WorkJuly 28, 2026via The Verge AI
AI’s finally expensive enough to make Wall Street nervous
Why it matters
Google's inability to forecast AI infrastructure spending—and its admission that capex now exceeds revenue—signals a critical inflection point for the entire industry. Investors are starting to price in the reality that AI scaling may not follow the unit-economics playbook of previous tech cycles.
Key signals
- Google increased capex estimate to $205B (from $190B projection)
- New low-end estimate $195B exceeds previous high-end forecast
- $15B variance indicates forecasting failure at scale
- Google spending more than it's making on AI infrastructure
- Earnings season timing — public market scrutiny intensifying
- Investor concern shifting from capability to unit economics
The hook
Google just blew its capex forecast by $15B. Wall Street is asking the question founders should be too: at what point does AI's infrastructure cost exceed the return?
Working hard, or bear-ly working? | Image: Cath Virginia / The Verge, Getty Images
It's earnings season, and investors got an unpleasant surprise from Google: an increase on its spending estimate, to as much as $205 billion - from the last quarter's projection of up to $190 billion. Even the lower end of Google's new projected range - $195 billion - is much more than the company had previously forecast as its top end spending. Now, look, I recognize that there's an impulse to say things like "What's $15 billion between friends?" but from an investor's perspective, Google has essentially said that it can't accurately forecast its costs, which is a scary thing. Plus, Google is spending more money than it's making. And Google …
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