What Is AI Literacy?
AI literacy is not about coding or understanding neural networks. It's about having enough understanding to use AI tools effectively, evaluate their outputs critically, and make informed decisions about when and how to use them.
Why it matters now
AI tools are moving from optional extras to core workplace expectations across most industries. The people who thrive will be the ones who can ask good questions, interpret AI outputs intelligently, spot errors, and direct AI tools toward meaningful outcomes.
Key concepts worth knowing
Large language models generate text by predicting what comes next — they don't retrieve facts from a database. Hallucination is the term for when AI confidently states something untrue. Prompting — writing good instructions to AI — is the most practically useful skill in the short term.
A practical action plan
Week 1: Pick one free AI tool and use it for a task you do regularly. Week 2: Learn to give AI better context. Week 3: Practice verification — check three AI-generated facts against primary sources. Ongoing: Read one piece of AI content per week to stay current.
Related: How to Use AI Well • Build Your AI Stack