Technology Gap: Refusing AI Triples the Chances of Layoffs
The labor market in the technology sector is undergoing a tectonic shift. According to the latest data from a large-scale survey, tech professionals who use artificial intelligence tools less than once a month face a risk of layoffs three times higher than their colleagues who actively use AI. This is not just a statistic—it is a clear signal that adapting to new technologies is becoming a key factor for survival in the profession.
The study revealed a deep divide within an industry that already leads in the frequency of layoffs. Among laid-off employees, the share of those who "hardly used AI" (no more than once a year or never at all) was 62%. For comparison, among those who retained their jobs, this figure stood at 50%. Meanwhile, 28% of employed professionals said they "frequently use AI," whereas among the laid-off, only 22% did. This pattern persists even after adjusting for age, education, and industry—indicating its fundamental nature.
Where AI-driven layoffs have become widespread
The situation is most acute in the technology sector itself. Here, the share of laid-off workers is 13% of total employment, while in other industries this figure does not exceed 6%. Within the tech industry itself, the gap between "advanced AI users" and "AI refuseniks" is at its maximum. The risk of layoffs for the latter is three times higher than for those who have integrated artificial intelligence into their daily routine.
Notably, only 1% of respondents directly cited AI as the main reason for their layoff. However, this does not negate the fact that 21% of workers already reported layoffs in early 2026. Artificial intelligence acts not so much as a direct cause, but as a marker of an employee's readiness for change. Companies favor those who can effectively work with new tools, boosting their productivity.
Analyst's opinion: The Gallup data is a cold shower for those who still consider AI a temporary trend. The tech labor market has already entered a new phase where proficiency in AI tools is not an advantage but a baseline competency. In the coming quarters, we will see those who ignore the technology being pushed out faster. This is not about the future—it is about the present.