Crypto news

18.06.2026
21:56

Ignoring AI triples the risk of layoffs: a labor market analysis

New Gallup data reveals a troubling trend: professionals who use artificial intelligence less than once a month face a risk of layoff three times higher than their colleagues who actively use AI. This is not just a statistic—it is a signal of a fundamental shift in the labor market, especially in the technology sector.

Numbers That Cannot Be Ignored

The survey, covering both those who kept their jobs and those who lost them, identified a clear correlation. Among those laid off, 62% admitted that they either never used AI or did so no more than once a year. For comparison, among those still employed, this figure is 50%. Moreover, 28% of those who kept their jobs "frequently use AI," while among the laid off, only 22% do so.

This pattern holds even after accounting for age, education, industry, and time since layoff. The labor market is clearly signaling: proficiency in AI is not an option, but a necessity.

Tech Sector at the Epicenter of Change

The trend is most pronounced in the technology industry, where the layoff rate is already higher than average—13% versus 6% in other sectors. Within this group, the gap between "advanced users" and "AI ignorers" reaches a threefold magnitude. Employees who have not integrated AI into their daily routine face enormous risk.

Notably, only 1% of respondents directly cited AI as the main reason for layoffs, although 21% reported reductions in early 2026. This suggests that AI acts not so much as a direct cause, but as a marker of an employee's readiness for change and adaptability.

Analyst's Conclusion

Cryptalist's opinion: The labor market in the technology sector is undergoing a harsh selection process. Ignoring AI is not just a missed opportunity, but a direct path to losing competitiveness. The coming quarters will show how painful this process will be for those who refuse to adapt. In the era of automation and digital transformation, the ability to integrate AI into work processes is becoming a key factor for professional survival.