2026 Tech Layoffs Tracker

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

Artificial intelligence has emerged as the single largest factor in 2026 layoff announcements. Our analysis shows that 56% of layoff events this year explicitly cite AI, automation, or machine learning as a driving force, affecting 156,270 workers across 150 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.

How many tech layoffs have there been in 2026?

As of June 27, 2026, there have been 267 layoff events in 2026, impacting 185,894 workers. This averages approximately 1,044 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 267 events impacting 185,894 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 56% of layoff events (150 out of 267) explicitly cite AI, automation, or machine learning as a contributing factor, impacting approximately 156,270 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, applied research, healthcare, skilled trades, and positions requiring complex physical work or nuanced human judgment.

What should I do if I was laid off because of AI?

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.

Are companies using AI as an excuse for layoffs?

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.

Which industries are most affected by layoffs in 2026?

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.

Are companies still hiring despite layoffs?

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.

How long does it typically take to find a new job after a layoff?

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.

What is a WARN notice?

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.

How can I tell if my company might have layoffs soon?

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.