Meta faces major layoffs amid record profits and plummeting employee morale

**Layoffs Loom as Meta Prepares Its Biggest Workforce Cut in Years**

Meta is preparing to eliminate roughly 10 percent of its global workforce, with the cuts scheduled to take effect around May 20, 2026. The reduction represents one of the company's most sweeping headcount reductions in recent memory, coming at a moment when Meta's financial performance is, by nearly every external measure, exceptional. The company has posted record-high profits, its advertising business has rebounded strongly, and its stock has climbed sharply from the lows of 2022's so-called "Year of Efficiency" — the period when Mark Zuckerberg first began aggressively trimming costs and restructuring the organization around artificial intelligence priorities.

The paradox at the heart of the situation is striking: a company generating enormous wealth for its shareholders is simultaneously generating what current and former employees describe as historically poor morale on the inside. More than a dozen people inside Meta or recently departed from it have described a workplace atmosphere of anxiety, frustration, and disillusionment. The sentiment circulating internally is that virtually no one below the executive level feels good about where things stand, even as the company's headline numbers have never looked better.

**"Everyone Is Unhappy": The Internal Mood at Meta**

The emotional tenor inside Meta has become a story of its own, separate from the mechanics of the layoffs themselves. Employees across multiple divisions — including Instagram, where some of the most pointed frustrations have been voiced — describe a working environment defined by uncertainty and low trust. The core complaint is not simply that jobs are being cut, but that the cuts are happening in a context that feels arbitrary or disconnected from individual or team performance. When a company is profitable and growing, layoffs tend to carry a particular sting, since they cannot be explained away by financial necessity in the way they might be at a struggling firm.

The cultural shift inside Meta over the past several years has been significant. Zuckerberg spent 2023 and 2024 publicly framing efficiency as a core value and repositioning the company around AI development, messaging platforms, and the continued buildout of the metaverse-adjacent hardware and software ecosystem. That repositioning required not just headcount reductions but a fundamental change in how Meta thinks about its workforce — less as a collection of long-term builders and more as a pool of talent to be sized dynamically based on shifting strategic priorities. For employees who joined Meta during the period of explosive growth and relatively flat management hierarchies, the transformation has been jarring.

Executives, by contrast, appear insulated from the anxiety gripping the broader workforce. The perception that leadership is operating in a different emotional and financial reality than rank-and-file employees has sharpened the internal divide. Stock compensation for senior leaders has grown substantially as Meta's share price recovered, meaning the people least affected by uncertainty are also those benefiting most from the company's financial resurgence.

**AI as Both the Cause and the Justification**

Artificial intelligence sits at the center of the strategic rationale for the cuts. Zuckerberg has made no secret of his ambition to make Meta one of the defining AI companies of the decade, and the layoffs are widely understood internally as part of a reallocation of resources toward AI research, infrastructure, and product development. The company has been investing aggressively in building its own large language models under the LLaMA family, developing AI-powered features across Facebook, Instagram, and WhatsApp, and constructing the data center capacity needed to train and serve increasingly large models.

The argument from leadership is essentially that the workforce composition needs to change, not just shrink — that certain roles and teams built for a previous era of social media growth are less relevant in an AI-first product environment. This framing does little to comfort employees whose positions are being eliminated, particularly those who joined to work on products that are now being deprioritized or folded into AI-driven workflows.

There is also a broader industry dynamic at play. Meta is watching competitors like Google and Microsoft integrate AI deeply into their core products and is acutely aware that falling behind in model capability or product deployment could erode its advertising dominance. The pressure Zuckerberg feels from that competitive landscape is being transmitted downward through an organization that is simultaneously being asked to do more with fewer people.

**The Tension Between Performance and Culture**

What makes the current moment at Meta genuinely unusual is the collision between two things that rarely coexist: robust financial health and severe internal discontent. Typically, high profits buy goodwill inside a company — through bonuses, hiring, expanded perks, and a general sense that the organization is winning. At Meta in 2026, the profits are real but the goodwill has evaporated.

Part of the explanation lies in the cumulative effect of repeated restructuring. This is not Meta's first round of significant layoffs — the 2022 and 2023 cuts eliminated thousands of positions and fundamentally changed the social contract employees felt they had with the company. Each successive reduction has made it harder for employees to feel secure regardless of their performance reviews or tenure. When layoffs become a recurring feature of a company's operations rather than a crisis response, they reshape how people think about their relationship to the employer in lasting ways.

The result is an organization that is operationally leaner and financially stronger than it has ever been, but that is running on diminished trust and fraying internal culture. Whether that trade-off serves Meta's long-term interests — particularly its ability to attract and retain the engineering and research talent that AI ambitions require — is a question that record quarterly earnings cannot answer on their own.