The artificial intelligence boom is entering a new financial phase as some of the world’s biggest technology companies back billions of dollars in financing for data centres and AI chips, exposing them to commitments that could reshape the financial risks behind the industry’s rapid expansion.
A Financial Times analysis found that major technology companies have provided as much as $300 billion in residual-value guarantees over the past year to support financing tied to AI infrastructure. The arrangements are designed to help companies raise capital for expensive data centres and specialised chips while shifting much of the borrowing to separate financing structures.
The scale of those commitments highlights how quickly the AI investment cycle has moved beyond software and computing services into a massive infrastructure buildout. Companies are racing to secure the electricity, data centres, processors and other equipment needed to support increasingly powerful AI systems, creating an enormous demand for capital.
Residual-value guarantees can make that financing easier to obtain. Under such agreements, a technology company effectively supports the future value of an asset, giving lenders additional protection if the equipment or infrastructure is later worth less than expected. The structure can lower financing costs, but it can also leave the guarantor exposed if asset values fall sharply.
Among the companies involved are Nvidia, Broadcom and Meta, according to the Financial Times analysis. Nvidia has backed financing connected to major AI infrastructure projects, while Broadcom and Meta have also used guarantee structures linked to AI chips and data-centre development.
The growing use of these arrangements comes as companies continue to pour unprecedented amounts of money into AI infrastructure. The financial commitments can help accelerate construction and equipment purchases, but they also make it more difficult to judge the full scale of corporate exposure simply by looking at traditional debt figures.
Investors are already paying closer attention to the amount of borrowing associated with the AI buildout. Reuters reported that debt issuance by major hyperscalers could reach hundreds of billions of dollars as technology companies continue funding data centres and other AI infrastructure. The growing supply of AI-related debt has also prompted investors to scrutinise borrowing costs and the financial strength of companies involved in the sector.
The issue is not that every guarantee will result in a loss. If AI demand continues to expand and the underlying infrastructure retains its value, many of these financing structures could perform as intended. The potential concern is what happens if demand grows more slowly, technology changes rapidly, or specialised equipment loses value faster than expected.
That makes the financing behind the AI boom an increasingly important story for financial markets. The companies driving the AI revolution are no longer simply investing in new technology; they are also becoming increasingly involved in the financial structures that make the infrastructure possible.
The $300 billion figure therefore represents more than a headline number. It offers a glimpse into the enormous financial machinery developing underneath the AI boom and why investors are beginning to look beyond the technology companies’ headline spending figures to understand the risks and commitments supporting the next generation of artificial intelligence.
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