Classic interfaces are strong when processes are clear, inputs are structured and users need to reach their goal quickly. Especially for forms, configurations or familiar workflows, they are often more efficient because options are visible and require less cognitive effort than free text input. Nielsen Norman Group describes this as «recognition over recall», meaning show options instead of making users guess.

AI-based interfaces show their strength where users need orientation, where their intent is still unclear or where traditional navigation reaches its limits. They are particularly useful for open questions, guidance and entering complex processes. At the same time, research shows that purely conversational interfaces often create more mental load and become inefficient for structured tasks.

That is why the hybrid approach is usually the most effective. It combines conversation for understanding and entry with clear UI elements for selection, input and completion. This also reflects current service realities, as self service alone often does not fully solve user needs but requires better guidance, context and well-designed interaction models.