A systematic study examines the phenomenon of AI benchmark saturation, where performance gains on established evaluation metrics begin to plateau. The research investigates patterns and implications of this trend across multiple domains and model architectures. The paper is available on arXiv at https://arxiv.org/abs/2602.16763.