Meta Reduces Approximately 10% of Workforce, Mainly in Reality Labs Metaverse and VR Business
Meta Platforms (parent company of Facebook) is reported to be cutting about 10% of its workforce, primarily focused on Reality Labs (metaverse and VR business). This department has around 15,000 employees, and the adjustment will affect about 1,500 positions, forming part of a systematic compression of Meta's cost structure alongside other layoffs and bonus reductions implemented last year.
Reports indicate that Reality Labs has been operating at a long-term loss, while the company is shifting resources and engineering focus towards AI and infrastructure. This round of layoffs is seen as a contraction and reevaluation of the "metaverse bet" in the context of ongoing expansion in AI capital expenditure. Meta has already undergone multiple rounds of large-scale layoffs from 2022 to 2023, and this latest move is a "precise slimming down" of specific business lines rather than a broad reduction in scale.
Several English analyses and industry observations suggest that Meta's optimization is essentially a resource allocation shift "towards AI and retreating from the metaverse": using layoffs and bonus cuts to free up cash flow to support supercomputing clusters, large model projects, and AI-driven product iterations, while reducing long-term investments in the metaverse business, which has yet to establish a clear commercial path.
Source: Public Information
ABAB AI Insight
This is not merely a "cost compression" but a strategic shift from "virtual space narrative" to "AI infrastructure". Reality Labs has invested heavily in physical and virtual experiences, but user scale, commercialization paths, and hardware ecosystems have not met expectations; meanwhile, Meta has seen considerable returns in AI advertising recommendations, generative advertising, multimodal models, and AI creation tools. The structure of the layoffs itself indicates that the company is no longer willing to bear long-term high losses for a "narrative vision" but is more willing to incur high capital expenditures for "priced AI capabilities".
From a capital structure perspective, Meta is mimicking the model of "cloud computing vendors": transforming the company into a "platform for AI models and computing power" rather than an "operator of a metaverse platform". Under this structure, layoffs from an HR perspective and server procurement from a capital perspective will occur simultaneously: fewer workers and more infrastructure may lead to a decline in apparent gross margins, but capital intensity and technological moats are rising. This model is considered "expensive and heavy" in the Buffett system, but in the AI cycle, it is one of the few reliable paths to support high valuations.
On a deeper level, this reflects the separation of the "Meta brand" from "Meta business": while there are still narrative expectations for the "metaverse" from the outside, management has internally reallocated resources to AI and core social products, completing a "capital recalibration" through layoffs, bonus cuts, and priority adjustments. In the future, what will determine Meta's valuation will no longer be how many virtual worlds the "metaverse cinema" has built, but rather the "AI-driven revenue per user and the commercial viability of the AI platform". In this regard, Meta's logic of "betting on AI foundations" is converging with that of Microsoft, Google, and Amazon, albeit with different starting paths.