Leaders are being asked to adopt AI at the same pace that teams once adopted cloud tools, project software, and analytics dashboards. Licenses are purchased, access is granted, a short training is offered, and success is measured by usage.

Many organizations then discover a confusing reality: Some teams avoid AI entirely, others use it constantly, and the quality of outcomes varies widely.

AI changes work in a different way. It functions as a new language within the organization, enabling drafts, summaries, analyses, and recommendations to be produced in seconds. Like any language, results depend on shared fluency. Uneven literacy results in uneven organizational performance. Click here to read the full text article