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Technical GlossaryAI Fundamentals

Narrow AI

An AI system that performs very well on a specific task but cannot generalize that capability across broad contexts.

Narrow AI is the category that describes the vast majority of AI systems in use today. These systems are highly effective at specific tasks such as facial recognition, text classification, credit risk prediction, recommendation, or fraud detection. However, that success does not automatically make them “general intelligence.” Once pushed outside their domain of specialization, they usually do not display the same flexibility. This distinction matters because real-world AI success mostly comes from narrow but high-value systems. In enterprise transformation projects, the most practical and scalable solutions are usually forms of narrow AI.