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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.
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A key red flag in the AI sector is circular financing, where a company like NVIDIA invests in a startup that then uses the funds to purchase NVIDIA's products. This creates a closed loop that can artificially inflate revenue and demand metrics, a tactic reminiscent of the dot-com bubble.
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.
A significant portion of AI industry revenue is illusory, consisting of circular payments. For instance, NVIDIA invests in a company like OpenAI, which then uses the funds to buy NVIDIA's chips. This creates the appearance of strong revenue growth while masking the industry's financial fragility.
Investor fears of "circular revenue" (e.g., NVIDIA investing in OpenAI which then buys NVIDIA chips) are often miscompared to the dot-com crash. Unlike the illegal vendor financing of the past, today's deals are cash-based. This means an AI lab's failure results in a devalued stock for the investor, not a catastrophic debt default.
Current AI investment patterns mirror the "round-tripping" seen in the late '90s tech bubble. For example, NVIDIA invests billions in a startup like OpenAI, which then uses that capital to purchase NVIDIA chips. This creates an illusion of demand and inflated valuations, masking the lack of real, external customer revenue.
To sustain massive growth, chipmaker Nvidia is providing financial guarantees and backstops for customers. This strategy, totaling over $350 billion in commitments, helps AI startups and infrastructure projects afford its pricey chips, effectively creating its own demand.
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.
Companies like NVIDIA invest billions in AI startups (e.g., OpenAI) with the understanding the money will be spent on their chips. This "round tripping" creates massive, artificial market cap growth but is incredibly fragile and reminiscent of the dot-com bubble's accounting tricks.
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.
