Meta Is Spending Billions on AI While Cutting Thousands of Jobs — And Silicon Valley Workers Are Panicking

21st May 2026
Meta is cutting thousands of jobs while pouring billions into artificial intelligence systems, deepening fears across Silicon Valley that the AI boom could permanently shrink white-collar hiring. The Facebook and Instagram owner recently slashed roughly 10% of its workforce while ramping up spending on AI chips, data centers and massive computing infrastructure. The layoffs are part of a brutal wave sweeping through tech in 2026, with more than 113,000 jobs already cut across 137 companies this year, according to figures cited in a Forbes interview with former Intel executive Diane Bryant. For workers inside the industry, the pattern is becoming impossible to ignore. Companies that once hired aggressively are now slowing recruitment, shrinking teams and redirecting enormous amounts of cash into AI systems instead. The timing is rattling employees far beyond Meta itself. Many younger tech workers entered the industry believing software engineering and corporate tech roles offered near-guaranteed stability, high salaries and endless demand. Now hiring freezes are spreading, graduate recruitment is slowing and even experienced employees are starting to question how secure their careers really are in an AI-driven economy. Bryant, who previously led Intel’s data center division before becoming COO of Google Cloud, believes much of the panic is moving faster than reality. She argues that every major technology revolution — from PCs to cloud computing — created fear long before companies fully rebuilt themselves around the new systems. But even Bryant admits this moment feels different. Wall Street is pouring unprecedented sums into AI infrastructure while executives face growing pressure to prove they can run leaner businesses with fewer employees. Companies are increasingly treating payroll as a place to cut costs while they race to fund expensive AI expansion, including Nvidia chips, cloud capacity and giant data-center projects. Inside Silicon Valley, that trade-off is already changing how companies hire. Support departments, recruiters and non-revenue teams are facing some of the biggest pressure as executives search for ways to reduce operating costs. Employees who once survived previous tech downturns are now confronting a new fear altogether: that AI may not just slow hiring temporarily but permanently reduce how many people companies need. Bryant said businesses still face major problems before AI can fully replace large parts of the workforce. Many firms lack employees with the expertise to properly deploy AI systems, while security risks, inaccurate outputs and resistance from staff continue slowing adoption. She also rejected the growing narrative that AI will wipe out software development entirely. Instead, Bryant believes AI will sit on top of existing software systems rather than replace them outright. Companies will still need engineers, infrastructure specialists and large software platforms even as AI changes how those tools are used. For workers, though, the disruption is already arriving faster than many expected. Bryant compared today’s anxiety to Intel’s own cloud-computing transition years ago, when virtualization technology triggered panic among long-time infrastructure employees who feared their expertise had suddenly become irrelevant. Some adapted and retrained into new roles. Others disappeared from the company altogether. What makes this AI wave feel far more intense is the sheer speed of the money flooding into it. Major technology firms are collectively spending hundreds of billions of dollars building AI systems even as layoffs continue spreading across the sector at levels not seen since the post-pandemic tech crash. For graduates and younger employees trying to enter the industry now, the atmosphere looks completely different from just a few years ago. Competition for jobs has intensified, recruitment pipelines have narrowed and workers increasingly feel pressure to constantly retrain simply to stay employable. Bryant still believes the AI economy is only in its early stages. But across Silicon Valley, many employees are no longer asking whether AI will reshape the industry. They are wondering how many careers disappear before the hiring returns.