For years, Silicon Valley's biggest companies paid for their expansion with the mountains of cash their businesses generated. But the artificial-intelligence boom is changing that. From Alphabet and Amazon to Nvidia and Meta, debt and equity raises are starting to replace the industry's usual cash-funded growth.
The shift is a direct response to the staggering cost of building AI infrastructure. "Compute" — the data centers, specialized chips, and power needed to train and run AI models — is so expensive that even the world's most profitable companies are choosing to spread the cost over decades rather than pay upfront.
What's driving the borrowing?
Alphabet, Amazon, Microsoft, and Meta have all signaled that AI-related spending will stay elevated for the foreseeable future. Estimates for the group's combined capital outlay this year now top $730 billion. That's a massive sum, and it's forcing companies to look beyond their own cash reserves.
Bridgewater Associates, the world's largest hedge fund, has argued that the AI boom gets riskier once the industry's spending on physical infrastructure starts leaning on outside funding, not just cash flow. In other words, when companies start borrowing to build, the financial stakes rise.
That's already showing up in deal plans. Nvidia, the AI chipmaker, has outlined a roughly $25 billion bond sale — its first major debt move since 2021. Amazon, the e-commerce and cloud giant, has been lining up multiple bond offerings across currencies. And Alphabet has explored another large U.S. deal after lifting its spending outlook.
These moves are notable because they mark a departure from the past. Tech giants have traditionally preferred to fund capital expenditures with operating cash flow, keeping debt levels low. But the scale of the AI buildout is forcing a rethink.
What it means for bond markets
The borrowing spree is having a visible effect on the investment-grade bond market. Alphabet has issued a 100-year bond, and Nvidia's notes extend out to 2056. These ultra-long maturities add "duration" — a measure of how sensitive a bond's price is to changes in interest rates — to the market.
When long-dated bonds are issued, investors typically demand a bit of extra yield to compensate for the risk that interest rates will move before the bond matures. If more tech issuers crowd into the same part of the bond market, that extra yield can creep into pricing for other long-maturity corporate debt as well. Day-to-day moves in those bonds can also look choppier than in shorter-dated tech borrowing.
For everyday investors, this matters in a few ways. If you hold bond funds or ETFs, you might see more volatility in long-duration funds. And if you're a stock investor, the shift means Big Tech balance sheets will start to look more like traditional capital-intensive industries — think utilities or telecoms — with higher debt loads and interest expenses.
What to watch next
The key question is whether the AI buildout will generate enough returns to justify the borrowing. Companies are betting that AI will eventually drive revenue growth that outpaces the cost of capital. If that bet pays off, the debt will be manageable. If not, the industry could face a reckoning.
Investors will be watching several things in the coming months: how much more debt these companies plan to issue, whether their AI revenue growth accelerates, and how the Federal Reserve's interest-rate policy affects borrowing costs. A related development is the nuclear power deal between Alphabet and Constellation, which highlights the energy demands of AI data centers.
Also worth noting: SpaceX is reportedly seeking $40 billion to lock in Nvidia AI chips, a sign that the demand for compute is spreading beyond the usual tech giants. And Microsoft and Nvidia continue to benefit from AI computing demand, which could keep the trade window open.
For now, the message is clear: Big Tech is no longer content to pay for its future with cash alone. It's borrowing — and that changes the risk profile for investors across both stocks and bonds.
