Meta to lay off 10% of employees while pouring billions into artificial intelligence
Meta officially confirmed on Thursday that it will lay off roughly 10% of its global workforce, which amounts to approximately 8,000 people. The information came through an internal memo signed by Janelle Gale, the company’s chief people officer, and was published by Bloomberg. The company confirmed the contents of the memo to CNN.
And it doesn’t stop there: the company is also closing around 6,000 open positions, meaning the real impact on headcount is even larger than the layoff number alone suggests at first glance.
All of this is set to take effect on May 20.
But why is one of the biggest tech companies in the world cutting so many people at once?
The short answer: artificial intelligence.
The longer answer involves billions of dollars in investments, a fierce technology race, and a bet that the future of work is going to look quite different from what we know today.
Below, we break down the logic behind this decision, how much money is on the line, and what it all means for the tech industry as a whole. 👇
What is behind the layoffs at Meta
When a company the size of Meta announces mass layoffs, the gut reaction for a lot of people is to think something went wrong — that business tanked, that profits dropped. But the reality here is quite different. The company founded by Mark Zuckerberg is actually in the middle of one of the biggest strategic transformations in its history, and that transformation runs directly through a radical bet on artificial intelligence. The headcount reduction is not a symptom of crisis — it is part of a calculated plan to reallocate human and financial resources toward what the company believes is the next great technological leap.
In the internal memo, Janelle Gale was straightforward about the motivation:
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We are doing this as part of our ongoing effort to run the company more efficiently and to allow us to offset the other investments we are making.
The decision to lay off approximately 8,000 employees and close around 6,000 open positions was communicated internally with a clear message: Meta wants to become a leaner, more agile organization that is far more driven by technology than by headcount. Zuckerberg had already signaled earlier this year that the company would go through significant workforce changes because of technology. During the January earnings call, he called 2026 the year AI starts to dramatically change the way we work.
A quote from Zuckerberg on that same call sums up the philosophy behind the cuts pretty well:
We are starting to see projects that used to require large teams now being accomplished by a single very talented person.
That includes hiring highly technical profiles, especially AI engineers and researchers, while scaling back areas considered less strategic for the company’s new direction.
It is worth noting that this is not the first time Meta has gone through a significant round of layoffs. In 2022 and 2023, the company had already eliminated tens of thousands of positions, in reductions that were largely attributed to a right-sizing adjustment after the pandemic-era peaks in usage and hiring. Last year, the company also cut about 5% of the employees it classified as lowest performers, although it had planned to reopen many of those roles later. The pattern is repeating now with an even more specific context: the race for dominance in generative artificial intelligence, which is redefining the business models of virtually every big tech company around the world.
Billions in artificial intelligence: where the money is going
While thousands of people are getting the news of their departure, Meta is moving staggering sums in the opposite direction: heavy investments in artificial intelligence infrastructure. The numbers are jaw-dropping.
In 2025, the company spent $72.2 billion in capital expenditures, costs tied to data centers, and other AI infrastructure. And that number is expected to grow significantly: Meta reported in its January earnings that it expects to invest at least $115 billion in 2026. To put that into perspective, that is more than the GDP of several mid-sized countries. This is money going directly into chips, servers, electricity, and of course the technical talent needed to operate all of it.
Beyond infrastructure, the company has also been investing heavily in acquisitions and talent. Meta has been hiring for its superintelligence lab and acquired AI startups that have been generating plenty of buzz in the market, such as Moltbook and Manus, as part of its ongoing efforts to compete with OpenAI and other major players in the space.
A significant portion of that budget is being directed toward the development of the Llama family of models, which is Meta’s open-source bet in the large language models market. The company has been positioning Llama as an accessible and powerful alternative to the closed models from competitors like OpenAI and Google, and this has been driving growing adoption from both independent developers and large corporations that want to implement AI without relying on proprietary APIs. This strategic move puts Meta in an interesting role: while it is a consumer platform, it is also establishing itself as AI infrastructure for the broader market.
Beyond language models, Meta’s investments also cover the development of artificial intelligence agents that promise to automate tasks within the company’s own platforms, including Facebook, Instagram, and WhatsApp. The idea is that these agents can act as advanced virtual assistants, capable of interacting with users, moderating content, personalizing experiences, and even supporting businesses that advertise on the platforms. If this works at the scale the company projects, the impact on operational efficiency could be enormous — and it justifies, at least from leadership’s perspective, the need to reduce headcount in areas that will be progressively automated.
