Atlassian cuts 1,600 jobs to invest in artificial intelligence

Atlassian has cut 10% of its employees, about 1,600 people, saying it needs to redirect resources to developing artificial intelligence. It is one of the largest layoffs in the company's history, and it comes amid a broad wave of similar decisions across the tech industry.

The company has not disclosed which divisions were affected. Atlassian, the maker of Jira, Confluence, Trello and several other enterprise tools, is based in Sydney and has offices around the world. Of a total workforce of about 16,000, roughly 1,600 people were cut.

The company said it will put the freed-up funds into AI features for its products. It is a justification that dozens of tech companies, from startups to giants, have used over the past several years.

Atlassian is following in the footsteps of Block, the company behind Square and Cash App. Earlier this year Block also made large-scale cuts, explaining them as a reorganization for AI development. Financial companies, SaaS vendors, cloud providers: the trend spans different segments.

The pattern is always the same: a company announces an AI transformation, then cuts staff by 10-15%. Investors react positively, reading it as a signal of lower operating costs and a bet on more productive tools.

The years 2025-2026 became the period when the promises of AI agents in enterprise products began to materialize. Microsoft built Copilot into the entire Microsoft 365 suite. Notion released AI features. Salesforce is building an agent platform. In this context Atlassian cannot afford to fall behind: Jira and Confluence are core tools at thousands of companies, and the emergence of AI-native competitors may push some customers to switch platforms.

Shifting budget toward AI looks logical: developing LLM features, tuning models and building infrastructure for agent scenarios all require significant investment, which is easier to fund by cutting staff than by raising new capital.

AI-flagged layoffs have become a genre of corporate communication in their own right. The key question remains the same: how real is the promised transformation, and how much is simply cost optimization with a convenient narrative? In Atlassian's case, both factors are most likely at work at once. The company has long invested in built-in AI features, but the scale of the cuts, 10%, suggests the stakes really are high. Atlassian clearly believes the enterprise software market is about to change radically, and wants to be ready in advance.

For the other players, it is one more signal: AI transformation is no longer a marketing talking point but an operational reality, and real people bear the cost.