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Meta is considering job cuts that could impact 20% of its employees due to expenses related to AI.

Judge in social media case prevents Meta from adding new trauma claims from the plaintiff

Meta Considers Major Workforce Reduction Amid AI Investment

Reports indicate that Meta is contemplating job cuts that could impact at least 20% of its workforce. This move seems aimed at managing the escalating expenses associated with its artificial intelligence infrastructure.

Sources familiar with the situation told Reuters that the potential layoffs are intended to help streamline operations as the company prepares for AI-assisted positions to enhance efficiency. However, the specifics regarding the timing and extent of these job cuts have yet to be determined.

A spokesperson for Meta characterized the report as speculative, describing it as a theoretical discussion.

Substantial Job Losses in the Metaverse Sector

Meta’s executives reportedly discussed these possible layoffs with senior team members recently, according to Reuters. If implemented, this would mark the company’s most significant restructuring since late 2022 or early 2023.

To put this in context, back in November 2022, Meta let go of 11,000 employees, which accounted for about 13% of its workforce at that time. A further reduction of around 10,000 jobs followed a few months later.

Legal Challenges for Meta

As a note, a judge has recently barred Meta from making what were deemed “exaggerated” claims in an ongoing social media trial.

Currently, Meta employs around 79,000 individuals, according to its latest filing. This comes amidst a wave of similar large-scale layoffs by other major companies. For instance, Amazon announced around 16,000 job cuts in January, and they hinted that more could be on the horizon.

The company had initially initiated its downsizing campaign in October, leading to the reduction of about 14,000 white-collar roles, which contributed to a total of roughly 30,000 jobs eliminated across the board.

In its layoffs, Amazon cited the push for efficiency linked to artificial intelligence advancements and a shift in corporate culture as key reasons.

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