Traditional AI refers to earlier AI approaches that often rely on explicit rules, symbolic reasoning, search, planning, or expert knowledge rather than large-scale data-driven learning.
The term is useful for distinguishing rule-based or symbolic systems from modern machine learning and generative AI systems.