59
/100

SOC 53-3033

Light Truck Drivers

ElevatedFrey/Osborne: 69.0%

Risk Score

โš ๏ธ

59/100

Elevated

US Employment

๐Ÿ‘ฅ

994,410

Total workers

Median Wage

๐Ÿ’ฐ

$44K

$30K โ€“ $80K

Projected Growth

๐Ÿ“ˆ

+7.3%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

59/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Light Truck Drivers face a risk score of 59/100 โ€” 15 points above the national average of 44. With 59/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $44K. 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 59/100, Light Truck Drivers faces moderate automation pressure. While tasks like automated warehouse sorting and loading systems are increasingly handled by AI, the role retains significant human elements. The 994,410 workers in this occupation should focus on strengthening skills in navigating unpredictable road and weather conditions and customer interaction and conflict resolution during delivery to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Light Truck Drivers?

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

โš ๏ธ Top Risk Factors

1

Automated warehouse sorting and loading systems

2

Autonomous vehicle and self-driving truck technology

3

Predictive maintenance reducing manual inspection needs

4

Drone delivery displacing last-mile logistics workers

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Navigating unpredictable road and weather conditions

โœ“

Customer interaction and conflict resolution during delivery

โœ“

Manual loading of irregular and fragile cargo

โœ“

Emergency situation response and quick decision-making

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

Obey traffic laws and follow established traffic and transportation procedures.

โ€ข

Report any mechanical problems encountered with vehicles.

โ€ข

Verify the contents of inventory loads against shipping papers.

โ€ข

Inspect and maintain vehicle supplies and equipment, such as gas, oil, water, tires, lights, or brakes, to ensure that vehicles are in proper working condition.

โ€ข

Read maps and follow written or verbal geographic directions.

๐Ÿ’ป Technology Skills

โ€ข

Route navigation software

โ€ข

Inventory management software

โ€ข

Desktop communications software

โ€ข

Industrial control software

โ€ข

Communications server software

๐ŸŽ“ Key Knowledge Areas

โ€ข

English Language

โ€ข

Transportation

โ€ข

Customer and Personal Service

โ€ข

Public Safety and Security

โ€ข

Administrative

๐Ÿ“Š vs National Average

Median Wage$44K
$-2K

National avg: $46K

Risk Score59/100
+15

National avg: 44/100

GenAI Exposure59/100
+21

National avg: 38/100

Projected Growth7.3%
+3.6%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K83%
Aircraft Cargo Handling Supervisors29$64K75%
Air Transportation Workers31$107K71%