The numbers behind Meta’s cuts
Meta is gearing up for a fresh round of large-scale layoffs, according to exclusive reporting from Reuters. Mark Zuckerberg’s company is primarily targeting employees who received below-expectations performance reviews, following a playbook the company has already used in previous rounds of cuts. Sources cited by the news agency say the layoffs could affect roughly 5% of the global workforce, which translates to about 3,600 people losing their jobs.
That number is significant on its own, but it hits even harder when you remember that since 2022, Meta has already eliminated more than 20,000 positions. The pattern keeps repeating: the company hires aggressively during periods of optimism, and when the bill comes due, the layoffs come full force. Mark Zuckerberg communicated internally that the goal is to retain only high performers, building a meritocracy culture that, in practice, works as justification for trimming the team without making it look like the real motivation is financial.
What makes this round different from the ones before is the context. In 2022 and 2023, layoffs at Meta were widely tied to the metaverse flop and declining ad revenue. Now, the picture has completely changed. The company is making more money than ever, posting record revenues quarter after quarter. So why cut people? The answer lies in the astronomical costs that the race for artificial intelligence is generating.
The company announced plans to invest between 60 and 65 billion dollars in 2025 alone on AI infrastructure, including the construction of massive new data centers and the purchase of cutting-edge chips. That level of investment puts pressure on profit margins and forces the company to find ways to offset the spending. And the fastest, most visible way to do that is by reducing payroll.
Affected employees are expected to receive notifications over the coming weeks, with compensation packages that include several months of salary and temporary extensions of health benefits. Still, for many of these people, the impact goes well beyond finances. The tech industry, which for years was synonymous with stability and generous salaries, is going through a transformation that leaves a lot of people feeling uncertain about the future. And the message Meta is sending is pretty clear: if the choice is between keeping people and investing in artificial intelligence, AI is going to win that fight every single time.
The race for artificial intelligence is taking its toll
To understand why Meta is making such drastic decisions, you need to look at the size of the bet the company is placing on AI. Developing Llama, the company’s family of language models, requires an absurd amount of computational power. Each new version of the model demands more GPUs, more electricity, more cooling for the servers, and more engineers specializing in machine learning.
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But while AI engineers are being fought over like gold in the job market, other professionals at the company — in areas like communications, human resources, operations, and even traditional software engineering — end up being seen as expendable in this new equation. The costs of training and running artificial intelligence models at scale are so high that companies like Meta have to make tough choices about where to allocate every available dollar.
Meta is not alone in this, and that might be the most concerning part. Google, Amazon, Microsoft, and practically every major tech company have gone through rounds of layoffs over the past two years, and in almost every case the justification involves, directly or indirectly, the need to redirect resources toward AI projects. What we are witnessing is a deep restructuring of the tech sector, where the number one priority has become artificial intelligence, and anything not directly connected to it is at risk of being cut.
The irony is that many of these companies are posting excellent financial results. Meta, for example, reported net income of more than 14 billion dollars in the last quarter of 2024. Even so, the pressure to maintain healthy margins while investing billions in infrastructure means the layoffs keep happening.
A strategic play with Wall Street in mind
There is also a strategic dimension that goes beyond simple cost reduction. By laying off employees in areas considered less of a priority and reallocating budget to AI, Meta is signaling to investors and the market that it is fully committed to this technology. On Wall Street, that kind of move tends to be well received.
The company’s stock climbed consistently throughout 2024, largely because the financial market believes the AI bet will generate massive returns in the medium and long term. In other words, the layoffs are not just a cost-containment measure — they are also a strategic positioning message that pleases anyone with money invested in the company.
This move reflects a logic that has become increasingly common among tech giants. The narrative that a company is investing heavily in AI raises its perceived value in the market, and any signal that this priority is being taken seriously — including cuts in other areas — tends to boost the stock price. It is a self-reinforcing cycle: the more the market rewards AI-driven decisions, the more companies feel incentivized to direct resources in that direction, even if it means sacrificing thousands of jobs along the way.
