- Drafting text, images, audio, code, and synthetic records are generative tasks.
- Classification and forecasting are predictive tasks, even when AI performs them.
- Many useful systems combine generation with retrieval and deterministic rules.
01
The simplest test
Ask whether the system produces a new artifact. Writing a response, generating an image, composing code, or creating a summary are generative tasks. Assigning a label or estimating a number is usually predictive.
02
Common generative task examples
Examples include drafting customer replies, transforming notes into a report, creating product imagery, producing test data, translating content, and generating code from a specification.
03
Tasks that are often confused with generation
Search, anomaly detection, lead scoring, recommendation ranking, and demand forecasting do not inherently generate content. They may still be part of a broader generative AI workflow.
Common questions
Questions worth asking
Is summarization a generative AI task?
Yes. The model creates a new, shorter representation of source material, even though it is constrained by existing content.