In August, Ghodsi told the Wall Street Journal that he believed Databricks, which is reportedly negotiating to raise funding at a $134 billion valuation, had "a shot to be a trillion-dollar company. " At Fortune’s Brainstorm AI conference in San Francisco on Tuesday, he detailed how this could occur, outlining a “trifecta” of growth areas set to fuel the company’s next phase of expansion. The first area is entering the transactional database market, traditionally dominated by large enterprise firms like Oracle, which Ghodsi said has stayed largely “the same for 40 years. ” Earlier this year, Databricks introduced Lakebase, a link-based operational database optimized for AI Agents, aiming to capture a portion of this market. Databricks is also experiencing growth spurred by the rise of AI-powered coding. “Over 80% of the databases being launched on Databricks are not initiated by humans, but by AI agents, ” Ghodsi noted. Developers leveraging AI tools for “vibe coding”—rapid software creation via natural language commands—automatically require databases, and according to Ghodsi, they consistently default to Databricks’ platform. “That’s a massive growth driver for us. I believe if we focus just on that, we could potentially reach a trillion-dollar valuation, ” he said. The second growth driver is Agent Bricks, Databricks’ platform designed for building AI agents that interact with proprietary enterprise data. “It’s common now to have AI with general knowledge, ” Ghodsi explained, “but it’s quite rare to have AI that truly understands and works with the proprietary data inside enterprises. ” He cited the Royal Bank of Canada, which developed AI agents for equity research analysts as an example. These agents could automatically collect earnings calls and company data to compile research reports, cutting “many days’ worth of work down to minutes. ” Finally, the third element in Ghodsi’s strategy involves creating applications on top of this infrastructure, where developers use AI tools to quickly build apps that run on Lakebase and are enhanced by AI agents. “To achieve the trifecta, you also need apps on top of this. Now you have vibe-coded apps integrated with the Lakebase database and agents, ” Ghodsi said.

“These represent three new growth vectors for us. ” Ghodsi did not specify a timeline for reaching the trillion-dollar goal. Currently, only a select few companies have crossed this milestone, all publicly traded. In tech, only giants such as Apple, Microsoft, Nvidia, Alphabet, Amazon, and Meta have reached the trillion-dollar valuation. Achieving this would mean Databricks, widely anticipated to go public in early 2026, would need to increase its valuation roughly sevenfold from its reported current level. Ghodsi indicated that the expected IPO would be part of this growth journey. “There are significant advantages and drawbacks to going public. That’s why we’re not overly attached to any timeline, ” Ghodsi said when asked about an IPO. “We will go public eventually, but it’s not something that’s a huge deal to us. ” Could the company IPO as soon as next year?Possibly, Ghodsi replied.