Industry experts argue that core AI terms lack standardized definitions, leading to widespread misuse in technical documentation. This linguistic drift creates friction between researchers and developers. Misaligned vocabulary obscures actual model capabilities and complicates benchmarking. Practitioners must now verify specific technical definitions manually to avoid costly integration errors based on vague marketing labels.