Context Drift Trend 2026

Context drift refers to the gradual shift in meaning or relevance of data, models, or conversations over time. It is used to monitor AI performance, detect outdated information, and maintain accuracy in dynamic environments. Businesses, data scientists, and customer support teams benefit by ensuring systems remain reliable, reducing errors, and improving decision-making as contexts evolve.