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Databricks CEO says SaaS is not lifeless, however AI will quickly make it irrelevant

Jane Doe by Jane Doe
February 9, 2026
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On Monday, Databricks announced it reached a $5.4 billion income run price, rising 65% year-over-year, of which greater than $1.4 billion was from its AI merchandise. 

Co-founder and CEO Ali Ghodsi needed to share these development numbers as a result of there’s a lot discuss how AI goes to kill SaaS enterprise, he advised TechCrunch

“Everyone’s like, ‘Oh, it’s SaaS. What’s going to occur to all these firms? What’s AI going to do with all these firms? For us, it’s simply rising the utilization,” he says.

To make certain, he additionally desires to deflect the SaaS label from Databricks, priced as it’s by the non-public markets as an AI firm. Databricks on Monday additionally formally closed on its large, beforehand introduced $5 billion elevate at a $134 billion valuation, and nabbed a $2 billion mortgage facility as properly.

However the firm is straddling each worlds. Databricks continues to be greatest often called a cloud information warehouse supplier. A knowledge warehouse is the place enterprises retailer large quantities of information to research for enterprise insights.

Ghodsi known as out, specifically, one AI product that’s driving utilization of its information warehouse: its LLM consumer interface named Genie.

Genie is an instance of how a SaaS enterprise could replace its user interface with pure language. For example, he makes use of it to ask why warehouse utilization and income spike on explicit days.

Only a few years in the past, such a request required a selected question language, or possibly a particular report would have been programmed. Right this moment, any product with an LLM interface can be utilized by anybody, Ghodsi famous. Genie is one motive for utilization development numbers, he mentioned.

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The specter of AI to SaaS isn’t, as one AI VC jokingly tweeted, that enterprises will rip out their SaaS “techniques of file” to switch them with vibe-coded homegrown variations. Techniques of file retailer essential enterprise information, be it on gross sales, buyer help, or funds.

“Why would you progress your system of file? , it’s exhausting to maneuver it,” Ghodsi mentioned.

The mannequin makers aren’t providing databases to retailer that information and develop into techniques of file anyway. As a substitute, they hope to switch the consumer interface with pure language for human use, or APIs or different plug-ins for brokers.

So the risk to SaaS companies, Ghodsi says, is that individuals not spend their careers turning into masters of a selected product: Salesforce specialists, or ServiceNow, or SAP. As soon as the interface is simply language, the merchandise develop into invisible, like plumbing.

“Hundreds of thousands of individuals world wide obtained skilled on these consumer interfaces. And in order that was the largest moat that these companies have,” Ghodsi warns.

SaaS firms that embrace the brand new LLM interface may develop, as Databricks is doing. However it additionally opens up prospects for AI-native rivals to supply alternate options that work higher with AI and brokers.

That’s why Databricks created its Lakebase database designed for brokers. He’s seeing early traction. “In its eight months that we’ve had it available in the market, it’s accomplished twice as a lot income as our information warehouse had when it was eight months previous. Okay, clearly, that’s like evaluating toddlers,” Ghodsi says. “However this can be a toddler that’s twice as massive.”

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In the meantime, now that Databricks has closed on its large funding spherical, Ghodsi tells us that the corporate just isn’t instantly engaged on one other elevate, nor prepping for an IPO.

“Now just isn’t a good time to go public,” Ghodsi mentioned. “I simply needed to be very well capitalized” ought to the markets go “south” once more as they did within the 2022 post-ZIRP crash. A thick checking account “protects us, provides us many, a few years of runway,” he added.

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Jane Doe

Jane Doe

Jane Doe is the founding editor of Spectator Daily. Before launching this platform, she worked as a Technical Writer, where her primary responsibility was translating dense engineering documentation into clear manuals for end-users. This background in structured communication taught her the importance of precision and the dangers of ambiguity.

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