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Tens of thousands of jobs are disappearing, but behind the numbers there is a broad restructuring in which artificial intelligence is both a cause and a catalyst shaping the entire tech labor market. From Meta and Microsoft to Oracle and Block, tens of thousands of workers have been affected.
Against this backdrop, a key question is whether AI is the main driver of these layoffs and whether the changes are temporary or will redefine the tech labor market in the long term. The reality is that the answer is not simple: multiple overlapping factors are at work, including post-pandemic realignments and large-scale investment in AI. Some pressures may be cyclical, but structural changes could prevent the sector from returning to its previous state.
Recent figures highlight the scale of the disruption. Meta continues to cut 8,000 jobs, while Microsoft proposes buyouts of long-tenured employees. Oracle has laid off thousands, and Block has announced a 40% reduction in its workforce.
While these moves create pressure and uncertainty for workers, experts say the figures should be viewed within a broader context. Challenger, Gray & Christmas reports that the 2023 U.S. tech layoff wave was even worse than three years earlier. However, compared with the Great Recession of 2008–2009, the current decline is not the worst in history.
The layoffs are accompanied by a rapid but selective reduction in roles, while demand for software developers continues to rise this year. At the same time, AI investment is accelerating: major companies are spending billions to build data centers and develop new models. Analysts forecast that this investment cycle could peak around 2028.
After that, as financial pressures ease, companies may resume expanding recruitment. In parallel, the “AI gap” is emerging, with many companies pausing hiring to test automation tools.
Although AI is often blamed for job losses, Challenger, Gray & Christmas found that AI accounts for roughly a quarter of total cuts this year. This suggests that most layoff decisions still reflect economic and strategic considerations rather than AI alone.
Kathy Ross, senior analyst at Gartner, said the current rounds of layoffs are not necessarily a direct consequence of AI success. Instead, they reflect resource reallocation: cutting in some areas to invest more in AI, with the expectation of future growth.
Even with cyclical factors in play, AI is driving deep and lasting changes in the tech labor market. Some jobs may disappear permanently, particularly roles that are repetitive or process-driven, such as customer service. AI systems can perform these tasks at lower cost and with higher efficiency, creating a shift that is difficult to reverse.
In Silicon Valley, the concept of “builders” is becoming more prominent. AI tools can take on tasks previously done by humans, including data analysis, process coordination, and task management. This can reduce demand for supervisory or maintenance roles, while increasing the importance of people who can create, design, and develop products.
The transition is also associated with new job categories. For example, tools like Claude Code are contributing to the emergence of a “design producer” role—focused on creating and improving product quality using AI to amplify productivity rather than managing people in traditional models.
Robotics-related work is another area expanding. “Robot operators” would be responsible for operating, repairing, and training automation systems, potentially forming a new field in the AI era.
For workers, the challenge is that skills once considered stable may become obsolete. Adaptability, creativity, and the ability to work with AI are increasingly described as decisive factors.
At the same time, technological revolutions historically both destroy and create jobs. The central issue is not whether AI will replace humans, but how it will change the way people work.
In the near term, the tech sector may continue to experience strong volatility. In the long term, a new ecosystem of work is forming in which AI is not only a tool, but also a “colleague” that reshapes how companies operate. The biggest question now is not only how many jobs AI will take, but whether workers can adapt to become part of that future.
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