Simultaneous 'Largest Investment' and 'Organizational Streamlining'—The New Competitive Equation Revealed by Meta's AI Shift
In 2026, Meta invested the largest amount of capital in its history into AI while simultaneously conducting layoffs affecting hundreds of employees across multiple teams. This move, reported by The Information and Bloomberg, marks the second round of staff reductions this year, following a 10% cut in Reality Labs in January. Meta's action of 'simultaneously pursuing the largest capital expenditure and staff reductions in history' demonstrates to investors the logic of resource allocation in the Big Tech competition of the AI era.
1. The Current Layoffs—Scale and Scope
1-1. Multiple teams affected, including Sales, Recruiting, and Reality Labs
The current reductions span multiple teams, including Sales, Recruiting, and the Reality Labs division. The scale of the cuts is reported to be under 1,000 people, which is approximately 1% of Meta's total workforce (about 79,000 as of the end of 2025).
A Meta spokesperson stated, 'Meta's teams are periodically making organizational changes to ensure we have the optimal structure to achieve our goals. We are providing other positions to affected employees whenever possible.' Some employees will reportedly be offered other internal positions or opportunities for transfer or relocation.
1-2. Second round in 2026 alone—Concentrated cuts to Reality Labs
It is noteworthy that this is the second round of layoffs since the start of 2026. In January, 10% of the Reality Labs division, or about 1,000 people, were cut (as reported by the New York Times). Reality Labs is a division with approximately 15,000 total employees, meaning that with the monetization of the metaverse business taking time, over 1,000 people have been cut this year alone.
2. Background—The Contradiction with the 'Largest Investment in History' of up to $135 Billion in CapEx
2-1. 2026 CapEx Plan: $115–$135 Billion
The context that makes these layoffs particularly notable is that Meta has announced it is raising its 2026 CapEx to a record level of $115 billion to $135 billion during the same period. This figure includes massive investments in AI infrastructure (data centers, GPUs, and power infrastructure) and represents the largest annual capital expenditure in Meta's history.
This action of 'making the largest investments while cutting staff' may seem contradictory, but it is actually based on a clear strategic logic.
2-2. Shifting resources from 'people' to 'AI'
Similar to Atlassian (1,600 cuts) and Block (over 4,000 cuts), Meta is undergoing a structural shift toward 'organizational streamlining for AI investment.' This is a reallocation of resources where personnel costs previously used for tasks that AI can replace—particularly routine sales support and parts of the recruiting process—are being redirected toward AI investment.
However, the scale of the current cuts (under 1,000 people) is relatively small compared to Atlassian and Block, and for Meta, it is closer to an organizational 'fine-tuning.'
3. What the concentrated cuts to Reality Labs indicate
3-1. Shifting the center of gravity from the metaverse to AI
Reality Labs is a division that received significant investment between 2021 and 2023, but the monetization of its VR/AR business has been slower than anticipated. The continuous cuts since the start of 2026 can be read as a signal that Meta is further narrowing its resource allocation to Reality Labs and focusing on strengthening AI and social media advertising and engagement.
Mark Zuckerberg has repeatedly stated that '2025 is the year of AI,' and the focus on AI development, AI ad optimization, and AI recommendation engines continues. The 'selection and concentration' required for this is the essence of this organizational change.
4. Implications for investors
4-1. Increased CapEx is a cost pressure in the short term, but a revenue engine in the medium to long term
A CapEx scale of $115 billion to $135 billion could put pressure on profits in the short term through increased depreciation expenses. However, if AI-driven improvements in advertising accuracy, increased engagement, and monetization from new AI products progress, it has the potential to function as a revenue engine in the medium to long term. In evaluating an investment in Meta stock, the timeline of when and how this CapEx converts into revenue is a critical variable.
4-2. The 'Reduction x AI Investment' pattern is a trend across Big Tech
Following Atlassian and Block (reported previously) this week, Meta's layoffs indicate that the pattern of 'simultaneous personnel efficiency and AI investment' is becoming established across Big Tech. While this structural change supports demand for AI-related infrastructure companies (Nvidia, CoreWeave, power providers), it could also exert structural downward pressure on specific white-collar job categories.
Conclusion
Meta's latest layoffs should be positioned not merely as cost-cutting, but as a redesign of the organization for competition in the AI era. The simultaneous progression of the 'largest CapEx investment in history' and 'organizational slimming' is a clear signal that Meta is betting its future growth on AI. The continued reductions in Reality Labs are also a signal that the priority of the metaverse vision is declining. For investors, it will be important to monitor the progress of concrete monetization channels such as AI advertising and AI feed optimization while keeping a close eye on whether this CapEx leads to actual revenue growth.