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4+3 Rooms of Change

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  1. 1. Unaware(extended model)

    Exists before the four classic rooms. Represents people who haven't yet heard about AI developments or don't grasp their significance. Studies show up to 60% of people in Germany are in this room.

  2. 2. Shock

    First contact with breakthrough AI technology can be overwhelming. Many had their personal "iPhone moment" the first time they saw what ChatGPT could do. This room is marked by disbelief and the feeling that something fundamental has changed.

  3. 3. Denial

    A phase of rejection follows the initial shock. Thoughts like "This will pass" or "It'll be regulated in Europe anyway" are typical — an attempt to minimize the significance of the change.

  4. 4. Confusion

    With the flood of new AI tools and constantly shifting possibilities, many feel disoriented. The question "Where are the tangible business models?" characterizes this state of uncertainty.

  5. 5. Acceptance

    Eventually the realization sets in that AI is here to stay and will change our lives and our customers' lives. Engaging with it is recognized as necessary.

  6. 6. Integration(extended model)

    Beyond mere acceptance, this is about actively embedding AI into daily workflows and thinking. It's a process of understanding and adapting to fully capture AI's benefits.

  7. 7. Transformation(extended model)

    At this advanced stage, AI is used to drive positive change for oneself and others — growing with AI and deploying it for the benefit of humanity.

Fluidity

A key aspect of this extended model is its fluidity: people and organizations don't move through these rooms linearly. They can jump back and forth, especially given how fast AI keeps developing. A vivid example: OpenAI's "GPT Mentions" feature (connecting different custom GPTs) threw many users who had just mastered custom GPTs back into the room of unawareness.

Strategies for navigating the model

  • Focus on foundational technologies: rather than getting lost in specific tools, understand the underlying principles and mechanisms of AI.
  • Continuous learning: the AI landscape keeps changing constantly. Regularly updating your own knowledge is essential.
  • Critical thinking: instead of blindly copying prompts or approaches, develop your own solutions grounded in solid understanding.
  • Ethical use: AI is a powerful tool that can be used constructively or destructively. Ethical, common-good-oriented use is essential.
  • Agility: the ability to move quickly between rooms and integrate new developments becomes the key to success in the AI age.