When people say "AI," what are they talking about?

The word does all of this work at once:

• Rule systems. A person wrote the logic. Inspectable, and older than the term by decades.
• Predictive models. Score or classify something that already exists: credit risk, fraud, demand, machine failure.
• Perception systems. Decide what an image, a recording, or a document is.
• Generative models. Produce new text, code, images, or audio from patterns learned in training.
• Agents. Act on a standing authorization, with nobody waiting on the other end.
• Assemblies of several of the above, which is what nearly every real product turns out to be.

Arguing about which one deserves the name gains nothing. What matters is that a requirement like "explainability" or "human oversight" means completely different work depending on which is in front of you. Most deployed systems are the sixth kind, so a rule usually lands on several at once.

Three distinctions do the sorting

• Rule-based or learned. Did a person write the rule, or did a machine find the pattern? This decides whether the logic can be audited at all.
• Predictive or generative. Is it scoring something that exists, or producing something new? The risk, cost, and infrastructure profiles are close to opposite.
• Advisory or agentic. Does it recommend to a person, or act on its own? This is where liability changes character.

They are independent. A system sits somewhere on each, and its position on one predicts nothing about the next.

Why one label fails

A credit model is learned, predictive, and advisory. A browser agent is learned, generative, and agentic. They have different failure modes, different infrastructure, and different bodies of existing law already covering them. A rule written for one reaches every system that shares an axis with it: write for the agent and you also reach the credit model, which has been regulated for decades; write for the credit model and the agent walks through the gap.

Inside an organization the same thing happens with AI policy. "Approved AI tools" lumps together a fraud model, a writing assistant, and an agent with access to the finance system. Sorting them on the three axes first tells you which rules each one actually needs.