Meta just made Wall Street's biggest AI bet yet - and it's coming with a massive human cost. The social media giant announced plans to spend up to $135 billion on AI infrastructure in 2026 while simultaneously preparing sweeping layoffs to offset the unprecedented capital expenditure. Investors initially spooked by the eye-watering spending figure reversed course, sending shares up nearly 3% in premarket trading as the cost-cutting measures calmed fears about profitability. The move signals a dramatic new chapter in Big Tech's AI arms race, where companies are now willing to restructure entire workforces to fuel their generative AI ambitions.
Meta dropped a bombshell on Wall Street Monday morning, unveiling plans to pour up to $135 billion into AI infrastructure this year while simultaneously preparing massive workforce reductions to balance the books. The dual announcement sent the company's stock up nearly 3% in premarket trading, a remarkable turnaround after the staggering spending figure initially rattled investors worried about unsustainable capital expenditure.
The $135 billion commitment represents the largest single-year AI investment ever announced by a technology company, dwarfing previous estimates and signaling just how seriously CEO Mark Zuckerberg is taking the generative AI race. According to CNBC's reporting, the massive capex will fund data center construction, advanced GPU clusters, and infrastructure needed to train and deploy next-generation AI models across Meta's family of apps.
But the real story is what Meta's willing to sacrifice to make it happen. The company is preparing what sources describe as "mass layoffs" - though specific numbers haven't been disclosed - to offset the AI spending surge and maintain profitability targets. It's a stark calculation that reveals how the AI revolution is fundamentally reshaping Big Tech's priorities, with human capital increasingly viewed as negotiable in the race for artificial intelligence dominance.
Investors initially balked at the $135 billion figure when markets opened, sending shares down in early premarket trading. The number represents a significant jump from Meta's previous guidance and raised immediate questions about return on investment and timeline to profitability for AI initiatives. Fears around "unsustainable spending" dominated early trading activity, with analysts scrambling to revise financial models.
