This paper presents a systematic empirical analysis of layoffs in the global technology sector spanning 2024 through March 2026, drawing on the complete Layoffs.fyi dataset—4,305 verified records sourced exclusively from public media reports—cross-validated against data from TrueUp.io, TechCrunch, Challenger Gray 123,000–126,000 on narrower Layoffs.fyi definitions), and 52,048+ in the first 60 days of 2026 (144+ companies). AI and automation are explicitly cited as primary drivers in 25–28% of 2025 events and an estimated 30%+ of early-2026 events. Projections by Goldman Sachs suggest that generative AI could impact up to 300 million jobs globally, while the World Economic Forum simultaneously forecasts 170 million new roles created by 2030 against 92 million displaced—a net positive balance contingent on rapid and large-scale reskilling. The analysis concludes that the ongoing contraction constitutes a structural transformation rather than a cyclical correction and draws implications for talent resilience, innovation ecosystems, and evidence-based policy responses aimed at mitigating long-term disruption.
Zen Revista (2026) studied this question.