AI Automation Index

Will AI Replace Excavating and Loading Machine and Dragline Operators, Surface Mining?

Analyze the automation vulnerability, task-level AI risk, salary, and demand projection for Excavating and Loading Machine and Dragline Operators, Surface Mining. Run the upskilling simulator.

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• Developed & audited by Gini Loh

AI Vulnerability

31% risk score

Median Salary

$57,430 / year

Growth Demand

Medium

Constituent Task Mix

We parsed O*NET's 16 constituent tasks for this occupation and classified them by AI threat risk.

High Automation Risk (Routine Tasks) 0%
Medium Automation Risk (Cognitive/Technical) 63%
Low Automation Risk (Strategy/Leadership) 37%

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

Move levers, depress foot pedals, and turn dials to operate power machinery, such as power shovels, stripping shovels, scraper loaders, or backhoes.

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

Set up or inspect equipment prior to operation.

Semi-structured cognitive task involving analysis, inspection, or monitoring.

Become familiar with digging plans, machine capabilities and limitations, and efficient and safe digging procedures in a given application.

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

Observe hand signals, grade stakes, or other markings when operating machines so that work can be performed to specifications.

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

Operate machinery to perform activities such as backfilling excavations, vibrating or breaking rock or concrete, or making winter roads.

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

Receive written or oral instructions regarding material movement or excavation.

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

Move materials over short distances, such as around a construction site, factory, or warehouse.

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

Create or maintain inclines or ramps.

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

Lubricate, adjust, or repair machinery and replace parts, such as gears, bearings, or bucket teeth.

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

Handle slides, mud, or pit cleanings or maintenance.

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

Direct workers engaged in placing blocks or outriggers to prevent capsizing of machines when lifting heavy loads.

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

Measure and verify levels of rock or gravel, bases, or other excavated material.

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

Direct ground workers engaged in activities such as moving stakes or markers, or changing positions of towers.

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

Adjust dig face angles for varying overburden depths and set lengths.

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

Drive machines to work sites.

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

Perform manual labor to prepare or finish sites, such as shoveling materials by hand.

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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