Investors pushed for $15B; Databricks took $5B instead, a signal that AI infrastructure spending shows no sign of slowing.
Databricks set out to raise $1 billion. Investor demand reportedly reached $15 billion. CEO Ali Ghodsi split the difference, closing at $5 billion at a $190 billion valuation, telling TechCrunch that AI is simply expensive to build and run at scale.
The round underscores how enterprise data-and-AI platforms are commanding premium valuations even as public market scrutiny of AI spending intensifies elsewhere. Databricks joins a small group of private companies now valued near or above $190 billion.
Oversubscription this large tells operators that capital is still chasing AI infrastructure plays, not just model labs — and that valuation discipline is optional when demand outstrips supply. Leaders raising or buying AI tooling should expect vendor pricing power to follow the money.
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