Scales provide a nuanced and holistic picture of an individual's or organization's journey in AI adoption. Unlike a single score, which offers a simplified overall measure, scales capture multiple dimensions of AI usage and attitudes. These dimensions include factors such as skill level, collaboration practices, creativity in AI application, ethical considerations, customization of AI tools, and trust in AI outputs.
By assessing these various aspects separately, scales allow for a more comprehensive understanding of strengths and areas for improvement in AI adoption. They recognize that adoption is not a linear process but a multifaceted journey where one might excel in certain areas while still developing in others. This granular approach helps identify specific areas of focus for further development and provides a more accurate representation of an entity's AI maturity across different domains.
While a score might tell you how far along the path of AI adoption someone is, scales reveal the shape and character of that journey, offering insights into the unique way each individual or organization approaches and integrates AI into their work and processes.
You are comfortable with several AI applications, particularly in non-core areas of your business, like Grok for spreadsheet assistance.
These users are comfortable with several AI applications and have a good understanding of AI concepts. They can effectively use AI for various tasks but might not yet be experts in customization or advanced applications. This level represents solid progress in AI adoption and provides a strong foundation for further skill development. Compared to novice users, these individuals can handle a wider range of AI tools, but they haven't yet developed the deep expertise seen in high-skill users. This middle ground allows for effective AI use while leaving room for further skill advancement.