New AI models, new applications, and new success stories emerge almost daily. Anyone following the debate might get the impression that the most important question for the future is: Which technology will prevail?
For tech companies, this is, of course, also crucial and the right approach. However, in addition to asking, “Which system is the best?”, more and more other companies are also asking, “What skills do my employees need to use it?” After all, even when using the same tools, people arrive at very different results with the help of AI.
So why is that?
While some people use AI primarily to complete tasks more quickly, others use it to develop ideas further, broaden their perspectives, or make more informed preparations for complex decisions.
So the differences tend to arise not from the technology used, but from the people who use it.
If two people use the same application with a prompt that sounds similar, their responses will also be comparable. If one of them accepts the result almost unchanged, the result remains as suggested by the AI. However, if they review the assumptions, ask follow-up questions, add their own experiences, take the target audience into account, etc., they create something unique.
So it’s worth taking a broader view.
The quality of the results depends increasingly on the skills of AI users:
- Who can identify flaws in an argument?
- Who questions conclusions that seem plausible?
- Who understands the needs of the target audience?
- And who takes responsibility for the decision at the end of the process?
Our Competency Pyramid for AI Adoption
To make this connection more tangible, we have developed a competency pyramid. It describes five levels of successful AI use.
- Guidelines & Safety: What am I allowed to do? What am I not allowed to do?
- Operation & Prompting: How Can I Use AI Effectively?
- Target Audience Focus: Does the result help the people it is intended for?
- Critical Thinking: Is the result logical, sound, and complete?
- Human Sovereignty: What decisions do I make, and for what do I take responsibility?
The first two levels lay the necessary foundation. People need to know what rules apply, what risks exist, and how to use applications effectively.
However, the real added value comes from the higher levels. That’s because these levels involve skills that cannot be automated. A text can be written in just a few minutes and still fail to resonate with its target audience. A presentation can appear professional yet be based on false assumptions, and so on.
The better AI becomes, the more important the skills it cannot replace will become:
- Judgment.
- Understanding the Target Audience.
- Critical Thinking.
- Ability to take responsibility.
Therefore, the future does not automatically belong to the organizations with the most or the best tools. It belongs to those who empower people to use these tools thoughtfully and responsibly.
What does this mean for leadership?
It is no longer enough to deploy applications, formulate guidelines, or offer individual training sessions. Just as important is the question of what kind of culture of collaboration is emerging:
- What should AI be used for?
- How can we tell if the result is good?
- Where do we expect critical scrutiny?
- And who is responsible for the final decision?
Leadership must provide guidance here and create spaces where people can gain experience and develop new ways of working.
Our Conclusion
Anyone who invests exclusively in technology today is investing in only part of the solution. The real challenge for the future lies in further developing human capabilities.
👉 Download the competency pyramid as a one-pager here .