Environment acceleration variable in Byrum’s Law. Measures: competitive entry rate, technology change pace, AI model update frequency. High γ (rapid change) = faster entropy accumulation = higher maintenance requirement. Low γ (stable industry) = slower entropy = lower maintenance. Assess per industry quarterly. Use for: maintenance rate calibration, posture forecasting, cross-industry comparison. High-γ examples: AI tools, crypto, emerging tech. Low-γ examples: traditional manufacturing, stable services. Gamma explains maintenance variance across industries — same effort yields different outcomes based on environment dynamics.