Atlassian Cuts 10% of Workforce to Fund Its Next Big Bet on AI
Atlassian plans to cut around 1,600 jobs as the company shifts more resources toward building artificial intelligence products.
Atlassian, the Australian software company known for workplace tools used by developers and business teams around the world, is cutting roughly 10% of its global workforce as part of a restructuring aimed at accelerating its investment in artificial intelligence.
The layoffs will affect about 1,600 employees across the company. Company leaders say the layoffs are meant to free up resources so Atlassian can invest more heavily in AI features across its products.
The decision was announced to employees in a company-wide message from Atlassian CEO and co-founder Mike Cannon-Brookes, who described the changes as part of a broader shift in how Atlassian plans to build and deliver software in an increasingly AI-driven industry.
A strategic shift toward AI
Atlassian executives say the layoffs are tied directly to a reallocation of resources toward artificial intelligence initiatives and enterprise-focused growth. Rather than relying heavily on external funding or slowing other operations, the company wants to “self-fund” its AI development by trimming certain parts of the organization.
The cuts represent about one in ten employees globally. Reports indicate that North America will see the largest share of layoffs, followed by Australia and India, where Atlassian also has a significant workforce.
The restructuring is expected to cost the company between roughly $225 million and $236 million. Those expenses include severance packages for affected employees and reductions in office space as Atlassian continues to shift toward a more distributed and cloud-based workplace model.
In his note to employees, Cannon-Brookes acknowledged that the decision would be difficult for many workers but argued that the technology industry is entering a new phase where AI will fundamentally reshape how software is built and used.
The company behind some of the most widely used developer tools
Founded in 2002 in Sydney, Atlassian has grown into one of the most influential companies in the enterprise collaboration and developer productivity space. Its products are deeply embedded in the daily workflows of software teams and corporate project managers.
Among its best-known tools are Jira, which tracks software development tasks, Confluence for team documentation and knowledge sharing, and Trello, a project management platform used by businesses and individuals alike.
Over the past decade, Atlassian has steadily expanded from developer tools into broader workplace collaboration software. The company has increasingly promoted what it calls a “System of Work,” a connected ecosystem of tools designed to help organizations manage projects, knowledge, and communication in one platform.
Artificial intelligence is now expected to play a central role in that ecosystem.
Why AI is forcing tech companies to rethink their workforce
Atlassian’s decision reflects a broader pattern across the technology sector. As generative AI and machine learning tools become more capable, companies are reorganizing teams and budgets to prioritize AI development.
That doesn’t necessarily mean AI is replacing employees outright. Instead, it is shifting the type of roles companies prioritize. Engineers working on AI infrastructure, machine learning systems, and automation tools are increasingly in demand, while other functions are being streamlined.
For Atlassian, AI could eventually become embedded across its product lineup. Future features may include automated documentation generation, AI-assisted coding workflows, intelligent task management, and systems that help teams identify project risks before they become problems.
Over time, these features could change what collaboration software actually does for teams. Instead of simply organizing work, these platforms may actively assist teams by analyzing data, generating insights, and automating repetitive tasks.
Investor expectations are also playing a role
The restructuring comes at a time when investors are closely watching how software companies respond to the AI boom.
Investors have recently shown strong interest in companies that can clearly explain how they plan to use AI. In some cases, that has meant higher spending on research and development, acquisitions, and infrastructure related to AI systems.
For Atlassian, self-funding AI development may signal to investors that the company is serious about adapting quickly without putting pressure on its balance sheet.
Shares in the company reportedly moved slightly higher in after-hours trading following news of the layoffs, suggesting investors may view the restructuring as a step toward improving long-term efficiency.
The human cost of the transition
Like many technology layoffs in recent years, the decision also highlights the human impact of rapid technological change.
Atlassian said employees affected by the layoffs will receive severance packages and support during the transition, including compensation and assistance in finding new opportunities.
Even so, the layoffs add to a broader wave of job cuts across the tech industry over the past few years. While companies continue to invest heavily in innovation, workforce reductions have become a common part of restructuring efforts tied to economic uncertainty and shifting technology priorities.
What comes next for Atlassian
Despite the workforce reduction, Atlassian remains one of the strongest players in the collaboration software market, with millions of users across startups, enterprises, and government organizations.
The company has reported steady revenue growth and continues to expand its cloud-based offerings. Its next phase will likely center on how effectively it can integrate AI into the tools that teams already rely on every day.
In the coming months, Atlassian is expected to roll out more AI-driven features across its platform. The success of those tools could determine whether the company maintains its leadership position in developer productivity software as AI reshapes the future of work.
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