Crypto news

19.06.2026
03:56

Refusing AI at work: the risk of dismissal triples — shocking data for tech specialists

Technical specialists who ignore artificial intelligence risk their careers far more than their colleagues who actively integrate AI into their routines. According to a large-scale labor market analysis, employees who use neural networks less than once a month face a probability of dismissal three times higher compared to those who use AI at least monthly.

Numbers That Cannot Be Ignored

The survey showed a clear correlation between the frequency of AI use and job stability. Among those who lost their jobs, 62% admitted that they either did not use artificial intelligence at all or did so no more than once a year. For comparison, among those who retained their positions, this figure was only 50%. Meanwhile, 28% of working specialists actively use AI on a regular basis, while among the laid-off, this figure is only 22%.

This trend was most pronounced in the technology sector. Within the IT industry, where the level of layoffs is already high (13% of respondents lost their jobs), rejecting AI proved particularly fatal. The risk for "tech refuseniks" here is three times higher than for their colleagues who have integrated neural networks into daily tasks. In other sectors, the connection is also noticeable but less pronounced.

AI as a Marker of Readiness for Change

Notably, only 1% of respondents directly named AI as the main reason for their dismissal, although every fifth worker reported layoffs at the beginning of 2026. This suggests that artificial intelligence acts not so much as a direct cause, but as an indicator of an employee's adaptability. Companies are getting rid of those who are not ready for technological evolution, even if the layoffs are formally explained by other factors.

Researchers emphasize that the pattern holds even after accounting for age, education, and experience. This means that the skill of working with AI is becoming a new mandatory requirement, not just a competitive advantage. The coming quarters will show how strict this filter will be for the labor market.

Expert comment: The labor market is entering a new phase where AI is not just a tool, but a basic criterion for survival. For technical specialists, especially in IT, ignoring neural networks is equivalent to voluntarily giving up career growth. The ability to "befriend" algorithms is becoming as necessary as knowing a programming language or working with databases. Those who do not master this skill in the next six months risk being left behind.