Heavy and Tractor-Trailer Truck Drivers: daily tasks & AI impact
This page breaks Heavy and Tractor-Trailer Truck Drivers into the top 15 daily O*NET tasks and scores each for Generative AI automation probability. Those task scores roll up to an overall vulnerability index of 37/100 (Moderate automation risk). Struck-through rows are ≥80% automatable; highlighted safer rows are under 30% or primarily physical.
High-automation exposure
No task in this set currently exceeds the 80% threshold, so risk is spread across moderate probabilities rather than a few catastrophic duties.
Durable human work
This profile has little “safe” task mass under our thresholds. Workers should treat AI fluency as mandatory and actively map transferable skills into lower-risk roles.
Importance comes from O*NET incumbent ratings. Automation probability is model-generated for current Generative AI capability (not speculative AGI). Digital / physical / mixed labels describe the modality of the work, which strongly correlates with near-term automation potential.
| Task | Importance | AI probability | Nature |
|---|---|---|---|
| Check all load-related documentation for completeness and accuracy. Core | 4.63 | — | — |
| Inspect loads to ensure that cargo is secure. Core | 4.62 | — | — |
| Check vehicles to ensure that mechanical, safety, and emergency equipment is in good working order. Core | 4.61 | — | — |
| Crank trailer landing gear up or down to safely secure vehicles. Core | 4.6 | — | — |
| Obtain receipts or signatures for delivered goods and collect payment for services when required. Core | 4.6 | — | — |
| Maintain logs of working hours or of vehicle service or repair status, following applicable state and federal regulations. Core | 4.57 | — | — |
| Read bills of lading to determine assignment details. Core | 4.56 | — | — |
| Report vehicle defects, accidents, traffic violations, or damage to the vehicles. Core | 4.55 | — | — |
| Perform basic vehicle maintenance tasks, such as adding oil, fuel, or radiator fluid, performing minor repairs, or washing trucks. Core | 4.53 | — | — |
| Couple or uncouple trailers by changing trailer jack positions, connecting or disconnecting air or electrical lines, or manipulating fifth-wheel locks. Core | 4.52 | — | — |
| Maneuver trucks into loading or unloading positions, following signals from loading crew and checking that vehicle and loading equipment are properly positioned. Core | 4.5 | — | — |
| Collect delivery instructions from appropriate sources, verifying instructions and routes. Core | 4.48 | — | — |
| Drive trucks with capacities greater than 13 tons, including tractor-trailer combinations, to transport and deliver products, livestock, or other materials. Core | 4.46 | — | — |
| Read and interpret maps to determine vehicle routes. Core | 4.4 | — | — |
| Check conditions of trailers after contents have been unloaded to ensure that there has been no damage. Core | 4.37 | — | — |
What remains human
No tasks currently fall under the safe threshold for this occupation.
FAQ
Which Heavy and Tractor-Trailer Truck Drivers tasks are most exposed to AI?
No task in this set currently exceeds the 80% threshold, so risk is spread across moderate probabilities rather than a few catastrophic duties.
Which Heavy and Tractor-Trailer Truck Drivers tasks are safest from Generative AI?
This profile has little “safe” task mass under our thresholds. Workers should treat AI fluency as mandatory and actively map transferable skills into lower-risk roles.
How should I read the Heavy and Tractor-Trailer Truck Drivers task table?
Importance comes from O*NET incumbent ratings. Automation probability is model-generated for current Generative AI capability (not speculative AGI). Digital / physical / mixed labels describe the modality of the work, which strongly correlates with near-term automation potential.