Change has never been so fast. And it has never been so difficult to accept.
According to a Gartner survey, 74% of employees were willing to change their workplace behaviors to support organizational changes in 2016. This figure dropped to 38% in 2022.
In ten years, willingness to change has been cut in half. While transformations are accelerating, human resistance is intensifying.
This paradox lies at the heart of one of the most complex challenges facing modern organizations. And AI is amplifying it.
What AI is changing in change management
Artificial intelligence is transforming how organizations manage their transformations.
Concretely, it enables organizations to:
- Anticipate resistance: sentiment and behavior analysis tools can detect early signs of resistance before they solidify;
- Personalize communication: deliver the right message, at the right time, to the right person, taking into account individual profiles and concerns;
- Train faster and more effectively: AI platforms adapt training content to each employee’s pace and level;
- Measure adoption in real time: track who is adopting a new tool or process and adjust support accordingly;
These capabilities are valuable. They allow better management of transformations and reduce blind spots.
But they do not answer the central question: why do people resist change, and how can we help them become active participants rather than passive recipients?
Pierre, or the one who waited for it to pass
Pierre is an operations manager in an industrial SME. Experienced and respected, he has gone through several transformations in his career. When management announced the integration of a new AI tool for inventory and forecasting, he nodded in meetings and continued working as before.
It was not unwillingness. It was fear.
Fear of no longer being the expert. Fear of losing control over a domain he had mastered for fifteen years. And also the fear of not succeeding—without ever putting it into words.
Six months later, two of his colleagues had fully adopted the tool. Pierre, however, continued doing manual double-checks and did not fully trust the predictions. The tool was there, but Pierre had not yet changed.
It was a change management workshop focused on emotions and beliefs that unlocked something. Not by explaining the tool better, but by helping him understand what within him was resisting.
What AI will never do for you
Becoming an active participant in change is an inner process.
AI can map resistance, but not dissolve it. That requires real human skills:
- Identifying your fears in the face of the unknown: what does this change really threaten for me?
- Developing tolerance for uncertainty: learning to act without having all the answers;
- Distinguishing what you can control from what you cannot and focusing your energy on the former;
- Building a learning mindset: seeing change as an opportunity rather than a threat;
- Positively influencing those around you: becoming a driver of change rather than a silent obstacle.
These skills can be developed. They are not innate and can be learned at any age and at any level.
Supporting change means supporting people
According to a McKinsey study, 70% of digital transformations fail due to a lack of attention to the human factor. Technology is never the main problem. It is always the human element—not because people are “bad,” but because they need support.
In an environment where AI is transforming jobs at an unprecedented speed, the ability to become an active participant in change is no longer optional. It is a professional survival skill.
Our training programs support exactly this journey: understanding your resistance, developing an agile mindset, and learning to navigate transformations not by enduring them, but by co-creating them. Because companies that succeed in their transformations are not those with the best tools, but those whose teams choose to take part.
Want to learn more? Discover our training “How to become an active participant in change.”
