Mark Zuckerberg used employees for AI training just before layoffs
Intelligence Summary
- Mark Zuckerberg revealed that Meta used employees for AI training just before mass layoffs.
Mark Zuckerberg says he used employees for AI training just before layoffs
Mark Zuckerberg, CEO of Meta, recently made controversial remarks during an internal meeting, revealing that employees’ skills were unknowingly used to train an AI model just before the mass layoffs took place. The revelation came at a time when tensions among staff were already unbearable.
Layoff announcement
On 23 April 2026, Meta announced that it would cut 10 percent of its workforce, amounting to nearly 8,000 employees. The company also said it would close 6,000 open positions. Workers were informed 28 days in advance about the upcoming layoffs, leading to a period many employees described as “28 days from hell.”
Zuckerberg’s inappropriate remarks
During a meeting on 30 April, after the layoff announcement, Zuckerberg spoke about how AI models were being trained using the behavior of his employees. He claimed that observing “smart people” was crucial to improving the AI models. That made the comments even more painful in light of the impending layoffs. Employees questioned how they were being monitored, and the context of his remarks came across as deeply inappropriate and awkward.
The mass layoffs
On 20 May 2026, the 8,000 employees were officially laid off. The notices were delivered globally, with employees in the US advised to work from home until the end of the week, likely to avoid awkward reactions in the office. That meant anyone who showed up at the office could be in for an unpleasant surprise.
Timeline
23 April 2026: Meta announces that 10 percent of its workforce will be laid off.
30 April 2026: Zuckerberg makes inappropriate remarks about training AI with employees’ skills during an internal meeting.
20 May 2026: The mass layoffs are carried out and nearly 8,000 employees are let go.
Meta’s push to develop AI models is now marked by extraordinary investment, estimated at between $125 billion and $145 billion. Critics question the viability of that strategy, especially given the company’s history with earlier technologies such as virtual reality initiatives and the Metaverse.
Using employees to train AI and then laying them off has not only raised ethical questions, but also highlighted the creation of an uncertain and anxious workplace at Meta. The future of Meta’s AI efforts now depends on a fragile balance between staff, investment, and technology.
