Autonomous Trucks Face Critical Infrastructure Gaps Before Scale

The autonomous trucking industry is deploying vehicles commercially faster than supporting infrastructure can accommodate. S. corridors, but this deployment has exposed structural vulnerabilities that the industry has not adequately addressed: the loss of driver-based predictive maintenance (detecting failing tires, brakes, and electrical components before sensors register problems), the absence of specialized service hubs and certified technicians for autonomous vehicle systems, and critically, the lack of protocols for roadside emergencies when vehicles break down on dark highways with no human operator present.

The article raises a specific scenario that encapsulates the readiness problem: an autonomous truck with a blown tire, safely stopped on an interstate shoulder at 2 AM, with 80,000 pounds of cargo and no one in the cab to place safety triangles, manage hazard communication, or interact with first responders. Current regulations and infrastructure assume a driver is present. A December 2025 power outage in San Francisco that stranded 1,500 Waymo robotaxis for hours—forcing 911 dispatchers and fire departments to become default roadside assistance—demonstrates that even controlled urban environments struggle with scaled autonomous vehicle emergencies.

For supply chain professionals, this represents a critical risk vector: the operational readiness of autonomous trucking networks depends not on the vehicles' ability to navigate, but on industry-wide infrastructure investments in maintenance facilities, technician training pipelines, and emergency response protocols that are years behind deployment timelines. Carriers and logistics planners should expect that autonomous truck scaling will be constrained by these bottlenecks, not by technology maturity.