Elena AgupovaPsychologist with DataArt’s corporate Helpline serviceAI Triggers Anxiety
In recent years, many people in IT live with a background feeling that’s hard to define: the sense of constantly being a little (or very) behind. That’s a normal reaction to an abnormally accelerated environment. Anxiety, fatigue, and the fear of being replaced by AI — these aren’t signs of weakness. They’re natural responses to fast and large-scale change.
AI really is developing quickly, and for our psyche that means another loss of predictability. When the rules of the game change, the brain automatically scans for threats. That’s why AI can feel less like help and more like pressure. Anxiety doesn’t come from “I can’t cope,” but from the system is changing faster than we can adapt.
AI hasn’t just added new tools. It’s changed the very structure of how we work with information. Updates now come faster than we can absorb them, and the feeling of “enough” has become blurry. That’s when our psyche loses its usual points of stability.
The Fear of Replacement
The deepest fear isn’t just losing a job — it’s losing professional value. Work is often a source of identity, recognition, and meaning. When AI questions familiar roles, the psyche reacts with existential anxiety. For many in IT, work isn’t just tasks, it’s self-definition: “I’m the one who understands complex things, whose expertise matters.” When a machine does part of that faster, the question arises: “If it can do this, where do I fit in?”
How Our Nervous System Reacts
Even if rationally we know AI doesn’t replace experience, context, ethics, intuition, or responsibility, the nervous system reacts earlier to the threat of replacement, not the fact. Especially for perfectionists or those prone to anxiety.
This can create feelings like:
- I must constantly learn and catch up,
- I must use AI better than others,
- I’m never doing enough.
It’s important to remember: using AI ≠ professional value. Speed ≠ quality of thought or decisions.
What Psychology Reminds Us
The clearer our description of reality, the more stable we feel within it. A key point: we tend to humanize AI, saying it “replaces” or “pushes out” people, as if it had free will. But AI is a tool created by humans, trained on human choices. Behind every neural network are people making decisions. Forgetting that makes us feel powerless.
Psychologically sustainable AI adoption starts with regaining a sense of control. That means clear answers: what AI does, what remains human responsibility, what expectations are realistic, where there’s room for learning and mistakes. This is called “agency” – the feeling that you’re the author of your actions. Agency reduces anxiety and helps adaptation. The author is still you.
Supporting Yourself in Times of Change
The most important thing: AI is a tool for humans. It works for you, not the other way around. Critical thinking is now more valuable than ever — both in working with AI and in deciding when and how to use it.
Don’t give AI more weight than it really has. It can suggest options, speed up analysis, reduce routine. But responsibility for choices and consequences remains human.
Supporting your own value isn’t about racing AI in speed. It’s about strengthening what can’t be automated: asking the right questions, seeing context, noticing the human factor, tolerating uncertainty, and making decisions with incomplete data. The clearer you understand AI’s boundaries and your own role, the more resilient you’ll feel.
Small but Important Steps
- Choose tools to learn consciously, not “just in case.”
- Define boundaries: where AI helps, where it hinders.
- Allow yourself not to be “perfectly adapted.”
- Notice signs of mental overload and pause in time.
Instead of a Conclusion
The era of AI is an era of uncertainty, turbulence, and learning for everyone. Yes, roles are changing. Anxiety and fatigue are normal in this process. They don’t mean you’re failing. AI doesn’t make people less competent — it just shakes the feeling of competence. The key skill of the coming years isn’t mastering endless tools, but keeping critical thinking, self-worth, and the sense that you are enough in a world where “enough” has no clear boundaries.
The real challenge isn’t the amount of AI, but how it’s integrated into work. For AI to help, we need to rethink roles, workloads, and metrics of effectiveness. And treat human attention, judgment, and decision-making as limited and precious resources.
Igor YamshanovIgor Yamshanov, Head of BA, Media & Entertainment PracticeMany people react to AI by trying to keep up with everything: new tools, new prompts, new frameworks. It feels productive, but in practice it often leads to shallow understanding and very little real change. Learning without context rarely turns into capability.
That does not mean broad curiosity is bad. It means that without priorities, it is easy to confuse exposure with progress. This is also why the IMF’s 2026 work is useful here: it frames the issue not as “learn more,” but as a shift in which skills now create value. And recent research on AI dependence and critical thinking adds another caution — higher reliance on AI can be associated with weaker critical thinking outcomes, which makes selective, context-based learning even more important.
The more useful question is not “what’s new in AI?”, but “what part of my work is changing, and where do I need to go deeper?” Because once AI starts handling parts of your execution, your bottleneck shifts. Less time is spent on producing output.
More value comes from: defining the problem correctly, setting priorities, identifying what actually matters, understanding the domain well enough to challenge outputs. This is where learning becomes selective.
Not everything is worth learning. Only what helps you operate at a higher level of abstraction, make better decisions, and work effectively with AI as a multiplier.
A simple pattern works better than broad exploration:
- Start with a real task.
- Use AI to accelerate part of it.
- Notice where you still struggle.
- That is where your next layer of learning should go.
The goal is not to know more about AI. It is to move your value into areas that AI cannot easily replace.
AI does not just change how fast you work. It changes what kind of work is actually valuable. And unless priorities and scope are adjusted accordingly, speed turns into pressure, not into better outcomes.
Viktoriya ZinovyevaViktoriya Zinovyeva, Project Manager, Product OwnerMindfulness never hurts, especially when it comes to learning. You don’t need to study everything, and honestly, it’s impossible anyway. To invest time in learning that pays off, you either clearly understand what material return it will bring or you do it simply because you’re curious and enjoy exploring things.
There’s a productivity trap: if you can do more, you end up getting more work. Or you invent extra busy work for yourself (that’s where rereading Essentialism book might help). That’s not a good path. The goal isn’t to work more, but to work smarter. Focus on what really matters — the things you love doing and things you do well. For everything else, there’s an AI.
