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Hardware suppliers like Nvidia and Broadcom use residual value guarantees, special purpose vehicles (SPVs), and circular financing to enable customers to borrow and purchase their chips. This closely mirrors the dot-com era where Nortel and Lucent financed customer purchases through bond markets. When end-customer revenues fall short, both the buyers and the backstopping suppliers are hit simultaneously, threatening systemic balance across the industry.
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Major tech companies are investing in their own customers, creating a self-reinforcing loop of capital that inflates demand and valuations. This dangerous practice mirrors the vendor financing tactics of the dot-com era (e.g., Nortel), which led to a systemic collapse when external capital eventually dried up.
Debt deals in the AI sector rely on 'residual value support,' using chips and servers as loan collateral while suppliers guarantee their value. However, chips depreciate rapidly, making their true collateral value uncertain. If customers default and equipment floods the market, suppliers assuming they can effortlessly repurpose or resell servers may find the collateral cannot sustain the debt amounts.
A year ago, stable giants like Microsoft and Amazon absorbed the risk of the AI compute build-out. Now, they've stepped back, and smaller players like Oracle and CoreWeave, along with chipmakers financing their own sales, have taken on that risk. This shift to less stable, more circular financing models reveals the bubble's underlying fragility.
NVIDIA is externalizing balance sheet risk by having asset managers (using pension funds) finance GPUs. This structure is dangerous because the debt amortizes over 10+ years, while the chips depreciate in 3-5 years. This mismatch means "the liability outlives the asset," creating a potential bubble.
By funding its own customers, Nvidia is walking a fine line between enabling demand and artificially creating it. Critics warn this mirrors the 'circular financing' that led to the dot-com collapse, where firms like Cisco loaned money to customers to buy their equipment, creating a house of cards.
A new risk is entering the AI capital stack: leverage. Entities are being created with high-debt financing (80% debt, 20% equity), creating 'leverage upon leverage.' This structure, combined with circular investments between major players, echoes the telecom bust of the late 90s and requires close monitoring.
Investor James Anderson confirms that NVIDIA investing in its own customers creates a circular flow of capital reminiscent of Lucent's practices during the dot-com bubble. This signals a risk of excessive short-term investment that may lead to a future market downdraft.
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.
The current trend of AI infrastructure providers investing in their largest customers, who then use that capital to buy their products, mirrors the risky vendor financing seen in the dot-com bubble. This creates circular capital flows and potential systemic risk.
NVIDIA is financing its customers to buy its own chips, a move that could be seen as artificially inflating demand. While common in CapEx-heavy industries, the unprecedented scale raises questions about whether NVIDIA is propping up a bubble by acting as both supplier and financier.
