Big Tech Turns to Debt Markets to Fund AI Infrastructure Boom

The world's largest technology companies are increasingly tapping debt markets to bankroll their artificial intelligence ambitions, signaling a notable departure from Silicon Valley's traditional reliance on cash reserves. Industry forecasts suggest Big Tech will collectively spend over $600 billion on AI in 2026, a dramatic jump from $410 billion the previous year, fueling growing concerns about a potential AI bubble.

Bridgewater Associates recently warned that the AI boom has entered a more volatile phase, driven by surging physical infrastructure costs and heavier dependence on borrowed capital. Several major players have already made significant moves in the bond market.

Amazon launched an 11-part bond sale targeting approximately $37 billion, attracting a staggering $126 billion in peak investor demand. This follows a $15 billion offering in November that drew $80 billion in interest. The e-commerce and cloud giant currently carries $121.8 billion in outstanding debt against $86.81 billion in cash.

Oracle has outlined plans to raise between $45 and $50 billion through a mix of debt and equity in 2026 to expand its cloud infrastructure, though the company recently faced a lawsuit from bondholders over alleged disclosure failures related to its debt strategy.

Alphabet raised $31.51 billion globally, including a rare 100-year bond worth £1 billion, while Meta filed for its largest-ever bond offering of up to $30 billion as it scales AI capabilities across its social media platforms. The Facebook parent has increased capital spending by 73% this year alone.

Salesforce priced a $25 billion debt offering to support a $50 billion share buyback program, and Verizon raised roughly $11 billion to help finance its $20 billion acquisition of Frontier Communications.

As AI investment accelerates, the reliance on debt financing reflects both the enormous capital demands of the technology and rising pressure on companies to scale quickly in an increasingly competitive landscape.