AI Automation Index

Will AI Replace Food and Tobacco Roasting, Baking, and Drying Machine Operators and Tenders?

Analyze the automation vulnerability, task-level AI risk, salary, and demand projection for Food and Tobacco Roasting, Baking, and Drying Machine Operators and Tenders. Run the upskilling simulator.

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

AI Vulnerability

53% risk score

Median Salary

$44,810 / year

Growth Demand

Low

Constituent Task Mix

We parsed O*NET's 19 constituent tasks for this occupation and classified them by AI threat risk.

High Automation Risk (Routine Tasks) 5%
Medium Automation Risk (Cognitive/Technical) 95%
Low Automation Risk (Strategy/Leadership) 0%

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constituent Tasks

Observe, feel, taste, or otherwise examine products during and after processing to ensure conformance to standards.

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

Set temperature and time controls, light ovens, burners, driers, or roasters, and start equipment, such as conveyors, cylinders, blowers, driers, or pumps.

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

Observe temperature, humidity, pressure gauges, and product samples and adjust controls, such as thermostats and valves, to maintain prescribed operating conditions for specific stages.

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

Observe flow of materials and listen for machine malfunctions, such as jamming or spillage, and notify supervisors if corrective actions fail.

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

Record production data, such as weight and amount of product processed, type of product, and time and temperature of processing.

Routine cognitive or manual task with high vulnerability to automation.

Weigh or measure products, using scale hoppers or scale conveyors.

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

Operate or tend equipment that roasts, bakes, dries, or cures food items such as cocoa and coffee beans, grains, nuts, and bakery products.

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

Signal coworkers to synchronize flow of materials.

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

Read work orders to determine quantities and types of products to be baked, dried, or roasted.

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

Fill or remove product from trays, carts, hoppers, or equipment, using scoops, peels, or shovels, or by hand.

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

Take product samples during or after processing for laboratory analyses.

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

Test products for moisture content, using moisture meters.

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

Clear or dislodge blockages in bins, screens, or other equipment, using poles, brushes, or mallets.

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

Start conveyors to move roasted grain to cooling pans and agitate grain with rakes as blowers force air through perforated bottoms of pans.

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

Open valves, gates, or chutes or use shovels to load or remove products from ovens or other equipment.

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

Clean equipment with steam, hot water, and hoses.

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

Smooth out products in bins, pans, trays, or conveyors, using rakes or shovels.

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

Install equipment, such as spray units, cutting blades, or screens, using hand tools.

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

Push racks or carts to transfer products to storage, cooling stations, or the next stage of processing.

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

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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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