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Changing fast

Last Update: 11/21/2025

Your role’s AI Resilience Score is

26.7%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Low-medium

What does this resilience result mean?

These roles are undergoing rapid transformation. Entry-level tasks may be automated, and career paths may look different in the near future.

AI Resilience Report for

Postal Service Mail Sorters, Processors, and Processing Machine Operators

They organize and sort mail, making sure letters and packages get to the right places quickly and efficiently.

Summary

This career is labeled as "Changing fast" because many of the tasks involved in sorting and processing mail are already being automated by machines and AI technologies. Machines can efficiently handle routine sorting and carrying, which reduces the need for human intervention in these areas.

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Learn more about how you can thrive in this position

View analysis
Chat with Coach
Latest news
More career info

Summary

This career is labeled as "Changing fast" because many of the tasks involved in sorting and processing mail are already being automated by machines and AI technologies. Machines can efficiently handle routine sorting and carrying, which reduces the need for human intervention in these areas.

Read full analysis

Contributing Sources

AI Resilience

All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.

CareerVillage.org's AI Resilience Analysis

AI Task Resilience

Learn about this score
Changing fast iconChanging fast

1.7%

1.7%

Microsoft's Working with AI

AI Applicability

Learn about this score
Stable iconStable

72.4%

72.4%

Will Robots Take My Job

Automation Resilience

Learn about this score
Changing fast iconChanging fast

5.0%

5.0%

Low Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

Learn about this score

Growth Rate (2024-34):

-8.4%

Growth Percentile:

6.4%

Annual Openings:

7.8

Annual Openings Pct:

48.0%

Analysis of Current AI Resilience

Mail Sorters & Processors

Updated Quarterly • Last Update: 11/22/2025

Analysis
Suggested Actions
State of Automation

State of Automation & Augmentation

Postal sorting is already a machine-driven task. Today, most letters pass through computers that scan and read addresses. For example, USPS machines automatically cancel stamps and use optical character recognition (OCR) to spray barcodes on mail and send it to the right bin [1] [2].

Only very unclear or damaged addresses need humans. In processing centers, workers often use scanners (not voice control) to direct mail. New robots now help in the plants.

Hundreds of “flex rover” carts and automated guided vehicles (AGVs) move mail and packages after a human scans them [2] [2]. One recent system in Kansas uses a robot arm and AMR carts: forklifts bring in pallets, the robot unloads and scans items, and robots sort packages into bins [2]. These systems handle many repetitive tasks – one can do 3,000–4,000 packages a day with almost no errors [2].

However, humans are still needed for heavy or odd jobs. Workers load/unload big mail containers, and forklifts still place the largest boxes onto trucks [2] [2]. In other words, machines take care of routine sorting and carrying, but people handle the heaviest lifting and fix any jams [2] [1].

Postal workers still check that very large parcels or fragile items get special handling. In short, much of the “direct items by routing” work is already done by OCR and automation [1] [2], and robots carry most mail inside plants [2] [2]. But loading or unloading trucks and irregular items often require human hands [2] [2].

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AI Adoption

AI Adoption

Adopting more AI in mail service has both pros and cons. On the plus side, the technology is available and can save money and time. For instance, USPS is testing 30 new “edge AI” tools (using local servers) to check postage, read damaged barcodes, and speed up sorting [3] [4].

The parcel industry is growing fast, so companies invest in robots: operators like DHL and PostNord use AI arms that sort thousands of packages quickly, which helps handle peaks and keeps jobs safer from strain [4] [4]. USPS itself has a 10-year modernization plan focused on robotics [2] [2] and is using AI models to analyze millions of mail images [3]. These gains mean humans can do more skilled tasks while machines do the heavy lifting.

On the other hand, cost and labor factors can slow adoption. USPS must meet strict return-on-investment rules – new equipment needs to prove it will save at least 20% in costs [5]. Robots and AI often require expensive setup, staff training, and plant changes [5] [2].

The Postal Service is a unionized public agency, so new technology is watched closely. Union groups note that past automation cut some jobs [6], so any change is debated. Many workers are older and used to existing methods, so change can be slow.

Still, experiments like edge AI and AMRs are moving forward [3] [2]. Socially and legally, there are few barriers to machines (it's safe and allowed), and many employees see robots as helpers, not threats [2] [2].

Overall, the trend is toward more automation of routine mail sorting (since it boosts efficiency [4] [3]) while leaving humans in roles that require judgement, oversight, and strength. In other words, AI can take over the repetitive work, and people bring the eyes, patience, and care that machines lack [2] [2].

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More Career Info

Career: Postal Service Mail Sorters, Processors, and Processing Machine Operators

Employment & Wage Data

Median Wage

$56,530

Jobs (2024)

106,400

Growth (2024-34)

-8.4%

Annual Openings

7,800

Education

No formal educational credential

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

65% ResilienceSupplemental

Supervise other mail sorters.

2

65% ResilienceSupplemental

Train new workers.

3

65% ResilienceSupplemental

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

4

65% ResilienceSupplemental

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

5

55% ResilienceSupplemental

Serve the public at counters or windows, such as by selling stamps and weighing parcels.

6

55% ResilienceSupplemental

Rewrap soiled or broken parcels.

7

35% ResilienceSupplemental

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

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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