👩🍳 How we use AI at Tech in Asia, thoughtfully and responsibly.
🧔♂️ A friendly human may check it before it goes live. More news here
🧔♂️ A friendly human may check it before it goes live. More news here
Alphabet seeks at least $3.5b in bond sale
Alphabet disclosed on May 5 that it is selling euro-denominated bonds in six tranches.
The move comes months after raising nearly US$32 billion through debt sold in US dollars, sterling, and Swiss francs.
The new sale would total at least 3 billion euros, or about US$3.5 billion.
Alphabet’s February fundraising included a 100-year bond, the first such issue by a tech company since Motorola in 1997, according to LSEG data.
Big tech companies have increasingly turned to debt markets to help fund AI spending.
🔗 Source: Reuters
🧠 Food for thought
Implications, context, and why it matters.
Alphabet’s borrowing gives it financial flexibility
- This bond sale does not look like financial stress. It looks like a deliberate funding choice.
- Alphabet carries less debt than rivals. Total debt equals 0.4 times pretax earnings, versus 0.7 times at Microsoft and Meta 1.
- The money helps cover a large capital spending plan for 2026 2. Capital expenditures are outlays for long-term assets such as data centers or equipment.
- That budget equals about 23% of projected revenue. That is below the 35% share that unsettled Meta investors 1.
The AI buildout brings a new long-term risk for tech
- Alphabet’s move fits a wider shift in Silicon Valley. Large tech companies now use debt markets to fund expensive AI plans.
- Several cloud infrastructure providers have also borrowed heavily to pay for AI computing expansions 3.
- This approach creates duration mismatch risk across the sector 4. The term describes long-term borrowing used for assets that can age out much sooner.
- Companies are financing AI hardware such as graphics processing units (GPUs), chips used to train or run AI systems, with 40-year or even 100-year bonds 4. Those bonds lock in costs long after the equipment may be obsolete 4.




