Meta considers major layoffs as AI investments surge

The potential layoffs could impact more than 20 percent of Meta’s workforce as the company ramps up spending on artificial intelligence infrastructure and focuses on efficiency gains driven by AI-enabled tools and automation.

Meta is reportedly considering significant job cuts that could affect more than one-fifth of its global workforce as the company intensifies investments in artificial intelligence infrastructure and advanced research. While the scale and timing of the layoffs have not been finalised, senior leaders within the company have reportedly begun evaluating ways to streamline operations.

If implemented at the proposed level, the workforce reduction would mark one of the largest restructuring efforts at Meta since its earlier cost-cutting measures during 2022 and 2023. The company employed nearly 79,000 people at the end of last year, according to its most recent filings. During its previous restructuring drive, the company eliminated more than 20,000 positions over two rounds of layoffs.

A company spokesperson described reports about the possible job cuts as speculative, indicating that discussions around potential restructuring remain preliminary.

AI strategy driving organisational changes

The potential restructuring comes as Meta pushes aggressively to strengthen its position in the rapidly evolving artificial intelligence sector. CEO Mark Zuckerberg has placed a strong emphasis on building advanced generative AI capabilities and attracting top AI researchers.

Over the past year, the company has reportedly offered lucrative compensation packages to recruit leading AI talent for a specialised “superintelligence” research team. Meta has also outlined plans to significantly expand its computing capacity, including large-scale data centre development to support next-generation AI models.

The company has indicated that advances in AI tools are already improving productivity, allowing certain projects that previously required large teams to be handled by smaller groups of highly skilled engineers.

Industry-wide shift toward AI-driven efficiency

Meta’s strategy reflects a broader trend among major technology companies that are investing heavily in artificial intelligence while also reassessing workforce needs. Many firms believe AI systems can automate certain tasks and improve operational efficiency.

Several technology and fintech companies have recently announced job cuts while increasing spending on AI initiatives. Industry leaders argue that AI tools are enabling organisations to accomplish more with smaller teams.

At the same time, Meta continues to refine its own AI models as it seeks to remain competitive in the global AI race. The company has faced challenges with some of its recent model releases and is working on new systems aimed at improving performance and restoring confidence in its AI research efforts.