AI Literacy
A baseline understanding of what AI can and cannot do — enough to use it effectively, evaluate its outputs critically, and make good decisions about where to apply it. AI literacy doesn't mean knowing how models are trained. It means knowing: when to trust Claude's answer versus verify it, how to prompt clearly, what kinds of tasks Claude is bad at, and when AI is actually the right tool for the job. The gap between AI literacy and actual deployment is where most enterprise AI value is lost.
In practice
A marketing manager who can write effective prompts, knows when Claude is likely to hallucinate, and can tell the difference between a good AI output and a confidently wrong one — has AI literacy. It's not about coding. It's about knowing enough to use the tool well and catch its mistakes.
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