TechCrunch AIArticle
Databricks wanted to raise $1B, investors wanted $15B. It settled on $5B at a $190B valuation.
The gap between what Databricks wanted and what investors were willing to shove in says more about capital scarcity at the top of the AI stack than about Databricks itself. When a data infrastructure company gets 15x oversubscribed, it means investors are chasing anything adjacent to model training pipelines, not just the labs. Expect valuations across the data and infra layer to keep climbing even as model-layer economics get scrutinized.