Quantitative modeling assesses AI infrastructure risks through several methods. A Monte Carlo simulation of 100,000 trajectories over 24 months, using expansion and disillusionment drifts of 15% and −25%, volatilities of 20% and 45%, a monthly jump probability of 3%, and normally distributed jumps with mean −35% and standard deviation 10%, yields cumulative losses at the…
