As Meta prepares to cut 10% of its workforce on Wednesday, the company is trying to provide some clarity to employees stuck in layoff limbo. Meta HR chief Janelle Gale posted an internal memo on Monday outlining what employees should expect, according to two employees who viewed the note.
Gale said notifications of the layoffs, which are expected to eliminate around 8,000 roles, will be sent in three waves at 4 a.m. local time across different regions. She also noted that managerial positions would be slashed across the company to create flatter organizational structures. "We're now at the stage where many orgs can operate with a flatter structure with smaller teams of pods/cohorts that can move faster and with more ownership," Gale wrote.
Crucially, Gale revealed that Meta will reallocate more than 7,000 employees to work on new AI initiatives critical to Meta's future success—projects that the company previously could not prioritize. Leaders across the company will announce these organizational changes alongside the layoffs. Some teams within Meta's Reality Labs have already begun reorganizing into smaller, agile pods.
The update comes at a time when morale at Meta has taken a significant hit, with staff in a "holding pattern" waiting to learn their fate. Meta is spending billions in the AI race, forecasting its 2026 capital expenditures to range between $125 billion and $145 billion. Leadership has not ruled out further job cuts beyond this week's 10% round.
[AgentUpdate Depth Analysis] Meta's aggressive restructuring highlights a pivotal shift toward an "Agent-First" organizational blueprint. Reallocating over 7,000 employees to AI and flattening management into smaller, agile pods mirrors the high-density, high-efficiency structure of native AI labs like OpenAI and Anthropic. This layout is tailor-made for the AI Agent era, where rapid orchestration, prompt iterations, and autonomous workflow development demand cross-functional autonomy rather than hierarchical approvals. By embedding AI-focused pods deeply into Reality Labs and Meta's core social apps, Meta is setting up a highly integrated pipeline to accelerate the deployment of Llama-powered Agents. Ultimately, this hard pivot guarantees that Meta remains a dominant infrastructure provider and application runtime in the rapidly evolving global AI Agent ecosystem, proving that organizational agility is as vital as compute power.
