Tech’s AI debt boom illustrated in one chart

Big Tech used to fund its ambitions with cash. Those days are over. The AI arms race has turned the world’s most profitable companies into some of its most prolific borrowers.

In 2025, hyperscalers including Meta, Alphabet, Microsoft, Amazon, and Oracle are on track to issue approximately $121 billion in new corporate debt. That figure is more than four times the annual average from the previous five years.

The numbers behind the binge

Over $90 billion of the 2025 total is concentrated in the final months of the year.

Meta alone raised approximately $30 billion in investment-grade bonds this year. Alphabet followed with around $25 billion, while Oracle issued roughly $18 billion.

Where is all this money going? Data centers, chips, networking equipment, and the sprawling physical infrastructure required to train and deploy AI models at scale. Combined AI and cloud capital expenditures are expected to exceed $700 billion by 2026, revised upward from earlier estimates of around $600 billion.

UBS projects that new tech debt issuance could reach $900 billion in 2026 alone. Morgan Stanley and JPMorgan estimate that potential cumulative borrowing could climb to $1.5 trillion.

Credit markets are noticing

Credit-default swap spreads for issuers like Oracle have reached multi-year highs. The cost of insuring against Oracle defaulting on its debt has climbed to levels not seen in years.

New derivatives trading linked to firms like Meta has also emerged, giving investors additional tools to hedge against, or speculate on, the creditworthiness of these borrowers.

What this means for crypto investors

No specific crypto tokens are directly tethered to the Big Tech debt story. But the second-order effects are worth watching closely.

First, there’s the liquidity question. When $121 billion in new corporate bonds hits the market in a single year, that capital has to come from somewhere. Institutional investors reallocating toward investment-grade tech debt may pull from riskier asset classes, including digital assets.

Second, the AI narrative itself matters enormously for crypto. AI tokens and AI-adjacent projects have ridden the same wave of enthusiasm that’s driving these massive capital expenditures. If the traditional finance world starts questioning whether AI spending has gotten ahead of itself, a repricing in public equity AI plays could drag sentiment in crypto AI tokens down with it.

Third, if tech debt issuance reaches $900 billion next year as UBS projects, it will exert meaningful pressure on interest rates and credit conditions. Crypto has historically been sensitive to shifts in monetary conditions, and a corporate bond market groaning under the weight of hyperscaler issuance could contribute to exactly that kind of shift.