What AI literacy actually means

TODO: placeholder article — replace with finished editorial copy before launch.

“AI literacy” is one of those phrases that sounds like it means something specific and turns out to mean almost anything. People use it for everything from “knows how to type a prompt into ChatGPT” to “can explain how a transformer works.” Both are real, but neither is what we usually mean.

A working definition

When we say AI literacy, we mean three things that work together:

1. Knowing what these tools are good at. Drafting, summarizing, translating, generating options to choose from, structured extraction. You don’t need to know how the math works — you need to know which tasks are a fit.
2. Knowing what they’re bad at. Counting, recent facts, anything that requires a guarantee, anything where being wrong is expensive. The tools are confident-sounding even when they’re wrong; recognizing that pattern is half the literacy.
3. Knowing how to verify. AI output is a draft. Literacy is the habit of treating it that way — checking the numbers, reading what was generated as a critic instead of a fan, asking “would I be embarrassed if a customer saw this without me touching it?”

Why the soft skills matter more than the syntax

You can teach the tool-specific stuff in an afternoon. The harder skill — and the one that actually changes someone’s job — is the judgment about when to use AI at all. That judgment doesn’t come from a tutorial. It comes from doing the work, getting an output that’s almost-but-not-quite right, and developing instincts about when “almost” is good enough and when it isn’t.

What this looks like in practice

For a paralegal: drafting a first pass of a case summary in 90 seconds, then spending the saved time reading the actual filings. For a small-business owner: getting three options for a marketing email instead of writing one from a blank page. For a customer-support agent: a rephrased, calmer version of a tense reply.

In each of those, the human is still the author. The tool is making the part that used to be hardest — getting started — easier.

What it doesn’t look like

It doesn’t look like the tool replacing the person. It also doesn’t look like the person ignoring the tool. It looks like a person who’s still in charge of the work, but whose work happens faster and starts at a higher floor.

That, to us, is what AI literacy is. Not a course. Not a certification. A working habit.