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

Piper Sandler set a $175 price target on Atlassian, implying roughly 100% upside from current levels, despite sector-wide multiple compression tied to AI concerns. The article highlights accelerating cloud revenue, more than $1 billion in annualized recurring revenue from the Service Collection package, and Rovo users growing ARR about twice as fast as non-users. Management sees a $140 billion addressable market and continued operating leverage as the data center business is phased out.

Analysis

TEAM is turning from a pure multiple-compression story into a functional AI distribution story, which matters because the market is still pricing it as if AI only destroys seat-based SaaS economics. If Rovo and related credits continue to lift ARPU/retention, the incremental value is not just higher revenue growth but a lower churn floor and faster monetization of existing workflows, which can re-rate the stock even if top-line growth remains only mid-teens.

The second-order winner set is broader than TEAM: cloud collaboration and dev-execution peers with embedded context layers can defend pricing better than horizontal SaaS vendors. The real pressure point is on legacy on-prem or workflow tools that lack proprietary data gravity; once customers centralize work inside a system-of-record, AI features become a retention moat rather than a substitutable widget. That should support the stronger names in the software stack while widening dispersion across the group over the next 6-12 months.

The market is likely over-discounting the speed of AI cannibalization. The key risk is not that AI reduces software demand, but that it delays budget expansion and forces a longer normalization period for valuation multiples; if cloud migration slows or usage monetization stalls over the next 1-2 quarters, the stock can mean-revert hard because expectations have already reset. Conversely, a sustained acceleration in AI credit usage and attach rates would force the sell-side to chase estimates upward into the next two earnings cycles.

The contrarian read is that consensus is treating AI as a binary displacement threat when the nearer-term effect is monetization enhancement for vendors with embedded workflow data. That makes the current setup more attractive as a timing trade than a secular macro call: the business doesn’t need heroic assumptions, just proof that AI features expand wallet share faster than they raise cost of delivery. If that shows up, the rerating can happen well before any full earnings inflection.

Key Decisions for Investors

• Long TEAM on pullbacks over the next 2-6 weeks; target a 12-month re-rating if AI attach continues to improve and cloud migration stays on track. Risk: multiple compression resumes quickly if the next quarter shows slower credit usage or weaker ARR acceleration.
• Buy TEAM Jan-2027 call spreads to express upside without paying full delta for a still-volatile rerating story. Favor strikes that monetize a move back toward prior peak confidence levels rather than assuming flawless execution.
• Pair trade: long TEAM / short a basket of legacy SaaS names with weaker AI context advantage over the next 3-9 months. The thesis is dispersion, not sector beta; the trade works if investors reward embedded workflow data and punish commoditized seat expansion.
• Use any post-earnings selloff in TEAM to add only if AI usage metrics remain intact; if credit consumption or Rovo-linked ARR decelerates for two consecutive quarters, cut the position. That would signal the market’s AI-displacement concern is becoming operational rather than rhetorical.
• For more conservative exposure, buy a small basket long TEAM, NVDA, and a software supplier with AI-enablement exposure, funded by shorts in lower-quality SaaS. The objective is to isolate winners from AI adoption rather than betting on the entire software complex.