AI infrastructure investment decisions often begin with familiar questions about electricity prices, available land, connectivity, taxation and computing hardware. These factors help investors identify attractive locations, but they cannot establish whether facilities will maintain reliable operations after deployment. A data center may have sufficient electrical capacity, modern cooling equipment and international connectivity. However, it may still depend on overseas engineers for specialist repairs and imported components for routine maintenance. Such dependencies create operational risks that conventional infrastructure assessments may overlook. For businesses purchasing AI computing capacity, delayed repairs can interrupt training workloads, affect customer applications and undermine service commitments.