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The advancement of artificial intelligence goes from promise to influencing cuts, investment priorities, and the profile of the most sought-after professionals in the market, in a change that repositions technology from a future bet to a sector undergoing strong reorganization.
The wave of layoffs in the technology sector in 2026 gained a new central element: the accelerated expansion of artificial intelligence within companies.
As of March 23, the website Layoffs.fyi recorded 39,482 cuts in technology companies this year, while reports from Reuters show that, this time, a good part of the restructurings has been presented by the companies themselves as part of an adaptation to more automated, leaner, and cheaper operations.
In previous cycles, mass layoffs were usually explained by inflation, high interest rates, reduced consumption, or corrections after the hiring spree during the pandemic.
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Now, although these factors still exist in part of the market, executives and corporate documents have increasingly associated the cuts with the replacement of human processes by AI tools, the review of team sizes, and the redirection of resources to computational infrastructure, chips, data centers, and software capable of automating tasks previously distributed among several professionals.
Layoffs in technology accelerate with the advancement of AI
Amazon confirmed in January the elimination of 16,000 corporate positions, completing a broader plan to reduce about 30,000 jobs since October.
According to Reuters, the company linked the decision to an attempt to reduce bureaucracy, cut structures deemed slow, and increase the use of automation and artificial intelligence in different areas, without ruling out further adjustments ahead.
In March, the company also made new cuts in its robotics unit, reinforcing the perception that the reorganization was not limited to a one-off move at the beginning of the year.
At Atlassian, owner of software like Jira and Confluence, the restructuring affected about 1,600 employees, equivalent to approximately 10% of the workforce.
The company stated that it intends to concentrate investments in artificial intelligence and sales to large clients, in a context where the advancement of these tools alters the profile of functions considered strategic.
The CEO, Mike Cannon-Brookes, stated that AI does not fully replace people, but changes the necessary skills and the composition of teams.
Autodesk also followed the same direction.
In January, the design software manufacturer announced the cut of about 1,000 jobs, equivalent to 7% of the global workforce, arguing that it was redirecting expenses to the cloud platform and initiatives related to artificial intelligence.
eBay, on the other hand, announced in February the elimination of about 800 positions, or 6% of full-time employees, as part of a reorganization to realign operations and make room for new investments.
Pinterest, in turn, announced that it would reduce less than 15% of its workforce, around 700 positions, to reallocate resources to roles and strategies focused on AI.
The negative market reaction to the announcement showed that the modernization discourse does not always convince investors in the short term, but the decision fits into the trend of digital companies that have begun to treat automation and algorithmic productivity as a business priority.
Meta and Oracle increase pressure for efficiency
Meta appears among the most watched cases of the year.
In January, Reuters reported that the company planned to cut about 10% of employees in the Reality Labs division, responsible for products related to the metaverse.
In March, another report revealed that the company was considering a much broader round, with the potential to affect 20% or more of the total workforce, in an attempt to offset rising costs associated with artificial intelligence infrastructure.
So far, however, the final extent of these cuts had not been officially determined, making exact numbers publicly attributed to the company imprecise.
This point is relevant because Meta has been combining two distinct pressures.
On one hand, it seeks to advance in language models, generative tools, and large-scale computational capacity.
On the other hand, it needs to respond to the increased spending on data centers and chips, which has begun to weigh on cash flow and profitability demands.
The equation, in this context, is no longer just technological but also labor-related: reducing personnel in areas seen as less critical helps sustain expansion in AI.
At Oracle, the logic repeats itself in another format.
In March, Reuters reported that the company planned thousands of layoffs due to a cash squeeze caused by the aggressive expansion of its artificial intelligence infrastructure.
Days later, the agency reported that the company was reorganizing operations while also expanding data centers for partners like OpenAI and Meta, in addition to relying on smaller engineering teams and AI coding tools to launch products.
In other words, part of the investment that previously supported labor is now financing computational capacity.
The financial sector also enters the path of automation
The movement is no longer exclusive to big techs.
In March, Reuters reported that Morgan Stanley cut about 2,500 jobs, equivalent to 3% of its global workforce, in a restructuring distributed across areas such as investment banking, trading, wealth management, and asset management.
The institution was still reporting strong results, which weakens the explanation that the layoffs were solely due to business deterioration.
Although the bank did not formally attribute the measure solely to artificial intelligence, the news was included by Reuters in a broader context of American companies seeking efficiency through increasing adoption of AI.
The data is significant because it suggests that automation is also advancing over analysis-intensive, projection, and information processing functions, activities that for a long time seemed more protected from technological replacements.
The job market changes with new demands
The practical effect of this transition is a change in the type of worker that is most valued.
Instead of uniformly expanding support teams, operations, internal sales, middle management, and repetitive office functions, companies have concentrated resources on specialists capable of building, training, integrating, monitoring, and auditing AI systems.
At the same time, organizations announcing cuts have been highlighting smaller structures, intensive software use, and increasing demands for individual productivity.
The numbers help explain why this shift has begun to attract so much attention.
A report from Challenger, Gray & Christmas showed that artificial intelligence was cited as the reason for 7,624 planned layoffs in the United States in January, equivalent to 7% of the total announced that month.
On another front, Reuters reported that layoffs globally associated with AI had already surpassed 61,000 since November, indicating that the discourse of automation has shifted from a long-term promise to a concrete justification in short-term decisions.
As a result, the sector that until recently was considered the safest space for future careers is entering a more selective and less predictable phase.
The expansion of artificial intelligence continues to open opportunities but also redefines the value of various functions and reduces the space for occupations that cannot demonstrate a clear advantage over the advancement of software.
What is underway, therefore, is not just a round of cuts, but a deeper change in how large companies measure efficiency, cost, and the need for human labor.
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