I’m in L&D at a mid-sized enterprise, and leadership has made “building AI fluency across the workforce” a top priority for 2026. Great in theory. But when I ask what fluency looks like in practice, what behaviors we’re trying to build, what outcomes we expect, I get vague answers. “People should be comfortable with AI.” “They should know how to use it.” I need to design something measurable, not just a checkbox training session. But I’m struggling to define fluency in a way that’s both practical and something we can actually assess. Is fluency just knowing how to prompt? Is it understanding how models work? Is it being able to choose the right tool for the right job? For anyone who’s built or implemented an AI fluency program: how did you define the target state? What dimensions of fluency actually mattered for your organization? submitted by /u/im04p
Originally posted by u/im04p on r/ArtificialInteligence