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Big Tech AI Spending Drives Debt to $350 Billion, Raising Credit Risks

Big Tech AI Spending Drives Debt to $350 Billion, Raising Credit Risks

The combined debt of major technology companies has climbed to $350 billion, driven largely by massive spending on artificial intelligence infrastructure. The figure, which includes bonds and loans from firms that have long been considered safe bets, now threatens to destabilize the investment-grade corporate bond market.

The AI spending spree

Over the past two years, the biggest names in tech have poured tens of billions into data centers, specialized chips, and energy capacity to support AI products. These investments are typically financed through debt because they offer the promise of future revenue. But the scale is new. The $350 billion total represents a sharp increase from previous years, when these companies carried far less leverage.

Most of the debt is still rated investment grade, meaning it is considered relatively low risk. But the rapid accumulation has caught the attention of bond investors and credit rating agencies. Some of the largest tech firms now carry debt loads that, while manageable at current revenue levels, could become strained if the AI boom slows or if interest rates stay higher for longer.

Credit risk concerns

Credit risk is the chance that a borrower will fail to meet its obligations. For Big Tech, that risk has historically been tiny. But the new debt pile changes the equation. If one of the major players were to see its credit rating downgraded, it could trigger a wave of selling across the investment-grade market. That's because many institutional investors are required to hold only bonds with the highest ratings.

A downgrade would force those investors to dump the bonds, potentially causing losses for other holders and raising borrowing costs for the company. The ripple effect could spread to other tech firms, as investors reassess the sector's risk profile. The $350 billion figure is not a crisis yet, but it marks a shift in how the market views these companies.

Bond market implications

The investment-grade bond market is a cornerstone of global finance. It includes pension funds, insurance companies, and mutual funds that rely on steady, safe returns. Big Tech bonds have been a favorite because of their stability. But as debt grows, the market becomes more exposed to a potential downturn in the tech sector.

If AI investments fail to generate the expected returns, companies may struggle to service their debt. That could lead to a wave of downgrades, not just for one firm but for several. The interconnected nature of the bond market means that problems at a few large issuers can quickly become systemic. The $350 billion total is large enough to matter.

Investors are now watching for signs of strain. Some companies have already signaled they will slow their AI spending, but others are doubling down. The next few quarters will show whether the debt is sustainable or whether the market needs to adjust its expectations.

Whether the debt load becomes a problem depends on how quickly AI investments generate returns. For now, the $350 billion figure underscores the scale of the bet these companies are making.