At least 127,998 tech sector employees have been laid off since January 2026, according to new research from TradingPlatforms.
The research found that roughly 60% of those cuts are directly attributed to AI adoption, rather than economic headwinds alone. Of the total recorded layoffs, 76,979 have been linked to AI investment and automation infrastructure.
Buyt the artificial intelligence framing behind many of these announcements deserves closer scrutiny. Stanislava Savisheva, analyst at TradingPlatforms, says the reality is more complicated.
“Artificial intelligence has become the defining narrative behind this year’s tech sector layoffs, but the picture is more complex than the headline suggests,” Savisheva says. “In some cases, it is genuinely reshaping workflows and reducing the need for entire operational layers, particularly in areas such as customer support, basic coding, moderation and back-office functions.”
However, in other cases, “AI restructuring” is being used to justify large-scale cost reductions. This is happening even as companies increase investment in infrastructure, cloud and automation, according to Savisheva.
Where is the investment going?
The data also says companies are actively reshaping their “talent pyramid” to reduce reliance on large, junior-heavy workforces in favor of more specialized teams. This raises longer-term challenges for HR around early-career hiring pipelines, succession planning and internal mobility.
At the same time, many firms are reallocating investment toward higher-skilled positions in artificial intelligence, cybersecurity and cloud infrastructure. This adds to the growing tension between layoffs and hiring, requiring HR leaders to make decisions around reskilling versus hiring from the outside. Meanwhile, they are also handling the challenging job of managing internal perceptions and employee trust.
“The shift is reducing demand for entry-level roles while concentrating hiring in higher-skilled technical positions, even as parts of the workforce adapt to new AI-focused career paths,” Savisheva says. This suggests that job architecture and compensation structures built around traditional entry-level progression may need to be revisited to help employees transition into evolving roles rather than being displaced by them.
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