Change Management in the Age of AI training in FribourgLeading AI-Driven Change: Why Preparation Matters More Than Announcement
An AI-related transformation rarely fails because of the technology itself. Literature on organizational change identifies a more decisive factor: how teams are prepared.
The Role of Readiness
Achilles Armenakis and Stanley Harris (2002, Journal of Change Management) formalized the concept of "readiness": adoption of change depends on five perceived messages — its necessity, the organization's capacity to succeed, confidence in leaders, personal advantage, and the change's appropriateness. Armenakis & Harris, 2002
Two Logics of Change
Michael Beer and Nitin Nohria (2000, Harvard Business Review) distinguish two strategies: Theory E, oriented toward rapid economic results, and Theory O, oriented toward capacity development. Sustainable transformations combine both rather than choosing one.
What This Means for AI
This research does not address AI, but change in general. Its lessons apply directly: announcing a tool without addressing the question "what does this change for my work?" leaves room for the most unfavorable concerns. (our executive and employee training programmes)
The Limits of Grand Narratives
An inspiring leadership speech cannot replace concrete demonstration on daily tasks. Employees judge change by what it modifies in their week, not by what it promises in three years.
A Practical Implication, Verifiable in Geneva
In an organization spanning bilingual SMEs, agribusiness, and public services, launch the project with three workshops where teams themselves list tasks AI could handle and those they want to keep. This material, collected before any tool selection, feeds a credible and measurable pilot. An AI Training in Geneva can structure this preparation. To go further: explore the Change Management in the Age of AI training in Fribourg in the canton of Fribourg, or browse our executive and employee training programmes in Switzerland. AI training in the canton of Fribourg.
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