AI Leadership Requires a New Digital Approach

In Germany, education is governed by the school laws of each individual federal state, and school leaders bear significant institutional responsibility for how their schools respond to technological change.

How School Leaders Can Shape AI Change

When I speak with colleagues about artificial intelligence in schools today, I often sense two emotions at the same time: curiosity and uncertainty.

Many school leaders recognize that AI will change schools as a system, yet hardly anyone feels truly prepared. At this point, the question is still often whether schools need to change and whether they can simply continue as before. I am convinced, however, that the more useful question is how we can lead and shape this change.

Leading a school in the age of AI often means leaving familiar patterns behind and reconsidering many aspects of school life. Introducing tools or digitizing processes is no longer enough. We need to understand digital transformation as a question of mindset—a leadership responsibility that affects thinking, structures, and culture alike.

Leadership in motion: Between stability and change

Schools are complex organizations that depend on continuity. Timetables, assessments, and committees all provide stability. At the same time, technological development demands change at a pace that established institutional rhythms often cannot accommodate. Rapid progress in artificial intelligence therefore meets a school system whose processes can be slow by design. Tension and uncertainty are inevitable.

Good leadership in this environment does not mean accelerating change without reflection or resorting to blind action. It means making change understandable and shapeable. For me, AI leadership is not a strategy for maximizing efficiency, but a mindset. It connects educational responsibility with technical understanding and systems thinking.

I experience this process every day at my school. Years ago, we began framing school development digitally, first with iPads and a cloud-based working structure. The guiding principle was always that processes mattered more than particular tools. With the introduction of AI tools, however, that perspective had to change fundamentally: away from tool management and toward leadership that enables learning processes, including for the adults in the system.

An AI competency model for school leadership

In my work, I have tried to give this change a structure. The result is an AI competency model for school leadership, adapted from the competency model for educators and learners developed by Falck, Flick, Schulz, and Alles. It describes four core competency areas that define my understanding of leadership in the AI era:

1. Understand: Build foundational knowledge of how AI works, its opportunities, and its risks.
   School leaders do not need to be AI experts, but they need enough orientation to make informed decisions.

2. Apply: Integrate AI into administrative and educational processes.
   This includes using AI tools for organization, communication, and documentation as well as applying them thoughtfully in instruction. It also matters for leading by example, because school leaders model practices for their staff.

3. Reflect: Consider ethical, legal, and educational questions.
   How do roles, responsibility, and trust change in an AI-assisted school?

4. Co-create: Establish the conditions and structures in which AI can support learning. That means empowering teams, enabling professional development, preserving participation, and fostering a culture of experimentation. Creating psychological safety in an uncertain environment is a responsibility of the leadership team.

These four dimensions are not a rigid checklist, but a framework for orientation. They help professionalize leadership without losing sight of the educational core.

From introduction to integration

Many schools still treat digital transformation as a project: introduce tools, train colleagues, and hope for acceptance. Often, an analog process is simply transferred into digital form. A worksheet is the clearest example—the underlying idea and process remain the same whether it is printed on paper or shared as a PDF. AI changes this dynamic because established processes cannot simply be carried over. Where digitization often focuses on infrastructure and moving analog processes into digital formats, the change created by AI reaches into school culture.

One example from my daily work illustrates the point. We used to discuss the most efficient way to share files in team meetings. Today, we discuss the quality of AI-generated materials, data protection, copyright, and educational responsibility. These conversations are more demanding, but also more valuable because they take place at the level of values, judgment, and mindset.

AI leadership therefore means shifting the conversation from tools to culture. It is no longer about whether AI is used, but how we integrate it into a shared understanding of learning, leadership, and school.

Cultural Change: Trust as Leadership Strategy

One of the greatest misconceptions is that change can be imposed. AI makes the opposite especially clear: change succeeds only when people develop trust—in themselves, in the technology, and in the shared direction.

At our school, we have followed the principle “Everyone can; no one has to” through major development steps for many years. It reduced pressure while increasing the willingness to experiment. Teachers could take their first steps with AI at their own pace, share experiences, and learn from one another. Leadership during this phase did not mean issuing directives; it meant opening spaces.

Small success stories emerged over time: colleagues used AI to revise their teaching materials, school leaders used text assistance to edit parent letters or school programs and model thoughtful AI use, and subject teams began implementing AI-assisted processes. These many small impulses achieved more than any top-down strategic agenda could have.

Leadership as a learning process

AI leadership means seeing yourself as a learner and accepting that a leader will not always have the answer, the best path, or the final word. Over the past year, I have learned a great deal and reconsidered even more—not only about technology, but about people, communication, and change.

AI forces us to rethink knowledge, trust, and responsibility. It asks school leaders not only to make decisions, but also to create learning spaces for staff, students, and themselves.

Good leadership recognizes that change does not succeed against people, but only with them. It accompanies, moderates, inspires, and tolerates the uncertainty that always comes with innovation.

Conclusion: Mindset before action

AI leadership in schools does not mean knowing the newest tools or having the perfect AI roadmap. It means developing a mindset for change—one that strengthens trust, shares responsibility, and treats learning as a collective process.

If we rethink leadership in this way, AI does not become a threat to educational values, but a mirror for them. It reminds us that the future is not simply made; it is shaped, step by step and decision by decision.