The AI Debt Trap: Big Tech’s Faustian Bargain

Big Tech is increasingly reliant on debt to fund its artificial intelligence ambitions. Goldman Sachs predicts that by 2027, more than a third of the estimated $1.14 trillion in capital expenditures for AI infrastructure will be funded through debt.

The five largest hyperscalers – Meta, Microsoft, Alphabet, Amazon, and Oracle – have been pouring billions into data centers, cloud computing, and other AI-related investments. In 2025, they collectively reported $405 billion in capital expenditures, which is expected to balloon to $750 billion by 2026 and an estimated $1.2 trillion for 2027.

These companies are turning to debt markets to finance their investments as the costs of AI continue to escalate. The total global bond issuance from these companies will reach a record high of $400 billion by 2027, accounting for roughly 35% of their capital expenditures.

Alphabet’s struggle with negative free cash flow since going public in 2004 is a symptom of this trend. To make up the difference, they’re turning to debt markets more frequently. In 2025, hyperscalers issued $108 billion in investment-grade rated global bonds – roughly 26% of their capital expenditures. By 2026, that figure will reach $250 billion, or about one-third of their capital expenditures.

As Big Tech’s debt burden grows, so too does its vulnerability to economic downturns and market fluctuations. A single misstep could send shockwaves through the entire industry, leaving companies struggling to recover.

This is a Faustian bargain – one that Big Tech is willing to make in exchange for dominance in the AI landscape. Companies that prioritize short-term gains over long-term sustainability often find themselves facing costly consequences. The historical precedents are clear: when companies rely too heavily on debt, they risk ending up with unsustainable financial burdens.

As we hurtle towards 2027 and the estimated $1.2 trillion in AI-related expenditures, the risks are higher than ever. Big Tech’s gamble on AI is a high-stakes game that could pay off or come crashing down.