U.S. technology giants are emerging as prominent borrowers in the euro zone bond market as they seek funds to support expansive investments in artificial intelligence, a European Central Bank blog post said. The move has the potential to displace other borrowers, tighten financing conditions more broadly and increase credit risk, the blog warned.
The post highlights that hyperscalers including Google, Amazon and Microsoft may undertake AI-related investments that credit analysts estimate could total as much as $1 trillion by 2028. To help finance that activity, these companies are tapping debt markets globally.
In the euro zone specifically, the group of large U.S. tech firms currently has roughly 0e40 billion ($46 billion) of bonds outstanding. Although that sum represents a relatively small portion of the overall market, these firms account for nearly 10% of gross new issuance in the region, according to the blog. Amazon and Alphabet have been the largest corporate issuers in the euro zone bond market so far this year.
The blog cautioned that the accumulation of debt by big tech could put upward pressure on borrowing costs across all sectors. "U.S. big tech companies could push up borrowing costs for all sectors as they accumulate debt and account for a growing share of bond markets, with a potential spillover to the sovereign and supranational segment of the bond market," the authors wrote, adding that the note does not necessarily reflect the official views of the ECB.
Two related dynamics could amplify the effect. First, the volume of new debt issued by these companies could test investor demand; expectations of further supply may strengthen that impact and lift borrowing costs marketwide. Second, passive investors that replicate bond benchmarks will automatically increase sector holdings as big tech issuance grows, which can put additional pressure on competing bonds and affect spreads.
The blog also questioned whether current credit ratings for big tech debt may be overly optimistic. "The way rating agencies approach this sector may be based on assumptions on future revenue growth and leverage which may not stand the test of time, heightening the vulnerability to mispricing of credit risk," the post said.
The currency conversion noted in the blog put $1 at 0.8636 euros. The authors suggested that limits on investor absorption capacity could make the market impact particularly pronounced.
Implications
The blog links large-scale AI investment plans, increased euro-denominated issuance and potential market effects, warning that these trends merit monitoring given their capacity to influence borrowing costs and credit assessments across corporate and sovereign borrowers.