Ignoring AI triples the risk of layoffs: new labor market data
The labor market is delivering a harsh lesson to technical specialists: refusing to use artificial intelligence (AI) triples the likelihood of being laid off. Analysts reached this conclusion through a large-scale survey that revealed a clear correlation between the frequency of AI use and employment stability.
The data shows a deep divide within an already unstable industry. Employees who used AI less than once a month were three times more likely to face layoffs than their colleagues who actively used the technology at least monthly. The study showed that the key factor in retaining a job is not just position or specialization, but also the regular application of AI in work processes.
Numbers that speak for themselves
Among laid-off specialists, 62% admitted to using AI no more than once a year or not at all. For comparison, among those who kept their jobs, this figure was 50%. Meanwhile, 28% of employed respondents said they frequently use AI, while among those who lost their jobs, this was only 22%. This pattern holds even when adjusted for age, education, industry, and time since layoff.
The situation is particularly acute in the technology sector. The share of laid-off workers here is 13% of total employment, compared to just 6% in other sectors. Within this group, the risk of layoff for those who ignore AI was three times higher than for active users. In other industries, the correlation is also present but less pronounced.
Notably, only 1% of respondents directly named AI as the main reason for their layoff, although 21% of workers reported layoffs in early 2026. This suggests that AI acts not so much as a direct cause, but as a marker of an employee's adaptability and readiness for change.
Expert commentary: The labor market in the technology sector is undergoing a tectonic shift. AI has ceased to be an option—it is becoming a basic tool, proficiency in which directly affects a specialist's competitiveness. Those who ignore this trend risk not just falling behind, but becoming the first candidates for downsizing. The coming quarters will show how painful this lesson will be for those who continue to avoid integrating AI into their daily work.