Amazon issued $25 billion bond tranche, largest single issuance, explicitly for AI infrastructure capex.

Amazon announced plans to raise at least $25 billion in corporate bonds to fund its AI infrastructure expansion, signaling continued confidence in AI spending trajectory among major technology companies. The announcement reflects broader commitments from hyperscalers to accelerate capital expenditures as they compete to build out AI capabilities.

Goldman Sachs projects that four major hyperscalers—Meta Platforms, Microsoft, Amazon, and Alphabet—will collectively spend $5.3 trillion on capital expenditures through fiscal 2030, with a projected 77% year-over-year increase in spending this year. This capital is directed toward compute infrastructure, data centers, and power systems.

Amazon's $25 billion bond issuance is modest relative to overall AI infrastructure investment needs. The company reported 17% year-over-year net sales growth and a 30% increase in operating income during its first quarter, demonstrating tangible returns on AI investments. Nvidia continues to show strong demand, with 85% year-over-year revenue growth in its fiscal 2027 first quarter.

Investment opportunities extend beyond the largest hyperscalers. Micron Technology more than quadrupled its year-over-year revenue as AI-driven demand for memory chips accelerated. SanDisk similarly benefited, with its stock rising from $40 to exceeding $2,000 per share within a single year, illustrating the momentum generated by elevated hyperscaler spending on key infrastructure components.

All four major hyperscalers compete across multiple industries, including cloud computing, with Meta expressing ambitions to become a neocloud provider. Each leverages artificial intelligence to enhance core products and services, and all depend on online advertising revenue. Alphabet and Microsoft own YouTube and LinkedIn respectively, while Meta operates Facebook, Instagram, and WhatsApp.

The competitive intensity extends to emerging physical AI products. Meta launched smart glasses, and other hyperscalers anticipate releasing AI glasses in late 2026 or 2027. All four companies maintain their own large language models and continue investing in their development. This competition reflects confidence that AI will create new industries and accelerate existing ones, justifying substantial ongoing capital commitments.