•    The Divergence Dilemma: How AI-accelerated digital twins can rapidly drift from physical reality when subtle equipment degradation and operational variations aren't properly captured, potentially creating dangerously misleading decision support tools
•    Data Quality Cascades: Understanding how incomplete sensor coverage and imperfect measurement systems create compounding inaccuracies when AI algorithms extrapolate beyond directly observed parameters
•    Expertise Erosion Risk: Addressing the potential for over-reliance on AI-enhanced virtual models to diminish operators' hands-on understanding of physical systems, creating vulnerability during system failures when digital guidance becomes unavailable