I analyzed 153,000 Tech Layoffs to see if AI is actually stealing our jobs.

Source: Dev.to

The Reality of AI-Driven Layoffs

• 14.15% were explicitly tagged as being driven by AI automation.
• 31.77% were partially attributed to it.
• 54.08% had no relation to AI.

Nearly half of all workforce reductions in this dataset involved AI in some capacity. It is not just a scapegoat; it is a measurable factor.

Where the Money Is Moving

• Legacy departments are shrinking, but the dataset also tracks open headcount.
• Hiring for roles like ML Engineers and Cloud Security Engineers is surging, with average salaries hovering near $200k.
• The jobs aren’t disappearing; they are transitioning.

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Layoffs/AI Impact

Methodology

• Dataset: 153,522 tech layoffs across 35 major companies (Jan 2025 – Feb 2026), sourced from Kaggle.
• Tool: Analyzed using NeoShift BI.
• Process: Uploaded the raw CSV; AI assisted with SQL joins and chart generation.