Summary
- Databricks CEO Ali Ghodsi told Forbes that AGI has already arrived, arguing that what's missing is enterprise context data
- On the same day, the company announced it had closed a new $5 billion funding round at a $190 billion valuation
- The company said the new capital will go toward three products: Genie, Lakebase, and Unity AI Gateway
One remark on stage made the news
Two cards landed on the same day. One was a remark from Databricks CEO Ali Ghodsi; the other was news that the company had closed its funding round. In an interview with Forbes reporter Victor Dey, Ghodsi said "AGI is already here," according to a quote shared by Databricks' official account. But the AGI he described isn't the superintelligence people typically imagine. His argument runs almost the opposite way — model reasoning capability is already sufficient, but the fortune that capability could unlock is buried inside enterprise context data, and today's models can't access that context.
Where the money is going
At the same moment the remark was made, the company announced it had closed a new $5 billion strategic funding round. The round values the company at $190 billion. Databricks said the funds will be directed toward three products: Genie, Lakebase, and Unity AI Gateway. The three products differ in nature — a natural-language query tool, a database service, and a gateway for managing AI model traffic, respectively — but they share a common thread: all are infrastructure designed to help models access enterprise internal data and handle it safely. Ghodsi's argument and the destination of the funds align precisely.
| Item | Figure |
|---|---|
| New funding raised | $5 billion |
| Valuation | $190 billion |
| Q2 annualized revenue | Over $7 billion |
| Year-over-year growth | Over 80% |
| Lakehouse annualized revenue | Over $1.5 billion |
| Lakebase annualized revenue | Over $100 million |
The background behind the "lack of context" diagnosis
Databricks separately announced on August 13 that its Q2 revenue had surpassed $7 billion on an annualized basis, growing more than 80% year over year. Its data-warehouse-style service, Lakehouse, topped $1.5 billion annualized, while its newer service, Lakebase, surpassed $100 million. This suggests the company's growth axis is shifting beyond simple storage and processing toward connecting AI models with enterprise data. Earlier, on August 4, the company officially launched Unity AI Gateway, a product built around six functions — including agent registry, access control, budget policy, and smart routing — that governs what context models can access and how much. In effect, the products that fill in the "context models lack," as Ghodsi put it, already account for a substantial share of the company's revenue.
So what does this change
Placing the remark and the funding round side by side clarifies Databricks' business logic. Rather than competing head-on over model performance, the company is positioning itself as infrastructure that connects enterprises' existing internal data — data models currently can't reach. It signals that in a landscape where cloud infrastructure investment has concentrated around large model developers, substantial capital is also flowing to companies like Databricks that sell the space "between models and enterprise data." That said, some may view Ghodsi's AGI remark as closer to marketing rhetoric, and whether this funding round translates into actual growth in product usage will likely become clearer in next quarter's earnings.
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