
"Meta employed nearly 79,000 people globally as of the end of last year. A reduction of 20 per cent would potentially affect more than 15,000 roles. The potential cuts follow a period of heavy spending on artificial intelligence infrastructure and talent as chief executive Mark Zuckerberg pushes to position the company as a leader in generative AI and so-called "superintelligence"."
"Meta has already committed to investing hundreds of billions of dollars into new AI data centres and computing capacity over the next several years. The company has signalled that it plans to spend as much as $600 billion building new data centre infrastructure by 2028 as it scales its AI capabilities."
"According to sources familiar with the discussions, senior executives at the company have begun signalling to leadership teams that job cuts are likely, although the scale and timing of the reductions have not yet been finalised. If the reductions were to reach the 20 per cent level currently under discussion, it would represent the largest workforce reduction since the company's sweeping restructuring in 2022 and 2023."
Meta is reportedly considering significant workforce reductions of approximately 20 percent, potentially affecting over 15,000 employees out of its nearly 79,000-person global workforce. This would represent the largest layoff since 2022-2023 restructuring. The cuts aim to offset escalating costs associated with artificial intelligence investment and infrastructure development. CEO Mark Zuckerberg is positioning Meta as a leader in generative AI and superintelligence, committing hundreds of billions to new AI data centers and computing capacity, with plans to spend up to $600 billion on infrastructure by 2028. Simultaneously, Meta offers substantial compensation packages to attract top AI researchers. While Meta declined to confirm layoff plans, internal discussions about team streamlining have intensified recently among senior executives and leadership teams.
#meta-layoffs #ai-infrastructure-investment #workforce-reduction #artificial-intelligence-spending #corporate-restructuring
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