As Meta shrinks traditional divisions to inject billions into AI, one question remains: is your profession safe?
In this read, you will understand:
• Why teams of 10 people are being reduced to just 1 or 2 specialists;
• The areas with thehighest risk of automation according to Meta’s latest moves;
• Where the company isinvesting US$ 135 billion in infrastructure.
Meta Platforms has initiated a new round of layoffs this week, intensifying its internal restructuring to prioritize artificial intelligence.
The cuts took place on Wednesday, March 25, 2026, affecting hundreds of employees in areas such as recruiting, sales, Facebook, and especially the Reality Labs division.
According to The New York Times, around 700 employees were affected, with a direct impact on the unit responsible for developing the metaverse.
Cuts are part of a structural shift
According to the Reuters agency, the company had already been signaling “sweeping layoffs” throughout 2026. There are projections that the cuts could reach up to 20% of the workforce, which would represent around 15,800 people — the largest downsizing since 2022, when approximately 11,000 employees were laid off.
In its most recent report, Meta had around 79,000 employees as of December 31.
A company spokesperson stated:
“Meta’s teams regularly restructure to achieve their objectives. Whenever possible, we seek other opportunities for affected employees.”
Meta Platforms is investing millions to hire the best AI talent, prioritizing highly qualified technical professionals even amid layoffs.
Recent history of layoffs
The current cuts are not isolated. In January 2026, the company had already eliminated around 1,500 positions in Reality Labs. Before that, in October 2025, another 600 roles linked to AI infrastructure were cut, in addition to earlier reductions in teams such as Oculus Studios.
These moves show a clear trend: reduction of traditional areas and a focus on advanced technology.
AI at the center of Meta’s strategy
CEO Mark Zuckerberg has been direct about this transformation. In a recent post, he stated:
“I believe 2026 will be the year AI begins to dramatically change the way we work.”
Zuckerberg highlighted that the company is investing in “AI-native tools” to increase productivity, to the point where projects previously executed by large teams are now being carried out by a single highly qualified individual.
Billion-dollar investments and the future
Despite the cuts, Meta is expanding its investments. The company projects spending between US$ 115 billion and US$ 135 billion in 2026, mainly on data centers, servers, and AI infrastructure.
In addition, the company is also considering offering internal relocation or employee transfers as alternatives to layoffs.
This move reinforces a global trend: fewer large teams and more highly specialized professionals, in a scenario increasingly dominated by artificial intelligence.
📊 What’s behind Meta’s cuts (according to experts)
Recent cuts at Meta Platforms are not isolated — they are part of a structural shift in the labor market driven by AI.
Experts and analysts highlight three main factors:
• AI increases productivity → fewer people are needed
• Companies are replacing large teams with smaller, highly technical ones
• Repetitive and operational functions are being automated
Meta executives themselves have already indicated this direction, with the creation of leaner and more efficient teams — the so-called “AI builders”.
Industry executives, such as Sam Altman, indicate that artificial intelligence is allowing fewer professionals to perform tasks that previously required larger teams, increasing productivity.
This explains why the cuts:
• affect areas such as recruiting, operations, sales, and Reality Labs
• occur at the same time the company is investing billions in artificial intelligence
👉 In other words: this is not just about cost reduction, but a structural replacement driven by technology.
⚠️ Professions most at risk with AI
Based on recent analyses, including Meta’s own case, some areas appear to be more vulnerable:
🔻 High risk
• Recruitment / HR
• Customer service
• Administrative functions
• Operations and support
• Operational sales
• Middle management
Reason: these are repetitive, predictable, process-based roles that are easier to automate.
🔺 Low risk (or in high demand)
• AI engineers
• Data scientists
• Machine learning specialists
• Infrastructure architects
• Hybrid professionals (AI + business)
Reason: these are professionals who create, control, or interpret artificial intelligence, becoming increasingly essential.
📌 Conclusion: Meta’s layoffs are a direct reflection of a new era in the labor market — where artificial intelligence not only transforms roles, but redefines which professions will continue to exist.
Sources consulted:
• The New York Times: Meta Layoffs and AI Strategy
• Reuters: Meta Planning Sweeping Layoffs as AI Costs Mount
• Pymnts: Meta Weighs Widespread Layoffs as AI Spending Grows
• Reuters Business: Meta Plans to Cut Employees in Reality Labs | Meta Expects Annual Capital Expenditures to Rise
• Times of India: Sam Altman on AI and the Future of Work