55
/100

SOC 53-7121

Tank Car, Truck, and Ship Loaders

ElevatedFrey/Osborne: 72.0%

Risk Score

โš ๏ธ

55/100

Elevated

US Employment

๐Ÿ‘ฅ

10,920

Total workers

Median Wage

๐Ÿ’ฐ

$58K

$38K โ€“ $88K

Projected Growth

๐Ÿ“ˆ

+4.3%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

44/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Tank Car, Truck, and Ship Loaders face a risk score of 55/100 โ€” 11 points above the national average of 44. With only 44/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $58K ($12K 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 55/100, Tank Car, Truck, and Ship Loaders 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 10,920 workers in this occupation should focus on strengthening skills in manual loading of irregular and fragile cargo and navigating unpredictable road and weather conditions to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Tank Car, Truck, and Ship Loaders?

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 route optimization reducing dispatcher roles

3

AI traffic management and fleet coordination

4

Automated warehouse sorting and loading systems

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Manual loading of irregular and fragile cargo

โœ“

Navigating unpredictable road and weather conditions

โœ“

Customer interaction and conflict resolution during delivery

โœ“

Navigating complex urban environments with obstacles

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

Seal outlet valves on tank cars, barges, and trucks.

โ€ข

Verify tank car, barge, or truck load numbers to ensure car placement accuracy based on written or verbal instructions.

โ€ข

Start pumps and adjust valves or cables to regulate the flow of products to vessels, using knowledge of loading procedures.

โ€ข

Check conditions and weights of vessels to ensure cleanliness and compliance with loading procedures.

โ€ข

Observe positions of cars passing loading spouts, and swing spouts into the correct positions at the appropriate times.

๐Ÿ’ป Technology Skills

โ€ข

Data base user interface and query software

โ€ข

Materials requirements planning logistics and supply chain software

โ€ข

Operating system software

โ€ข

Spreadsheet software

โ€ข

Office suite software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Transportation

โ€ข

Production and Processing

โ€ข

English Language

โ€ข

Public Safety and Security

โ€ข

Mechanical

๐Ÿ“Š vs National Average

Median Wage$58K
+$12K

National avg: $46K

Risk Score55/100
+11

National avg: 44/100

GenAI Exposure44/100
+6

National avg: 38/100

Projected Growth4.3%
+0.6%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K75%
Aircraft Cargo Handling Supervisors29$64K82%
Air Transportation Workers31$107K78%