Atlassian Self-Funds AI Development Through Layoffs

Enterprise collaboration solutions provider Atlassian (Nasdaq: TEAM) recently announced its third quarter results that continue to outpace market expectations. The stock soared 29% in the after-hours trading session post the result announcement.

Atlassian’s Financials

Revenues for the quarter grew 32% to $1.79 billion, ahead of the market’s forecast of $1.69 billion. Adjusted EPS of $1.75 was also ahead of the market’s forecast of $1.32.

By segment, cloud revenues grew 29% to $1.13 billion compared with the analyst estimates of $1.08 billion. Data center revenues came in at $561 million also ahead of the market’s forecast of $515 million.

For the current quarter, Atlassian expects revenues of $1.653-$1.661 billion compared with the market’s estimates of $1.66 billion.

Atlassian’s stock is trading at $89.43 with a market capitalization of $21.9 billion. It has fallen from the 52-week high of $222.59 it had climbed to in July last year. The stock had fallen to a 52-week low of $56.01 last month.

Atlassian’s AI Focus

Atlassian continues to drive its AI initiative. AI tool Rovo that it had released last year continues to gain traction. Rovo’s AI credit usage grew more than 20% month over month and Atlassian continues to add more capabilities to the tool. Rovo Search is helping shape around the user’s intent and app, pulling live context from every connected tool on Atlassian. Its Chat not only answers questions but also plans and executes multi-step workflows across the stack. Rovo Studio simplifies building AI capabilities by turning problems into a governed agent.

Keeping with the focus, Atlassian recently introduced new AIOps integrations with Lansweeper, Coralogix, and Honeycomb. The new integrations will allow teams to bring specialized telemetry and asset context directly into Jira Service Management that are then connected to the Teamwork Graph and made accessible to Rovo agents to help drive faster detection and a better diagnosis.

Atlassian is also introducing Flex, a new licensing approach focused on driving AI usage for its offerings across the enterprise customers. Instead of predicting usage in advance, the new model will let Atlassian’s bigger customers stay within their committed budget while giving them the flexibility to change access to features, change the number of users, and test additional capabilities across the platform. With Flex, Atlassian is aiming at changing the purchasing approach to span both usage-based and traditional seat-based models.

Layoffs at Atlassian

Atlassian, like others in the space, is funding a lot of this investment in AI through restructuring. Last quarter, the company announced that it was laying off 1,600 workers, nearly 10% of its total workforce.

As of April 2026, the global tech industry has recorded 78,557 layoffs, with 76.7% occurring in U.S. companies. While giants like Oracle (25,000+), Amazon (16,000), and Block (4,000) lead the charge, a disturbing pattern has emerged.

According to research by Alan Cohen (RationalFX), nearly half of these job losses are now explicitly tied to “AI Restructuring.” However, a deeper analysis suggests that AI is often being used as an “AI-as-an-excuse” narrative to justify aggressive cost-cutting and boost sagging stock prices. Companies like Oracle have automated the termination process itself, firing thousands via 6:00 AM emails—a cold-blooded approach that reflects a total deficit of empathy and human kindness.

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