58
/100

SOC 53-3032

Heavy and Tractor-Trailer Truck Drivers

ElevatedFrey/Osborne: 79.0%

Risk Score

โš ๏ธ

58/100

Elevated

US Employment

๐Ÿ‘ฅ

2,070,480

Total workers

Median Wage

๐Ÿ’ฐ

$57K

$39K โ€“ $79K

Projected Growth

๐Ÿ“ˆ

+4%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

48/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Heavy and Tractor-Trailer Truck Drivers face a risk score of 58/100 โ€” 14 points above the national average of 44. With only 48/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $57K ($11K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 58/100, Heavy and Tractor-Trailer Truck Drivers faces moderate automation pressure. While tasks like autonomous vehicle and self-driving truck technology are increasingly handled by AI, the role retains significant human elements. The 2,070,480 workers in this occupation should focus on strengthening skills in customer interaction and conflict resolution during delivery and emergency situation response and quick decision-making to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Heavy and Tractor-Trailer Truck Drivers?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Autonomous vehicle and self-driving truck technology

2

AI traffic management and fleet coordination

3

AI route optimization reducing dispatcher roles

4

Predictive maintenance reducing manual inspection needs

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Customer interaction and conflict resolution during delivery

โœ“

Emergency situation response and quick decision-making

โœ“

Navigating complex urban environments with obstacles

โœ“

Navigating unpredictable road and weather conditions

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Check all load-related documentation for completeness and accuracy.

โ€ข

Inspect loads to ensure that cargo is secure.

โ€ข

Check vehicles to ensure that mechanical, safety, and emergency equipment is in good working order.

โ€ข

Crank trailer landing gear up or down to safely secure vehicles.

โ€ข

Obtain receipts or signatures for delivered goods and collect payment for services when required.

๐Ÿ’ป Technology Skills

โ€ข

Word processing software

โ€ข

Time accounting software

โ€ข

Route navigation software

โ€ข

Inventory management software

โ€ข

Data base user interface and query software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Transportation

โ€ข

Public Safety and Security

โ€ข

Customer and Personal Service

โ€ข

English Language

โ€ข

Law and Government

๐Ÿ“Š vs National Average

Median Wage$57K
+$11K

National avg: $46K

Risk Score58/100
+14

National avg: 44/100

GenAI Exposure48/100
+10

National avg: 38/100

Projected Growth4.0%
+0.3%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K81%
Aircraft Cargo Handling Supervisors29$64K73%
Air Transportation Workers31$107K84%