Big Tech's AI spending is bigger than you think
To paraphrase Justin Timberlake in his iconic turn in the 2010 film "The Social Network," a trillion dollars isn't cool. You know what is? $3 trillion. The big picture: That's roughly how much money seven Big Tech companies, including Google, Microsoft and Nvidia, have committed to spending on AI-related infrastructure in off-balance-sheet commitments, according to a new analysis from Morgan…
A staggering $3 trillion is set to be spent by seven leading Big Tech companies on AI-related infrastructure, as revealed by Morgan Stanley. This figure represents not only their off-balance-sheet commitments but also $770 billion in debt and lease obligations. Off-balance-sheet commitments are financial obligations not shown in official company records, such as lease agreements for future data center usage.
Morgan Stanley analyzed filings from key players like Google, Microsoft, Nvidia, Amazon, Meta, Oracle, Broadcom, and broke down their commitments. The hyperscalers have pledged $1.1 trillion for data center leases and $1.7 trillion for other purchases like chips and networking gear. These commitments have surged in recent years, with Google's purchase commitments alone reaching $707 billion in the latest quarter.
The $3 trillion in commitments essentially represents future revenue for memory chipmakers and highlights the potential for increased lending based on these guarantees. Suppliers and data center developers can leverage these commitments to borrow more, creating an intricate web of financing that is difficult to track. While these commitments offer Big Tech companies a boost in creditworthiness, the extent and timing of their spending remain unclear, posing questions for investors about the potential return on investment.
Written by urgent.news from Axios's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
