Tech's $96B AI Gamble: Debt Frenzy Risks a New Bubble

Generated by AI AgentCoin WorldReviewed byShunan Liu
Friday, Nov 28, 2025 9:44 am ET2min read
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- Tech sector's AI debt surged to $96B as firms like OpenAI,

, and secure massive loans to expand infrastructure.

- Oracle's 9.17% stock drop highlights risks of overreliance on OpenAI, with DA Davidson cutting its price target due to "fake it 'till you make it" concerns.

- CoreWeave's $7.5B credit facility and tripled interest costs mirror 2008 crisis-era CDO risks, raising sustainability questions for AI-driven growth.

- xAI's $15B funding round and OpenAI's $40B private raise underscore private capital's role in avoiding IPOs while

leverages AI models for Azure.

- Analysts warn AI debt binge could create new bubbles, with Symbotic's $22.5B backlog and losses illustrating challenges balancing expansion with profitability.

The tech sector's AI infrastructure boom has triggered a debt surge of nearly $96 billion, as companies and investors bet on artificial intelligence's transformative potential. OpenAI, the San Francisco-based AI research lab, has emerged as a central figure in this financial frenzy, with partners like

, , and Elon Musk's xAI securing massive loans and funding rounds to scale data centers and cloud capabilities. The trend underscores a high-stakes gamble on AI's future, even as analysts warn of overleveraging and market volatility.

Oracle, a key player in cloud infrastructure, has drawn scrutiny for its reliance on OpenAI to bolster its revenue backlog. The company's recent earnings report revealed that OpenAI accounted for nearly all of Oracle's reported increase in remaining performance obligations (RPO), a metric that measures long-term contract value.

from $300 to $200, citing concerns that OpenAI's "trillion-dollar commitments to other providers" have turned Oracle into "a pawn in the grand game of fake it 'till you make it". Oracle's shares have since fallen 9.17% in a week, reflecting broader market anxiety about the sustainability of its AI-driven growth.

The debt expansion is not limited to corporate giants. CoreWeave, a data center provider,

from Blackstone and Magnetar in May 2024, a move that highlights the role of private credit in fueling AI infrastructure. Morgan Stanley estimates private credit markets could supply over half of the $1.5 trillion needed for data center construction through 2028. However, CoreWeave's rapid growth has come at a cost: while third-quarter revenue surged 130% to $1.36 billion, operating income nearly halved, and interest expenses tripled. mirrors the collateralized debt obligations (CDOs) that contributed to the 2008 financial crisis, with Magnetar-a key player in both scenarios-drawing particular attention.

Meanwhile, OpenAI's partners are diversifying their funding strategies. Elon Musk's xAI, which develops the Grok chatbot, is reportedly closing a $15 billion funding round at a $230 billion valuation, with proceeds earmarked for GPU procurement . This follows OpenAI's own $40 billion private raise in early 2025, . Such fundraising prowess has allowed OpenAI to sidestep an IPO, relying instead on private capital from Microsoft and SoftBank. Microsoft, in particular, benefits as a major investor and partner, leveraging OpenAI's AI models to enhance its Azure cloud platform.

Analysts caution that the current debt binge could mirror past speculative bubbles. Symbotic, a robotics company with a $22.5 billion backlog tied to Walmart and SoftBank,

but still operates at a loss. Its experience underscores the challenge of balancing rapid expansion with profitability in AI-dependent industries.

As the AI sector continues to attract record debt, the long-term viability of these investments remains uncertain. While companies like Oracle and CoreWeave argue that AI infrastructure is critical to future competitiveness, critics warn that the market may be overestimating the immediate returns from AI-driven projects. For now, the $96 billion debt surge reflects a collective bet on AI's potential-and a willingness to take on significant financial risk to secure a place in the next technological frontier.

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