The impact on teams and Meta’s internal culture
Beyond the numbers and financial projections, there is a side effect of layoffs that rarely shows up in quarterly reports: the impact on morale among the employees who stay. When a company announces a round of layoffs based on performance reviews, the message that reaches those who survive the cut is one of constant pressure. Every review cycle turns into a kind of survival test, where the line between staying and getting fired can feel arbitrary.
Accounts from employees at various big tech companies who have been through similar situations show that the work environment tends to stay tense for months after a significant layoff. Trust between teams and leadership takes a hit, and many professionals who remain start looking for opportunities elsewhere, simply because the feeling of instability becomes unbearable. This creates additional turnover that, paradoxically, can end up costing the company more than keeping some of the people who were let go.
In Meta’s case, the situation is even more delicate because the company is simultaneously trying to attract top-tier AI talent. Highly skilled professionals in machine learning and deep learning have dozens of offers on the table at any given time, and a company’s reputation as an employer matters a lot when deciding where to work. An internal culture marked by frequent rounds of layoffs can push away exactly the type of talent Meta is desperately trying to hire 🤔.
What this means for people working in tech
If you work in tech or are planning to break into the industry, the current landscape demands extra attention. The layoffs at Meta are just the latest episode of a trend that has been building for at least two years. The profile of professional that big tech companies are looking for has shifted significantly.
Skills related to artificial intelligence, machine learning, data engineering, and cloud computing infrastructure are in high demand, while more generalist or support roles face increasing competition for a shrinking number of openings. That does not mean there is only room for people who work directly with AI, but understanding how the technology works and how it applies across different professional contexts has become practically a requirement for staying relevant in the job market.
Among the areas that remain hot, a few stand out:
- Prompt engineering and model fine-tuning — professionals who know how to optimize interactions with large language models are increasingly sought after;
- Data infrastructure and MLOps — anyone who understands data pipelines, model deployment in production, and performance monitoring has a guaranteed seat at the table;
- AI security and governance — with the increase in global regulation around artificial intelligence, specialists in compliance and AI ethics are gaining strategic importance;
- Experience design for AI products — interfaces that integrate generative AI need UX professionals who understand the particularities of this technology.
The ripple effect across the global market
Another important point is that layoffs are not limited to large American corporations. Tech companies in Brazil and across Latin America are also feeling the effects of this global reorganization. Startups that depend on investment rounds are finding it harder to raise capital, since a large share of venture funding is being directed toward AI-focused companies.
This creates a ripple effect that impacts the entire chain within the sector, from developers and designers to marketing and sales professionals. Smaller companies that cannot compete with the salaries big tech offers for AI professionals end up losing essential talent, which compromises their ability to innovate and grow. The market’s message is pretty straightforward: adapting is no longer optional — it is a basic condition for professional survival 💡.
In the Brazilian market specifically, the impact shows up in distinct ways. On one hand, demand for tech professionals remains high in sectors like fintechs, agritechs, and healthtechs. On the other hand, the downsizing of remote teams that worked for American companies is releasing a significant number of qualified professionals into the local market, which increases competition for positions and can push salaries down in certain brackets.
The human side that the numbers don’t show
Finally, it is worth reflecting on the human side of this whole story. Behind every number in a layoff report, there are people with bills to pay, families to support, and careers that were built over years. Meta may have solid financial and strategic reasons for making these cuts, but the impact on the lives of thousands of workers is real and significant.
The tech sector has always been known for hiring and firing cycles, but the speed and scale at which layoffs are happening now, driven by the rising costs of artificial intelligence, raise legitimate questions about sustainability and corporate responsibility. A company that profits billions per quarter and still lays off thousands of people sends a complicated message about what its true priorities are.
The exclusive Reuters report on Meta’s plans reinforces something that had already been taking shape behind the scenes: the era of artificial intelligence is reshaping not just products and services, but the very structure of the companies building it. The future of work in tech is being rewritten in real time, and keeping a close eye on these changes is essential for anyone who wants to navigate this landscape with more confidence and preparation.
