Analysts Warn of AI Bubble Collapse Amid $132 Billion Debt

Groundbreaker, a financial analyst firm, warns that the artificial intelligence sector faces a potential bubble collapse driven by unsustainable debt and failing unit economics. The firm identifies a $1.5 trillion compute commencement wall, noting that take-or-pay contracts could trigger abrupt cost increases of $700 billion next year and over $800 billion in 2027.

Major hyperscalers, including Google, Amazon, Microsoft, Meta Platforms Incorporated, and Oracle, have reportedly issued approximately $132 billion in debt this year to fund the rollout of data centers. This spending occurs as the cost of building AI remains high while the market price for AI services collapses, with token prices more than halving since June.

Critics compare this financial structure to the teaser mortgage rates that preceded the 2008 global financial crisis. Some analysts further suggest that recent calls from AI leaders for existential safety regulations may be an attempt to create a regulatory moat to protect their market dominance from lower-cost competitors.