Meta to lay off 8,000 employees to fund $145 billion AI investment

Meta is launching its largest job cuts since 2023: layoffs of 8,000 people and the cancellation of 6,000 open positions are scheduled for May 20.

Scale of the layoffs

This is the largest single round of cuts in Meta's history since the restructuring three years ago. The wave will hit employees across all of the company's operations, from marketing and design to internal support and coordination teams. The company is openly dropping roles it considers less critical to the development of artificial intelligence and AI infrastructure. Despite the mass cuts, Meta paradoxically keeps hiring aggressively for AI, machine learning and data engineering, just in different positions and for focused projects.

AI investment: $145 billion versus people

Alongside the layoffs, Meta is announcing record profit and plans to invest $145 billion in AI infrastructure over the coming years. It is a striking and deliberate choice: the company is literally moving money from one pocket (employee salaries) to another (servers, chips and data center power). Zuckerberg's logic is simple and blunt: compute and neural networks matter more for the future than a growing staff of generalist developers, which the company has been hiring for the past five years.

• Buying and housing AI chips and high-performance servers
• Developing in-house processors (Trainium for training, Inferentia for inference)
• Building and expanding data centers worldwide, including new regions
• Integrating artificial intelligence into Facebook, Instagram, WhatsApp and other products
• Competing head-on with OpenAI, Google and Microsoft in the race for leadership in LLMs and generative AI

Why the shake-up is happening now

This is not the first time Meta has cut headcount, but the scale of this round reflects a new reality in the tech industry: the company is fully reorienting toward an AI-first approach. The years when Facebook could grow the traditional way (hire engineers, ship features, users arrive on their own) are over. Zuckerberg believes the speed of developing and deploying AI models will become the main competitive advantage, and that this requires cutting-edge infrastructure, not a large staff of standard developers. Everything now depends on who builds the most powerful AI infrastructure first and gains an edge in training and deployment speed.

A signal to the industry and investors

Layoffs at Meta amid record profits send a strong, clear signal to the whole tech industry and to investors. The company is showing it is ready to sacrifice current headcount and its familiar organizational structure for future capabilities. This may inspire other big players to make similar pivots, especially if Meta actually gains a practical edge in AI performance within the next 1-2 years.

What this means

Zuckerberg is betting entirely on the idea that the future belongs to automation and artificial intelligence, not to the traditional growth of developer headcount. This is not just a budget cut but a fundamental rethink of how a tech company is built in the era of large language models. The outcome of this experiment will show whether a "bet on machines" strategy can be more effective than the traditional model focused on human capital and team-based development.

*Meta has been designated an extremist organization and is banned in Russia.