Atlassian Shares Surge 15% as AI Tailwinds From Snowflake and Dell Lift Software Sentiment

By Sophia Reynolds|Financial Markets Editor
Atlassian Shares Surge 15% as AI Tailwinds From Snowflake and Dell Lift Software Sentiment

Shares of collaboration software company Atlassian (NASDAQ:TEAM) surged 15.4% in Wednesday afternoon trading, extending a two-day rally fueled by growing conviction that AI adoption is accelerating enterprise software spending rather than undermining it.

The move followed Snowflake's best single-session gain since its 2020 IPO—a 36% jump on May 28 after its Q1 results showed AI is driving demand for enterprise data platforms. Hours later, Dell's quarterly report reinforced the hardware side of the equation: revenue of $43.8 billion (up 88% YoY), AI server revenue of $16.1 billion (up 757%), and a record AI backlog of $51.3 billion. Taken together, the read-through was clear: enterprises are deploying AI at scale, and they need both software layers and hardware stacks to do it.

A supportive macro backdrop added to the lift. The 10-year Treasury yield dipped to 4.45% amid reports of a U.S.-Iran truce extension, lowering the discount rate on long-duration growth stocks and making high-multiple names like Atlassian more attractive to momentum-driven investors.

Atlassian closed the session at $107.64, up 15.4% from the prior close. Still, the stock remains 51.3% below its 52-week high of $220.89 from July 2025 and has shed 30.5% year-to-date, underscoring how far sentiment has shifted—and how much ground a sustained AI narrative could recover.

The rally marks the 34th move greater than 5% for Atlassian over the past year, but moves of this magnitude are rare even by its volatile standards. The previous comparable swing came just one day earlier, when the stock gained 4.7% on Snowflake's initial results.

Atlassian's own Q3 results had already hinted at the trend: enterprises are expanding their software footprint as AI workloads grow, not shrinking it. The bear case that gripped both TEAM and SNOW through 2025 and early 2026—that AI would displace traditional platforms—has been dismantled from multiple angles. Snowflake's CEO described how Cortex Code compresses data pipeline build times; those development projects are tracked in Jira, documented in Confluence, and increasingly managed by Rovo agents assigned directly to Jira tickets. Atlassian's newly launched agent orchestration layer positions it as the coordination system for exactly the AI workloads Snowflake says are accelerating.

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