He cited OpenAI missing user and revenue targets, about 3,000 US data centres operating, 1,500 more planned, and roughly $700bn in 2026 hyperscaler investment.
Ramzanali said circular equity investing, private credit and rising debt at companies including Google and Meta could spread an AI downturn beyond tech, echoing dynamics seen before the 2008 financial crisis.
His report urges ending data-centre subsidies and circular investments, increasing transparency, separating speculative AI from core infrastructure, and preparing stronger unemployment support and public jobs programmes if losses mount.
Could trillions in hidden debt for AI data centers trigger the next global financial crisis?
How will the job market transform for young workers as AI automates entry-level roles?
The Looming $800 Billion Annual Shortfall in AI Infrastructure Funding and Its Systemic Financial Risks
Overview
In 2026, major tech giants like Amazon, Alphabet, Meta, and Microsoft are investing $670 billion in AI infrastructure, part of a global $5 trillion build-out expected by 2030. However, sustaining this requires $2 trillion in annual revenue, while current AI revenues total only about $44 billion, creating an $800 billion funding gap. This mismatch, called a "math problem," is worsened by risky financial practices like circular equity investing and hidden debt through off-balance-sheet vehicles, exposing institutional investors to systemic risks. With these companies making up 30% of the S&P 500, any downturn could trigger broad market instability, highlighting urgent concerns about the AI investment boom's sustainability.