1 Software Stock to Buy Before It Doubles, According to Select Analysts

Atlassian’s latest earnings suggest AI is augmenting rather than disintermediating its business, with Rovo users growing ARR roughly twice as fast as non-users and Service Collection topping $1 billion in annualized recurring revenue. Piper Sandler cut its price target to $175 only to reflect sector rerating, but still sees the stock potentially doubling from current levels. The article highlights strong retention, a $140 billion addressable market, and cloud migration tailwinds that could support earnings growth through the decade.

Analysis

The market is pricing TEAM as if AI is a substitute for workflow software, but the more likely second-order effect is that AI becomes a usage amplifier for systems that already own enterprise context, permissions, and historical data. That favors incumbents with embedded collaboration graphs because copilots that sit outside the system of record create friction, while copilots inside the workflow can raise seat expansion, command center usage, and cross-sell conversion. In other words, the economic moat shifts from “task execution” to “context ownership,” which is a structural advantage for Atlassian relative to generic point solutions.

The bigger mispricing is not near-term revenue growth; it is duration. If cloud migration continues to convert customers into higher-ARPU bundles, the earnings power in 2-4 years can re-rate much more sharply than consensus models imply because the operating leverage is front-loaded once legacy drag fades. The upside case depends less on AI monetization alone and more on a compounding loop: more modules adopted, more users touching the platform, more data locked in, and higher switching costs. That makes the current multiple vulnerable to expansion if management sustains even modest execution, because the market has likely over-discounted permanent margin compression.

The main risk is a narrative gap: if AI usage rises but does not translate into incremental paid seats or higher contract value, bulls may be forced to wait through several quarters of “good product, mediocre monetization.” Additionally, the stock remains highly sensitive to sector-wide multiple compression, so any selloff in high-duration software could overwhelm fundamentals for 1-2 quarters. The contrarian read is that consensus is probably underestimating how much AI strengthens enterprise software vendors that own proprietary workflow data, but overestimating how quickly that benefit shows up in reported ARR; the valuation inflection may come later than the product inflection.

Key Decisions for Investors

• Initiate a tactical long in TEAM over 3-6 months; use pullbacks to build size. Risk/reward is favorable if the market starts to price the cloud + AI operating leverage story before reported margins fully inflect.
• Pair trade: long TEAM / short a basket of lower-moat horizontal SaaS names with weaker workflow lock-in over 1-2 quarters. The trade expresses the view that AI favors systems with embedded enterprise context over feature-level software.
• Buy TEAM call spreads 6-12 months out to capture a re-rating without paying full upside premium. This is the cleanest expression if you expect multiple expansion but want defined downside.
• Avoid shorting TEAM on the AI substitution thesis alone; if short exposure is required, hedge with a sector basket short rather than single-name. The risk is a sharp sentiment reversal if one or two quarters confirm AI-driven seat expansion.
• Watch for evidence that cloud migration is lifting net retention and attach rates; if that trend persists for two consecutive quarters, add to the long. If monetization stalls despite adoption, reduce exposure and treat the name as a long-duration multiple trade, not a fundamentals break-out.