AI eroding the software moat 2/9/26
TechCheck
CNBC
4.5 • 66 Ratings
🗓️ 9 February 2026
⏱️ 9 minutes
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| 0:00.0 | Data Bricks just announcing a new $5 billion funding round at a $134 billion valuation, making it now the fifth largest private company in the U.S. |
| 0:13.0 | Our Durdibosa has more on the numbers in today's tech check. |
| 0:15.0 | Morning, Dee. |
| 0:16.0 | Hey, good morning, Carl. |
| 0:17.0 | So, Data Bricks, if you're not familiar, it's the plumbing behind the AI economy. |
| 0:20.0 | It takes the messy data inside the world's biggest companies and makes it usable for AI. |
| 0:25.8 | It's financials. They underpin the latest round that they shared with us. |
| 0:29.0 | $5.4 billion in revenue run weight. That is 65% growth year over year. |
| 0:34.4 | It's also showing us what the AI economy looks like under the hood. Now, even more |
| 0:38.5 | interesting than those funding numbers, this number really jumped out to me. 80% of databases on |
| 0:44.5 | their platform are now being built by AI agents, not people. These are not tech companies either, |
| 0:49.6 | not just tech companies, their MasterCard, AT&T, Mercedes. It means that more software is being created |
| 0:55.1 | inside the world's biggest companies than ever before, and AI is doing the building. |
| 1:00.9 | Now, this has two major implications for the AI trade at large. One, this is fuel for the software |
| 1:05.8 | bears, the IGV software ETF. It's down more than 20% so far this year. Monday.com. Down 22% today alone, |
| 1:13.8 | as its full year outlook disappointed. And Workday CEO just stepped down after its stock lost |
| 1:18.3 | nearly half its value over the past year. Now, Databricks numbers, they pour gas on that fire. |
| 1:23.8 | If companies can use AI to build more software internally, the moat around traditional SaaS vendors starts to shrink. |
| 1:31.1 | Now, it doesn't mean that workday is going away, but the tools are getting better and cheaper, faster, and non-tech companies are using them. |
| 1:39.8 | Second, this is a big data point for the AI infrastructure bulls. |
| 1:42.8 | If agents are building this much software, |
| 1:44.9 | the demand for compute, for chips for the infrastructure underneath, that is all real, even if the |
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