Efficiency as Meta’s core strategy
The word efficiency has become almost a mantra inside Meta over the past two years, and this latest round of layoffs confirms the company is not treating it as empty talk. The operational logic behind the decision is fairly straightforward: if artificial intelligence can handle tasks that previously required entire teams, it makes sense to redirect the personnel budget toward areas where human impact is still irreplaceable — things like cutting-edge research, product strategy, and the development of new models. That equation, while tough for those on the receiving end of the cuts, is being adopted by more and more major tech companies worldwide.
From a financial standpoint, the strategy has been working. After the 2022 and 2023 cuts, Meta posted consistently positive quarterly results, with higher profit margins and strong growth in digital advertising revenue. The stock market responded favorably, and institutional investor confidence in the company increased. That recent track record gives Zuckerberg a kind of mandate to repeat the move now, with the difference being that this time the narrative is even more centered on the race for AI leadership, which adds an extra layer of urgency and justification for the decisions being made.
However, the market did not react unanimously this time around. Meta shares (META) dropped more than 2% on Thursday afternoon, suggesting that some investors are still evaluating whether the aggressive pace of AI spending will actually translate into proportional returns in the medium term.
What is really at stake here is a bet on how companies will operate going forward. Meta is signaling that it believes in a model where smaller teams — but ones that are far more technically capable and supported by artificial intelligence tools — can deliver more than large teams with traditional structures. If that bet pays off, other industry giants will likely follow similar paths, and the impact on the tech job market could be far deeper than these initial numbers suggest. 🤖
Compensation package for affected employees
Meta said that affected employees in the United States will receive a package that includes 16 weeks of base pay, plus two additional weeks for each year of service at the company. The company also mentioned that international packages will be similar to what is being offered in the U.S.
While the amounts are not insignificant, especially for employees with many years at the company, the reality is that the tech job market is going through a period of significant uncertainty. Thousands of professionals from major companies are being let go at the same time, which increases competition for available positions and could put downward pressure on salaries in certain areas of the industry.
On the other hand, Meta signaled that it will continue actively hiring in areas related to artificial intelligence, which opens doors for professionals who are willing to reskill or who already have experience in that space.
A trend that goes well beyond Meta
Meta’s decision does not exist in a vacuum. It comes at a time when companies like Google, Amazon, Microsoft, and many others are also reviewing their staffing structures with a keen eye on artificial intelligence investments.
Recent examples are quite revealing of this trend:
- Amazon announced in January the layoff of 16,000 workers, its second round of large-scale cuts in just three months, emphasizing the need for efficiency.
- Fintech company Block announced in February a cut of 40% of its workforce — more than 4,000 people — accompanied by a direct warning that more companies would follow the same path.
The industry as a whole is going through a deep reconfiguration, where intelligent automation is redefining which roles make sense to keep, which need to evolve, and which will simply cease to exist in the coming decades. Meta’s cuts are, in that sense, a reflection of a much larger trend that is taking shape across the entire industry.
For tech professionals, this landscape brings both challenges and opportunities. On one hand, more operational and repetitive roles are under real pressure from automation. On the other, demand for people who understand artificial intelligence, who know how to work with language models, and who can integrate AI systems into real products has never been higher. Meta itself has already signaled plans to actively hire specialized profiles in these areas, even as it carries out cuts on other fronts. This creates a job market that is simultaneously more restrictive in some areas and hotter than ever in others.
What to expect going forward
The impact of this move extends well beyond Meta’s own borders. When a company with this kind of visibility and track record of innovation makes such a clear and expensive bet on artificial intelligence, it essentially sends a signal to the entire market about which direction to follow. Investments, talent, research, and industry attention are likely to concentrate even more around generative AI and advanced language models.
The acquisition of startups like Moltbook and Manus, combined with the construction of a lab dedicated to superintelligence, shows that Meta is not just reacting to the competition. The company is trying to set the terms of the race, positioning itself as a serious alternative to OpenAI and consolidating an open-source strategy that could shift the balance of power in the AI ecosystem.
For anyone following the industry closely, the message is clear: the era of generative AI is accelerating at a brutal pace, and companies that cannot adapt to this new speed will be left behind. Meta chose to bet big, even if it means making tough decisions in the short term. Whether the projected $115 billion-plus investment for 2026 will actually deliver the expected returns, only time will tell. But one thing is certain: the technology landscape is changing fast, and these changes will shape — in very concrete ways — how technology evolves over the coming years, both in the products we use every day and in how companies are organized and run. 🚀
