Atlassian laid off 10% of its workforce (1,600 employees) to self-fund AI and enterprise sales investments, as its stock lost over half its value in 2026.

1,600 positions cut spread across Atlassian's operating regions.
CEO Mike Cannon-Brookes called it a difficult but necessary decision to self-fund investments in artificial intelligence and enterprise sales capabilities. Rather than raising external capital, Atlassian chose to cut internal costs to redirect resources toward AI.
The company's stock had lost more than half its value during 2026 amid a broader software sector selloff. Investors feared AI tools like coding assistants and automation could reduce demand for products like Jira and Confluence — Atlassian's core offerings.
"These are among the hardest decisions we have to make. But to invest in AI and enterprise sales in a self-funded way, we need to act decisively."
Atlassian is not alone. Block, led by Jack Dorsey, made similar cuts in early 2026 citing AI automation. Google reorganized divisions to prioritize AI products. Meta continued shifting resources from metaverse to AI.
The pattern suggests a fundamental industry-wide reallocation of resources from traditional software development toward AI capabilities. New roles in AI engineering, prompt design, and AI safety are emerging but cannot yet fully offset traditional job losses.
Atlassian expects restructuring charges of $225 to $236 million related to the layoffs. This cost range includes severance packages, transition support, and other related expenses.
With the stock having lost more than 50% of its value, the company faces intense investor pressure to demonstrate a new growth path through AI. Savings from the workforce reduction will be redirected directly toward AI product development and expanding the enterprise sales force.
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▸ If you work in software in Australia or India, this round of layoffs could directly affect your job market -- 1,600 roles eliminated in a single announcement.
The most common questions about Atlassian's layoffs and the impact of AI on the tech industry.
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