The world’s biggest technology companies are increasingly tapping bond markets to fund an unprecedented expansion of artificial intelligence and cloud infrastructure—marking a shift for Silicon Valley firms that historically relied on huge cash piles to pay for growth. “Big Tech” is expected to spend more than $600 billion on AI in 2026, up sharply from $410 billion in 2025, as companies race to build the data centers, chips, networking and software capacity needed to train and run advanced AI systems.
This funding wave reflects the scale and speed of the investment cycle. AI infrastructure is capital-intensive: hyperscale data centers require land, construction, power connections, specialized cooling, and massive volumes of high-end GPUs and networking gear. Even firms with strong operating cash flow are choosing to diversify funding sources—using debt to preserve flexibility while they spend aggressively on long-lived assets. The trend is a notable change for companies that, for years, could self-fund most large projects.
A key example is Amazon, targeting roughly $37 billion through a large multi-part bond sale to support AI-related infrastructure investment. Investor appetite has been intense: peak demand hit around $126 billion, suggesting the offering was heavily oversubscribed—an indicator that bond buyers still view top tech credits as relatively safe even amid macro uncertainty. The issuance spans both dollars and euros, showing how global credit markets are being used to finance U.S. tech’s expansion.
Alphabet has raised substantial debt as it scales its AI and cloud footprint, including a notable 100-year bond, a rare maturity that signals confidence in long-term investor demand for its credit. Oracle, meanwhile, has laid out plans to raise tens of billions through a mix of debt and equity to support data-center growth linked to AI workloads. The shared pattern is clear: companies are attempting to lock in financing while demand for AI compute remains strong and before constraints—especially power availability, construction capacity, and GPU supply—become even tighter.
The surge in borrowing is also happening alongside rising debate over whether AI spending is overheating. There are also “mounting fears of an AI bubble,” reflecting investor concerns that companies may be overbuilding capacity or that AI revenue growth may not keep pace with capital expenditures. But for now, bond markets appear willing to fund the buildout—because many of these issuers have strong balance sheets, global scale, and business models that can generate resilient cash flows.
Overall, the story is about a strategic pivot: AI is becoming infrastructure, and infrastructure at this scale often gets financed like infrastructure—through long-dated debt. Tech giants are effectively betting that the winners of the AI era will be the ones who secure compute first, even if that means embracing more leverage than they traditionally carried
