The chain of AI fears

Fear of Missing Out (FOMO) is a familiar psychological experience. It describes the uneasy feeling that others are enjoying experiences, opportunities, or achievements that we are not part of. With the rise of social media, this feeling has intensified. Continuous exposure to selected highlights of other people’s lives has created a constant comparison loop, often leading to anxiety, distraction and even compulsive digital engagement. Today, however, FOMO is evolving into a new form shaped by AI.

We are beginning to experience what might be described as a form of AI-driven FOMO, the fear of missing out on the opportunities and capabilities offered by AI. Unlike traditional FOMO, this is not only about social experiences, but about productivity, relevance and even professional survival. Many individuals now feel pressure to use AI not just within their expertise, but also beyond it, simply to keep pace with accelerating technological change.

This raises an important question: is this adaptation a necessary step towards efficiency, or is it another layer of anxiety being amplified by technology itself?

At its core, this reflects a shift in how we relate to progress. The faster innovation moves, the more pressure individuals feel to constantly upgrade their skills, tools and ways of working, sometimes without clear direction or boundaries. AI, in this sense, does not only offer capability; it introduces a new kind of urgency.

At the same time, a contrasting fear is emerging: the fear of exposure through AI systems. As organisations and individuals adopt powerful AI tools, concerns about data privacy, security and control are increasing. Ironically, many of the same global technology companies that provide email, search engines and cloud services are now also delivering advanced AI systems. So why does trust feel more fragile now?

The answer may lie in perception. AI does not only process information; it amplifies uncertainty. Its scale, autonomy and generative capabilities make users question what is being collected, how it is used and who ultimately controls it.

What emerges, therefore, is a paradoxical psychological state. On one side, there is the fear of missing out on AI-driven opportunities. On the other hand, there is the fear of being exposed or losing control through the same systems.

We are no longer dealing with a single fear of technology, but a chain of competing fears that define our relationship with AI, pulling us simultaneously towards adoption and hesitation.

In the end, perhaps the challenge is not to resolve these fears, but to recognise how closely they are tied to the way we now experience progress. Every major technological shift has carried its own sense of uncertainty, yet it is often this uncertainty that reshapes how societies adapt, learn and redefine balance. AI may be accelerating this tension, but it is also revealing something deeper about us: our constant negotiation between opportunity and control, between speed and understanding. And within that space, the way forward slowly becomes clearer.