Ali Ghodsi on IPO timing
From Databricks CEO on Unifying Data & AI Agents · · Bloomberg Live
“I just think that, uh, there's, uh, if you have, like, big dislocations happening and there's big things happening, you know, election year, there's, you know, there's macroeconomic indicators that, you know, could be great, could not be great. We don't know right now, uh, you know, there is, uh, uncertainty, you know, with, uh, energy and other things going on in the world. Um, and then there's this mega IPOs. And no one's ever raised that much money that any of any one of them, the amount that they're raising in the IPO has never been raised ever by any company before. Uh, so, you know, I think it's better to wait and see.”
On , Ali Ghodsi, Cofounder and CEO at Databricks, spoke about IPO timing during Databricks CEO on Unifying Data & AI Agents on Bloomberg Live.
About Ali Ghodsi
Ali Ghodsi, cofounder and CEO of Databricks, has appeared at several events in mid-2026 discussing the company's strategy, fundraising, and views on artificial intelligence. In June, he addressed Databricks' recent $5 billion equity raise at a $134 billion valuation, stating that the company is seeing "acceleration in all of our business" and that he does not rule out raising additional private capital before a potential IPO. He described 2026 as "a terrible year" to go public due to macroeconomic uncertainty and the scale of other large IPOs, but said Databricks will eventually become a public company to provide liquidity for its approximately 14,000 current and former employees. Ghodsi emphasized that Databricks is free cash flow positive and does not need to burn capital, allowing the company to choose its own timing for an IPO. Ghodsi has repeatedly argued that artificial intelligence has reached the level of artificial general intelligence but lacks context, not intelligence. He stated, "We don't need AI to get smarter. It just is lacking context," and described the problem as "how do we feed it that context? And that context is in the data." He promoted Databricks' "Lakehouse" as a system of record for AI agents and highlighted the product "Genie," a conversational AI tool that uses an ontology graph to answer quantitative questions. At the RSA Conference in April, Ghodsi introduced the "open security lakehouse" architectural pattern, advocating for organizations to store data in open formats in their own cloud accounts to avoid vendor lock-in. He also noted that open-source and Chinese AI models are "absolutely dominating" and that the lifespan of frontier AI models has shortened to less than a quarter.