Meta Cuts 700 Jobs Amid AI Pivot While Boosting Executive Equity

Meta’s decision to lay off 700 employees while simultaneously rolling out a new executive stock program marks a significant, albeit controversial, chapter in the company’s ongoing transformation. Announced on March 25, 2026, these job cuts are the latest in a series of surgical reductions aimed at streamlining operations as the social media giant pivots its core focus toward artificial intelligence. While the number of affected employees is relatively small compared to the massive layoffs of 2023, the timing and the concurrent reward for top leadership signal a clear shift in Meta’s talent strategy: prioritizing high-level AI expertise and leadership retention over generalist headcount.

The introduction of a new stock program for executives, as reported by the New York Times, underscores the intensifying war for talent in the AI sector. Meta is essentially signaling to its top brass that their roles in navigating the company through this technological paradigm shift are indispensable. However, from an HR and workforce perspective, this creates a stark internal dichotomy. While the company pursues efficiency by trimming 700 roles—likely in legacy departments or non-AI-centric divisions—it is doubling down on the compensation of those at the helm. This move risks damaging employee morale and could complicate Meta’s employer brand as it seeks to attract the very AI specialists it now deems essential. The optics of rewarding the top tier while cutting the rank-and-file is a classic corporate governance challenge that Meta appears willing to navigate in exchange for executive stability.

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Meta’s decision to lay off 700 employees while simultaneously rolling out a new executive stock program marks a significant, albeit controversial, chapter in the company’s ongoing transformation.

Industry analysts suggest that Meta’s strategy reflects a broader trend among Big Tech firms, including Microsoft and Google, which have also executed targeted layoffs while investing billions in AI infrastructure and talent. The Year of Efficiency that Mark Zuckerberg championed in 2023 has evolved into a permanent state of workforce optimization. In this new environment, headcount is no longer a metric of success; instead, the focus has shifted to revenue per employee and the successful integration of generative AI into the company’s product suite. The 700 employees being let go are, in many ways, casualties of a massive reallocation of capital toward the compute power and specialized expertise required for the next generation of social media. This shift suggests that the traditional tech career path is being rewritten, with a premium placed on those who can directly contribute to AI model development or implementation.