What actually separates the two kinds of AI — in plain language.
It sorts, predicts, and decides from patterns in data — spam filters, recommendations, fraud alerts.
It produces new text, images, or audio based on what it learned — chatbots, image generators, voice tools.
Both learn from data. Traditional AI answers "what is this?"; generative AI answers "make something like this."
Classic models train on labeled examples; generative models learn patterns from huge collections of examples.
Predictions and automation favor traditional AI. Drafting, brainstorming, and mockups favor generative AI.
Many apps pair both — a recommender picks the product, a generator writes its description.
Not every "AI" feature is generative. Autocomplete in search is classic prediction, not creation.
Traditional AI = analysis. Generative AI = creation. Most real products use a bit of both.
Full step-by-step guide at the link below.