# Nearly 40,000 Tech Workers Laid Off In May As AI Becomes the Industry’s Favorite Excuse > Source: > Published: 2026-06-04 16:16:55+00:00 Tech companies axed 38,242 workers in May—the heaviest monthly bloodletting in nearly two years, according to [Challenger, Gray & Christmas](https://letsdatascience.com/news/tech-sector-records-38242-layoffs-as-ai-cited-e1dcd1bb). That’s more cuts than transportation, services, and manufacturing combined. Yet these same firms are simultaneously planning to drop $725 billion on [AI infrastructure](https://www.gadgetreview.com/openai-and-partners-launch-500-billion-stargate-project) this year, a **77% jump** from 2025. The math doesn’t add up unless you understand what’s really happening. This isn’t your typical recession-driven downsizing. ## AI Takes the Blame, But Is It Really the Culprit? Companies cite artificial intelligence as the top reason for cuts, but experts question the narrative. For three straight months, AI has topped the list of stated layoff reasons across all U.S. industries. Companies blamed AI for over **21,000 cuts** in April alone, pushing year-to-date AI-attributed job losses past **49,000**. But here’s where it gets interesting: [Andy Challenger](https://time.com/article/2026/05/26/sam-altman-ai-job-losses-openAI-/) notes that “regardless of whether individual jobs are being replaced by AI, the money for those roles is.” Translation? Your position might survive, but your department’s budget just got reassigned to GPU clusters. Meta’s Mark Zuckerberg spelled it out plainly to employees—the company’s **8,000 job cuts** were a direct result of AI infrastructure spending. [Microsoft](https://www.theregister.com/off-prem/2026/04/30/microsoft-lifts-2026-capex-by-25b-to-cover-price-rises/5221545) earmarked **$25 billion** just for rising memory and component costs. When server farms cost more than entire engineering teams, guess which gets prioritized. ## The AI-Washing Problem Some executives use artificial intelligence as convenient cover for conventional cost-cutting. OpenAI’s Sam Altman coined the term [ “AI-washing”](https://fortune.com/article/sam-altman-ai-washing-tech-layoffs/) to describe companies slapping an AI label on layoffs they’d pursue anyway. The timing supports his skepticism—many cuts follow familiar patterns of post-pandemic adjustment and higher interest rates rather than sudden automation breakthroughs. Despite all the AI-attributed pink slips, macro employment data shows no broad-based displacement yet. The [Labor Department](https://finance.yahoo.com/sectors/technology/articles/85-000-tech-jobs-gone-184500245.html) projected **85,000 new jobs** added nationwide in May. Tech workers are getting reshuffled, not disappeared. The real story might be simpler than [Silicon Valley](https://www.gadgetreview.com/silicon-valleys-soothing-lies-about-your-ai-future) wants to admit: companies are choosing to fund their AI ambitions by cutting elsewhere, then spinning the narrative to sound inevitable rather than intentional. You’re not witnessing the robot uprising—you’re watching budget reallocation with better PR.