Problem-solving skills serve as the primary defense against AI over-reliance. While LLMs handle basic calculations, human mathematical intuition ensures the accuracy of machine outputs. Educators must prioritize deep conceptual understanding over rote memorization. This shift prevents practitioners from blindly trusting flawed algorithmic results in technical environments.