Tech giants have historically avoided debt like venture capitalists avoid term sheets with protective provisions. They print cash, buy back shares, and return money to investors. Borrowing? That's for old economy companies with actual capital constraints.
Not anymore. Microsoft, Amazon, Google, and others have issued over $40 billion in bonds to fund AI infrastructure. They're taking on unprecedented debt to build data centers, buy GPUs, and train models. Either they see something investors don't, or this is the biggest bet in tech history.
Let's be clear about what's unusual here. These companies have hundreds of billions in cash. They could fund AI infrastructure from operating revenue. Instead, they're choosing to borrow, breaking what analysts are calling an "unspoken contract" with investors.
Why borrow when you have cash? Two possibilities: First, they need so much capital for AI that even their massive cash hoards aren't enough. Second, they're so confident in AI's returns that borrowing at low rates is financially smarter than spending cash.
Or third—and this is the cynical take—they're locked in a prisoner's dilemma where nobody can afford to underspend on AI, even if the returns are questionable. If Microsoft spends $50 billion on AI and Google spends $30 billion, Google looks weak. So everyone keeps bidding up the infrastructure arms race.
The scale is staggering. Bridgewater estimates Big Tech will invest about $650 billion in AI in 2026 alone. That's more than the GDP of Sweden. It's enough to build dozens of cities or revolutionize global infrastructure. Instead, it's going into GPU clusters and data centers.
Financial analysts I've talked to are split. Some see this as rational investment in a transformative technology. Others see a bubble where companies are spending because everyone else is spending, not because the ROI is clear.
