Meta has implemented a workforce reduction affecting approximately 600 positions related to artificial intelligence , a move the company hopes will accelerate decision-making and reduce internal bureaucracy. The measure, part of the reorganization of Superintelligence Labs , aims to create more compact teams with fewer hierarchical layers and greater individual accountability.
Internal sources and media outlets such as Axios and CNBC indicate that the cuts will impact infrastructure , research, and product functions, while the newly created TBD Labs will remain unaffected and continue to attract top talent. The company emphasizes that the intention is to optimize the structure and focus efforts on higher-impact projects.
What's changing in the AI ​​organization
Meta is concentrating its R&D efforts under Superintelligence Labs , led by Chief AI Officer Alexandr Wang and supported by high-profile figures within the ecosystem. The goal is to eliminate redundancies, streamline technical governance, and expand the team to around 3.000 people , enabling faster implementation.
According to internal memos cited by the press, the affected teams include AI infrastructure , FAIR basic research , and functions associated with product development. The company argues that with fewer intermediaries, decisions will be made more quickly and each engineer will gain autonomy and impact.
- AI infrastructure and platforms.
- Fundamental Research (FAIR).
- AI teams linked to product functionalities.
Meanwhile, TBD Labs —a hub for strategic hiring and cutting-edge models—remains unaffected by the cuts. This group, which has added talents like researcher Ananya Kumar recruited from OpenAI, will continue to drive research lines considered critical to Meta's future.
Conditions for staffing and relocation
The affected employees have received formal notification and will be offered severance packages that include a fixed amount plus additional weeks of service based on seniority , according to internal documents cited by the media. The company has opened internal mobility pathways so that those who wish to can apply for available positions in other departments.
During the notice period, Meta will withdraw access to internal systems and will not require operational tasks, encouraging professionals to explore alternative roles within the organization. The company emphasizes that the restructuring is a strategic realignment, not an abandonment of its commitment to AI.
Strategy, competition and investments
Management links this adjustment to the push for a "small teams, quick decisions" work model, which builds on the so-called year of efficiency initiated after more than 21.000 job cuts since 2023. The priority now is to accelerate the integration of its models into consumer products and tools for creators.
In terms of products, Meta focuses on chatbots and assistants for WhatsApp, Messenger, and Threads , as well as AI-powered creative features for Facebook and Instagram. The goal is to translate its research into tangible improvements for the end user and sustainable monetization drivers in a highly competitive environment.
In terms of models, the lukewarm reception of Llama 4 has prompted a strengthening of the technical team and an acceleration of delivery cycles. The addition of new leadership aims to streamline the roadmap and concentrate resources more effectively on differentiating capabilities.
The strategy is supported by massive investments in infrastructure, including the Hyperion data center in Louisiana , valued at around $27.000 billion and designed to scale to several gigawatts. This deployment will be key to training large-scale models and sustaining computing demand in the coming years.
Impact on market and Europe
Following the announcement of the cuts, Meta's shares fell by around 1,8% in pre-market trading , amid volatility in the tech sector due to earnings season. Analysts anticipate that team consolidation and the elimination of overlapping roles could improve margins in the medium term.
Despite the cuts, Meta insists it will continue hiring in key areas such as machine learning, data science, and AI security . In Europe, partners and local teams are closely monitoring the progress of this global reorganization and how the product priorities will be implemented in each market.
Meta's repositioning—with 600 job cuts in its AI division, a reorganization under Superintelligence Labs, and the continuation of TBD Labs—aims to reduce friction, accelerate delivery, and focus investment on what performs best. If the company achieves this balance between speed, focus, and cost control, its AI strategy could gain momentum in both product development and deployment in the coming quarters.
