Transportation & Logistics occupation
Will AI replace Truck Driver?
See how this occupation’s day-to-day work compares with other jobs in exposure to AI and automation, why it received this result, and where human skills remain essential.
Truck Driver
Heavy and Tractor-Trailer Truck Drivers · Transportation & Logistics
Higher AI & automation exposure than 24% of jobs we compare.
Exposure index: 24 / 100
This compares the type of work in this job with the work in hundreds of other jobs.
This is a comparison between jobs — not a 24% chance of job loss.
Why did this job get this result?
- Digital dispatch systems, fleet management tools, and GPS navigation units monitor routes, vehicle status, and delivery schedules.
- Pre-trip inspections, hours-of-service compliance, and cargo documentation follow structured, regulated checklists.
- Operating heavy commercial tractor-trailers on public roadways requires direct physical control across diverse weather, terrain, and traffic conditions.
- Drivers must evaluate road conditions, manage equipment malfunctions, and make instant defensive-driving decisions.
- Coordinating with warehouse receiving staff, dispatchers, and law enforcement requires clear professional communication.
How technology may change this work
Technology and human strengths
What AI & automation may affect
- GPS navigation software and route-optimization platforms can dynamically suggest adjustments for traffic, weather, and road closures.
- Electronic logging tools and digital dispatch applications streamline hours-of-service tracking and routine delivery check-ins.
- Driver-assistance technologies can assist with lane keeping, following distance monitoring, and emergency braking warnings.
Human strengths in this job
- Maintaining continuous situational awareness and defensive driving across unpredictable road, traffic, and weather conditions
- Inspecting coupling mechanisms, air brake systems, and tires to verify vehicle roadworthiness before highway travel
- Securing cargo loads and verifying proper weight distribution to prevent shifting during transit
- Maneuvering heavy combination vehicles into tight urban loading docks, construction sites, and restricted distribution centers
Separate from the score
Other technology changing this job
Automated drivingAutomated-driving technology could change parts of professional driving. Real-world adoption depends on technology, safety, regulation and where vehicles operate.
Data source: U.S. Department of Transportation, Driving Automation Systems in Long-Haul Trucking and Bus Transit.
We show this separately. It does not change the number above.
How this result breaks down
These are model components, not percentages of the job or of how necessary people are.
How much the job involves information, data, writing, analysis or other digital work that AI and software may help with.
How much of the work follows regular, predictable or repeated steps.
How much of the physical work may be suitable for machines or robotics.
How much the job depends on judgment, creativity, communication and adapting to real situations.
How is the index calculated?
The Exposure Index is a percentile comparing this job's digital, routine, and physical tasks against all 897 occupations in the Model 2.1 dataset. A score of 24 means higher modeled exposure than approximately 24% of comparable jobs.
Your work may differ
How does your work compare?
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What people in this job commonly do
- Check all load-related documentation for completeness and accuracy.
- Inspect loads to ensure that cargo is secure.
- Check vehicles to ensure that mechanical, safety, and emergency equipment is in good working order.
- Crank trailer landing gear up or down to safely secure vehicles.
- Obtain receipts or signatures for delivered goods and collect payment for services when required.
- Maintain logs of working hours or of vehicle service or repair status, following applicable state and federal regulations.
How we compare jobs
We look at what people do in hundreds of occupations — including digital work, repeatable activities, physical automation and human skills — then compare the job with other occupations.
What this tool cannot predict
It cannot predict individual job loss, exact technology adoption timing or decisions by an individual employer.
Occupation and data details
O*NET-SOC: 53-3032.00
Career category: Transportation & Logistics
Typical education: High school diploma or equivalent
Data source: O*NET, U.S. Department of Labor.
This product includes information from the O*NET 31.0 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. Toolsyte has modified and scored some information; USDOL/ETA has not approved, endorsed, or tested these modifications. O*NET® is a trademark of USDOL/ETA.