AI Automation Index

Will AI Replace Mobile Heavy Equipment Mechanics, Except Engines?

Analyze the automation vulnerability, task-level AI risk, salary, and demand projection for Mobile Heavy Equipment Mechanics, Except Engines. Run the upskilling simulator.

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• Developed & audited by Gini Loh

AI Vulnerability

40% risk score

Median Salary

$65,510 / year

Growth Demand

High

Constituent Task Mix

We parsed O*NET's 20 constituent tasks for this occupation and classified them by AI threat risk.

High Automation Risk (Routine Tasks) 5%
Medium Automation Risk (Cognitive/Technical) 70%
Low Automation Risk (Strategy/Leadership) 25%

How would you survive?

Automate your routine tasks and design your day around strategic advisory to future-proof this score.

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constituent Tasks

Repair and replace damaged or worn parts.

Semi-structured task combining routine and non-routine responsibilities.

Test mechanical products and equipment after repair or assembly to ensure proper performance and compliance with manufacturers' specifications.

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

Operate and inspect machines or heavy equipment to diagnose defects.

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

Read and understand operating manuals, blueprints, and technical drawings.

Semi-structured task combining routine and non-routine responsibilities.

Dismantle and reassemble heavy equipment using hoists and hand tools.

Semi-structured task combining routine and non-routine responsibilities.

Overhaul and test machines or equipment to ensure operating efficiency.

Semi-structured task combining routine and non-routine responsibilities.

Adjust, maintain, and repair or replace subassemblies, such as transmissions and crawler heads, using hand tools, jacks, and cranes.

Semi-structured task combining routine and non-routine responsibilities.

Repair, rewire, and troubleshoot electrical systems.

Semi-structured task combining routine and non-routine responsibilities.

Diagnose faults or malfunctions to determine required repairs, using engine diagnostic equipment such as computerized test equipment and calibration devices.

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

Examine parts for damage or excessive wear, using micrometers and gauges.

Semi-structured task combining routine and non-routine responsibilities.

Weld or solder broken parts and structural members, using electric or gas welders and soldering tools.

Semi-structured task combining routine and non-routine responsibilities.

Research, order, and maintain parts inventory for services and repairs.

Semi-structured task combining routine and non-routine responsibilities.

Fit bearings to adjust, repair, or overhaul mobile mechanical, hydraulic, and pneumatic equipment.

Semi-structured task combining routine and non-routine responsibilities.

Schedule maintenance for industrial machines and equipment, and keep equipment service records.

Routine cognitive or manual task with high vulnerability to automation.

Clean, lubricate, and perform other routine maintenance work on equipment and vehicles.

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

Assemble gear systems, and align frames and gears.

Semi-structured task combining routine and non-routine responsibilities.

Clean parts by spraying them with grease solvent or immersing them in tanks of solvent.

Semi-structured task combining routine and non-routine responsibilities.

Adjust and maintain industrial machinery, using control and regulating devices.

Semi-structured task combining routine and non-routine responsibilities.

Fabricate needed parts or items from sheet metal.

Semi-structured task combining routine and non-routine responsibilities.

Direct workers who are assembling or disassembling equipment or cleaning parts.

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

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Community Sentiment

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O*NET Methodology

O*NET Data Source

This page dynamically extracts data structures sponsored by the U.S. Department of Labor. Our AI classification applies cognitive task automation risk models to individual tasks.

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