The programming paradigm often used in artificial intelligence solutions is machine learning, which allows systems to learn from data and improve over time without explicitly programmed instructions. This paradigm uses algorithms that analyze large datasets, identify patterns, and make predictions based on new data inputs. Common techniques include supervised learning, where models are trained using labeled datasets, and unsupervised learning, where patterns are identified in unlabeled data. This approach enables the development of applications ranging from natural language processing to computer vision, driving advancements across various AI fields.