Meta announced on April 23 that it would cut about 8,000 jobs, roughly 10% of its global workforce, to focus on an AI-driven transformation [1]. Layoff notices began going out around May 22-23 as the company shut down 6,000 open job positions and reshaped its organization to accelerate AI development [1, 2, 3, 4].
About 7,000 employees will be reassigned to roles related to AI model training and other AI-focused teams as part of the restructuring [2, 3]. Meta CEO Mark Zuckerberg said in an internal meeting that the company’s AI models “learn from watching really smart people do things,” describing how employee activity informs AI training even while layoffs were underway [1].
The reorganization flattens Meta’s management layers and shifts to smaller, more autonomous teams based on what the Chief People Officer called “AI native design principles.” This aims to improve speed and agility in executing AI projects [3]. Though some employees termed the layoff period "28 days of hell," Meta emphasized the changes were not solely cost-cutting but a strategic pivot towards AI [1, 3].
Meta plans to invest approximately $145 billion in AI infrastructure and research this year, underscoring its resource commitment to the AI transformation [4]. CEO Zuckerberg promised no further large-scale layoffs through the end of 2026 [2, 3].
Industrywide, AI adoption is driving layoffs in middle management as automation replaces some roles [5]. Meta’s reductions and reassignment reflect this broader tech trend.
The company’s next key milestone is completing the AI team reassignments and restructuring while focusing on deployment of AI-driven workflows through the rest of 2026 [3].
