MongoDB has been riding the wave of artificial intelligence enthusiasm, but a new note from UBS suggests the company still has a lot to prove when it comes to turning that buzz into actual revenue.
In a note emailed Thursday, UBS said customer feedback indicates that AI-driven revenue at MongoDB remains small, even as demand for its core products—Atlas and Enterprise Advanced—stays solid. The bank said MongoDB needs to show a “material AI uplift” before investors are likely to value it like an AI winner.
The note echoes what MongoDB has said publicly: only a small share of its revenue is currently being driven by artificial intelligence. That's a key point for investors who have piled into AI-related stocks over the past year, often pushing valuations to levels that assume rapid adoption of the technology.
What is MongoDB, and why does AI matter?
MongoDB is a database software company. Its flagship product, Atlas, is a cloud-based database service that lets developers store and manage data without having to run their own servers. Enterprise Advanced is its on-premises offering for large organizations.
Databases are the backbone of most software applications, and they're especially important for AI workloads, which require vast amounts of data to train and run models. That's why investors have been watching MongoDB closely: if AI adoption accelerates, demand for databases that can handle AI workloads should rise.
But so far, that acceleration hasn't shown up in MongoDB's revenue mix. UBS's customer checks—where analysts talk directly to companies that buy MongoDB's products—suggest that AI-related spending is still a small slice of the pie.
This isn't unique to MongoDB. Many software companies have reported that AI is driving interest and pilot projects, but actual revenue from AI is still modest. The gap between hype and reality is a recurring theme in the tech sector, and it's something investors should keep in mind when evaluating AI-exposed stocks.
What does this mean for investors?
For everyday investors, the UBS note is a reminder that not all AI stories are created equal. While some companies are seeing clear revenue boosts from AI—like Micron's guidance for strong AI-driven memory demand—others are still in the early stages.
MongoDB's stock has been volatile, partly because of AI sentiment. Earlier this year, shares plunged on the CEO's exit, and the stock has also been a favorite among retail traders on WallStreetBets, leading to sharp premarket moves.
The key question for MongoDB is whether AI workloads will eventually translate into meaningful revenue growth. UBS's checks suggest that customers are still in the early stages of deploying AI, but the demand for Atlas and Enterprise Advanced remains solid, which is a positive sign.
Investors should watch MongoDB's earnings reports for any signs of an AI-driven acceleration. If the company can show that AI workloads are starting to contribute materially to revenue, it could justify a higher valuation. If not, the stock may continue to trade on hype rather than fundamentals.
The broader AI landscape
MongoDB is just one piece of the AI puzzle. Across the tech sector, companies are trying to figure out how to monetize AI. Some, like OpenAI's revenue growth, are seeing strong adoption. Others, like Samsung's foundry business, are betting on future demand.
For database companies, the opportunity is real but may take time to materialize. AI models need data, and that data needs to be stored and managed. MongoDB's flexible document model is well-suited for the unstructured data that AI often uses, which is why the company is seen as a potential beneficiary.
But as UBS points out, potential isn't the same as revenue. Until AI workloads show up in the numbers, investors may be cautious about valuing MongoDB like a pure AI play.
What to watch next
MongoDB's next earnings report will be closely watched for any update on AI-driven revenue. The company has been investing in AI-related features, such as vector search, which helps developers build AI applications on top of its database.
Investors should also pay attention to customer commentary. If more customers mention AI workloads in their deployments, that could be a leading indicator of future revenue growth.
For now, the UBS note serves as a reality check. MongoDB is a solid company with strong demand for its core products, but the AI story is still a work in progress. As with any investment, it's important to look beyond the hype and focus on the fundamentals.
