1 Glorious Growth Stock to Buy Hand Over Fist in May, According to Wall Street

Datadog reported Q1 revenue of $1.0 billion, up 32% year over year and well above the $956 million forecast, while lifting its 2026 revenue midpoint from $4.08 billion to $4.32 billion. AI product adoption is accelerating, with 6,500 of 33,200 customers using at least one AI integration, up 62% year over year, and adjusted profit rose 30% to $218.1 million. The stock has already rallied 40% since the earnings release and now trades at a record high, though analysts still see about 10% upside on average.

Analysis

DDOG is becoming the toll collector for AI production, not just AI experimentation. The second-order effect is that every incremental model deployment increases observability spend across inference, GPUs, and agent orchestration, which should make DDOG’s net revenue retention more durable than a typical SaaS expansion story. That also raises the strategic value of its platform relative to point tools: once customers standardize on one monitoring layer, switching costs compound as incident history, alerting logic, and cost baselines become embedded in workflows.

The key competitor dynamic is not a direct head-to-head with hyperscalers, but budget competition inside the AI stack. If AI capex slows, DDOG could still take share because its products help customers identify wasted GPU spend and bad model outputs; in a tighter budget environment, that is precisely where procurement is likeliest to approve incremental software. The flip side is that the current multiple implicitly discounts sustained AI attach-rate expansion, so any deceleration in AI usage or a normalization in usage-based metrics could trigger a sharp de-rate despite still-healthy core growth.

Near term, the stock is likely in a momentum regime for the next 1-3 months as guidance revisions attract quant and growth capital. The main risk is that the market is extrapolating one quarter of upside into a multi-year growth reacceleration; if the next print shows AI product consumption growing but not accelerating further, the valuation can compress before fundamentals break. A second-order bear case is that larger platforms bundle monitoring features into broader cloud or devops agreements, capping DDOG’s pricing power over the next 12-18 months.

Consensus likely underestimates how much of this is a margin story, not just a revenue story. If AI tooling lifts mix toward higher-value products while the legacy platform remains sticky, DDOG can sustain premium gross margins and operating leverage longer than the street models, but the bar is now high. This is a quality compounder, but at the current setup the reward is increasingly driven by execution beats rather than multiple expansion.

Key Decisions for Investors

• Stay long DDOG into the next earnings cycle, but size as a momentum trade rather than a core add; upside is another 10-15% on continued guide raises, while a single miss on AI usage could cut 15-20% from the stock.
• Pair trade: long DDOG / short SNOW for 1-3 months, betting that observability spend tied to AI deployment is earlier in the monetization curve than data-platform spending; risk is a broad AI software multiple squeeze.
• If already long DDOG, hedge with short-dated call overwriting against the current strength; implied move likely overstates incremental upside unless the next quarter shows further acceleration.
• For investors seeking cleaner AI infrastructure beta, prefer NVDA or MSFT over DDOG on a 12-month view; DDOG’s multiple leaves less room for disappointment, even though its growth inflection is more immediate.