Wall Street splits on Nvidia AI debt as circular financing fears mount
Wall Street is split on Nvidia's circular financing models, with skeptics like Steve Hanke warning of a bubble and proponents like Dario Amodei citing genuine demand. Market data shows significant volatility, with the Nasdaq down 1.44% monthly while semiconductor ETFs remain up significantly year-to-date.

*this image is generated using AI for illustrative purposes only.
Wall Street analysts are sharply divided over the financial architecture of the artificial intelligence boom, with some warning that Nvidia Corp.’s aggressive capital deployments resemble a Ponzi scheme while others defend them as a necessary alignment of supply and demand. The debate centers on "circular financing" arrangements where suppliers fund customers who then use that capital to purchase the supplier’s products, raising questions about whether current market valuations reflect genuine utility or manufactured hype. This divergence in opinion carries significant implications for investors exposed to the tech sector, particularly given the recent volatility in semiconductor and memory ETFs.
Hammerstone Markets, quoted by Michael Burry on X, characterized these circular deals as requiring constant activity in the way of new funds, continuous hype, and the stoking of FOMO. Applied Economics Professor Steve Hanke echoed this skepticism, labeling Nvidia’s reported $500 billion investment in SK Hynix Inc. ADR and $250 billion investment in OpenAI as evidence of an AI bubble. These figures highlight the scale of interwoven investments that have sparked concern among market watchers regarding the sustainability of such capital-intensive structures.
Conversely, Janus Henderson described these mega-deals as a "virtuous circle" that efficiently aligns builders, suppliers, and customers to meet unprecedented computing demand. Anthropic CEO Dario Amodei defended the interconnected deals at the New York Times Dealbook Summit on Dec. 7, stating that one player has capital and sells chips, while the other is confident they will have revenue but lacks the $50 billion at hand. Amodei argued there is nothing inappropriate about such arrangements in principle, framing them as a solution to a genuine capital bottleneck rather than a fraudulent scheme.
Strategists also pushed back against comparisons to the vendor-financed telecom crash of the late 1990s. James E. Thorne, Chief Market Strategist at Wellington Altus, noted that today’s buyers are cash-rich hyperscalers and called the assumption of a 1990s repeat "lazy research." Thorne stated that circular financing is a signal, not a verdict, emphasizing that the world remains short of compute, memory, and power. Ricky Ho, CIO and Portfolio Manager at Four Equities, added that the current AI ecosystem is not fraudulent but "financially reflexive," magnifying both market upside and downside risks.
What the Numbers Show
The divergence in analyst sentiment is reflected in the recent performance of key technology indices and exchange-traded funds. While the Nasdaq Composite Index slipped 1.44% in a month and was down 2.26% over the last five sessions, it remained up 7.27% year-to-date. The Invesco QQQ Trust, which tracks the index, was 0.89% lower in premarket trading on Tuesday.
| Metric | Performance |
|---|---|
| Nasdaq Composite (1 Month) | -1.44% |
| Nasdaq Composite (YTD) | 7.27% |
| Invesco QQQ Trust (Premarket) | -0.89% |
| iShares Semiconductor ETF (YTD) | 69.30% |
| iShares Semiconductor ETF (1 Month) | -12.49% |
| Roundhill Memory ETF (Since Listing) | 94.19% |
Sector-specific funds showed mixed results, with the iShares Semiconductor ETF up 69.30% year-to-date but down 12.49% over the month. The newly launched Roundhill Memory ETF declined by 27.06% over the last month despite being 94.19% higher since its listing in April. These fluctuations underscore the volatility inherent in the sector as investors weigh the long-term potential of AI infrastructure against short-term valuation concerns.
How might the current 'circular financing' structures impact Nvidia's revenue recognition if hyperscalers delay deployment due to slower-than-expected AI monetization?
What specific regulatory measures could be introduced to scrutinize vendor-funded customer deals, and how would such oversight affect capital allocation in the semiconductor supply chain?
If the 'financially reflexive' nature of the AI market leads to a correction, which segments of the memory and chip manufacturing industry are most vulnerable to liquidity crunches?

































