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Yes—fear that AI could make an entire occupation obsolete is associated with more harmful workplace behavior. A Washington State University-led study reports that workers with greater occupation insecurity were more likely to morally disengage and to report counterproductive actions such as browsing the web during work, arriving late, cutting corners or undermining colleagues. The finding describes a pattern in survey data, not proof that every anxious worker will misbehave or that AI exposure itself causes misconduct.
What the study found
The peer-reviewed study, “In the Shadow of AI: How Industry Exposure to AI and Occupation Insecurity Fuel Moral Disengagement and Counterproductive Work Behaviors,” was published in Occupational Health Science on September 9, 2026. It examined workers across 18 industries and combined employee reports with an objective industry-level index estimating how much an industry’s tasks could be affected by artificial intelligence.
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Workers who feared that AI threatened their occupation—not merely that one employer might fail—reported more moral disengagement and more counterproductive workplace behavior. The Washington State University release describes counterproductive behavior as conduct that harms an organization or its people, including slacking, cutting corners and undermining others.
The available publication summary does not report an effect size, prevalence estimate, sample-size figure or confidence interval. The result should therefore be read as an association observed in this study, rather than a prediction of how often misconduct occurs in the workforce.
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How fear can turn into misconduct
Occupation insecurity comes first
Occupation insecurity is the belief that the work a person’s occupation is built around may become obsolete. That is different from worrying about a particular company’s finances or a temporary layoff. The perceived threat is directed at the occupation itself.
Moral disengagement supplies the justification
The researchers identify moral disengagement as the psychological bridge between insecurity and behavior. It allows someone to reinterpret conduct they would normally consider wrong as acceptable, necessary or deserved. Tahira M. Probst, a WSU Vancouver psychology professor and the study’s lead author, summarized it this way: “Moral disengagement is basically a way of justifying bad behavior.”
A worker who believes an organization is preparing to discard their occupation may recast reduced effort as self-protection, treat cutting corners as compensation for an unfair threat, or view undermining a rival as defensive action. Those interpretations do not make the conduct harmless; they explain how ordinary workplace standards can be weakened under perceived threat.
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The study’s examples include non-work web surfing, lateness, corner-cutting and actions that damage coworkers. Probst also noted that “Counterproductive workplace behaviors are harmful to the interpersonal relationships within an organization.” The survey design captures what workers reported about themselves; it does not establish that fear directly caused each behavior.
Why industry exposure changes the pattern
The researchers used an existing AI Industry Exposure index to estimate the potential for AI to displace tasks in different industries. The relationship between occupation insecurity, moral disengagement and counterproductive behavior was stronger in industries with greater expected exposure.
| Industry comparison | Expected AI exposure in the study’s framework | Reported pattern |
|---|---|---|
| Finance and insurance | Among the highest-exposure industries | Effects were magnified |
| Agriculture and forestry | Among the least-exposed industries | Lower exposure provided less pressure for the pattern |
| Forestry | Lower exposure | Effects were less pronounced |
| Construction | Lower exposure than the highly exposed fields | Effects were less pronounced |
These categories describe industry-level task exposure, not an individual worker’s probability of replacement. A highly exposed industry can contain roles that change little, while a lower-exposure industry can still have particular jobs affected by new tools.
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What the evidence does—and does not—show
- It shows: In this 18-industry study, greater fear that AI threatens an occupation was linked with more moral disengagement and self-reported counterproductive behavior.
- It suggests: The link may be stronger where the industry’s task mix is more exposed to AI, with finance and insurance showing a stronger pattern than lower-exposure fields described in the release.
- It does not show: A specific percentage of workers who will misbehave, a universal effect size, or proof that AI adoption causes misconduct.
- It does not show: That every worker who worries about AI will slack off, arrive late or harm colleagues.
Because the findings rely on worker-survey responses and industry exposure estimates, they cannot by themselves separate cause from correlation. For example, poor communication, existing job stress or other workplace conditions could influence both insecurity and behavior. The study’s publication summary does not provide the statistical tables needed to quantify those alternatives.
What employers should do about AI-replacement anxiety
Explain the change, not just the technology
Employers should tell workers which tasks are being automated, which responsibilities are changing and how decisions will be made. Vague warnings about “AI transformation” can leave employees to assume the most threatening outcome: that their occupation will disappear.
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Provide credible support
Support can include training for redesigned tasks, time to learn new systems, opportunities to use existing expertise and clear routes for asking questions. The goal is not to promise that no job will change; it is to give employees a realistic path through the change.
Protect voice and fairness
Workers need ways to raise concerns about workload, evaluation and errors introduced by automated systems. Transparent criteria for redeployment, promotion and layoffs can reduce the sense that cutting corners or undermining others is the only available protection.
Monitor behavior without stigmatizing fear
Managers should address lateness, sabotage or quality problems through normal, consistent policies. They should not treat anxiety about AI as evidence of bad character. Separating the legitimate concern from the unacceptable conduct makes it easier to intervene before moral disengagement becomes normalized.
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The WSU release states that employers should pay attention to how they discuss and implement AI so employees remain engaged and supported. That recommendation follows the study’s proposed mechanism: reducing avoidable insecurity may limit the conditions in which harmful conduct is rationalized.
Why this matters as AI adoption expands
The study shifts attention from a familiar question—whether AI can perform particular tasks—to a workplace consequence of perceived replacement risk. Even when an organization’s technical plans are limited, employees’ beliefs about occupational survival can affect trust, effort and relationships. Communication and transition support therefore become part of operational risk management, not merely public-relations work.
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