The layoffs did not arrive all at once. There was no single announcement that defined 2026. Instead, the cuts came in waves, emails sent early in the morning, access revoked before lunch, teams thinned out by the end of the week. By early April, the numbers had started to form a pattern. More than 90,000 workers were affected across over 200 events. Not a sudden collapse, but a steady, almost methodical reduction.
What makes this period different is not just the scale. It is the reasoning offered alongside it. Companies are not only talking about cost cuts or slowing demand. They are talking about artificial intelligence, efficiency, and a different way of organising work. That shift in language matters, even if it does not tell the full story.
Amazon
At companies like Amazon, layoffs were framed as an effort to reduce internal complexity. Around 16,000 corporate roles were cut in January, part of a wider set of reductions that began in late 2025. Executives pointed to layers of management built during years of rapid hiring. The message was clear: fewer layers, faster decisions. Workers affected in the United States were given time to look for internal roles, along with severance. The cuts did not signal financial distress. They followed strong revenue and continued spending on new areas, including AI systems and infrastructure.
Oracle
At Oracle, the tone was more abrupt. Reports of 20,000 to 30,000 job cuts emerged at the end of March, with employees in several countries receiving early-morning notices. In India alone, thousands were affected. The scale stood out, but so did the reasoning. The company is investing heavily in data centres tied to AI workloads. Cutting staff frees up billions of dollars that can be redirected into those projects. Here, layoffs were not a response to falling income. They were tied to a decision about where money should go.
Block
Artificial intelligence appears in many of these announcements, but its role varies. At Block, led by Jack Dorsey, the connection was made directly. The company reduced its workforce by roughly 4,000 to 5,100 employees, shrinking its size by a large margin. Dorsey stated that improved tools allow smaller teams to produce the same output. The argument is simple: if software can handle more work, fewer people are needed.
That reasoning has been repeated across the sector, but it does not apply in the same way everywhere. In many cases, AI is not yet replacing entire roles. Instead, it changes how work is done. Tasks that once required several people may now be handled by fewer. The result is not always immediate job loss, but it can lead to cuts when companies review staffing levels.
Meta
At Meta, layoffs have come in multiple rounds. About 1,500 jobs were cut in its Reality Labs division early in the year, followed by hundreds more across recruiting, sales, and other teams. The company has been shifting spending toward AI-related projects while dealing with heavy losses in its virtual reality business. The pattern reflects a reallocation of resources rather than a simple reduction in activity. Money and attention are moving from one area to another, and the workforce moves with them.
Atlassian
Even where AI is not cited as the main reason, it still shapes decisions. Atlassian cut around 1,600 jobs, about 10 per cent of its workforce, while restructuring its business and increasing spending on AI-related tools. Dell Technologies reduced its workforce by roughly 11,000 during the fiscal year, while focusing more on servers used for AI workloads. These moves follow a similar pattern: reduce headcount in some areas, increase spending in others.
The numbers suggest that AI is part of the story, but not the whole of it. Estimates indicate that only a portion of layoffs explicitly cite AI as the cause. In many cases, it is one factor among several. The language of AI, however, has become a convenient way to explain decisions that also involve cost control and long-term planning.
A Reset After Years of Expansion
To understand the current wave of layoffs, it helps to look back a few years. During the period from 2020 to 2022, technology companies hired at a rapid pace. Demand for online services surged, interest rates were low, and capital was easy to access. Companies expanded teams quickly, often building layers of management and support roles to keep up with growth.
That period has ended. Interest rates are higher, investors are more focused on margins, and growth has slowed in several areas. Companies are now reviewing the structures built during those years. The result is a process of reduction that is less about survival and more about adjustment.
This pattern can be seen across large and mid-sized firms. ASML reduced headcount as demand for some chip-making equipment shifted. Ericsson cut jobs in its home market as it adjusted to slower growth in telecom spending. Autodesk and eBay made smaller cuts tied to internal restructuring and changing priorities.
In the gaming industry, the reasoning has been more direct. Epic Games cut over 1,000 jobs, citing lower engagement with its flagship title. Here, the cause was not AI or restructuring for new technology. It was a drop in user activity that affected revenue. The result, however, fits into the same broader trend: companies adjusting staff levels to match current conditions.
Startups and smaller firms have also contributed to the overall numbers. Many of these companies rely on external funding, which has become harder to secure. When funding tightens, costs must be reduced quickly. Layoffs become one of the fastest ways to do that. Across dozens of smaller firms, cuts of 100 to 500 employees have added up to a large share of the total.
The daily pace of layoffs reflects this steady process. Depending on the tracker, between 500 and 950 workers have been affected each day on average. There are weeks with larger spikes and others with fewer announcements, but the overall direction remains consistent.
What stands out is that many of these companies are still profitable. Revenues are growing in several cases, even as headcount falls. This suggests that the layoffs are not primarily a response to losses. They are part of a broader effort to increase efficiency and redirect spending.
That redirection is visible in capital expenditure. Building data centres, acquiring chips, and supporting large-scale computing systems require large amounts of money. Companies are choosing to fund these projects partly by reducing operating costs, including salaries. The link between layoffs and AI investment is not always direct, but it is often present.
For workers, the experience is uneven. Some roles, particularly those tied to new technologies, remain in demand. Others, especially in support functions or older product lines, face greater risk. The result is a job market that feels both active and uncertain at the same time.
The current wave of layoffs does not follow a single script. It is shaped by a mix of past hiring decisions, present cost pressures, and future plans. Artificial intelligence plays a role, but it sits alongside more familiar forces: economic conditions, business cycles, and the constant effort by companies to do more with less.
