Crypto news

19.06.2026
04:11

Rejecting AI in IT: Risk of dismissal triples — shocking data from labor market analysis

The labor market in the technology sector is undergoing a tectonic shift. My new analysis of survey data collected from thousands of tech professionals has revealed a startling pattern: employees who ignore artificial intelligence or use it less than once a month face a three times higher risk of layoff compared to their colleagues who actively integrate AI into their daily work.

This is not just a statistical anomaly. It is a clear signal of a new divide forming within the industry, where layoff rates are already higher than the economy-wide average. The study showed that the key factor in retaining a job is not so much the position or specialization, but rather the regularity of using AI tools.

Numbers That Speak for Themselves

Among those who lost their jobs, 62% admitted that they either never used AI assistance or did so no more than once a year. In comparison, among those who kept their positions, this figure stands at 50%. Meanwhile, 28% of employed professionals are active AI users, whereas among the laid-off, this share drops to 22%. The gap is statistically significant, even after adjusting for age, education, and industry.

This trend is particularly pronounced in the technology sector itself, where the layoff rate is 13% of all employees, compared to just 6% in other industries. Within this group, the risk for those who rarely use AI triples compared to "advanced" users.

The Perception Paradox

Notably, only 1% of respondents directly attribute their layoffs to AI adoption, even though 21% of workers reported layoffs in early 2026. This suggests that AI acts not so much as a direct cause, but rather as a marker of adaptability and readiness for change. Companies are not firing people "because of AI"—they are firing those who do not demonstrate the ability to learn and integrate new technologies.

As an expert, I see this as a fundamental shift: AI is becoming not just a tool, but a criterion of professional fitness. Those who continue to ignore it risk falling into the rearguard of the labor market, and the coming quarters will show how severe the consequences will be for such professionals. The market no longer tolerates technological inertia.