Heavy and Tractor-Trailer Truck Drivers
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Drive a tractor-trailer combination or a truck with a capacity of at least 26,001 pounds Gross Vehicle Weight (GVW). May be required to unload truck. Requires commercial drivers' license. Includes tow truck drivers.
The occupation "Heavy and Tractor-Trailer Truck Drivers" has an estimated automation risk of 46.1%, which is slightly below the base risk of 46.6% for similar roles. This figure suggests a moderate likelihood that many aspects of the job can be automated, largely due to advancements in vehicle automation, sensors, and digital logistics systems. Technology is rapidly transforming the transportation sector, particularly in long-haul and predictable route driving, by enabling self-driving capabilities and digital monitoring of vehicle and cargo conditions. Among the most automatable tasks for truck drivers are "checking all load-related documentation for completeness and accuracy," "inspecting loads to ensure that cargo is secure," and "checking vehicles to ensure that mechanical, safety, and emergency equipment is in good working order." These activities are highly repetitious and can be streamlined through existing digital tools such as electronic document management systems, sensor-equipped cargo bays, and automated vehicle diagnostics. Such tasks do not require significant human judgment or adaptability and are, therefore, prime candidates for automation as sensor and AI technologies advance. Conversely, certain tasks remain resistant to automation due to their reliance on nuanced physical manipulation, decision-making, or real-time collaboration. These include "giving directions to laborers who are packing goods and moving them onto trailers," "operating idle reduction systems or auxiliary power systems," and "wrapping and securing goods using pads, packing paper, containers, or straps." The bottleneck skills tied to these resistant tasks are originality, with scores of 1.9% and 1.8%, respectively, highlighting the importance of creative problem-solving and on-the-fly decision-making. Such skills are difficult for current AI systems to replicate, thereby safeguarding certain aspects of the heavy and tractor-trailer truck driving occupation from full automation in the near future.