67
/100

SOC 53-7011

Conveyor Operators and Tenders

High RiskFrey/Osborne: 93.0%

Risk Score

โš ๏ธ

67/100

High Risk

US Employment

๐Ÿ‘ฅ

26,060

Total workers

Median Wage

๐Ÿ’ฐ

$41K

$35K โ€“ $60K

Projected Growth

๐Ÿ“ˆ

-3.4%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

48/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Conveyor Operators and Tenders face a risk score of 67/100 โ€” 23 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 $41K. 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 67/100, Conveyor Operators and Tenders 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 26,060 workers in this occupation should focus on strengthening skills in navigating complex urban environments with obstacles and emergency situation response and quick decision-making to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Conveyor Operators and Tenders?

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

Automated warehouse sorting and loading systems

3

AI route optimization reducing dispatcher roles

4

Drone delivery displacing last-mile logistics workers

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Navigating complex urban environments with obstacles

โœ“

Emergency situation response and quick decision-making

โœ“

Manual loading of irregular and fragile cargo

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

Inform supervisors of equipment malfunctions that need to be addressed.

โ€ข

Observe conveyor operations and monitor lights, dials, and gauges to maintain specified operating levels and to detect equipment malfunctions.

โ€ข

Record production data such as weights, types, quantities, and storage locations of materials, as well as equipment performance problems and downtime.

โ€ข

Load, unload, or adjust materials or products on conveyors by hand, by using lifts, hoists, and scoops, or by opening gates, chutes, or hoppers.

โ€ข

Stop equipment or machinery and clear jams, using poles, bars, and hand tools, or remove damaged materials from conveyors.

๐Ÿ’ป Technology Skills

โ€ข

Industrial control software

โ€ข

Materials requirements planning logistics and supply chain software

โ€ข

Spreadsheet software

โ€ข

Operating system software

โ€ข

Enterprise resource planning ERP software

๐ŸŽ“ Key Knowledge Areas

โ€ข

English Language

โ€ข

Mechanical

โ€ข

Public Safety and Security

โ€ข

Production and Processing

โ€ข

Transportation

๐Ÿ“Š vs National Average

Median Wage$41K
$-5K

National avg: $46K

Risk Score67/100
+23

National avg: 44/100

GenAI Exposure48/100
+10

National avg: 38/100

Projected Growth-3.4%
-7.1%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K84%
Aircraft Cargo Handling Supervisors29$64K76%
Air Transportation Workers31$107K72%