Datadog stock soars 31% as blockbuster earnings prove AI drives growth, not disruption

Datadog Stock Surges on Revenue Milestone and Raised AI Guidance

Datadog stock soared 31% on Thursday following blockbuster earnings that demonstrated how the cloud monitoring platform has positioned itself as a clear winner in the AI infrastructure race1

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. The New York-based company reported quarterly revenue topping $1 billion for the first time, a milestone that sent ripples across the software sector and fueled rallies in related stocks like Snowflake and MongoDB, which each climbed 10%1

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Datadog now forecasts annual revenue between $4.30 billion and $4.34 billion, up from a previous range of $4.06 billion to $4.10 billion2

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. Adjusted earnings per share are expected between $2.36 and $2.44, above the prior range of $2.08 to $2.162

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. This significant upgrade reflects accelerating demand driven by generative AI adoption and the modernization of corporate digital infrastructures across multiple sectors.

Cloud Infrastructure Powers AI Models from OpenAI and Anthropic

Datadog provides the cloud infrastructure that AI models from OpenAI and Anthropic run on, with analysts identifying OpenAI as its biggest customer1

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. During the earnings call, CEO Olivier Pomel revealed that the company landed two major hyperscaler customers for training in their superintelligence labs, underscoring Datadog's expanding footprint in cutting-edge AI development1

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. JP Morgan previously noted that Datadog had mentioned an eight-figure contract with "a leader in AI models," potentially Anthropic, highlighting the scale of these partnerships2

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The momentum illustrates how new code generation tools, such as Claude Code, are significantly accelerating application production and mechanically increasing the need for cloud monitoring and infrastructure oversight2

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. This creates a virtuous cycle where AI advancement directly expands Datadog's addressable market.

Software Firms Successfully Leveraging AI Restore Investor Confidence

The performance from Datadog follows strong earnings from Twilio last week, demonstrating how software firms successfully leveraging AI can articulate clear paths to monetization and ease disruption fears1

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. At Twilio's investor day on Wednesday, the communications platform unveiled new capabilities that help AI agents communicate and work together more effectively, addressing practical implementation challenges that enterprises face1

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Investor confidence is returning to companies that can deploy AI-native solutions while demonstrating concrete revenue growth. Andrew Sherman, analyst at TD Securities, called Datadog's results "an eye-popping print" and labeled it a "must-own stock"1

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. Dan Ives from Wedbush emphasized that "this growth is driven by accelerating demand for its platform in both AI-native and more traditional applications, reinforcing Datadog's strategic positioning at the heart of cloud migration, digital transformation, and AI adoption"2

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AI Acts as Growth Engine Across Cybersecurity and Cloud Monitoring

Wedbush views these results as a major turning point, stating that "artificial intelligence acts as a growth engine rather than a disruptive threat"2

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. Datadog's positioning across cloud, digital transformation, and AI training and inference provides multi-year visibility to support accelerated growth and continued market share gains. JP Morgan maintains a positive outlook, considering Datadog a "category leader in the cybersecurity space" with long-term growth potential largely underpinned by artificial intelligence2

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. The expansion of Datadog's addressable market is driven by the rising prominence of AI across the entire digital economy, suggesting sustained cloud momentum as enterprises continue their digital transformation journeys.