Amazon.com, Inc. (NASDAQ:AMZN) is reportedly considering moving roughly $8 billion of Nvidia Grace Blackwell chips into a special-purpose vehicle financed by outside investors, then leasing the hardware back. The proposed structure would make part of Amazon’s enormous AI buildout more asset-light at a time when its capital spending is expected to reach $220 billion this year.
That creates a more important valuation question than the financing structure itself: is Amazon.com, Inc. simply optimizing how it finances profitable AI capacity, or is the scale of investment becoming large enough that protecting the balance sheet now matters more?
As Amazon commits billions to expanding its AI infrastructure, billionaire investor Stanley Druckenmiller’s positioning offers another perspective on where the biggest opportunities may lie. Our recent analysis of the 10 best AI stocks to buy according to Stanley Druckenmiller reveals which companies made the cut and how they rank among his AI investments.
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AWS Growth Is Making the Spending Easier to Defend
There is strong evidence for the first interpretation. AWS revenue increased 37% to $42.2 billion in Q2, its fastest growth in more than four years, while contract backlog reached $496 billion. CEO Andy Jassy said Amazon still lacks enough capacity to satisfy demand even after increasing planned capital spending.
Amazon is not alone in making that bet. We recently compared Amazon and Alphabet after both companies ramped up AI infrastructure spending, and one emerged with the stronger case once cloud growth, profitability and the cost of that expansion were weighed together.
The problem appears further down the cash-flow statement. Trailing-12-month free cash flow swung to negative $7.6 billion from positive $18.2 billion a year earlier as Amazon.com, Inc. accelerated infrastructure spending.
That makes the proposed chip vehicle financially interesting. Amazon could transfer expensive GPUs to outside investors without giving up their computing capacity, potentially preserving balance-sheet flexibility while continuing to monetize them through AWS. But could Amazon’s increasingly complex financing arrangements signal a bigger risk behind its AI ambitions? Our closer look at Amazon’s debt-fueled AI buildout explores another side of the company’s massive infrastructure bet.
The Valuation Assumes the Investment Cycle Pays Off
Amazon.com, Inc. trades at 23.64 times forward earnings. Consensus estimates imply an uneven earnings trajectory. However, headline EPS growth requires caution because Amazon’s second-quarter 2026 results included $53.4 billion in non-operating pretax income, primarily related to its Anthropic investment. This makes reported earnings a less reliable measure of returns from its AI infrastructure investments.
Still, Amazon’s underlying growth rates remain well ahead of its sector. Trailing revenue growth of 15.77% compares with a 4.46% sector median, while its estimated long-term EPS growth rate of 20.78% compares with 12.17%.
AI is not the only lever that could change that valuation. We assessed what just one additional point of retail margin could potentially add to Amazon’s value, and the result was large enough to materially change the valuation debate.
Tigress Financial recently raised its target to $385 from $315, arguing that Amazon is approaching an inflection where earnings from its investment cycle begin growing faster than operating capital. That is effectively the bull case the $8 billion financing proposal now tests.
The structure also introduces another question: residual chip value. Grace Blackwell will eventually be superseded by Vera Rubin, while Amazon.com, Inc. assumes semiconductor generations remain useful for at least five years. Outside investors financing those assets therefore need confidence that the chips retain economic value beyond their first technological cycle.
Institutional positioning remains strong. Hedge-fund ownership in AMZN increased from 353 to 369 funds in Q2, while Arrowstreet, Fisher, Holocene, AQR and Coatue all increased their stakes.
Amazon Needs AI Revenue to Outrun AI Capital
The proposed financing does not by itself suggest Amazon.com, Inc. cannot afford its AI ambitions. It does show how enormous those ambitions have become.
AWS growth and backlog currently provide the economic argument for spending $220 billion. The valuation test is whether revenue and eventually free cash flow accelerate quickly enough that Amazon needs fewer financing innovations, rather than increasingly more of them.
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