U.S. technology companies are turning more aggressively to Europe's bond market to finance AI infrastructure, with Meta Platforms considering its first euro-denominated debt sale and Google marketing a €6 billion transaction at yields above comparable deals earlier this year. The growing pipeline is adding pressure to a market that has traditionally absorbed large volumes of corporate debt at relatively tight borrowing costs.
Meta's potential offering would form part of a cross-border financing plan of at least $20 billion, according to people familiar with the discussions. The company has explored selling bonds in both dollars and euros, extending its funding options beyond the U.S. market as spending on data centers, chips, networking equipment and power capacity rises.
Citigroup and Morgan Stanley were hired to arrange calls with potential bond buyers on Monday and Tuesday, the people said. The final size, currency split and timing of any transaction could change depending on demand.
A euro bond sale would give Meta access to European institutional buyers while reducing its reliance on dollar funding. It would also place one of the largest technology borrowers directly into a European credit market already digesting heavier issuance from U.S. companies.
Meta explores maturities stretching beyond three decades
Meta has discussed a structure that could include dollar-denominated bonds maturing between five and 30 years, alongside euro bonds with maturities ranging from slightly more than four years to more than 38 years, according to the people familiar with the matter.
Such a long maturity range would allow Meta to spread refinancing obligations over decades rather than concentrating repayment risk in a narrow window. Long-dated euro debt can be attractive for insurers and pension funds seeking assets that match long-term liabilities, though buyers generally demand greater compensation when interest-rate uncertainty is elevated.
The company met European credit accounts last month during a non-deal roadshow, a standard pre-issuance exercise used to introduce borrowers and gauge appetite before a formal transaction. Meta's outreach follows efforts by Alphabet's Google and Amazon to broaden their borrowing beyond the dollar market.
Meta last entered the high-grade bond market in April with a $25 billion offering that attracted peak demand of $96 billion. That strong response showed the company could raise substantial sums without difficulty, but the current market backdrop may require more generous terms for buyers as AI-linked issuance expands.
Google's deal shows higher cost of new supply
Google's planned €6 billion bond sale has illustrated the changing balance between borrowers and lenders. The transaction has required the company to offer yields above those available on similar debt sold earlier this year, according to the supplied deal details.
The difference reflects the practical effect of crowded issuance calendars. When multiple large borrowers seek funds at once, buyers can demand a higher new-issue premium — additional yield relative to existing bonds from the same company or comparable issuers — to take on fresh supply.
Oracle encountered a similar dynamic in the U.S. dollar market, where it issued $10 billion of bonds while offering a higher premium to attract buyers. The company's financing effort came as large technology groups compete for capital to support AI-related infrastructure.
The effect is beginning to extend beyond the technology sector. Some European companies have shifted toward shorter-dated maturities, reducing their exposure to the long end of the yield curve where heavy issuance can push borrowing costs higher. Shorter bonds generally carry less sensitivity to changing interest rates, although they require issuers to refinance more frequently.
AI infrastructure spending reshapes corporate funding
Technology companies historically funded much of their expansion through operating cash flow, particularly the largest groups with highly profitable advertising, cloud and software businesses. The scale of AI infrastructure investment is changing that calculation.
Ted Pick, chief executive of Morgan Stanley, has estimated that AI-related capital spending could reach $10 trillion to $15 trillion. He has also warned that the size of the funding requirement could reduce demand for high-quality borrowers outside the AI buildout.
That estimate spans far more than bond issuance by major technology companies. It captures the wider capital needed across computing hardware, data centers, energy systems, transmission networks and associated infrastructure. Yet even a fraction funded through public credit markets would represent a significant change in supply for corporate bond buyers.
Meta's prospective debt sale sits alongside a broader financing program. The company priced $25 billion of common equity and raised $12.5 billion through preferred stock last week, according to the supplied information. It has also outlined an at-the-market equity program that could raise as much as $60 billion over time.
Using a mixture of common stock, preferred shares and bonds gives Meta flexibility, but each source of financing carries a different cost. Equity can dilute existing shareholders, preferred stock generally requires fixed payments, and bonds add contractual interest obligations. The combination suggests Meta is seeking to preserve room for large, multi-year infrastructure commitments rather than relying on a single financing channel.
Credit markets become a constraint on AI spending
The emerging issue for technology companies is less about whether they can borrow than the price at which they can do so. Meta, Google, Amazon and Oracle remain among the better-known and generally stronger borrowers in global corporate credit markets. Their ability to attract demand does not prevent lenders from asking for higher yields when supply rises sharply.
Default-protection costs on debt issued by several U.S. technology companies have climbed to record highs, according to the supplied market indicators. These instruments, commonly known as credit default swaps, are used to insure against a borrower failing to repay. Higher costs can reflect concern about larger debt loads, broader market volatility or uncertainty over the returns generated by AI investment.
The pressure has also reached equity markets, where some AI-linked stocks have recorded sharp pullbacks. Bond buyers and equity traders are evaluating the same central commercial question: whether the revenue generated from AI services will justify the enormous upfront cost of building the computing capacity behind them.
For the euro credit market, Meta's potential entry would add another test of demand. A successful long-dated, dual-currency offering could establish a funding template for other large technology groups. A deal requiring notably wider pricing would show that Europe's bond buyers are willing to finance the AI buildout, but only on terms that increasingly reflect its scale.
As AI reshapes capital markets, explore smarter automation with our AI copy trading tools tailored for dynamic funding cycles.
Disclaimer: The content on this page is provided for general informational purposes only and does not represent the views or financial advice of Toobit. We make no guarantees regarding the accuracy or completeness of this information and shall not be held liable for any errors, omissions, or outcomes resulting from its use. Investing in digital assets involves risk; users should independently evaluate their financial situation and the risks involved. For further details, please consult our Terms of Service and Risk Disclosure.
