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AI Product Push Might Change The Case For Investing In Atlassian (TEAM)

Simply Wall St · 1d ago
  • Atlassian has launched a Forward Deployed Engineering program and introduced the Agentic Multiplayer Protocol, along with a new MCP server and richer Teamwork Graph context, to help enterprises put AI agents into production across Jira, Confluence, Loom, Bitbucket and connected third party tools.
  • The Forward Deployed Engineering model turns individual client projects into shared code, reusable agents and connectors that feed back into Atlassian’s core platform. This means each engagement can refine the Teamwork Graph and potentially improve AI efficiency and quality for the wider customer base.
  • We will now look at how Atlassian’s embedded Forward Deployed Engineering approach could shape the company’s longer term investment narrative.
Spot opportunities beyond Atlassian by scanning a curated group of AI infrastructure players through our 91 AI infrastructure stocks that are already wiring intelligent agents into real production workflows.

Atlassian Investment Narrative Recap

To own Atlassian, you need to believe the cloud collaboration and workflow platform can turn deep AI usage into durable, monetizable products while keeping large enterprises on Jira, Confluence and the broader suite. The big near term swing factor remains execution with larger and more complex cloud and AI deployments, where delays could stretch sales cycles and mute near term revenue and free cash flow.

The Forward Deployed Engineering program, AMP, and the richer Teamwork Graph all speak to tighter AI integration, which could support that usage story but do not by themselves change the headline risks. Heavy AI and R&D spend still needs to convert into pricing power over time. Competitive pressure from bundled suites and any slowdown in paid seat expansion across developers and business users remains the key operational risk to watch.

The Agentic Multiplayer Protocol looks most relevant to the current catalyst debate because it tries to make AI agents visible, governable and production grade inside and outside Atlassian tools. That matters for customers who worry less about AI features on slides and more about who owns an agent, what it can touch, and how its work is audited.

If AMP, the MCP server and the expanded Teamwork Graph drive more reliable AI powered workflows across Jira, Confluence, Loom and Bitbucket, that could support higher engagement and stickier deployments on large accounts. The flip side is clear: if usage does not translate into stronger upsell, better renewals or differentiated enterprise wins, then the heavier AI focus could pressure margins without materially improving Atlassian’s long term earnings path.

Atlassian's current analyst storyline points to revenues of US$9.9b and earnings of US$725.2m by 2029. That path assumes revenue expanding at 14.7% a year, moving from an earnings loss of US$53.8m today to a profit of US$725.2m, which is an earnings swing of about US$779m.

Uncover why Atlassian's fair value indicates a 6% potential upside to its current price, which could narrow quickly.

NasdaqGS:TEAM 1-Year Stock Price Chart
NasdaqGS:TEAM 1-Year Stock Price Chart

Exploring Other Perspectives

Some of the lowest Atlassian forecasts focus on a different concern for you to weigh. They lean into the idea that heavy R&D and AI spend might weigh on margins, with revenues closer to US$9.5b and earnings around US$675m by 2029. Those views were set before this AI news, so opinions may shift again.

Explore 8 other Atlassian fair value estimates, including one that suggests as much as 57% downside from the current price!

Reach Your Own Conclusion

Disagree with existing narratives? Extraordinary investment returns rarely come from following the herd, so consider trusting your own analysis.

Looking For More Ideas Beyond Atlassian?

If this Atlassian story has sharpened your thinking about AI, margins and long term compounding, it can help to compare it with a wider field of potential opportunities using the Simply Wall St Screener.

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This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned.