Tech layoffs hit 113,000 as AI disclosure laws lag behind
NEW YORK, UNITED STATES — American technology companies have cut 113,863 workers across 179 layoff events in 2026 — an average of 825 per day — while reporting some of the strongest quarterly revenues in their histories, according to independent tracking data and outplacement firm Challenger, Gray & Christmas as cited in a Tech Times report.
Record revenues, record layoffs: The 2026 tech paradox
Cisco eliminated roughly 4,000 workers on May 14, the same day it reported record quarterly revenue of $15.8 billion — a 12% year-on-year gain.
Oracle is cutting up to 30,000 employees, or 20% of its workforce, after strong earnings and a multi-billion-dollar AI data center expansion; analysts at TD Cowen project the cuts could generate $8 billion to $10 billion in incremental free cash flow. Cloudflare cut 1,100 positions — 20% of its staff — even as quarterly revenue grew 34%.
“We basically have two major cost centers in the company: compute infrastructure and people-oriented things,” Meta CEO Mark Zuckerberg told employees ahead of the company’s 8,000 cuts on May 20.
Meta has raised its full-year capital expenditure guidance to between $125 billion and $145 billion — four to five times its entire annual human payroll cost of roughly $27 billion, making the layoffs a financing mechanism rather than a savings story.
No federal law requires companies to prove AI caused the cuts
Under current federal law, a company can publicly blame artificial intelligence for thousands of layoffs and workers have no legal right to know whether that explanation is accurate. The Worker Adjustment and Retraining Notification Act contains no provision requiring AI disclosure.
Two bills — the Senate’s AI Workforce PREPARE Act and the House’s No Robot Bosses Act — would change that, but neither has passed. In their absence, Colorado’s Artificial Intelligence Act takes effect June 30, and California has proposed 90 days’ advance notice for AI-driven cuts.
“The headline is, ‘It’s because of AI,’ but if you read what they actually say, they say, ‘We expect that AI will cover this work,'” said Peter Cappelli, a management professor at the Wharton School of the University of Pennsylvania. “Hadn’t done it. They’re just hoping.”
For business process outsourcing (BPO) and outsourcing companies, the 113,000-layoff wave opens a clear lane. As domestic tech workers face a median job search of 4.7 months and tech-sector unemployment reaches 5.8% — its highest since 2001 — the pool of available, experienced talent is growing.
Outsourcing providers that can match that talent to clients restructuring toward AI-native operations are positioned to convert the sector’s disruption into a durable workforce advantage.
