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Meta to enact significant workforce layoffs in upcoming period

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daily.dev editorial
3 min read
Meta to enact significant workforce layoffs in upcoming period
Quick Take

Meta may cut roughly 20% of its workforce to offset AI infrastructure and R&D costs, sparking debate over AI-driven layoffs.

Meta, the tech giant behind popular platforms such as Facebook and Instagram, is reportedly gearing up for one of its largest workforce reductions since 2022. According to multiple media reports citing sources familiar with the internal discussions, the company is considering cutting approximately 20% of its 79,000-person workforce, which would result in around 16,000 employees losing their jobs.

Despite the significant scale of the rumored layoffs, the move does not appear to stem from financial struggles. In fact, Meta reported more than $200 billion in revenue for 2025. Instead, the company is said to be reallocating resources to cover the rising costs of artificial intelligence (AI)-related infrastructure and research and development (R&D) as it positions itself for a future heavily influenced by AI advancements.

Balancing AI investments with workforce cuts

Meta’s potential layoffs are reportedly part of a broader strategy aimed at offsetting the high expenses associated with AI technology. The company appears to be preparing for a workplace where AI-assisted tools will enable workers to achieve higher productivity with fewer resources. This approach has already garnered a positive response from investors, with some analysts interpreting it as a sign of AI’s growing impact on efficiency and productivity across industries.

However, no official confirmation of these plans has been provided. Meta spokesperson Andy Stone addressed the swirling speculation, stating, "This is speculative reporting about theoretical approaches", according to Reuters.

A continuation of recent layoffs

If the cuts proceed as rumored, they would follow a string of reductions at Meta in recent years. In 2025, the company terminated about 3,600 employees due to performance evaluations. At the start of 2026, over 1,000 roles were eliminated in the Reality Labs division as Meta redirected resources to AI-powered products. Since 2022, Meta has implemented multiple rounds of layoffs, reducing its workforce by tens of thousands of employees.

The broader trend of AI-driven layoffs

Meta is not alone in turning to workforce reductions amid increasing reliance on AI technologies. Block recently announced plans to cut over 4,000 jobs, emphasizing its belief that smaller, highly skilled teams equipped with AI tools can deliver better results. Likewise, Amazon eliminated 16,000 corporate roles in January, citing efforts to streamline operations and reduce bureaucracy while expanding its use of AI and automation.

According to data from outplacement firm Challenger, Gray & Christmas, AI was a factor in over 12,000 job cuts in the United States during 2026 alone. Other major tech companies, including Oracle, have also announced large-scale layoffs tied to investments in AI R&D and efficiency measures.

Questions about trust and transparency

While companies assert that AI is reshaping operations and driving productivity, critics claim that some layoffs may be driven by other factors. OpenAI CEO Sam Altman has raised concerns that some firms may be engaging in "AI-washing", using AI as a convenient justification for downsizing decisions that are primarily financially motivated.

Notably, a 2026 report from Forrester found that many layoffs reportedly linked to AI were, in reality, based on speculative future efficiencies rather than fully operational AI systems. The report projected that more than half of such decisions could eventually be reversed, highlighting potential flaws in these assumptions. This lack of transparency, according to the report, could erode trust among employees and raise challenges for HR departments seeking to maintain credibility while navigating this shifting landscape.

As of now, Meta’s plans remain unconfirmed. However, the potential for such a significant reduction in its workforce is already prompting broader conversations about how companies, both in and beyond the tech sector, balance AI-driven transformation with the human cost of workforce reductions.

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