SpaceX in Talks to Borrow $40 Billion to Buy Nvidia Chips

The cost of advanced AI chips may rise significantly for companies building their own infrastructure.

SpaceX is reportedly seeking to raise $40 billion, primarily to acquire artificial intelligence chips from Nvidia. The funding, expected to close in 2027, would consist of approximately $10 billion in bank loans and $30 billion in investment-grade debt, with Apollo Global Management reportedly leading the financing efforts. This move highlights the immense capital demands of the AI boom, benefiting Nvidia as the dominant supplier of essential AI processors. SpaceX's financing plan underscores the significant debt involved, with entities like bond fund Pimco in talks to provide capital. This initiative follows SpaceX's recent $86 billion IPO and signals Elon Musk's expanding AI ambitions, including significant chip investments for xAI. The potential deal aligns with Morgan Stanley's projections of $1.5 trillion in external financing needed for AI infrastructure by 2028.

The sheer scale of SpaceX's reported $40 billion financing for Nvidia chips underscores the escalating costs associated with building foundational AI infrastructure. This massive capital raise suggests that access to cutting-edge AI hardware is becoming a primary bottleneck, potentially driving further investment and innovation in chip manufacturing and financing solutions. The involvement of major financial players like Apollo Global Management and Pimco indicates a mature market forming around AI hardware acquisition, where debt financing is becoming a standard tool for ambitious AI development projects.

This development signals a critical juncture where hardware acquisition, rather than software or talent, is becoming the most capital-intensive aspect of AI development. Companies that can secure the necessary financing for chips will have a significant advantage in deploying large-scale AI models and services. The market should watch for how these large-scale chip orders impact Nvidia's supply chain and pricing, as well as the broader implications for AI democratization if only well-capitalized entities can procure the required hardware.