Meta is cutting approximately 8,000 jobs on May 20, while also eliminating around 6,000 open positions as the company continues to restructure its workforce.
This latest round of layoffs comes as Meta ramps up its spending on artificial intelligence infrastructure, with plans to invest up to $145 billion this year.
This comes shortly after the company announced it is building Hatch, a new AI agent designed to live inside Instagram
Company executives have openly admitted they are unsure about the ideal size of the organization due to the rapid advancement of AI technologies.
During the Q1 earnings call, Meta’s Chief Financial Officer Susan Li stated that she “doesn’t really know” what the right headcount for the company should be because AI is changing operations so quickly.
Chief People Officer Janelle Gale also told employees that more cuts could be possible, noting that priorities continue to shift in a highly competitive environment.
CEO Mark Zuckerberg was even more direct in a recent town hall, telling staff that he does not have a clear long-term plan for the company’s workforce size, saying, “I wish that I could tell you that I have a crystal ball… I don’t.”
Why Meta is Cutting Jobs
The company has described the layoffs as an “offset” to its enormous AI spending. While Meta is heavily investing in building powerful AI systems, it is simultaneously reducing human roles that can be automated or made more efficient through technology.
This situation reflects a broader trend in Big Tech, where companies are investing billions in AI while shrinking traditional workforces.
For many employees, the uncertainty has created anxiety, especially as Meta continues to hire aggressively in AI-related fields even while making cuts elsewhere.
The move has sparked discussions about the future of work in the tech industry.
As AI capabilities improve at a fast pace, many companies are rethinking how many people they actually need in various departments.
For users and advertisers, Meta’s focus on AI could lead to smarter platforms, better content recommendations, and more efficient advertising systems in the long run.
However, the human cost of these rapid changes is becoming increasingly visible.
This latest development at Meta highlights the double-edged nature of the AI revolution: massive investment and innovation on one side and significant job uncertainty on the other.