Mass Layoffs in Tech 2025-2026: Causes and Consequences

What happened?

According to the Crunchbase Tech Layoffs Tracker, from early 2025 to mid-2026, more than 200 US-based tech companies have announced layoffs totaling approximately 150,000 lost jobs. The tracker, updated at least biweekly, includes both startups and public companies with a strong tech presence, and relies on media reports, social media posts, company filings, and the collaborative database layoffs.fyi. Among the hardest-hit companies are giants like Meta, Amazon, Google, Microsoft, and unicorn startups like Klarna. The cuts are not limited to underperforming areas; they affect engineering, sales, marketing, and human resources. Note that figures are estimates based on available reports, and when the number of affected employees cannot be confirmed, it is listed as 'not clear'.

Why is this important?

This wave of layoffs is the most significant since the bursting of the tech bubble in 2001 and the 2008 financial crisis. For context, after the dot-com bubble burst, companies like Cisco and Sun Microsystems laid off tens of thousands; in 2008, the global crisis led to massive cuts in sectors like banking and technology. However, the current scenario presents key differences: converging factors include automation driven by artificial intelligence, investor pressure for profitability after years of growth without profits, and a cooling digital advertising market affecting revenues of platforms like Meta and Google. Unlike previous cycles, where cuts were concentrated in non-strategic areas, now a deep restructuring is observed that includes core engineering and product teams. The impact is not just economic: it redefines the perception of job stability in the tech sector, which for years was considered a haven of secure, well-paid employment. Additionally, it accelerates the transition to leaner business models, prioritizing efficiency over growth at all costs.

Consequences for the ecosystem

• For employees: The saturation of the tech labor market increases competition for each position. According to layoffs.fyi data, layoffs have concentrated in software engineering, sales, and human resources roles. This leads to wage stagnation in generalist positions, while salaries in AI and data science skyrocket. The need for professional retraining is urgent: skills in artificial intelligence, machine learning, and data analysis become almost mandatory to stay relevant. Moreover, the rise of remote work allows companies to hire global talent at lower costs, putting downward pressure on US wages.
• For startups: Access to funding has become more restrictive. Investors prioritize startups with proven business models and a path to profitability, rather than those burning cash for growth. This makes talent retention difficult, as startups cannot compete with the salaries of giants like Google or Microsoft, which, although also laying off, still offer attractive compensation. Additionally, economic uncertainty dampens new investments, potentially reducing new company creation.
• For the broader economy: The contraction in tech employment has a ripple effect: lower spending on tech consumption (devices, software, cloud services), reduced demand for office and commercial space, and a possible slowdown in long-term innovation if talent shifts to non-tech sectors. However, sectors like healthcare, finance, and manufacturing are digitizing their operations and absorbing some of that displaced talent, softening the impact.

What readers should know

Layoffs are not uniform across the sector. While generative AI companies like OpenAI and Anthropic are hiring aggressively, large mature platforms are cutting back. For example, Meta has reduced its workforce by more than 20,000 employees since 2022, but at the same time is heavily investing in AI infrastructure. The trend suggests that tech employment is polarizing: high demand for specialized roles in AI, cybersecurity, and data, but reductions in administrative, support, and sales positions. Additionally, remote work has allowed companies like Klarna (headquartered in Sweden but with a strong US presence) to optimize costs by hiring global talent, intensifying competition for local jobs.

For those affected, the recommendation is to diversify skills: not only focus on a specific technology, but develop competencies in AI, data analysis, and product management. Consider roles in non-tech sectors that are digitizing their operations, such as healthcare (telemedicine), finance (fintech), and manufacturing (automation). It is also key to prepare for a more volatile labor market by maintaining an active network and constantly updating one's professional profile. Finally, keep an eye on startups that, despite the environment, continue hiring in strategic areas like AI and cybersecurity.