Meta Reassigns 7,000 Employees to AI Initiatives Amid Layoffs Meta is reshaping itself around artificial intelligence, simultaneously cutting thousands of jobs and drafting thousands more into new AI roles, leaving its workforce split between relief and uncertainty.

Early restructuring plans and CEO warning

In an internal memo dated 20 May, CEO Mark Zuckerberg told staff that Meta would lay off about 8,000 employees, roughly 10% of its global workforce, as part of a broad restructuring and flattening of the company’s management layers. He framed the overhaul around a bet on artificial intelligence, calling AI “the most consequential technology of our lifetimes” and warning that “success isn’t a given,” as Meta races rivals like OpenAI and Google.

Alongside the cuts, around 7,000 employees were earmarked to move into AI-focused initiatives, with leadership incorporating “AI native design principles” into new, leaner team structures built around smaller pods and cohorts.

Layoff emails and the AI “draft”

On the Wednesday when layoff notices went out to 8,000 workers, another 7,000 employees received a different message: they had been reassigned to a new AI initiative created directly by Zuckerberg and billed as crucial to accelerating Meta’s position in the AI race. Many learned they were being moved into an Applied AI (AAI) group, led by engineering vice president Maher Saba and reporting to CTO Andrew Bosworth, or into teams focused on AI agents, such as the “Agent Transformation Accelerator” and “Agent Data and Optimization.”

Internal emails framed the move as a reward, telling recipients it was “a reflection of your impact” and that they had been identified as people who could “make a real impact on this team.” Yet employees described the experience as being “drafted,” with one saying “I got drafted” and another responding “Welcome to the draft” in a Discord server where staff discussed the changes.

Diverging employee reactions

Meta’s leadership presents the restructuring and AI push as a way to move faster, boost productivity, and make work “more rewarding” in flatter, AI-native teams. For workers spared from layoffs but reassigned, the shift is a lifeline that still comes with anxiety and confusion over new roles that some expect will lean heavily on data labeling and model training tasks.

With Meta having cut roughly 25,000 jobs over four years and doubled planned capital spending on AI infrastructure for 2026, the company’s latest moves intensify a high-stakes gamble: that reorganizing a fifth of its workforce around AI will secure its place in the next generation of tech — even as many employees feel they had little choice but to follow.

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