According to Times of India, “Amid layoffs, Mark Zuckerberg’s Meta is asking engineers to use AI,” published in March 29,2026 the Meta layoffs and AI strategy requires engineers to increase AI-assisted coding while the company reduces headcount and restructures teams across divisions.
Meta layoffs and AI drive coding targets across teams
The layoffs and AI plan includes clear targets for AI-assisted coding. Some teams must reach up to 75% of their code written using AI tools. In core product divisions, engineers are expected to meet high adoption levels within 2026 timelines.
Different teams follow separate benchmarks. For example, machine learning units target 50% to 80% AI-assisted coding. Earlier companywide goals already required more than half of code changes to involve AI tools.These targets show how Meta is integrating automation into software development.
Meta AI tools engineers adoption expands across roles
he Meta layoffs and AI approach also focuses on increasing usage of Meta tools engineers rely on daily. The company aims for 80% of mid-to-senior engineers to adopt tools such as Gemini, DevMate, and Metamate.
Performance systems now track AI-driven output rather than simple usage. Employees must highlight AI contributions during reviews. Internal tools like an AI Performance Assistant support this process.
This shift aligns employee evaluation with AI adoption goals across the company.
Restructuring Aligns with Meta Layoffs and AI Strategy
The layoffs and AI push also includes organisational restructuring. A division within Reality Labs has moved to smaller teams called pods. Employees now hold roles such as AI Builder, AI Pod Lead, or AI Org Lead.
This structure reduces hierarchy and allows engineers to take on multiple functions, including design tasks. Leadership has also strengthened AI initiatives, with CTO Andrew Bosworth leading the “AI for Work” programme. At the same time, Meta has reduced staff across several divisions, including Reality Labs and recruitment teams.
Workforce changes reflect automation shift
The Meta layoffs and AI trend highlights a broader shift in workforce strategy. The company is reducing team sizes while increasing reliance on automation tools. Engineers now handle more work with AI support.
Leadership has indicated that AI could replace tasks that previously required larger teams. This approach reflects changes in how companies manage productivity and resource allocation.
