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Big Tech turns to global debt markets to fuel relentless AI expansion

With capital expenditures for hyperscalers projected to hit $725 billion this year, tech giants like Amazon and Alphabet are moving beyond U.S. dollar bonds to tap international liquidity. The sheer volume of AI-related debt is forcing bankers to innovate, creating new asset classes backed by future data center leases.

Big Tech turns to global debt markets to fuel relentless AI expansion

The relentless demand for cloud infrastructure and specialized chips has pushed AI-related debt toward 15% of all investment-grade bond issuance. To prevent market saturation at home, firms are diversifying into euros, sterling, and yen. Amazon recently secured €14.5 billion in an eight-part deal, while Alphabet has set records across Canadian and Swiss markets. These moves are not merely strategic shifts; they are reactions to spending that is currently outpacing operating cash flow, forcing a heavy reliance on external funding.

Beyond traditional bond sales, a new model is emerging: lease-backed financing. Bankers are structuring deals around pre-arranged data center agreements, providing investors with clearer visibility into future revenue. One recent example, an $810 million note for Stingray Compute, was nine times oversubscribed. This method, which mirrors construction lending, has seen roughly 15 transactions completed since last year.

While some investors worry that the sheer volume—potentially pushing investment-grade issuance above $2 trillion by 2026—could strain market capacity, appetite remains robust. Analysts note that AI concentration remains relatively low within broader credit indexes. However, as companies begin to pair massive debt offerings with new stock sales, the market is beginning to scrutinize exactly how much capital these long-term AI projects will require before they yield significant returns.

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