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Amazon plans $42b bond sale to fund AI
Amazon is marketing a cross-Atlantic bond offering aimed at raising the equivalent of about US$37 billion to US$42 billion in dollars and euros to help fund its AI-related investments, people with knowledge said.
The company seeks US$25 billion to US$30 billion in US-dollar high-grade notes across as many as 11 tranches spanning two to 50 years, people with knowledge said.
It also plans a debut euro sale of up to €10 billion (US$11.6 billion) in as many as eight tranches maturing in two to 38 years.
Initial price talk for the longest dollar tranche due 2076 implied a yield about 1.55 percentage points above Treasuries, people with knowledge said.
Goldman Sachs, JPMorgan Chase, Citigroup, and HSBC are among the banks managing the deals.
🔗 Source: Bloomberg
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Implications, context, and why it matters.
Wall Street’s split verdict on Amazon’s $200 billion AI bet
- Amazon plans about $200 billion in capital expenditures (money spent on long-term assets like data centers and servers) for 2026, which helped drive an 11% after-hours stock drop after the guidance talk 1.
- Stock investors worry the AI infrastructure spend may not pay off, since it may push free cash flow (cash left after operating costs and capital spending) into negative territory 2.
- Bond buyers moved the other way, placing about $126 billion of orders for the US-dollar portion of Amazon’s debt sale 3.
- Amazon raised $37 billion from a US-dollar bond sale and said a euro sale could lift the total to nearly $50 billion, according to Bloomberg 3.
The AI arms race creates a hidden tax on profits
- The AI build-out also brings accelerated depreciation (recognizing equipment wear-and-tear faster for accounting purposes), which cuts reported profits 4.
- Amazon shortened the estimated useful life for some servers and networking equipment to five years from six, effective Jan. 1, 2025 4.
- Amazon expects operating income to fall about $1.3 billion in 2025, about $0.7 billion from the shorter life estimate plus about $0.6 billion from depreciation tied to early retirements 4.
- Costly hardware can age faster than expected, which can weigh on earnings over time beyond the upfront spending totals 4.




