Large language models often produce predictable, uninspired content because their training objective minimizes surprise, clashing with the human need for stories, jokes, and puzzles that are astonishing yet logical in hindsight. This article dissects the 'surprising but inevitable' paradox and its implications for AI's role in creative and analytical domains. Developers and AI practitioners must address this gap to build more engaging and trustworthy systems.