Unlike the previous era of highly profitable, self-funding tech giants, the AI boom requires enormous capital for infrastructure. This has forced tech companies to seek complex financing from Wall Street through debt and SPVs, re-integrating the two industries after years of operating independently. Tech now needs finance to sustain its next wave of growth.

Large tech companies are creating SPVs—separate legal entities—to build data centers. This strategy allows them to take on significant debt for AI infrastructure projects without that debt appearing on the parent company's balance sheet. This protects their pristine credit ratings, enabling them to borrow money more cheaply for other ventures.

Instead of simple cash transactions, major AI deals are structured circularly. A chipmaker sells to a lab and effectively finances the purchase with stock warrants, betting that the deal announcement itself will inflate their market cap enough to cover the cost, creating a self-fulfilling financial loop.

The massive capital demand for AI is forcing financial innovation. New credit instruments are emerging that blend project finance, tranching, and guarantees, breaking down traditional barriers between public bonds and private credit to expand the investor base and reduce friction.

The financing for the next stage of AI development, particularly for data centers, will shift towards public and private credit markets. This includes unsecured, structured, and securitized debt, marking a crucial role for fixed income in enabling technological growth.

To compete with Nvidia, Broadcom provided a financial backstop for a $35B deal where an SPV will lease its chips to AI lab Anthropic. This move, akin to co-signing a loan, shows chipmakers are increasingly using their balance sheets to offer creative financing and absorb risk to secure major customers.

Cash-rich hyperscalers like Meta utilize Special Purpose Vehicles (SPVs) to finance data centers. This strategy keeps billions in debt off their main balance sheets, appeasing shareholders and protecting credit ratings, but creates complex and opaque financial structures.

CoreWeave pioneered financing its GPU fleet through special purpose vehicles (SPVs) that isolate assets and contracts. This de-risked structure achieved an investment-grade rating and attracted a new class of conservative investors, like insurance companies, unlocking billions in previously inaccessible capital.

Companies like Meta are partnering with firms like Blue Owl to create highly leveraged (e.g., 90% debt) special purpose vehicles (SPVs) to build AI data centers. This structure keeps billions in debt off the tech giant's balance sheet while financing an immature, high-demand asset, creating a complex and potentially fragile arrangement.