Mark Zuckerberg Signals Cloud War With Amazon After Meta Lays Off 8,000 Workers

Meta has laid off around 8,000 employees globally and is now signaling a potential entry into cloud computing, with CEO Mark Zuckerberg hinting that competing with Amazon Web Services (AWS), Microsoft Azure, and Google Cloud is "definitely on the table." The announcement came during Meta's annual shareholder meeting, revealing a strategic shift from a social media giant into an infrastructure heavyweight .

The layoffs were not random but part of a broader restructuring to redirect money toward AI infrastructure. Meta cancelled nearly 6,000 open roles while moving another 7,000 employees into AI-focused teams. Data centres, AI chips, networking equipment, and computing clusters now sit at the heart of Zuckerberg's strategy as the company aims to become an AI-first organisation .

Meta now expects to spend between $125 billion and $145 billion this year alone on AI-related capital expenditure, a significant increase from earlier estimates. The spending surge has rattled investors, with Meta shares falling sharply in April as Wall Street questioned whether the company was spending too aggressively on AI infrastructure .

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During the shareholder meeting, Zuckerberg revealed that companies are approaching Meta weekly asking whether they can buy compute from the firm. "If we get to a point where we feel that we have overbuilt, then that is an option that we have," he said, suggesting Meta could start renting out excess computing capacity, similar to how AWS was born nearly two decades ago .

At the beginning of this year, Meta quietly created a new division called "Meta Compute," focused entirely on expanding the company's infrastructure footprint. The company already operates more than 30 data centres globally and is building giant AI facilities ranging between 1 and 5 gigawatts, with one Louisiana project carrying a price tag of roughly $27 billion .

Cloud computing offers Meta a possible answer to investor concerns about massive AI spending. If the company commercialises excess infrastructure, its AI investment stops looking like a pure cost centre and becomes a future revenue engine. However, taking on AWS won't be easy, as Meta currently lacks enterprise sales teams, compliance frameworks, and developer ecosystems that competitors spent years building .

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