US Tech Companies Accelerate Layoffs Amid AI Investment

The American tech sector once again emerged as the primary source of new layoffs: companies are cutting staff faster than they can explain how artificial intelligence should improve business efficiency. In March, technology companies announced 18,720 layoffs, which was enough for the industry to lead the US in new layoff plans for the second consecutive month. For the market, this is no longer a one-time wave of optimization, but a sustainable model: business continues to invest in AI while simultaneously making company teams more compact.

At the broader economy level, US employers announced 60,620 layoffs in March. This is roughly 25% more than in February, though noticeably less than the extreme level a year ago, when mass public sector layoffs inflated the statistics. But within this broader picture, technology companies stand out as particularly instructive.

Their March result was more than 24% higher than a year ago, and cumulatively over the first quarter, the number of announced layoffs in the industry reached 52,050. This is roughly 40% more than the same period in 2025 and the highest quarterly figure for the sector since 2023. Meanwhile, the overall picture in the labor market doesn't look like a return to the panic of 2022–2023.

In the first quarter, American employers announced 217,362 layoffs — this is lower than the same period last year and the calmest year start since 2022. In other words, the US economy as a whole has not entered a mode of massive employment collapse. But within this calmer baseline, the technology sector increasingly stands out as a space where workforce restructuring is happening faster than in other industries.

After tech companies, transportation and healthcare follow in the number of layoffs this year, but IT remains the main testing ground for the hypothesis that AI allows doing more with fewer people. The key shift is that artificial intelligence has stopped being merely a topic for presentations and has become a direct argument for workforce restructuring. In March statistics, AI was named as the reason for 15,341 layoffs, or roughly a quarter of all US layoffs for the month.

Since the beginning of 2026, 27,645 layoffs have already been linked to AI, and since 2023 — 99,470. The logic of companies is clear: if some tasks can be automated, accelerated, or handed to a smaller team with new tools, management begins to view the number of developers, analysts, support specialists, and back-office staff differently. It's important that this concerns not only startups that operate in constant savings mode, but also major players.

Among companies announcing layoffs in recent months were Dell Technologies, Oracle, and Meta Platforms. Formally, the reasons for each may differ: somewhere it's restructuring, somewhere it's a shift in priorities, somewhere it's a reallocation of investments. But the general direction is the same: money is going into data centers, computing infrastructure, models, licenses, and AI service implementation, not into linear expansion of staff.

In corporate budget language, this means a shift in expenses from payroll funds into technologies that should deliver greater output per employee. At the same time, the labor market is not contracting as a whole. In March, employers also announced 32,826 hiring plans — this is 157% more than the month before and almost 2.

5 times more than a year ago. In other words, companies are not simply laying off people, but changing team composition. Demand is shifting toward roles related to automation, infrastructure, security, data management, and AI implementation in business processes.

The problem is that this transition happens asymmetrically: the positions that disappear and the positions that appear rarely match in skills, compensation level, and retraining speed. For the tech sector, this means that AI is increasingly working not as an abstract growth driver, but as a tool of financial discipline. It gives companies a reason to eliminate redundant functions, accelerate development, and demand greater output from smaller teams.

For employees, the signal is even harsher: even in the industry that creates AI products, the technology agenda no longer guarantees protection from layoffs. The next stage of competition will be not only between companies, but also between specialists who know how to work together with AI and those whose tasks AI is already beginning to replace.