Block, the fintech company formerly known as Square, cut approximately 40% of its workforce in March 2026, roughly 4,000 employees. CEO Jack Dorsey stated that AI tools now handle tasks that previously required larger departments. Atlassian reportedly made a similar move around the same time, cutting approximately 1,600 employees globally, including an estimated 500 in Australia, citing the need to reshape its skill mix for an AI-driven environment.
These aren’t isolated decisions. According to RationalFX’s classification of 2026 tech layoffs, approximately 9,238 of the 45,363 tech job losses recorded worldwide through early March, about 20%, have been linked to AI implementation and organizational restructuring. RationalFX’s methodology for classifying layoffs as AI-linked isn’t publicly described, so that share should be read as an estimate, not an audit.
Here’s where the story gets complicated. According to a Careerminds survey of approximately 600 HR professionals conducted in February 2026, roughly 32.9% of HR leaders reported losing critical skills and expertise after AI-driven layoffs. The same survey found that approximately 52.1% of HR leaders reported rehiring for previously eliminated roles within six months, with roughly two-thirds reporting rehiring laid-off workers overall.
The Darden School of Business framed the Block situation pointedly: “Is AI the strategy or the scapegoat?” It’s a question the data doesn’t fully answer. What it does suggest is that the skills cost of AI-driven headcount reductions may be arriving faster than the efficiency gains companies expected. For HR leaders and L&D professionals, the practical signal is clear: institutional knowledge that walks out with a workforce reduction doesn’t automatically reconstitute when the rehiring begins. Visit the Job Displacement Trends hub for the full tracker.