NTT marketed the offering at roughly $10 billion, ultimately pricing around $10.4 billion split roughly half in U.S. dollars and the other half across euros and sterling . Investor demand was strong: orders for the euro and sterling tranches alone surpassed €7 billion
, reflecting robust appetite for high-grade, AI-linked debt.
The deal structure was designed to tap deep liquidity pools across three major currencies, a strategy that maximized execution certainty and diversified NTT's investor base. The bond sale was executed through NTT's existing $10 billion Euro Medium Term Note (EMTN) Programme, established in December 2025 .
NTT has stated plainly that the bond proceeds are earmarked for AI-ready data-center expansion . The company plans to grow its data-center footprint across North America, Europe, and Asia
, positioning itself as a leading non-U.S. infrastructure provider in the AI buildout.
The June 2026 bond sale aligns with a broader capital pivot: on June 10, 2026, NTT also helped establish the "IOWN AI Fund" alongside SK Group, Chunghwa Telecom, Development Bank of Japan, and others — an investment vehicle targeting next-generation AI infrastructure .
The bond marketing coincided with a notable leadership change at NTT. On June 18, 2026, Yutaka Sasaki, formerly President and CEO of NTT DATA, became Senior Executive Vice President of NTT Inc., reinforcing the group's push to integrate its data-center and AI strategy at the parent-company level .
NTT's jumbo bond sales are not occurring in a vacuum. AI infrastructure spending is driving one of the largest corporate debt cycles in modern history .
The numbers are staggering:
NTT as a non-U.S. heavyweight: Unlike the U.S. hyperscalers, NTT is a Japanese telecom conglomerate that owns one of the world's largest data-center platforms . Its back-to-back jumbo deals demonstrate that AI-driven debt financing has spread well beyond Big Tech and that Asian corporates are becoming major participants in global investment-grade bond markets for AI capex
.
Analysts at UBS project that cumulative capital expenditures among AI hyperscalers could exceed $770 billion by 2026 , and Morgan Stanley and JPMorgan estimate the technology sector may need to issue as much as $1.5 trillion in new debt over the next several years to finance AI and data-center infrastructure
.
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