This post digs into Datadog’s huge quarterly results, its central role in the AI infrastructure stack, and how the market reacted. We’ll also check out Twilio’s latest AI-focused product updates. Put together, these reports hint that AI-native software firms with clear ways to make money might be some of the rare winners in a slowing software market.
Datadog’s blockbuster earnings and the AI infrastructure moat
Datadog just reported a quarter that investors didn’t just like—they celebrated it as proof that AI adoption is changing who wins in software. Revenue broke the $1 billion mark for the first time, and the stock jumped about 31% after the news.
Management bumped up its full-year guidance, pointing to steady demand for the cloud infrastructure behind big AI models. Datadog’s platform is a crucial layer for training and running AI systems, including those from OpenAI and Anthropic. That makes it a key player in the AI supply chain.
This quarter, the company hit two big milestones: strong revenue growth and landing two major hyperscaler customers for training in their superintelligence labs. Analysts pointed out that OpenAI is one of Datadog’s largest customers. That’s a clear sign Datadog is right in the thick of large-scale AI model development.
The earnings call sparked a lot of excitement. Several analysts called the stock a “must-own,” which helped lift other AI-adjacent names like Snowflake and MongoDB—both rising around 10% in the same session.
From an investor’s view, there are two main takeaways. First, the AI infrastructure thesis is starting to look like a reliable revenue driver. Second, there’s growing demand for companies that can actually show how they’ll make money from AI.
The Datadog story shows that the AI value chain—data collection, observability, and training support—can turn into steady, recurring revenue if you’re working with big cloud providers and enterprise customers.
What this signals for the AI infrastructure landscape
AI adoption is speeding up, and infrastructure is playing a decisive role in model development and reliability. This quarter’s results highlight a few things for the broader market:
- AI-native platforms with clear monetization strategies are catching investors’ eyes, even while most software is struggling.
- Hyperscaler partnerships for training and deployment can really boost revenue and lock in customers.
- News about AI infrastructure providers tends to ripple across related companies, lifting the whole sector’s mood.
Analysts stressed that Datadog’s strengths—solid infrastructure products and an ability to land strategic AI customers—help explain the “must-own” buzz. Its ability to scale with big cloud providers just reinforces the idea that the AI economy rewards companies that can handle data, observability, and AI workloads all at once.
Twilio’s AI momentum and what it means for AI-adjacent stocks
Alongside Datadog, Twilio turned in a strong performance. Shares are up about 50% in the last month as the company rolled out a more AI-focused roadmap.
At its annual conference, Twilio showed off new features that use AI to log customer data, help with smooth handoffs, and build actionable lists to improve customer experiences. According to Khozema Shipchandler, the goal is to cut costs and grow revenue by making AI agents better at solving issues and keeping context when calls drop.
These features are designed to make AI a real driver of customer satisfaction and business value—not just another buzzword.
Key takeaways for investors
- A durable AI thesis needs more than just promises about technology. Investors should look for real monetization plans.
- Long-term value depends on secure revenue, especially through enterprise contracts and partnerships with hyperscalers.
- When AI-adjacent stocks rally, it might signal a bigger shift toward AI-enabled platforms that have scalable business models.
Datadog’s strong position in AI infrastructure and Twilio’s hands-on AI improvements point to a bigger trend. Platforms built around AI, with clear commercial impact, could be the ones to watch as the AI economy grows.
Here is the source article for this story: Datadog stock soars 31% on blockbuster earnings as AI winners emerge in software