Meta To Cut Thousands Of Jobs Next Month As AI Spending Hits Record Levels

Meta to Cut Thousands of Jobs Next Month as AI Spending Hits Record Levels Meta Platforms is set to lay off thousands of employees next month as the company significantly ramps up spending on artificial intelligence (AI) projects, marking one of its largest workforce reductions in recent years.

The company confirmed in an internal memo that it plans to cut around 10% of its global workforce approximately 8,000 jobs while also discontinuing thousands of open positions that were previously scheduled for hiring. The layoffs are expected to take effect on May 20, 2026, as part of a broader restructuring aimed at improving efficiency and redirecting resources toward high-priority areas, particularly AI development. Meta is currently investing heavily in artificial intelligence infrastructure, with spending projected to reach between $115 billion and $135 billion in 2026 alone, driven by large scale data center expansion, advanced computing systems, and AI model training initiatives. According to the company, the restructuring is intended to “run the company more efficiently” while balancing rising operational costs linked to its aggressive AI push. Although Meta did not explicitly state AI as the sole reason for the layoffs in its internal communication, executives have previously acknowledged that growing investment in AI systems is reshaping staffing needs across the organization. The move reflects a wider trend in the global tech industry, where major firms are reducing headcount while increasing spending on AI infrastructure and automation tools. Analysts say companies are increasingly shifting resources away from traditional roles toward machine learning, data engineering, and AI product development. Meta, which employed around 79,000 people at the end of 2025, has already carried out multiple rounds of restructuring over the past year as it continues to reposition itself around artificial intelligence and long-term technological competitiveness. The latest decision has raised concerns among employees about job security in the tech sector, as AI continues to transform how big tech companies operate and allocate human resources.