Nearly 40,000 Tech Workers Laid Off In May As AI Becomes the Industry’s Favorite Excuse

Tech companies laid off 38,242 workers in May, the highest monthly total in nearly two years, while simultaneously planning a 77% increase in AI infrastructure spending to $725 billion this year. Employers cited artificial intelligence as the top reason for cuts for the third consecutive month, though experts and OpenAI CEO Sam Altman warn that many companies are using AI as a convenient excuse for routine cost-cutting and budget reallocation. Despite the layoffs, the Labor Department projected 85,000 new jobs nationwide in May, indicating tech workers are being reshuffled rather than permanently displaced.

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.