amazon also raised $17.5 billion and $15 billion respectively within weeks of each other. Alphabet later raised more than $31 billion globally in one deal, including a 100-year bond. The long maturity is notable because it places part of the financing well into the future, reflecting the long-term nature of the infrastructure being built today.The important point is that this is not limited to one company. Several major hyperscalers are using the bond market at the same time, making debt financing a regular part of their AI investment strategy.

A handful of mega bond deals since late 2025 account for much of the surge in hyperscaler debt.

WHY CREDIT MARKETS ARE STARTING TO PUSH BACK

The rise in borrowing also creates a question for credit investors: how much additional risk are they willing to take as hyperscaler debt increases? Recent movements in the credit market provide some indication of how investors are responding.

Spreads on hyperscaler bonds have widened. For 2- to 4-year bonds, spreads increased from around 30 basis points to about 40 basis points over the year. The move is relatively small in absolute terms, but it indicates that investors are demanding more yield for taking on the credit risk.A credit spread is the extra yield investors require for holding a company's debt instead of a relatively risk-free benchmark. One basis point equals 0.01 percent, so the move from 30 to 40 basis points represents an additional 0.10 percentage point of yield.

The cover ratio gives another indication of changing demand. In February, hyperscale bond sales had cover ratios close to 5 times, meaning demand was almost five times the amount offered. By July, the ratio had fallen below 2 times. Investors are still buying these bonds, but the lower ratio suggests that demand is less aggressive than it was earlier in the year. If this continues, companies may need to offer more attractive pricing when they come to the market.

The cover ratio measures investor demand relative to the amount of bonds being issued. A ratio above 1x means the issue is oversubscribed, while a falling ratio generally indicates weaker demand.

THE DEBT NOBODY IS REALLY TALKING ABOUT

Another part of the financing picture is found in future data-centre lease commitments. At the end of 2025, the five biggest hyperscalers had close to $969 billion in total future lease commitments.

Of the $969 billion, around $662 billion relates to leases that had not yet commenced and therefore were not included on the balance sheet under the relevant accounting treatment. This amount is equal to 113 percent of the companies' reported on-balance-sheet debt.

This means reported bond debt does not show the entire set of financial commitments connected with the AI buildout. Future lease obligations also need to be considered when assessing the overall financing burden.A useful way to think about these commitments is as a future payment obligation: the expense has not fully started yet, but the company has already committed to it.

WHY THIS SHOULD MATTER TO INVESTORS, NOT JUST TECH ANALYSTS

This makes hyperscaler borrowing relevant beyond corporate treasury teams. At this scale, changes in borrowing can influence credit-market conditions and affect how investors assess technology-sector debt.Investors are also using credit default swaps to hedge some AI-related credit exposure. Greater use of this type of protection can indicate that investors want to manage the risk associated with the sector even while they continue to participate in the market.

A credit default swap, or CDS, is a contract used to protect against the risk of a company defaulting on its debt. Higher CDS activity can therefore indicate greater demand for protection against credit risk.For investors in corporate bonds and credit funds, hyperscaler debt is becoming a separate area worth monitoring. The trend can provide useful signals about both technology-sector financing and wider credit-market conditions.

WHERE THIS LEAVES US

Since the start of 2025, Alphabet, Meta, Amazon and Oracle have collectively issued more than $300 billion in bonds. The borrowing trend also extends beyond the traditional hyperscaler group. SpaceX, following its reported $86 billion IPO, sold $25 billion in bonds to support its AI ambitions after acquiring xAI.

The AI boom is usually discussed in terms of better models, faster chips and larger data centres. The financing side is less visible but equally important. Companies are taking on more debt because they expect future AI-related cash flows to justify the investment made today.

The outcome of this borrowing cycle will depend on whether future AI revenues and cash flows are strong enough to support the capital being invested today. For investors, the key indicators to watch are borrowing costs, credit spreads, bond demand and future lease commitments. These measures should give a clearer picture of whether the current pace of AI investment remains financially sustainable.