AI Automation Index

Will AI Replace Packaging and Filling Machine Operators and Tenders?

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

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

AI Vulnerability

58% risk score

Median Salary

$43,220 / year

Growth Demand

Very 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) 20%
Medium Automation Risk (Cognitive/Technical) 75%
Low Automation Risk (Strategy/Leadership) 5%

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constituent Tasks

Attach identification labels to finished packaged items, or cut stencils and stencil information on containers, such as lot numbers or shipping destinations.

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

Sort, grade, weigh, and inspect products, verifying and adjusting product weight or measurement to meet specifications.

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

Stop or reset machines when malfunctions occur, clear machine jams, and report malfunctions to a supervisor.

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

Observe machine operations to ensure quality and conformity of filled or packaged products to standards.

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

Remove finished packaged items from machine and separate rejected items.

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

Monitor the production line, watching for problems such as pile-ups, jams, or glue that isn't sticking properly.

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

Inspect and remove defective products and packaging material.

Routine cognitive or manual task with high vulnerability to automation.

Start machine by engaging controls.

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

Tend or operate machine that packages product.

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

Clean, oil, and make minor adjustments or repairs to machinery and equipment, such as opening valves or setting guides.

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

Regulate machine flow, speed, or temperature.

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

Adjust machine components and machine tension and pressure according to size or processing angle of product.

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

Supply materials to spindles, conveyors, hoppers, or other feeding devices and unload packaged product.

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

Stack finished packaged items, or wrap protective material around each item, and pack the items in cartons or containers.

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

Package the product in the form in which it will be sent out, for example, filling bags with flour from a chute or spout.

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

Stock and sort product for packaging or filling machine operation, and replenish packaging supplies, such as wrapping paper, plastic sheet, boxes, cartons, glue, ink, or labels.

Routine cognitive or manual task with high vulnerability to automation.

Count and record finished and rejected packaged items.

Routine cognitive or manual task with high vulnerability to automation.

Clean packaging containers, line and pad crates, or assemble cartons to prepare for product packing.

Routine cognitive or manual task with high vulnerability to automation.

Secure finished packaged items by hand tying, sewing, gluing, stapling, or attaching fastener.

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

Clean and remove damaged or otherwise inferior materials to prepare raw products for 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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