Databricks grew sales 80 percent. Margins shrank. The AI agents they deployed to help customers analyze data turned out to require actual computing resources. Revolutionary stuff.
Here's what happened. Companies hired Databricks to manage their data. Databricks said hey, what if we gave you AI agents to make sense of all that data. Customers said sure. The agents started running. They ran a lot. They analyzed everything. They used so much compute power that Databricks looked at their AWS bill and experienced what doctors call an acute financial event.
Revenue goes up 80 percent but margins compress because your product actually costs something to deliver. This is the kind of problem that separates companies that sell software from companies that accidentally became cloud infrastructure resellers with a chatbot bolted on top. Databricks is learning which one they are in real time.
The brilliant part is customers love it. Of course they do. They're getting subsidized AI analysis. Databricks is eating the compute cost to maintain growth. It's the same business model as MoviePass except with Spark clusters instead of Avengers tickets.
Retail traders will look at that 80 percent growth number and think they've found the next rocket ship. They'll ignore the margin compression. They'll ignore that scaling this product means scaling the cost base at the exact same rate. They'll buy calls and feel like geniuses until they realize Databricks just invented a way to grow revenue while shrinking profit per dollar. It's impressive. Like watching someone run faster and faster toward a wall.
The AI agent economy is here. Turns out it runs on electricity and someone has to pay for it.
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