Meta to move 7,000 employees into AI roles
Meta is not just cutting staff due to AI adoption, but also actively retraining employees for positions the company needs. The company plans to move more than 7

Meta announced a major workforce reskilling initiative: the company will transition over 7,000 employees to positions in the field of artificial intelligence. Instead of simply laying off part of its workforce due to AI technology implementation, the corporation chose to invest in retraining its own employees and expanding its AI divisions.
Reskilling Instead of Layoffs
Meta's initiative aims to give workers displaced by automation new opportunities for career development. Rather than laying off thousands of people and hiring new AI specialists on the market, the company decided to retrain its existing workforce. This approach requires significant investment in training, but allows the company to preserve employees' experience and knowledge of Meta's internal processes and culture.
Transitioned employees will gain access to comprehensive training and reskilling programs. The company will provide them with mentorship from experienced AI specialists, self-learning resources, and the opportunity to participate in real projects. New positions may be in both technical specialties and applied areas related to the implementation and support of AI systems in Meta's products.
Scale of Transformation
The figure of 7,000 employees demonstrates how seriously Meta is approaching the transition to an AI-first approach in its operations. This is a significant portion of the corporation's workforce, and the scale of this reskilling speaks to the company's confidence that AI will be a central element of its future strategy. Investing in retraining its own workforce reduces the risk of losing expertise and ensures a smoother and more manageable organizational transformation.
"Instead of cutting staff, we are developing new opportunities for our
employees" — this is exactly the logic behind the new initiative.
What Roles Will Open Up
- Development and optimization of AI models and algorithms
- Quality control and testing of AI systems in real-world conditions
- Management of AI infrastructure, cloud resources, and tools
- AI ethics, analysis of potential risks, and security management
- Integration of AI capabilities into existing Meta products and services
What This Means
This move by Meta demonstrates a fundamentally new approach to transformation driven by artificial intelligence development. Instead of the classic scenario where technology simply replaces people, the company is trying to repurpose and revalue existing human capital. For other companies facing a similar dilemma, this can serve as an example of how to minimize social and organizational disruption when implementing AI while maintaining competitive advantages in the innovative technology market.
*Meta has been recognized as an extremist organization and is banned in Russia.