The billion-dollar infrastructure deals powering the AI boom
What Happened
Here's everything we know about the biggest AI infrastructure projects, including major spending from Meta, Oracle, Microsoft, Google, and OpenAI.
Our Take
Honestly? These billion-dollar infrastructure announcements are mostly capex theater. Meta, Google, OpenAI—they're all shouting about new spending, but deployed training compute is a fraction of the hype. The real play isn't who's announcing biggest checks; it's who's shipping actual products that move revenue (or national security). Until we see training runs actually happen on this fresh hardware, it's just spreadsheet engineering and shareholder reassurance.
The infrastructure game's being won by whoever keeps their mouth shut and trains quietly.
What To Do
Track actual GPU utilization and training job completions from SEC filings, not press releases.
Builder's Brief
What Skeptics Say
If model efficiency improvements (e.g., smaller, cheaper models) outpace raw compute demand, this capital becomes stranded. Hyperscalers are betting on demand curves that history suggests they consistently overshoot.
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