Refusal to Use AI at Work: Risk of Dismissal in the IT Sector Triples
The labor market in the technology sector is undergoing a fundamental transformation. New data shows a strong correlation between the use of artificial intelligence and job retention. Specialists who turn to AI less than once a month face a risk of dismissal three times higher than their colleagues who actively integrate these tools into daily practice. This is not just statistics—it is a signal of a paradigm shift in professional competencies.
Numbers That Cannot Be Ignored
A large-scale study revealed a striking contrast. Among those who lost their jobs, 62% admitted that they either did not use AI at all or did so no more than once a year. For comparison, among those who retained their positions, this figure is 50%. Meanwhile, 28% of employed specialists report frequent use of AI, whereas among the laid-off, this share drops to 22%. These numbers are statistically significant, even when accounting for factors such as age, education, industry, and tenure.
This trend is especially pronounced in the technology sector. Within this group, the gap between "novices" and "active users" of AI reaches a threefold difference. In other industries, the correlation is also evident, but it is most noticeable in IT. Employees who have not integrated AI into their workflow are the most vulnerable.
No Direct Link to Layoffs, but a Marker Exists
Notably, only 1% of respondents directly attribute their dismissal to the adoption of AI. However, 21% of workers reported layoffs in their companies at the beginning of the year. This suggests that AI acts not so much as a cause but as a marker of an employee's adaptability. Companies undergoing restructuring primarily let go of those who do not demonstrate readiness for technological change.
My analysis: The market no longer tolerates inertia. AI is becoming not just a tool but a basic requirement for qualifications. Specialists who ignore this technology risk being left behind, not due to direct replacement, but because of an inability to meet new performance standards. The coming quarters will reveal how stringent this filter becomes.