"Guided by company-wide principles and a disparate impact analysis, we made some structural org changes and focused on retaining Atlassians with the skills to help us thrive as an AI-first company - this included strong performers, graduates, and Atlassians with transferable skills."
"Studies have shown how these younger workers may be particularly exposed as AI tools get increasingly capable of doing tasks that can often fall to entry-level workers. In November, Stanford researchers said that early-career workers, those aged 22 to 25, in AI-exposed fields experienced 16% relative employment declines."
"It's no secret that recent graduates are facing a tough overall job market. While it's unsurprising that high performers or those with transferable skills were highlighted as categories spared, retaining graduates runs counter to a narrative that's gained steam in the last year."
Atlassian announced layoffs of 1,600 workers, approximately 10% of its global workforce, to fund AI initiatives. CEO Mike Cannon-Brookes identified three employee categories for retention: high performers, graduates, and workers with transferable skills. This approach contradicts prevailing concerns about entry-level job prospects amid AI advancement. Recent graduates face challenging employment conditions, with research indicating early-career workers aged 22-25 in AI-exposed fields experienced 16% relative employment declines. Despite industry predictions that AI could eliminate up to half of entry-level white-collar positions within 1-5 years, Atlassian's decision to retain graduates signals confidence in their workplace value and suggests the company views them as essential for research and development efforts.
Read at Business Insider
Unable to calculate read time
Collection
[
|
...
]