Change management is a failing multibillion-dollar industry, with a 70% project failure rate. The traditional model, which includes predictable phases and rational metrics, does not work in the face of rapid advancements in artificial intelligence. AI requires constant adaptation and personalized strategies, making conventional approaches obsolete. Change is unpredictable and cyclical, requiring a departure from traditional methods that prioritize rationality over inspiration. Companies must embrace a more dynamic approach to integrating AI tools and workflows in their operations.
Traditional change management relies on predictable models and rationality, focusing on metrics like adoption rates, but fails to inspire and adapt to rapid changes, especially with AI.
As artificial intelligence transforms industries, organizations face a need for constant adaptation to unpredictable change, rather than relying on outdated, rigid frameworks.
#change-management #ai-impact #organizational-transformation #business-strategy #consulting-failures
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