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Atlassian Cuts 1,600 Jobs As Company Shifts Strategy Toward Artificial Intelligence

The job market has been facing increasing uncertainty; to redirect more resources toward artificial intelligence (AI), the Australian productivity software company Atlassian has announced a new round of layoffs.

In a statement released on Tuesday (11), the company said it will reduce its workforce by about 10%, which corresponds to roughly 1,600 employees. According to Atlassian, the decision is intended to free up resources for greater investment in AI development and enterprise sales, while also strengthening the company’s financial position.

“The bar for what it means to be ‘excellent’ as a software company — across growth, profitability, speed, and value creation — has increased,” Atlassian CEO Mike Cannon-Brookes wrote in a note addressing the layoffs.

Atlassian CEO Mike Cannon-Brookes. (Image: LinkedIn)

Despite the cuts, the company stated that its overall performance remains strong. However, Atlassian explained that it is adjusting its structure in response to current market conditions. When asked about which roles would be affected and what the next steps might be, the company declined to provide additional details.

The layoffs follow similar moves by other large corporations in the technology sector. Companies such as HP have also announced workforce reductions, with plans expected to affect between 4,000 and 6,000 employees by 2028.

More recently, Block CEO Jack Dorsey revealed that the payments company would lay off nearly half of its workforce — about 4,000 employees — as part of restructuring efforts driven in part by the adoption of AI systems capable of automating tasks previously handled by human workers.

Earlier statements from venture capital investors had predicted that 2026 would be the year when artificial intelligence would begin to significantly affect the labor market. So far, that forecast appears to be materializing.

At the same time, some financial market analysts warn that the current surge of investment and enthusiasm surrounding AI could be disconnected from its short-term revenue potential. According to these experts, such conditions may increase the risk of a speculative bubble forming around the sector.

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