US Tech Layoffs Accelerate in 2026 as Companies Shift Spending to AI
From January through August, U.S. tech firms cut 94,046 jobs, a 16.8% rise over the same period in 2025, driven largely by AI-focused cost reductions.
The Crunchbase Tech Layoff Tracker shows that job cuts in the U.S. technology sector have picked up speed in 2026, outpacing the previous year’s pace and arriving in concentrated bursts rather than a steady flow. The surge reflects a broader reallocation of budgets toward artificial-intelligence initiatives and a tightening of operating expenses across the industry.
Between January and August, at least 94,046 tech positions were eliminated, representing a 16.8% increase from the 80,486 cuts recorded in the same eight-month window of 2025. The early months set a brisk tempo: after a December 2025 dip to 5,151 layoffs, January 2026 alone saw more than 20,000 jobs disappear. May proved the most severe month, accounting for 31,513 of the year-to-date total and including Meta’s 8,000-person reduction, the largest single-company layoff since March 2023’s 36,602 cuts.
Following the May peak, the pace moderated. Each subsequent month recorded fewer dismissals, with August’s tally falling to 2,347. The combined June-August figure of 19,331 marks a 16.2% decline compared with the same quarter in 2025, hinting at a possible easing but leaving the longer-term trajectory uncertain.
Artificial intelligence has emerged as a prominent justification for the cuts. Roger Lee, founder of Layoffs.fyi, notes that AI was cited in 33% of layoff events this year, up from just 1% in 2024. His data attributes 92,913 global layoffs, 72% of the year’s total, to AI-related decisions. Lee cautions that “there’s been little evidence that AI is actually replacing the work of the human employees let go,” suggesting that firms are investing heavily in AI while trimming other headcount to improve productivity.
Publicly traded tech giants dominate the headline numbers. Amazon leads with 17,388 layoffs, including a 16,000-person reduction announced in January and several smaller rounds thereafter. Meta follows with 10,400 cuts, of which 8,000 were announced in May and represent roughly 10% of its workforce. Microsoft and PayPal each shed around 4,800 jobs, while Block, Cisco and Cognizant each recorded roughly 4,000 layoffs. Intuit, Amdocs and Visa round out the top ten, with 3,000, 2,900 and 2,600 cuts respectively. Together, these large firms account for about 87% of all tech layoffs in 2026, a share nearly identical to the 85% recorded last year.
Among private firms, the scale of reductions is smaller but still notable. Epic Games disclosed 1,000 layoffs, HR-software provider UKG reported 950 cuts, and MyHeritage eliminated 500 positions. In early September, Uber announced a 3,300-person reduction, equivalent to 10% of its workforce, adding to the private-sector tally.
Andrew Challenger of Challenger, Gray & Christmas observes that AI is influencing employment in two distinct ways. Some tasks, particularly coding, can now be performed by fewer engineers, leading to outright replacements. Simultaneously, companies are reallocating resources, cutting staff in legacy areas while hiring for AI-centric roles. This dual dynamic explains why layoff announcements often coincide with new job postings in the same organization.
Tech remains the sector with the highest layoff volume in the United States, even as overall U.S. layoffs have slipped modestly from the previous year, a trend partly skewed by large federal workforce reductions in 2025. While the broader economy still experiences elevated job cuts compared with the post-pandemic hiring surge, few non-tech firms have invoked AI as a primary driver.
Looking ahead, the net impact of AI-driven productivity gains versus headcount reductions remains an open question. Lee sees potential upside for programmers if AI lowers software development costs, possibly spurring investment in projects outside traditional tech. Meanwhile, Amazon’s outreach to former employees for roles in its cloud and AI divisions suggests that some firms may be recalibrating earlier decisions. Founders and operators should monitor how AI budgeting decisions translate into hiring patterns, as the balance between cost cutting and talent acquisition will shape talent markets for years to come.