Analysts Warn of AI Bubble Amid Massive Infrastructure Debt

Financial analysts and industry leaders warn that the artificial intelligence boom is driven by high-risk financial engineering that could trigger systemic economic instability. Meta Platforms Incorporated and other tech giants such as Google and Amazon are using special-purpose vehicles (SPVs) to keep billions in data center debt off their balance sheets, including a project in Louisiana valued at nearly $30 billion.

The sector is characterized by circular financing and extreme leverage. Neocloud providers like CoreWeave have accumulated $14 billion in debt and face $34 billion in upcoming lease payments, often using AI chips as loan collateral. This instability has already pushed CoreWeave's credit default swap prices up nearly 60% in two months. Simultaneously, OpenAI plans to spend $1.4 trillion on infrastructure, with Nvidia discussing a potential $250 billion backstop deal to secure that funding.

Investment firms highlight the risk of a market glut if AI fails to generate projected short-term profits. Total infrastructure costs are estimated between $5 trillion and $10 trillion. Experts note that aggressive lending—sometimes covering 150% of construction costs—and the rise of unregulated private credit may expose pension funds and traditional banks to significant losses. The Bank of England is currently reviewing lending practices in the sector as concerns grow over irrational exuberance and potential bankruptcies.