As generative AI (GenAI) becomes increasingly accessible and integrated into software development and education, there is a growing tendency to apply AI-based solutions—even when traditional, deterministic algorithms would be more appropriate. This paper discusses the critical differences between AI-based heuristic methods and deterministic algorithmic approaches, and argues for responsible, context-aware deployment of AI in problem-solving. Misusing GenAI in domains that demand precision, efficiency, or guaranteed optimality can lead to inefficient or even incorrect solutions, undermining both technical integrity and academic rigor.