Tech Workers Who Skip AI Face Triple the Layoff Risk

Technology professionals who avoid artificial intelligence tools are placing themselves at significantly higher risk of job loss, according to new research that quantifies the employment consequences of AI hesitancy.

A Gallup survey found that tech sector employees in the United States who use AI less than once per month face an 18 percent probability of being laid off—three times the 6 percent rate experienced by colleagues who use AI regularly. The pattern holds across industries, though the gap narrows outside technology roles.

The data behind the divide

The findings draw from a February survey of more than 23,000 workers nationwide, including 660 who reported being laid off due to job elimination. The research controlled for age, education level, and profession, indicating that AI usage itself—not demographic factors—drives the disparity in layoff vulnerability.

Employers are actively reinforcing this trend. Companies are increasingly pushing current employees to adopt AI tools while screening job candidates for AI experience during hiring processes. What was once considered a nice-to-have skill is rapidly becoming a fundamental criterion in workforce reduction decisions.

Why it matters

This research provides the first clear quantification of how AI adoption directly correlates with job security in the current market. For technology leaders making workforce planning decisions, the data suggests that AI training programs may be as critical to retention as they are to productivity. For individual workers, the message is unambiguous: AI fluency is no longer optional for career stability, regardless of role or seniority.

A broader employment context

The survey offers one piece of encouraging news: overall job elimination activity appears to be moderating. Only 21 percent of respondents reported their employers were cutting positions in the first quarter of 2026, well below the peaks recorded between mid-2022 and late 2025. However, among those reductions that do occur, AI usage patterns are emerging as a decisive factor in who stays and who goes.

The implications extend beyond individual job security. Organizations that fail to systematically upskill their workforce in AI capabilities may find themselves inadvertently selecting against employees based on tool adoption rather than core competencies—a pattern that could have long-term consequences for both talent retention and competitive positioning.

The research was first reported by Inc., based on Gallup's analysis of employment trends and AI adoption patterns across the U.S. workforce.