What's happening
Technology companies financing large-scale AI infrastructure are increasingly turning to global corporate bond markets, diversifying their debt issuance well beyond traditional dollar-denominated instruments. Amazon's March 2026 eight-part euro deal raised 14.5 billion euros ($16.88 billion), setting a record as the largest single transaction ever executed in the euro corporate bond market. Alphabet's activity has been similarly consequential: after just one round of issuance, the company became the fourth-largest borrower in ICE BofA's sterling corporate bond index and the sixth-largest in Swiss francs by the end of April 2026.
The scale of this activity has pushed borrowing by non-financial U.S. firms in European markets to over 60 billion euros ($69.85 billion) this year, a figure driven substantially by Alphabet and Amazon. According to Bank of America, hyperscalers' non-dollar issuance has doubled, now representing 30% of their total bond funding. Morgan Stanley projects total hyperscaler borrowing in euro-denominated debt will reach around 50 billion euros for the full year. These transactions are occurring against the backdrop of a global corporate debt market that spans approximately $40 trillion, as companies collectively look to finance what analysts describe as trillions of dollars of investment in AI infrastructure.
Why it matters for markets
The concentration of AI-driven debt issuance is materially altering the structure of several previously distinct fixed-income markets. Alphabet's emergence as the fourth-largest borrower in ICE BofA's sterling corporate bond index after a single issuance round illustrates how rapidly hyperscalers can reshape the composition of markets that historically were dominated by financial institutions and European industrial companies. John Servidea, global co-head of investment grade finance at JPMorgan, noted that euro and other non-dollar markets 'have evolved and now offer a lot more depth and opportunity for larger capital raising than was historically the case,' and that hyperscalers 'are definitely looking at other markets more seriously than they would have previously.'
The trajectory of issuance carries implications for borrowing costs and market concentration risk. Giulio Baratta, co-head of investment-grade finance at BNP Paribas, stated: 'If you look at the pace of investment of these companies and if you fast forward 12 months, some of these companies are already going to become among the biggest issuers globally in any currency.' As hyperscaler debt supply grows within the $40 trillion corporate bond market, the degree to which these instruments are absorbed without spread widening will be a key test of market depth. David Zahn, head of European fixed income at Franklin Templeton, introduced a note of caution, observing that 'if there are any problems with [AI], it will probably create more volatility' — a signal that fixed-income investors are beginning to price AI execution risk into their assessment of this debt wave.
The doubling of non-dollar issuance to 30% of total hyperscaler bond funding also reflects a strategic diversification of liability structures, reducing dependence on U.S. dollar credit markets and broadening the investor base for AI-linked corporate paper. This shift has direct consequences for European and sterling fixed-income investors, who now hold materially larger exposures to U.S. technology credit than at any prior point.
Sectors and assets to watch
Alphabet (GOOGL), with a market capitalization of $4.61 trillion and annual revenue of $422.50 billion, is among the most active participants in this cross-currency debt issuance trend, having already established itself as a top-tier borrower in both sterling and Swiss franc corporate bond indices within a single issuance cycle. Microsoft (MSFT), carrying a market capitalization of $3.34 trillion and revenue of $318.27 billion, is a central figure in AI infrastructure investment through its Azure cloud platform and broader AI commitments, making it a company to monitor for future debt activity in this space. NVIDIA (NVDA), with a market capitalization of $5.11 trillion and revenue of $253.49 billion, sits at the supply side of AI infrastructure as the primary provider of GPUs — including H100 and Blackwell chips — that underpin the data center buildouts these bond proceeds are financing; the scale of hyperscaler capital raising is directly linked to demand for NVIDIA's accelerated computing products.
Beyond individual companies, the broader investment-grade corporate bond sector — particularly euro, sterling, and Swiss franc markets — warrants close attention as hyperscaler supply continues to grow. Financial intermediaries including BNP Paribas and JPMorgan, both named as lead arrangers in this issuance wave, are positioned as key facilitators of this capital flow. Franklin Templeton's public commentary on potential AI-related volatility in fixed income also signals that asset managers with large European credit allocations are actively reassessing concentration and execution risk within their portfolios.
What to watch next
Market participants will be monitoring whether Morgan Stanley's projection of approximately 50 billion euros in total hyperscaler euro debt issuance for 2026 is met or exceeded, and whether credit spreads in sterling, euro, and Swiss franc markets absorb continued supply without material widening. The pace at which Microsoft and NVIDIA — alongside Alphabet and Amazon — access non-dollar bond markets will be a key indicator of how broadly the AI debt issuance trend extends across the hyperscaler peer group. Any signs of AI infrastructure investment slowdowns, project delays, or deteriorating returns on AI capital expenditure could, as Franklin Templeton's David Zahn cautioned, introduce volatility into the corporate bond markets that have absorbed this supply — making AI execution metrics and quarterly capital expenditure disclosures from major technology companies critical data points for fixed-income investors in the months ahead.