2026 Tech Layoff Tracker: 38K Workers Cut and Counting — Where the Talent Is Going

The tech industry's workforce contraction is accelerating. Through mid-February 2026, 97 layoff events have impacted 38,412 workers across technology companies—an average of 873 workers per day, up from 674 per day during the same period in 2025.

If current trends continue, the industry is on pace for approximately 273,000 layoffs by year-end, exceeding 2025's total of 245,000 cuts. For hiring teams, this represents both a challenge and an unprecedented opportunity: the talent pool is deeper than it has been in years, but competition for the best candidates remains fierce.

This tech layoffs tracker will be updated weekly to help talent acquisition teams understand market dynamics and adjust their hiring strategies accordingly.

97 layoff events have been publicly announced by technology companies since January 1, 2026. This includes both large-scale reductions affecting thousands of workers and smaller cuts targeting specific teams or business units.

38,412 workers have been impacted by these cuts through February 16. This represents actual job eliminations, not just positions left unfilled or hiring freezes.

873 workers per day is the current average impact rate. This daily rate has increased 30% compared to the same period in 2025, when 674 workers per day were affected by tech layoffs.

273,000 projected total for 2026 if the current pace continues. This would make 2026 the second-highest year for tech layoffs in the past decade, behind only 2023's pandemic-era restructuring.

The week of February 10-16 saw significant workforce reductions from several major technology companies:

Amazon announced the largest single cut, eliminating approximately 16,000 positions across its cloud computing, advertising, and retail divisions. The company cited "operational efficiency improvements" and noted that AI tools are handling tasks previously requiring human intervention. This represents roughly 5% of Amazon's corporate workforce.

Salesforce reduced headcount by an estimated 1,000 workers, primarily in sales operations and customer success roles. The CRM giant has been restructuring since late 2025, and these cuts represent the third wave of reductions in four months.

Block (formerly Square) cut 1,100 positions across its payment processing and Cash App divisions. CEO Jack Dorsey cited "overhiring during the 2021-2022 growth period" and a strategic shift toward AI-powered customer service.

Workday eliminated 400 positions in engineering and product development. The enterprise software company indicated it's consolidating teams to focus on AI-integrated HR and financial management tools.

Smaller cuts affecting 50-200 workers each were announced by at least a dozen mid-sized tech companies, spanning sectors from cybersecurity to marketing automation to developer tools.

Artificial intelligence has emerged as both a stated reason for layoffs and a reshaping force in how companies structure their workforces.

AI was cited as a driver in approximately 55,000 of the 245,000 tech layoffs in 2025. While comprehensive 2026 data isn't yet available, preliminary analysis suggests AI-related cuts are trending higher this year.

Companies are eliminating positions in several categories:

Routine data processing and analysis roles are being automated through AI tools that can handle tasks like report generation, data cleaning, and basic analytics without human intervention.

First-tier customer support positions are shrinking as AI chatbots and virtual assistants handle increasingly complex customer inquiries. The remaining human support staff focus on escalated issues and relationship management.

Content production and translation teams have contracted as generative AI tools produce initial drafts of marketing materials, documentation, and localized content. Human workers now primarily edit and refine AI outputs rather than creating content from scratch.

Code maintenance and testing roles are being consolidated as AI-powered development tools handle routine debugging, test creation, and code review tasks.

The pattern is consistent: companies aren't necessarily eliminating entire functions, but they're dramatically reducing the number of workers required for tasks that AI can assist with or fully automate.

Despite the layoff headlines, tech hiring hasn't stopped—it's shifted. Companies are hiring strategically for roles that require skills AI cannot replicate.

More than 40% of companies report that finding qualified talent remains their top hiring challenge in 2026, even with increased worker availability. This paradox reflects a fundamental mismatch: the skills being shed through layoffs don't perfectly align with the skills companies are seeking.

High-demand roles in the current market include:

AI and machine learning specialists who can build, fine-tune, and manage the systems driving automation. Ironically, workers with deep AI expertise are in higher demand than ever, even as AI eliminates other positions.

Strategic product managers who can identify market opportunities and guide product development with minimal technical overhead. Companies want leaders who can do more with smaller teams.

Senior engineers with expertise in emerging technologies like quantum computing, advanced cybersecurity, and AI infrastructure. The bar for technical roles has risen—companies hire fewer engineers but expect each to have broader, deeper capabilities.

Roles requiring high-touch human interaction, like enterprise sales, executive recruiting, and strategic consulting, remain stable or growing. These positions rely on relationship-building and complex decision-making that AI tools cannot replicate.

Tech layoffs 2026 reflect several converging pressures on the industry:

Economic uncertainty continues to make companies conservative with headcount. Even profitable firms are cutting positions to improve margins and satisfy investor expectations for efficiency.

AI productivity gains are real, allowing companies to maintain or grow output with fewer workers. A development team of 30 might now accomplish what required 45 workers in 2024.

Overcorrection from 2021-2022 hiring remains a factor. Many companies staffed up aggressively during the pandemic boom and are still rightsizing to sustainable workforce levels.

