Overusing foundation models for tasks solvable by traditional software remains a primary failure point. Chip Huyen highlights how teams often apply generative AI to optimization problems, such as energy consumption, where it is unnecessary. This tendency leads to inefficient architectures. Practitioners must prioritize deterministic logic over probabilistic models when precision and reliability are required.