Unlike Meta’s earlier pandemic-era layoffs, CEO Mark Zuckerberg has not framed the latest cuts as a hiring mistake. In previous rounds, Zuckerberg publicly acknowledged that the company had overexpanded during Covid. This time, the layoffs are being presented internally as part of a broader effort to redirect resources toward AI development and infrastructure.
The shift reflects how dramatically the economics of big tech are changing around artificial intelligence. Companies across Silicon Valley are spending aggressively on compute, GPUs, and data center expansion while simultaneously reducing headcount in areas viewed as less critical to future growth. Meta’s own messaging to employees linked the workforce reductions directly to the need to “offset the other investments we’re making.”
Internally, however, the strategy appears to be taking a toll on morale. Current and former employees told CNBC there is growing concern that additional cuts could arrive later this year, including another possible round in August. Finance chief Susan Li acknowledged during Meta’s earnings call that executives still do not know “what the optimal size of the company will be in the future,” while also saying the company has “continued to underestimate our compute needs.”
That tension is becoming increasingly common across the tech sector. Companies are rewarding investors with leaner operations while redirecting spending into AI systems that could automate or reduce portions of white-collar work. According to Layoffs.fyi, tech companies have already announced nearly 110,000 layoffs this year, putting the industry on pace to approach the peak levels seen during the 2023 downturn.
The investor response has reinforced the trend. Cisco shares surged after the company paired job cuts with stronger AI infrastructure guidance, highlighting how Wall Street is rewarding firms that show discipline on labor costs while accelerating AI spending. Executive search firm Kingsley Gate’s chief strategy officer Umesh Ramakrishnan described the shift bluntly: “Now the world understands that jobs are being replaced by machines, and if you’re not doing that, shareholders are getting upset.”
Meta’s situation is more complicated because investors still appear uncertain about the company’s broader AI direction. The stock has underperformed most megacap peers over the past year despite the company’s enormous infrastructure commitments. Some employees are also questioning the company’s current AI leadership and whether Meta’s strategy is becoming too fragmented.
That uncertainty has been amplified by the rollout of Meta’s internal employee tracking initiative known as the Model Capability Initiative, or MCI. The system collects data from workplace activity, including mouse movements and keystrokes, as part of Meta’s effort to train AI systems capable of performing coding and office-related tasks.
Employees described the project in internal discussions viewed by CNBC as “dystopian,” with some raising concerns about privacy and the possibility that sensitive employee information could be exposed. Others said workplace computers appeared slower after the initiative began. The backlash became strong enough that workers circulated a petition urging leadership to shut the project down.
The petition argued that “collecting and repurposing this kind of data raises serious concerns around privacy, consent, and trust in the workplace,” reflecting a growing fear among employees that AI systems are not only reshaping workflows but increasingly monitoring them as well.
The broader issue for Meta — and much of Silicon Valley — is that AI investment now appears tied directly to organizational restructuring. Companies are no longer treating AI as an adjacent research effort. Instead, they are rebuilding budgets, teams, and internal systems around the assumption that automation will increasingly handle portions of coding, moderation, analysis, and operational work.
Leo Boussioux, an assistant professor at the University of Washington’s Foster School of Business, told CNBC that some companies may be using layoffs and AI pressure to drive cultural change inside organizations. He also suggested the approach could reflect leadership teams struggling to manage the transition more effectively for employees.
For Meta workers, the result is a workplace increasingly defined by uncertainty. The company is spending at historic levels on artificial intelligence while simultaneously reducing headcount and experimenting with systems designed to automate more white-collar tasks. That combination is creating a growing sense that Silicon Valley’s AI boom is no longer just about building new tools — it is also beginning to reshape the structure of the workforce itself.
This analysis is based on reporting from CNBC.
Image courtesy of Unsplash.
This article was generated with AI assistance and reviewed for accuracy and quality.
