According to recent reports, Meta, the company behind social media platforms like Facebook and Instagram, is working on a significant workforce reduction. The first round of layoffs at Meta will affect about 8,000 people and could happen as soon as May 20, 2026.
Reuters reports that Meta plans to lay off about 10% of its global workforce in this first round. This is part of a trend that has been seen throughout the industry. So far in 2026 alone, more than 73,000 tech workers have lost their jobs so far in 2026.
However, the situation seems different from that of the “year of efficiency” in 2023. The latter was mainly a response to post-pandemic financial struggles. Meanwhile, this current move comes from a position of relative strength. Goal generated over $200 billion in revenue last year, but leadership is now pivoting resources toward a massive, multi-billion-dollar investment in artificial intelligence.
AI: The new recruiter and manager?
The logic behind these cuts is closely tied to the evolution of AI agents. Meta has already started changes in the operation of its internal structure. For example, it has moved engineers into a new “Applied AI” division to develop autonomous tools capable of writing code and managing complex tasks.
Executives are keeping a close eye on these AI developments. They want to determine the scope of a second wave of layoffs planned for the latter half of 2026. If the technology proves as potent as expected, the total reduction in headcount for the year could reach 20% or more.
Mark Zuckerberg’s AI clone
Meta is also experimenting with new ways to maintain a connection between leadership and the remaining staff. Reports indicate the company is developing an AI clone of Mark Zuckerberg. This digital persona of the CEO, trained on his past statements and voice, would be able to talk to employees, answer their questions, and give them advice in Zuckerberg’s tone.
Meta is far from alone in this strategy. Industry giants like Amazon have recently trimmed 30,000 corporate roles, while firms like Block have seen even deeper cuts. In all cases, leadership has pointed out the efficiency gains provided by artificial intelligence as the main reason.
