Industry experts argue that core AI terms lack rigorous, standardized definitions. This linguistic drift creates friction between academic research and commercial marketing. Confusing stochastic parrots with sentient agents obscures technical reality. Practitioners must now navigate a fragmented vocabulary to ensure precise communication across machine learning frameworks and enterprise deployments.