Meta CEO Mark Zuckerberg reportedly told employees that the company has made mistakes as it reorganizes parts of its workforce around artificial intelligence, a shift that has brought layoffs, transfers and fresh uncertainty inside one of the world’s largest technology companies.
The comments were described in a Reuters report on an internal memo. Meta has not publicly released the memo, so the details should be understood as reported internal remarks rather than a public company statement.
According to the report, Zuckerberg told staff that the scale and complexity of the changes made errors likely. He was quoted as saying that, given the complexity involved, Meta has made mistakes and will probably make more. He also reportedly said he was focused on giving employees as much stability as possible, while cautioning that the broader technology landscape is changing in ways outside the company’s control.
The remarks come as Meta puts more money and attention behind AI infrastructure, AI tools and new internal uses for AI. The company is competing with other major technology firms, including OpenAI, Google and Microsoft, while also examining how AI agents could handle work that people currently perform.
AI Push Reshapes Meta’s Workforce
The restructuring described in the report follows earlier job cuts and role changes at Meta. Reuters reported that the company laid off roughly 10% of its global workforce in May and moved about 7,000 employees into AI-focused initiatives.
Zuckerberg reportedly told employees that Meta does not expect additional company-wide layoffs this year. Because the comments came from an internal memo described by Reuters, the claim has not been independently confirmed through a public announcement from Meta.
The report also said Meta will try to find new roles for some employees who were moved into work related to training AI models. Zuckerberg was quoted as saying that creating new roles gave the company more flexibility to shrink teams while still being able to move people back if parts of the restructuring did not work as intended.
That message points to the difficult balance Meta is trying to strike: cutting or flattening some teams while building new capacity around AI. The company’s leaders have framed AI as central to future products and operations, but the workforce changes show how costly and disruptive that transition can be.
What The Report Says About The Scale
Reuters reported that the restructuring, together with earlier transfers and role eliminations, is expected to affect about 20% of Meta’s workforce. The figure describes the estimated reach of the changes, not necessarily a single layoff round.
Meta employed nearly 78,000 people as of the end of March, according to company securities filings cited in the report. That headcount gives a sense of how widely even a partial restructuring can ripple across the business.
The changes are tied to Meta’s broader effort to organize more of the company around AI. The report said Meta has invested billions of dollars in AI infrastructure and tools as it races to keep pace with rivals. It also said the company has explored using AI agents for tasks now handled by employees.
Those claims are best read with caution unless Meta provides more detail publicly. The general direction is clear from the company’s public emphasis on AI, but the specific internal plans described in the report remain based on reported memo content and people familiar with the matter.
Why Zuckerberg’s Comments Matter
Zuckerberg’s reported acknowledgment matters because it speaks to the strain that large AI transitions can place on workers, not just on budgets or product roadmaps. Companies investing heavily in AI often describe the technology in terms of productivity and speed. Inside a workforce, the same shift can mean reassigned teams, changed expectations and questions about which roles will remain necessary.
Meta’s situation also shows how AI spending and workforce planning are increasingly linked. Building advanced AI systems requires expensive computing infrastructure and specialized teams. At the same time, companies are under pressure to show that those investments can improve efficiency.
The report does not establish that AI alone caused the job cuts, and it does not provide a full picture of Meta’s internal decision-making. What it does show is that Meta’s AI strategy is no longer only a product or research story. It is also an organizational one, affecting how teams are structured and how employees are asked to work.
For employees, the most immediate question is whether the company’s promise of stability can hold while the AI push continues. Zuckerberg reportedly tried to temper expectations, saying he did not want to overpromise because the world is changing in ways outside Meta’s control.
That caveat may be the clearest part of the message. Meta is moving quickly toward AI, but the company appears to be acknowledging that the transition will be uneven, and that not every internal decision will land cleanly on the first try.