AI Automation Index

Will AI Replace Postal Service Mail Sorters, Processors, and Processing Machine Operators?

Analyze the automation vulnerability, task-level AI risk, salary, and demand projection for Postal Service Mail Sorters, Processors, and Processing Machine Operators. Run the upskilling simulator.

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• Developed & audited by Gini Loh

AI Vulnerability

46% risk score

Median Salary

$58,470 / year

Growth Demand

High

Constituent Task Mix

We parsed O*NET's 14 constituent tasks for this occupation and classified them by AI threat risk.

High Automation Risk (Routine Tasks) 14%
Medium Automation Risk (Cognitive/Technical) 64%
Low Automation Risk (Strategy/Leadership) 22%

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constituent Tasks

Clear jams in sorting equipment.

Routine cognitive or manual task with high vulnerability to automation.

Operate various types of equipment, such as computer scanning equipment, addressographs, mimeographs, optical character readers, and bar-code sorters.

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

Sort odd-sized mail by hand, sort mail that other workers have been unable to sort, and segregate items requiring special handling.

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

Direct items according to established routing schemes, using computer-controlled keyboards or voice-recognition equipment.

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

Check items to ensure that addresses are legible and correct, that sufficient postage has been paid or the appropriate documentation is attached, and that items are in a suitable condition for processing.

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

Bundle, label, and route sorted mail to designated areas, depending on destinations and according to established procedures and deadlines.

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

Move containers of mail, using equipment, such as forklifts and automated "trains".

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

Open and label mail containers.

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

Load and unload mail trucks, sometimes lifting containers of mail onto equipment that transports items to sorting stations.

Routine cognitive or manual task with high vulnerability to automation.

Distribute incoming mail into the correct boxes or pigeonholes.

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

Rewrap soiled or broken parcels.

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

Train new workers.

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

Search directories to find correct addresses for redirected mail.

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

Cancel letter or parcel post stamps by hand.

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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