AI Automation Index

Will AI Replace Cutting and Slicing Machine Setters, Operators, and Tenders?

Analyze the automation vulnerability, task-level AI risk, salary, and demand projection for Cutting and Slicing Machine Setters, Operators, and Tenders. Run the upskilling simulator.

E-E-A-T Verified
• Developed & audited by Gini Loh

AI Vulnerability

54% risk score

Median Salary

$46,570 / year

Growth Demand

Medium

Constituent Task Mix

We parsed O*NET's 25 constituent tasks for this occupation and classified them by AI threat risk.

High Automation Risk (Routine Tasks) 12%
Medium Automation Risk (Cognitive/Technical) 84%
Low Automation Risk (Strategy/Leadership) 4%

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constituent Tasks

Set up, operate, or tend machines that cut or slice materials, such as glass, stone, cork, rubber, tobacco, food, paper, or insulating material.

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

Review work orders, blueprints, specifications, or job samples to determine components, settings, and adjustments for cutting and slicing machines.

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

Examine, measure, and weigh materials or products to verify conformance to specifications, using measuring devices, such as rulers, micrometers, or scales.

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

Press buttons, pull levers, or depress pedals to start and operate cutting and slicing machines.

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

Start machines to verify setups, and make any necessary adjustments.

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

Feed stock into cutting machines, onto conveyors, or under cutting blades, by threading, guiding, pushing, or turning handwheels.

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

Monitor operation of cutting or slicing machines to detect malfunctions or to determine whether supplies need replenishment.

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

Stack and sort cut material for packaging, further processing, or shipping, according to types and sizes of material.

Routine cognitive or manual task with high vulnerability to automation.

Adjust machine controls to alter position, alignment, speed, or pressure.

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

Remove completed materials or products from cutting or slicing machines, and stack or store them for additional processing.

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

Maintain production records, such as quantities, types, and dimensions of materials produced.

Routine cognitive or manual task with high vulnerability to automation.

Remove defective or substandard materials from machines, and readjust machine components so that products meet standards.

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

Position stock along cutting lines, or against stops on beds of scoring or cutting machines.

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

Move stock or scrap to and from machines manually, or by using carts, handtrucks, or lift trucks.

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

Select and install machine components, such as cutting blades, rollers, and templates, according to specifications, using hand tools.

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

Clean and lubricate cutting machines, conveyors, blades, saws, or knives, using steam hoses, scrapers, brushes, or oil cans.

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

Mark cutting lines or identifying information on stock, using marking pencils, rulers, or scribes.

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

Type instructions on computer keyboards, push buttons to activate computer programs, or manually set cutting guides, clamps, and knives.

Software coding, programming, or application development task highly susceptible to automated generation.

Change or replace saw blades, cables, cutter heads, and grinding wheels, using hand tools.

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

Position width gauge blocks between blades, and level blades and insert wedges into frames to secure blades to frames.

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

Direct workers on cutting teams.

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

Sharpen cutting blades, knives, or saws, using files, bench grinders, or honing stones.

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

Turn cranks or press buttons to activate winches that move cars under sawing cables or saw frames.

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

Tighten pulleys or add abrasives to maintain cutting speeds.

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

Cut stock manually to prepare for machine cutting, using tools such as knives, cleavers, handsaws, or hammers and chisels.

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

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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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