57
/100

SOC 53-7051

Industrial Truck and Tractor Operators

ElevatedFrey/Osborne: 93.0%

Risk Score

โš ๏ธ

57/100

Elevated

US Employment

๐Ÿ‘ฅ

805,770

Total workers

Median Wage

๐Ÿ’ฐ

$46K

$37K โ€“ $62K

Projected Growth

๐Ÿ“ˆ

+1.1%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

31/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Industrial Truck and Tractor Operators face a risk score of 57/100 โ€” 13 points above the national average of 44. With only 31/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $46K ($80 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 57/100, Industrial Truck and Tractor Operators faces moderate automation pressure. While tasks like predictive maintenance reducing manual inspection needs are increasingly handled by AI, the role retains significant human elements. The 805,770 workers in this occupation should focus on strengthening skills in navigating unpredictable road and weather conditions and manual loading of irregular and fragile cargo to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Industrial Truck and Tractor Operators?

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

โš ๏ธ Top Risk Factors

1

Predictive maintenance reducing manual inspection needs

2

AI traffic management and fleet coordination

3

Autonomous vehicle and self-driving truck technology

4

AI route optimization reducing dispatcher roles

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Navigating unpredictable road and weather conditions

โœ“

Manual loading of irregular and fragile cargo

โœ“

Emergency situation response and quick decision-making

โœ“

Customer interaction and conflict resolution during delivery

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

Move levers or controls that operate lifting devices, such as forklifts, lift beams with swivel-hooks, hoists, or elevating platforms, to load, unload, transport, or stack material.

โ€ข

Move controls to drive gasoline- or electric-powered trucks, cars, or tractors and transport materials between loading, processing, and storage areas.

โ€ข

Manually or mechanically load or unload materials from pallets, skids, platforms, cars, lifting devices, or other transport vehicles.

โ€ข

Position lifting devices under, over, or around loaded pallets, skids, or boxes and secure material or products for transport to designated areas.

โ€ข

Inspect product load for accuracy and safely move it around the warehouse or facility to ensure timely and complete delivery.

๐Ÿ’ป Technology Skills

โ€ข

Inventory management software

โ€ข

Computer aided design CAD software

โ€ข

Spreadsheet software

โ€ข

Office suite software

โ€ข

Electronic mail software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mathematics

โ€ข

English Language

โ€ข

Production and Processing

โ€ข

Transportation

โ€ข

Customer and Personal Service

๐Ÿ“Š vs National Average

Median Wage$46K
+$80

National avg: $46K

Risk Score57/100
+13

National avg: 44/100

GenAI Exposure31/100
-7

National avg: 38/100

Projected Growth1.1%
-2.6%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K79%
Aircraft Cargo Handling Supervisors29$64K71%
Air Transportation Workers31$107K82%