Mark Zuckerberg is about to make the biggest bet of his career — and he’s funding it by firing 20% of his company.
Reuters reported Friday that Meta is planning sweeping layoffs that could affect 15,000 or more employees, making it the largest headcount reduction in the company’s history. The goal? Free up cash to pour into a staggering $600 billion data center buildout by 2028 and compete head-on with Google, Microsoft, and OpenAI in the generative AI arms race.
The timing is telling. Just this Monday, Meta inked a $27 billion deal with Dutch cloud provider Nebius — one of the first major deployments of Nvidia’s next-generation Vera Rubin chips. Add in the $2 billion acquisition of Chinese AI startup Manus and the poaching of top AI researchers with nine-figure pay packages, and it’s clear Zuckerberg isn’t dabbling. He’s going all in.
Here’s the part that should make traders pay attention: Meta stock actually rose on the layoff news. Wall Street loves “efficiency.” The 2022-2023 cuts — which totaled 21,000 jobs — launched one of the most explosive rallies in big tech history. Investors are clearly betting this playbook works again.
But there’s a key difference this time. In 2023, Meta was cutting bloat. In 2026, it’s replacing humans with AI agents and “AI-assisted workers.” Zuckerberg himself said projects that “used to require big teams” are now being done by single employees armed with AI tools. That’s not trimming fat — that’s a structural transformation of how the company operates.
Meta isn’t alone. Amazon axed 16,000 jobs in January. Block cut nearly half its staff last month, with Jack Dorsey explicitly citing AI capability as the reason. A pattern is forming: Big Tech is using AI savings to fund AI spending, creating a self-reinforcing cycle that’s great for margins but brutal for headcount.
For investors, the question isn’t whether AI is transforming tech companies — it clearly is. The question is whether $600 billion in infrastructure spending will generate returns that justify the cost. Meta’s Llama 4 models faced criticism last year, and the company is still playing catch-up in several AI categories. If the ROI doesn’t materialize, those 15,000 lost jobs won’t be the last of the pain.