Workers gripped by AI job fear — the worry that artificial intelligence will erase their entire occupation — are more likely to mentally check out at work and behave badly on the job, according to Washington State University. They report showing up late, surfing the web on company time, and even pocketing a co-worker's lunch from the break-room fridge. A new study led by psychology professor Tahira M. Probst at WSU Vancouver measured the effect across 18 industries and found that the deeper the worry that a whole occupation could vanish, the more workers justified behavior they would normally consider wrong — and the more they admitted to doing it. The research was published in the journal Occupational Health Science.

"Counterproductive workplace behaviors are harmful to the interpersonal relationships within an organization," Probst said in a statement. When someone stops showing up, she explained, the extra work lands on co-workers, and time wasted on company resources drags down the whole team's ability to get things done. Probst said AI job fear damages relationships before it damages output: the harm is not just to the bottom line, she added, but to how the organization functions day to day. Her co-authors included a graduate student in psychology and researchers in Italy and Belgium, and the study was also covered by phys.org.

Losing your job is scary. Losing your occupation is worse.

The researchers drew a line between two kinds of insecurity. One is the familiar fear of being let go from a current role. The other is the belief that the occupation itself is on its way out, leaving nowhere comparable to go. AI job fear, the team argues, is distinct from ordinary layoff anxiety because it removes the escape hatch of finding the same job elsewhere. Probst offered a contrast: if the bar where you tend drinks closes, you can bartend somewhere else, because bartending is not disappearing. That is not the case for work like medical transcription, where much of the coding and transcription can now be fully automated, and where losing a job can mean losing the only kind of job you know.

That deeper worry is what the team tied to a psychological pattern called moral disengagement. "Moral disengagement is basically a way of justifying bad behavior," Probst said. People know right from wrong and know what company policy allows, she said, but AI job fear lets them reframe a shortcut or a snub as acceptable. The authors argue that employees who feel their occupation is at risk may come to see workplace norms differently, rationalizing corner-cutting or undermining co-workers as self-protection or payback for a raw deal.

The damage concentrates where AI exposure is highest

To map which industries face the most disruption, the team turned to an existing objective tool, the AI Industry Exposure index, and surveyed workers across fields with very different risk levels. Banks and insurers sat near the top of the exposure ranking, while farming and logging sat near the bottom. The pattern was clear: where AI had the greatest potential to displace tasks, the link between AI job fear, moral disengagement and bad behavior was magnified. In fields expecting fewer AI-driven changes, such as forestry and construction, the effect was muted.

That concentration matters for young workers choosing where to build a career. Entry-level jobs in heavily exposed sectors already face pressure from automation, and when AI job fear takes hold, this study suggests the anxiety itself can erode how people show up. Separate research on the same beat has found that managers now use AI daily even as their excitement fades, and that AI is giving workers time back while workloads keep growing — signs the whole workplace is in flux. The researchers' advice to employers is direct: pay close attention to how AI is discussed and rolled out, because transparency and support keep employees engaged. A workforce that understands what is changing — and is offered training for what comes next — has less reason to mentally check out.

The fear lines up with what the economy is signaling

Workers' anxiety is not purely imagined. The same week the study was released, the Federal Reserve's latest Beige Book reported that firms in five of its regional districts had trimmed staffing through attrition, paused hiring, or planned fewer new roles after investing in AI to lift productivity. A few months earlier, the same survey had described AI's effects on hiring as a mix of positives and negatives. The shift toward caution gives AI job fear a factual anchor: the automation workers worry about is already reshaping who gets hired.

For Gen Z, the takeaway is practical rather than panicky. AI job fear grows in the dark, so workers in high-exposure fields can push for specifics: ask managers what tasks are actually being automated, which skills the company will pay to teach, and what the roadmap looks like for roles like yours. Building a portable skill set — the kind that transfers even if one occupation shrinks — turns AI job fear from a warning into a playbook. And for anyone leading a team, the message is simpler still: the way you talk about AI is part of the technology's impact.