Tech Layoffs Tracker

As of August 27, 2026, there have been 365 layoff events in 2026, impacting 209,032 workers. This averages approximately 875 job losses per day.

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.

In 2025, there were 338 layoff events affecting 205,773 people, averaging 564 job losses per day. So far in 2026, we've tracked 365 events impacting 209,032 workers.

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.

AI and automation are a significant driver of workforce reductions in 2026. Our analysis of layoff announcements shows that 50% of layoff events (183 out of 365) explicitly cite AI, automation, or machine learning as a contributing factor, impacting approximately 172,044 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.

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.

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, applied research, healthcare, skilled trades, and positions requiring complex physical work or nuanced human judgment.

First, assess whether AI truly replaced your role or if the company used AI as a broader justification for cost-cutting. If your specific function is being automated, consider upskilling into adjacent areas where AI augments rather than replaces workers. Developing AI literacy is now considered essential across industries, similar to how computer literacy became a baseline expectation. Focus on skills that complement AI: critical thinking, complex problem-solving, stakeholder management, and domain expertise. Update your resume to highlight experience working with AI tools and data-driven workflows. Use our resume scanner to ensure your resume is optimized for the roles you're targeting.

There is growing evidence of "AI washing" in layoff announcements. Some companies cite AI as the reason for workforce reductions when the real drivers are overhiring, declining revenue, or cost-cutting pressure from investors. Deutsche Bank analysts noted that "AI redundancy washing" is a significant trend in 2026, and even OpenAI's CEO has acknowledged that some companies blame AI for layoffs they would have made regardless. That said, many layoffs are genuinely driven by AI adoption: companies like Meta, Amazon, Microsoft, and Alphabet have collectively committed hundreds of billions in AI infrastructure spending while simultaneously reducing headcount in roles where AI tools have proven effective.

In 2026, the technology sector continues to see the most layoffs, particularly in software development, fintech, and e-commerce. However, AI-driven layoffs have spread well beyond tech into finance, logistics, consulting, media, retail, and manufacturing. Our industry breakdown chart above shows the current distribution of layoffs by sector.

Yes, many companies are simultaneously laying off workers in some departments while hiring in others. Companies often cut roles in areas like recruiting, marketing, or experimental projects while expanding teams in AI, security, and core product development. Roles in machine learning infrastructure, model evaluation, AI safety, and applied research remain in acute shortage. Even companies announcing layoffs frequently have open positions, so don't automatically exclude them from your job search.

Job search timelines vary significantly based on role, seniority, location, and market conditions. On average, tech professionals report 2-4 months to land a new role, though senior positions may take longer. To speed up your search, tailor your resume for each application, apply to positions where you meet at least 70% of requirements, and prioritize networking alongside job board applications.

The Worker Adjustment and Retraining Notification (WARN) Act requires employers with 100+ employees to provide 60 days advance notice before mass layoffs (50+ workers) or plant closures. Some states have additional requirements. WARN notices are public record and can signal upcoming layoffs before official announcements. Not all layoffs require WARN notices, especially at smaller companies or for layoffs under the threshold.

Warning signs include hiring freezes, budget cuts, canceled projects, leadership changes, missed earnings targets, and increased focus on "efficiency" in communications. Companies may also restructure teams, reduce perks, or slow down promotions. While these signs don't guarantee layoffs, they suggest it's wise to update your resume, strengthen your network, and quietly explore opportunities.