How AI Anxiety Is Reshaping Employee Behavior
The conversation about AI and jobs has mostly focused on whether artificial intelligence will replace workers. But there are other concerns right now. AI hasn’t replaced most workers yet. But the fear of it is already changing how millions of people behave at work every day.
Workers are staying in jobs they’d otherwise leave. They’re putting in longer hours to prove they can’t be automated away. Some are hoarding knowledge rather than sharing it. Survey data from multiple large-scale studies back these behavioral shifts, and they’re happening right now across industries and experience levels.
The practical effects of AI anxiety, how it’s reshaping retention, productivity, and workplace culture, matter just as much as the technology itself. For business leaders, understanding these behavioral changes is the difference between managing a workforce through a transition and losing the effort of their best people before anyone is actually replaced.
How Widespread Is AI Anxiety?
The short answer is that it’s not a niche concern anymore. A Pew Research Center survey of 5,273 employed U.S. adults, conducted in October 2024, found that 52% of workers are worried about the future impact of AI in the workplace. Only 36% said they feel hopeful. And 32% believe AI will lead to fewer job opportunities for them personally in the long run.
The issue exists globally. ADP Research’s Today at Work 2026 report, based on a survey of more than 39,000 workers in 36 countries, found that job insecurity hits hardest at the bottom of the org chart. Among individual contributors, just 18% felt secure. Even among C-suite executives, only 35% felt confident their role was safe.
Among self-identified job huggers in a ResumeBuilder.com survey of 2,188 U.S. workers, 70% said they worry AI will affect their job security within the next six months. Most of these workers haven’t been directly threatened by AI. They’re responding to the possibility, and that’s enough to reshape how they show up at work.
What makes this unusual is the gap between perception and reality. Most workers haven’t been affected by AI yet. The Pew data found that only 16% of workers say at least some of their work is currently done with AI. The anxiety is running well ahead of actual displacement, but the behavioral consequences don’t wait for the threat to materialize.
How AI Fear Is Keeping Workers in Place
One of the clearest behavioral effects of AI anxiety is that workers are staying put in jobs they might otherwise leave.
Our job hugging statistics report tracks this trend in detail. ResumeBuilder.com found that 57% of U.S. workers now identify as job huggers, up 12 points in just five months. Among those job huggers, 63% said they’re concerned about being laid off in the next six months. And more than 80% said they’d worry about being the first one cut if they joined a new company, the classic “last in, first out” fear.
The Bureau of Labor Statistics JOLTS data backs this up from a different angle. The U.S. quit rate held at 2.0% through the end of 2025, near the lowest it’s been since 2016 outside of the initial COVID lockdown. Workers aren’t moving, and AI anxiety is one of the reasons.
Challenger, Gray & Christmas reported that AI was cited as the reason for 54,836 job cuts in 2025. That’s a relatively small fraction of the 1.2 million total announced cuts that year. But the headline number creates an outsized psychological impact. When workers see “AI layoffs” in the news, they don’t calculate percentages. They internalize the possibility that it could happen to them.
Overworking as Self-Preservation
AI anxiety isn’t just keeping people frozen in place. It’s also pushing them to work harder, not out of engagement, but out of self-defense.
The ResumeBuilder.com data found that 52% of job huggers are working longer hours than they normally would. Another 45% have taken on responsibilities outside their core role, and 35% have taken less time off than usual. These aren’t people who love their jobs so much that they can’t stop working. These are people trying to make themselves harder to cut.
The logic is intuitive. If layoffs come, the person working late and volunteering for extra projects looks more valuable than the one leaving at 5:00. But this kind of fear-driven productivity creates its own problems. It’s unsustainable, and it doesn’t produce the kind of creative, engaged work that actually makes teams effective.
The data on stress reinforces this. Our quiet quitting statistics report found that, according to Gallup’s research, 56% of actively disengaged workers reported high daily stress, compared to 30% of engaged employees. When people are working under sustained anxiety rather than genuine motivation, burnout follows. And ADP data tells us that workers who feel their employer is investing in their skills are 5.3 times more likely to feel their jobs are secure.
💡Pro Tip
If you’re noticing employees working longer hours and volunteering for extra projects unprompted, don’t assume it’s a sign of engagement. In the current environment, it could be a sign of fear. Fear-driven productivity is unsustainable and tends to collapse all at once rather than tapering off gradually. Ask your team directly how they’re feeling about AI’s impact on their work. You might be surprised how much relief a candid conversation can provide.
The Visibility and Knowledge-Hoarding Response
Performative visibility is another issue. Some workers are making sure they’re seen, not because their work demands it, but because they want to be top of mind if cuts happen. Staying late, responding to emails at odd hours, or volunteering for high-profile projects. The goal is self-preservation through presence. In an environment where 19% of workers have even complied with return-to-office mandates they wouldn’t have otherwise accepted, the willingness to sacrifice personal preferences for visibility is well documented.
The second is knowledge hoarding, and it runs directly counter to what organizations need right now. If your value is tied to being the only person who understands a particular process, system, or client relationship, sharing that knowledge freely can feel like making yourself dispensable. In a normal environment, knowledge sharing is how teams get stronger. In an environment saturated with AI anxiety, it can feel like giving away the one thing that makes you irreplaceable.
This is particularly counterproductive because broad-based upskilling and knowledge sharing are exactly what organizations need to integrate AI effectively. The fear of AI is, in some cases, slowing down the very adoption it’s supposed to be a response to.
What This Means for Employers
The workforce isn’t sitting still while AI reshapes industries. Workers are already adapting, but many of their adaptations are defensive and counterproductive for both sides.
Low turnover may look like stability on a dashboard, but the MetLife 2026 Employee Benefit Trends Study found that only 50% of employees who stay out of necessity are actively engaged. That means employers could be looking at strong retention numbers while half their workforce is mentally checked out.
Overwork-driven productivity will eventually reverse as burnout accumulates. Knowledge hoarding will slow down AI integration. And when the labor market eventually loosens and fear subsides, the employees who stayed out of anxiety, not loyalty, will be the first ones to leave.
The practical response involves a few things. Transparency about AI’s role in the organization is the starting point. Workers need to hear from their direct managers, not just from company-wide announcements, about what’s changing and what isn’t. Investment in reskilling gives workers a reason to feel confident instead of fearful. And the quiet quitting research shows that 41% of disengaged workers said better engagement and culture would improve their workplace, making it the single most-requested change. In the context of AI anxiety, that engagement starts with honest, specific conversations about the future.
Don’t let AI strategy conversations happen exclusively at the leadership level. When employees hear about AI plans through press releases or all-hands slides rather than from their own manager, the anxiety fills the information vacuum. Even if you don’t have all the answers about how AI will affect specific roles, saying that directly is better than saying nothing. The ADP data is clear on this. Workers who felt their employer was investing in them were dramatically more likely to feel secure, and that feeling of security translated directly into higher engagement.
