Instead of focusing on short-lived prompt engineering skills, the article argues that AI literacy should prioritize teaching students to think critically about how AI systems actually function. This involves understanding data privacy and the business models behind "free" tools, as well as distinguishing between closed-source, open-weight, and true open-source models to better navigate transparency and security risks.