Meta, the US technology giant that owns Facebook, Instagram, and WhatsApp, is reportedly planning another major round of layoffs that could affect more than 20% of its employees.
According to international news agencies, the company aims to streamline operations and improve efficiency by increasing the use of artificial intelligence (AI) across its platforms and internal processes.
The move reflects a broader strategy among major tech companies to automate workflows, reduce operational expenses, and prioritize AI-driven innovation.
Meta’s Workforce and Previous Layoffs
Currently, Meta employs around 79,000 people worldwide. However, the company has already conducted large-scale layoffs in recent years as part of its restructuring strategy.
- In 2022, Meta laid off 11,000 employees.
- In 2023, the company cut another 10,000 jobs.
These layoffs were part of CEO Mark Zuckerberg’s “Year of Efficiency” strategy, aimed at focusing resources on AI development, metaverse technologies, and core digital platforms.
If the new plan is implemented, it could become one of the largest workforce reductions in the company’s history.
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AI Integration Driving Corporate Restructuring
Reports suggest that Meta is increasingly relying on artificial intelligence tools to automate tasks that were previously handled by human employees.
AI technology is now being used in areas such as:
- Content moderation
- Advertising optimization
- Data analysis
- Customer support automation
- Software development assistance
Experts say this shift reflects a growing industry trend where AI adoption is transforming workforce structures across the global technology sector.
Impact on the Global Tech Industry
Meta’s possible layoffs highlight the rapid transformation taking place in the tech industry, where companies are restructuring to remain competitive in the AI-driven digital economy.
Analysts believe that while AI adoption may increase productivity, it could also reduce demand for certain roles, especially in administrative and operational departments.
However, the shift may also create new opportunities in AI engineering, data science, and advanced technology development.
