FOBO – The fear of becoming obsolete
The use of AI is giving rise to a new phenomenon in many organizations: FOBO—Fear of Becoming Obsolete. The fear of
being replaced by technology is no longer limited to specific occupational groups. It extends from operational
roles all the way up to management.
This uncertainty is not always openly expressed. It manifests itself in:
- Resistance to new tools
- Hesitancy in using AI applications
- Avoiding professional development opportunities
- Withdrawal or internal resignation
FOBO is not an individual problem affecting specific employees—it is a systemic response to uncertain conditions.
Technostress: When Adaptation Becomes the Norm
At the same time, so-called “technostress” is on the rise. This refers to the constant pressure to continually adapt to
new technologies, systems, and processes.
Common triggers include:
- Constant tool changes
- Unclear expectations regarding the use of AI
- Lack of training or support
- Implicit expectations of improved performance
If this situation is not actively addressed, it can lead to burnout, declining motivation, and, in the long term,
health problems.
The Role of HR: From Implementation Partner to Safety Anchor
Transformation is not merely an IT or strategic task. Above all, it is a leadership and cultural challenge. This is where
HR plays a key role.
Organizations that actively address technostress and FOBO focus on:
Transparent communication
Employees need to understand why changes are taking place and what specific effects they will have. Uncertainty fuels anxiety—clarity reduces it.
Early involvement
Those who are involved in change are less likely to resist it. Participation fosters a sense of ownership.
Skills development instead of displacement
Training in the field of AI should not be viewed as optional, but rather as a strategic investment in each individual’s future prospects.
Psychological safety
We need spaces where people can ask questions, voice their uncertainties, and make mistakes—without losing face.
The Narrative of Augmentation
The key shift in perspective is this: AI does not replace humans—it enhances their capabilities. The future is not about “humans or machines,” but rather “humans and machines.”
Conclusion: Technology determines efficiency—culture determines acceptance
The adoption of new technologies rarely fails because of the technology itself. It fails due to a lack of acceptance,
uncertainty, and cultural resistance.
Anyone who wants to drive sustainable transformation must therefore manage both: systems and emotions. Processes and
perceptions. Technology and trust.
