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AI Buildout Draws Bubble Warnings Even as Spending Surges

New analysis highlights heavy AI spending financed through opaque structures with uncertain near-term payoffs.

Overview

  • Tech companies are expected to pour about $364 billion into AI this year, with McKinsey estimating up to $5.2 trillion needed for data centers by 2030.
  • Financing is increasingly routed through off‑balance‑sheet vehicles that shift risk to traditional investors such as REITs, raising concerns about hidden leverage.
  • A small set of hyperscalers accounts for an outsized share of market gains and capex, with Microsoft planning roughly $80 billion this fiscal year and Meta up to $72 billion, and group outlays projected to exceed $1 trillion by 2027.
  • Top voices from tech and finance, including Jeff Bezos, Sam Altman, David Solomon and Jamie Dimon, acknowledge stretched valuations and the possibility of painful losses even as investment continues.
  • Countering bubble calls, Oaktree’s Howard Marks said valuations look expensive but not manic, arguing the AI rally has not yet reached the psychology that defines true bubbles.