Amazon is reportedly moving $8 billion in high-end Nvidia hardware to a separate investment vehicle to manage its massive AI infrastructure costs. The move aims to improve balance sheet flexibility as the company faces annual capital expenditure exceeding $200 billion.
Amazon is working on a strategic financial maneuver to manage the surging costs of building artificial intelligence infrastructure. The tech giant is in discussions to move approximately $8 billion worth of advanced Nvidia Grace Blackwell chips into a specially created entity known as a special-purpose vehicle. This strategy is designed to help Amazon handle the heavy financial burden of purchasing expensive hardware while keeping its primary balance sheet looking leaner.
The mechanism functions like a leaseback arrangement. Under this plan, the newly formed entity would be financed through external debt raised from outside investors. Amazon would then lease the chips back from this entity to power its data centers. By transferring ownership of the hardware to this separate structure, Amazon aims to reduce the immediate capital intensity—or the amount of money tied up in fixed assets—that has concerned investors as AI spending accelerates. With the company's total projected capital spending for 2026 exceeding $200 billion, these off-balance-sheet arrangements are becoming a common tool for hyperscalers to maintain their infrastructure expansion without putting excessive pressure on their own financial statements.
While this move provides temporary relief for capital metrics, it introduces new business complexities. The primary risk lies in the long-term value of the hardware being used as collateral. AI technology evolves at a rapid pace, and there is a concern that current high-end chips could face technological obsolescence faster than expected. If newer generations of chips render these units less valuable, the debt structure within the special-purpose vehicle could face pressure. Furthermore, some market participants remain skeptical about whether the current demand for AI services will justify the massive, ongoing infrastructure spending if the expected returns do not materialize.
Investors will likely monitor how this structure impacts Amazon's long-term leverage and whether it effectively balances the need for aggressive AI investment with the desire for improved capital efficiency. The success of this move will largely depend on the company's ability to maintain its cloud computing edge while managing the risks inherent in these complex financing arrangements.