A new paper introduces the Artificial Age Score (AAS) to measure structural decay in AI systems over repeated operation cycles. The model uses a redundancy-aware logarithmic penalty to track component consistency. This theoretical framework helps researchers determine if a system can persist indefinitely without unbounded aging. It provides a metric for long-term system stability.