2026 Tech Layoffs Tracker: 225,122 Workers Impacted

Live 2026 year to date 519 Layoff events 225,122 People impacted 837 Job losses a day 658 Avg. per event 32 Shutdowns In 2026, we have seen a total of 519 layoffs, impacting 225,122 individuals. This averages out to about 837 job losses per day! 2025: there were 338 layoffs affecting 205,773 people, averaging 564 job losses per day. Largest single layoff in 2026 Oracle 30,000 employees March 31, 2026 AI-Related Layoffs in 2026 41% of layoff events (213 of 519) cite AI or automation as a factor, impacting 179,542 workers Oracle Meta Amazon Dell Nokia Crypto.com Microsoft PayPal Source: skillsyncer.com By month 2026 monthly breakdown Bar height is the number of people impacted. The figure under each month is how many separate layoff events it saw. 29,442 Jan 59 22,222 Feb 68 84,274 Mar 66 20,733 Apr 48 30,900 May 76 13,464 Jun 71 10,793 Jul 50 4,561 Aug 58 8,733 Sep 23 Oct 0 Nov 0 Dec 0 Source: skillsyncer.com Breakdown Where the 2026 cuts landed Ranked by people impacted, across the companies cutting, the industries they sit in, and the reasons they gave. By Industry 2026 Software & Tech 58,386 IT Services and IT Consulting 31,933 Finance & Fintech 25,165 Telecommunications 16,643 Computer Hardware Manufacturing 16,047 E-commerce & Retail 6,054 Hardware & Semiconductors 4,647 IT consulting 4,098 By Reason 2026 AI 179,542 Restructuring 177,020 Cost Cutting 91,835 Strategic Pivot 19,158 Market Conditions 18,851 Performance Decline 16,957 Shutdown/Closure 11,986 Acquisition/Merger 11,795 Charts include only layoffs with reported headcount. Percentage-only layoffs are excluded from totals. Source: skillsyncer.com Analysis Understanding the 2026 Layoff Landscape The tech industry continues to experience significant workforce adjustments in 2026. After the hiring surge during the pandemic years, many companies are now recalibrating their teams to align with current market conditions, shifting priorities toward profitability, and integrating AI-driven efficiencies into their operations. A major factor driving 2026 layoffs is the rapid adoption of artificial intelligence. Companies across every sector are experimenting with where AI fits into their workflows, often replacing roles in content creation, customer support, data entry, and basic coding tasks. At the same time, AI is creating new positions in prompt engineering, AI safety, machine learning operations, and AI-human collaboration. The net effect remains uncertain, but workers with AI literacy and adaptability are better positioned to navigate this transition. This tracker aggregates layoff data from verified news sources, company announcements, and SEC filings to provide a comprehensive view of workforce reductions across the technology sector and adjacent industries. We monitor companies of all sizes, from early-stage startups to established enterprises like Amazon, Google, Meta, and Microsoft. If you've been affected by a layoff, remember that this is a reflection of broader economic conditions, not your individual performance. Take time to update your resume using our free resume scanner to optimize it for applicant tracking systems. Use the job application tracker to stay organized during your search. Need help with your resume? Check out our profession-specific guides: Engineering, Executive, Career Change, Student, and Military to Civilian. AI & 2026 Layoffs: What the Data Shows 41% Of layoffs cite AI 213 AI-related events 179,542 Workers impacted Artificial intelligence has emerged as the single largest factor in 2026 layoff announcements. Our analysis shows that 41% of layoff events this year explicitly cite AI, automation, or machine learning as a driving force, affecting 179,542 workers across 213 companies. Major tech firms including Meta, Amazon, Microsoft, and Alphabet have collectively committed hundreds of billions in AI infrastructure spending while simultaneously reducing headcount. The pattern is clear: companies are cutting roles in customer support, content moderation, data entry, QA testing, and traditional software engineering, then reinvesting the savings into AI data centers, chips, and tooling. This isn't limited to tech, either. AI-driven layoffs have spread into finance, logistics, consulting, media, retail, and manufacturing. The "AI washing" debate: Not every AI-attributed layoff is genuinely caused by AI. Analysts have noted that some companies cite AI as justification for workforce reductions that were really driven by overhiring, declining revenue, or investor pressure. This "AI redundancy washing" makes it difficult to isolate AI's true impact. However, the trend is directionally clear: companies that adopt AI tooling are restructuring their workforces around it. Jobs most at risk: Computer programmers, customer service representatives, data entry workers, content writers, and marketing roles show the highest overlap with current AI capabilities. Meanwhile, roles in machine learning infrastructure, AI safety, applied research, healthcare, and skilled trades remain in strong demand. Workers who develop AI literacy and learn to work alongside AI tools are better positioned to navigate this transition. Ready for Your Next Opportunity? Upload your resume and paste a job description. SkillSyncer instantly shows which keywords you need to add to land more interviews. Try It Free FAQ Frequently asked questions How many tech layoffs have there been in 2026? As of September 26, 2026, there have been 519 layoff events in 2026, impacting 225,122 workers. This averages approximately 837 job losses per day. Which companies have had the largest layoffs in 2026? The largest single layoff in 2026 was Oracle with 30,000 employees impacted. Our tracker monitors layoffs across tech, finance, healthcare, and other industries. See the full breakdown in our Top Companies chart above. How does 2026 compare to 2025 for layoffs? In 2025, there were 338 layoff events affecting 205,773 people, averaging 564 job losses per day. So far in 2026, we've tracked 519 events impacting 225,122 workers. Where does this layoff data come from? Our layoff data is aggregated from multiple verified sources including official company announcements, SEC filings, reputable news outlets (TechCrunch, The Verge, Bloomberg, Reuters), and LinkedIn. Each entry includes a source link so you can verify the information directly. How many 2026 layoffs are caused by AI? AI and automation are a significant driver of workforce reductions in 2026. Our analysis of layoff announcements shows that 41% of layoff events (213 out of 519) explicitly cite AI, automation, or machine learning as a contributing factor, impacting approximately 179,542 workers. Companies are investing heavily in AI capabilities while reducing headcount in roles that AI tools can partially or fully replace, including customer support, content moderation, data entry, QA testing, and even software engineering. This trend is accelerating as generative AI tools become more capable and widely adopted. What should I do if I get laid off? First, review your severance package and understand your benefits timeline (health insurance, stock vesting). File for unemployment benefits promptly. Update your resume and LinkedIn profile, focusing on quantifiable achievements. Reach out to your network and let them know you're looking. Use our free resume scanner to optimize your resume for applicant tracking systems and increase your interview rate. Which jobs are most at risk from AI layoffs? Research from multiple sources shows that computer programmers, customer service representatives, data entry workers, and content writers face the highest risk of AI displacement. More broadly, office support, banking, finance, and marketing roles have significant overlap with current AI capabilities. Educated white-collar workers earning up to $80,000 per year are disproportionately affected. Roles that remain in strong demand include machine learning engineering, AI safety, applie