Meta slashes jobs amid ai spending spree

The tech giant’s latest restructuring, impacting hundreds of roles across sales, recruiting, and its Reality Labs hardware division, reveals a stark reality: even titans are scrambling to secure their position in the burgeoning artificial intelligence landscape. Meta’s pivot is aggressive, fueled by a staggering projected $135 billion investment in AI over the next few years.

Reality labs faces the sharpest cuts

While Meta attempts to frame the layoffs as routine adjustments, the scale is anything but. Fewer than 1,000 employees will be affected, a small fraction of the company’s global workforce of roughly 79,000, but the impact is concentrated within Reality Labs, the division responsible for Meta’s ambitious VR and AR hardware initiatives. Earlier this year, Reality Labs already shed over 1,000 positions, signaling a deeper strategic shift than Meta’s public statements initially suggested.

The move isn't isolated. Mark Zuckerberg has been vocal about how AI will fundamentally reshape Meta’s operations, and the company is actively integrating AI agents into workflows, empowering engineers to collaborate more effectively on coding and other projects. This push, though, requires a recalibration of resources, and it seems less glamorous hardware projects are bearing the brunt.

The company’s commitment to AI is breathtaking: a projected $600 billion investment in US infrastructure by 2028 alone. But the speed of this transformation demands difficult choices. Meta is actively poaching talent from rivals like Google, signaling a fierce competition for AI expertise. They’re offering displaced employees alternative roles within the company whenever possible, a concession to the inevitable public relations scrutiny that accompanies large-scale job cuts.

But the underlying message is clear: Meta is prioritizing the future of AI over existing hardware ventures. The company’s early gambles on virtual and augmented reality, once touted as the next computing platform, are now taking a backseat to the perceived urgency of mastering the AI frontier. The question now isn't whether Meta can deliver on its ambitious AI promises, but whether the costs—both in terms of human capital and financial outlay—will ultimately justify the pursuit.