Atlassian is cutting around 10% of its global workforce, or roughly 1,600 jobs, as the software maker behind Jira, Confluence and Trello moves to “self‑fund” a major shift toward artificial intelligence and large enterprise customers. The company is pitching the move as a proactive reshaping of its business for the “AI era,” even as it joins a widening list of tech firms turning to layoffs to reset costs and strategy.
In a message to staff and a public update, co‑founder and co‑CEO Mike Cannon‑Brookes framed the layoffs as a deliberate trade‑off to accelerate investment in high‑priority areas such as AI, product innovation and enterprise go‑to‑market, rather than waiting for external capital or more favourable market conditions.
He told employees the company is acting now to “self‑fund further investment in AI and enterprise sales, while strengthening our financial profile,” and said Atlassian is “reorganising around our system of work so we can move faster” on its long‑term product vision. He stressed that the cuts are aimed at “rebalance[ing] our workforce toward the future of teamwork in the AI era,” signalling that some roles will be eliminated even as others are added in AI, cloud and sales.
Regulatory filings show Atlassian expects to book hundreds of millions of dollars in restructuring charges, mainly tied to severance and real estate costs, with most of the financial impact concentrated in the current fiscal quarter. The company said it aims to complete the bulk of the layoffs by mid‑year.
The restructuring will affect about 1,600 people across Atlassian’s global offices, representing roughly 10% of its workforce. The cuts touch a wide range of roles and regions, reflecting the company’s dual headquarters in Sydney and San Francisco and its large engineering and support hubs in North America, Australia, India and Europe.
While Atlassian has not published a detailed breakdown by function, leadership has signalled that roles less aligned with its AI roadmap, cloud migration strategy and enterprise sales motion are most at risk. The shake‑up also reaches into the upper ranks, with reports that senior leaders, including in technology and product areas, are departing as part of a broader organisational redesign.
The move follows a smaller round of layoffs in recent years, underscoring how the company is repeatedly adjusting its cost base and talent mix as demand shifts from traditional on‑premise and server products toward cloud and AI‑enhanced offerings.
Atlassian has emphasised that affected employees will receive enhanced support as they exit the company. Departing staff are set to receive several months of severance pay, with additional weeks based on tenure, alongside continued health benefits for a period and, in some regions, prorated bonuses or stock‑related considerations.
Cannon‑Brookes acknowledged the emotional and personal toll of the decision and tried to separate the layoffs from individual performance. “This is not a decision we made lightly, and it’s not a reflection on the incredible work you’ve done,” he told employees, adding, “I’m deeply sorry for the impact this will have on Atlassians and their families.” He reiterated that the company’s values “haven’t changed” and said leadership is committed to handling the process with “care, transparency and generosity.”
Employees were informed they would receive direct communication clarifying whether their role is impacted, with those messages beginning to roll out shortly after the announcement.
The restructuring comes against a challenging backdrop for listed software companies. Atlassian’s share price has fallen sharply from earlier highs as investors reassess valuations in a world where generative AI is reshaping expectations for productivity tools, collaboration software and developer platforms.
Like many of its peers, Atlassian faces questions about how quickly it can embed AI into its products, protect margins and sustain growth in the face of competition from large platforms and fast‑moving AI‑native start‑ups. By tying its layoffs explicitly to AI and enterprise investments, the company is signalling to markets that cost cuts are part of a coherent plan rather than a purely defensive reaction.
Early market reaction suggested some investors welcomed the firmer stance on costs and capital allocation, with analysts noting that many shareholders are looking for “profitable growth” and clearer AI monetisation paths rather than just top‑line expansion.
Central to Atlassian’s AI push is Rovo, the company’s AI “teammate” that sits across products such as Jira and Confluence to surface information, answer questions, summarise content and automate routine workflows. Rovo is powered by large language models and is positioned as an intelligent layer over the tools many software and business teams already use.
Cannon‑Brookes has described AI as a “once‑in‑a‑generation platform shift” that is already changing how teams plan, build and ship software. In his latest update, he argued that Atlassian’s goal is to be “the system of work for the AI era, not just another app in the stack,” underscoring the company’s ambition to turn its suite into the central operating fabric for modern digital organisations.
Alongside internal development, Atlassian has been striking deals and acquisitions aimed at deepening its AI and developer‑intelligence capabilities, from browser technology designed for knowledge work to tools that analyse developer productivity and code quality. Those assets are expected to be integrated into core products to deliver smarter recommendations, search, debugging and workflow automation.
Equally significant is Atlassian’s renewed focus on enterprise sales. Historically known for its viral, self‑serve adoption model, where teams often adopted Jira or Confluence without heavy sales involvement—the company is now investing more in direct sales teams, solution engineering, channel partners and customer‑success functions targeting large organisations.
Leadership says it is reorganising go‑to‑market efforts “around strategic enterprise opportunities and modern cloud deployments,” aiming to win and expand multi‑product deals with big customers that want deeply integrated, AI‑enabled workflows. That shift aligns Atlassian more closely with traditional enterprise software players, even as it tries to preserve the product‑led growth DNA that fuelled its early expansion.
The bet is that large enterprises will be more likely to standardise on a single “system of work” if Atlassian can offer both breadth planning, collaboration, service management, DevOps and depth through AI‑driven automation and insights.
Atlassian’s decision lands amid a broader pattern: tech companies citing AI as both opportunity and rationale for layoffs. From fintech to e‑commerce and cloud, a growing list of firms are arguing that the rise of AI requires different skill sets, fewer layers of management and a leaner cost structure.
Executives often present these moves as necessary to free up resources for AI research, infrastructure, acquisitions and new go‑to‑market motions. Critics, however, warn that “AI” can sometimes become a convenient umbrella explanation for cost‑cutting, offshoring or restructuring that might have happened anyway in a slower growth environment. Labour advocates and some policy voices are calling for more emphasis on retraining, internal mobility and redeployment rather than wholesale job cuts.
Atlassian sits squarely in the middle of this debate: a company that has championed modern, flexible work and team culture now arguing that painful cuts are needed to secure its place in an AI‑driven future.
With this latest restructuring, Atlassian is attempting a difficult balancing act. On one hand, it needs to reassure investors that it can drive profitable, AI‑powered growth in a more crowded and demanding market. On the other, it must maintain morale among remaining staff and honour a culture built around openness and team‑centric values.
The success of its strategy will hinge on whether it can quickly convert AI initiatives like Rovo into tangible value for customers, deepen relationships with large enterprises and execute its cloud‑first roadmap without further disruption. For now, the company insists the layoffs are part of a clear, long‑term plan rather than the start of an open‑ended austerity cycle.
“We’re confident we’re making the right long‑term decisions for Atlassian and our customers,” Cannon‑Brookes told employees, before adding a more sombre note: “But that doesn’t make today any easier.”
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