Shift to skills-based talent strategies means companies are becoming more selective. Rather than hiring broadly and training internally, they're seeking candidates who can contribute immediately with specific, in-demand skill sets.

For talent acquisition teams, this environment creates both challenges and advantages. The challenges are obvious: internal hiring freezes, budget constraints, and pressure to do more with less. But the advantages are significant.

When 38,412 workers—and counting—are displaced from tech roles, the talent pool deepens considerably. Workers who would have been nearly impossible to recruit six months ago are now actively seeking new opportunities.

Smart hiring teams are capitalizing on this moment by:

Moving quickly on high-value candidates. While the overall market is flush with talent, the best candidates still receive multiple offers. Companies that can evaluate and extend offers within days rather than weeks are winning competitive situations.

Focusing on soft skills and adaptability rather than narrow technical specialization. Workers who've survived multiple rounds of layoffs or successfully navigated career transitions demonstrate resilience and learning agility that predict long-term success.

Building talent pipelines for when hiring budgets increase. Even teams that can't hire immediately are engaging with displaced workers, building relationships, and staying top-of-mind for when headcount approvals come through.

Leveraging AI-powered screening to efficiently evaluate the increased applicant volume. When each job posting receives 300+ applications instead of 50, manual resume review becomes impossible. AI tools that can assess skills objectively help hiring teams surface strong candidates quickly.

Tech layoffs 2026 aren't distributed evenly across geography or industry sector.

Major tech hubs like San Francisco, Seattle, and New York have seen disproportionate impact due to the concentration of large tech employers. However, remote work has distributed both layoffs and subsequent hiring opportunities more broadly than in previous downturns.

Enterprise software companies have cut more aggressively than consumer-focused tech firms. B2B companies face longer sales cycles and increased scrutiny on software spending, pressuring them to reduce costs.

Fintech and crypto sectors continue restructuring after 2023-2024's market corrections, with ongoing workforce reductions as companies consolidate and refocus.

AI-native companies and cybersecurity firms are bucking the trend, generally maintaining or growing headcount as demand for their services increases.

As this tech layoffs tracker continues through 2026, several indicators will signal market shifts:

Layoff pace changes: If the daily average of 873 workers affected begins to decline, it could signal stabilization. An increase would suggest further contraction ahead.

Sector concentration: Which industries are cutting versus hiring provides insight into where the market sees growth opportunities versus overinvestment.

AI attribution trends: The proportion of layoffs explicitly tied to AI automation indicates how quickly that transformation is accelerating.

Rehiring patterns: Companies that laid off workers in Q1 but resume hiring in Q3-Q4 may signal that initial cuts were too aggressive, suggesting market conditions are improving.

The market is flooded with talent. The companies that screen smarter will win. RecruitHorizon's AI does the heavy lifting. [LINK: talent-screening]

Tech layoffs 2026 aren't just a workforce reduction story—they're a talent reallocation story. Skills are shifting from companies that over-hired or couldn't adapt to more nimble organizations that can leverage AI effectively while identifying the human skills that remain essential.

For hiring teams, this means:

Talent quality available now exceeds what you'll find in a tight market. Workers displaced from Google, Amazon, Salesforce, and other top firms bring experience and skills that would normally require aggressive poaching.

Speed matters more than perfect process. When a strong candidate appears, companies that can move from application to offer in under two weeks will consistently beat competitors with month-long hiring cycles.

AI-powered screening isn't optional. Managing 300+ applications per role with manual resume review leads to hiring delays and missed top candidates. Automated screening that evaluates skills objectively surfaces strong candidates while reducing time-to-hire.

Skills-based assessment predicts success better than pedigree. A worker laid off from a prestigious company might be available, but that doesn't guarantee they have the skills your role requires. Objective skills assessment remains essential.

How many tech layoffs have there been in 2026?

Through February 16, 2026, there have been 97 layoff events affecting 38,412 workers at technology companies. This represents an average of 873 workers impacted per day, up 30% from the 674 per day rate during the same period in 2025. If current trends continue, 2026 is projected to see approximately 273,000 total tech layoffs.

Which companies are laying off workers in 2026?

Major tech layoffs this week include Amazon (16,000 positions), Salesforce (approximately 1,000), Block (1,100), and Workday (400). Cuts span cloud computing, sales operations, payment processing, and enterprise software sectors. At least a dozen smaller companies announced reductions of 50-200 workers each.

Why are tech companies laying off workers if they're still hiring?

More than 40% of companies report finding qualified talent is their top challenge despite layoffs. Companies are eliminating roles where AI can automate tasks (data processing, basic customer support, routine coding) while actively hiring for positions requiring strategic thinking, advanced technical expertise, and high-touch human interaction. The skills being cut don't match the skills being sought.

How is AI contributing to tech layoffs in 2026?

AI was cited as a driver in approximately 55,000 of 2025's 245,000 tech layoffs, with that proportion expected to increase in 2026. Companies are using AI tools to automate routine data analysis, customer support, content production, and code maintenance, reducing the number of workers needed for these functions. Paradoxically, demand for AI specialists who build and manage these systems remains high.