Alphabet isn’t messing around. Google’s parent company is planning its first-ever bond sale denominated in Japanese yen — a first in its history. And it’s not even the only first this month: last week, the company issued its largest-ever euro bond and its debut Canadian dollar notes, raising nearly $17 billion combined.
Why Japan, why now?
The answer is simple and massive at the same time: AI costs money. A lot of money. Alphabet raised its capital expenditure outlook for 2026 to $190 billion — more than double what it spent in 2025. That number was itself already bumped up from an earlier estimate of $185 billion.
Mizuho, Bank of America, and Morgan Stanley are working on the yen issuance. Exact terms are expected this month, with several hundred billion yen reportedly on the table.
The AI stack advantage
What sets Alphabet apart from other tech giants is how much of the AI stack it owns. Custom chips (TPUs), cloud infrastructure (Google Cloud), frontier models (Gemini), and consumer products (Search, Android, YouTube). This vertical integration is why Alphabet stock has rallied 160% over the past twelve months.
Some analysts see Alphabet on track to overtake Nvidia as the world’s most valuable company. The logic: while Nvidia sells the shovels, Alphabet is digging for gold at the same time.
What this means for the AI industry
These numbers show how the AI race has become an infrastructure race. If you’re not investing in data centers, chips, and energy, you’re falling behind. Alphabet is now funding its expansion globally — dollars, euros, pounds, Swiss francs, Canadian dollars, and soon yen. This isn’t normal corporate finance. This is a global capital campaign.
For us as users, it means faster Gemini models, more Google Cloud capacity, and intensifying competition with Anthropic, OpenAI, and others. More infrastructure means more compute — and more compute means better models.