Practical perspective for leadership teams at mid-sized companies and associations: from the four AI Fluency competencies to current research on leadership and AI adoption.
AI agents with a master key, a gap in the foundation of the web: two incidents from this year show that the most dangerous gap rarely lies in the code, but in the question of who is responsible for what.
A family story from the Gaisberg hill-climb race near Salzburg shows why guardrails don't prevent speed — they're what make it possible in the first place. And what that means for AI governance.
More investment, more usage, barely more return: current studies independently point to the same finding — the bottleneck in AI projects isn't technology, it's leadership.
Delegation, Description, Discernment, Diligence: in the AI Fluency model by Feller and Dakan, four competencies decide whether AI becomes productive in your company — or fails.