Reflexive Feedback Loops Trend 2026

A reflexive feedback loop occurs when a system’s output continuously influences its own input, creating a self-reinforcing cycle. Used in machine learning, psychology, and organizational behavior, it amplifies behaviors or errors over time. Teams and AI developers benefit by identifying patterns early, improving decision-making, and preventing runaway effects that distort outcomes or performance.