Evolving

Last Update: 3/13/2026

Your role’s AI Resilience Score is

37.8%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium

What does this resilience result mean?

These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.

AI Resilience Report for

Mail Clerks and Mail Machine Operators, Except Postal Service

They sort and deliver mail within companies, operate machines to process it, and ensure everything is sent to the right place on time.

This role is evolving

This career is labeled as "Evolving" because while many routine tasks in mailrooms, like sorting and stamping, are increasingly automated, there are still important roles for humans. Workers need to adapt by learning to oversee and maintain these machines, solve unexpected problems, and handle tasks that require personal judgment and care, like dealing with damaged packages or unclear addresses.

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Learn more about how you can thrive in this position

View analysis
Chat with Coach
Latest news
More career info
Analysis
Chat
News
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This role is evolving

This career is labeled as "Evolving" because while many routine tasks in mailrooms, like sorting and stamping, are increasingly automated, there are still important roles for humans. Workers need to adapt by learning to oversee and maintain these machines, solve unexpected problems, and handle tasks that require personal judgment and care, like dealing with damaged packages or unclear addresses.

Read full analysis

Contributing Sources

We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.

AI Resilience

AI Resilience Model v1.0

AI Task Resilience

Learn about this score
Evolving iconEvolving

68.8%

68.8%

Microsoft's Working with AI

AI Applicability

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Stable iconStable

74.7%

74.7%

Will Robots Take My Job

Automation Resilience

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Changing fast iconChanging fast

2.8%

2.8%

Althoff & Reichardt

Economic Growth

Learn about this score
Changing fast iconChanging fast

8.6%

8.6%

Low Demand

Labor Market Outlook

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

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Growth Rate (2024-34):

-6.6%

Growth Percentile:

8.4%

Annual Openings:

6,900

Annual Openings Pct:

46.0%

Analysis of Current AI Resilience

Mail Clerks & Ops, except PS

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

What's changing and what's not

Many parts of a mailroom job are already done by machines. For example, modern postage meters and mail machines can weigh, stamp, seal, and sort envelopes without much hand work [1] [2]. Big postal centers use high-speed sorters and scanners – studies note that parcel sorting is mostly done by automated machinery, though humans still feed mail into the system [3] [4].

AI (like cameras and OCR software) helps too. It can read addresses and tracking numbers from labels automatically, cutting down manual data entry [2]. In fact, job experts rate mail clerks as already “highly automated” (about 30% automated) [5], reflecting all the machines in use.

That said, in many offices people still run the machines and handle odd jobs. Envelopes with unusual shapes or personal deliveries usually need a human touch. Overall, existing tech takes care of the routine (stamping, weighing, sorting), while workers focus on supervising and solving any exceptions.

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AI Adoption

AI in the real world

Whether AI tools spread through mailrooms depends on cost and need. Large companies and postal services have the volume to justify fancy automation – U.S. postal research shows robots can cut work hours by moving mail trays and handling heavy loads [4] [4]. But smaller offices often find manual equipment (scales, label printers) is “good enough” for their mail volume.

High-tech mail robots and AI scanners can be expensive, so if labor costs are low, businesses may switch slowly. Other factors matter too: today much communication is by email or apps, so there’s less paper mail overall. Privacy and security also play a role – companies must be careful when scanning personal mail.

In the long run, automation will change some tasks but not end all jobs. Humans bring judgement and care that machines lack. For example, a person notices if a package is damaged or reads an unclear note – skills a robot doesn’t have.

As AI handles more routine work, clerks can learn to run and maintain that tech. This way, workers stay valuable by solving problems, overseeing machines, and helping customers – things machines aren’t good at. In short, money and scale will influence how fast AI tools arrive, but even with more automation, human skills like problem-solving and team communication remain important.

Sources

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More Career Info

Career: Mail Clerks and Mail Machine Operators, Except Postal Service

Employment & Wage Data

Median Wage

$38,150

Jobs (2024)

67,400

Growth (2024-34)

-6.6%

Annual Openings

6,900

Education

High school diploma or equivalent

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

40% ResilienceSupplemental

Start machines that automatically feed plates, stencils, or tapes through mechanisms, and observe machine operations to detect any malfunctions.

2

39% ResilienceSupplemental

Operate embossing machines or typewriters to make corrections, additions, and changes to address plates.

3

38% ResilienceSupplemental

Answer inquiries regarding shipping or mailing policies.

4

37% ResilienceSupplemental

Use equipment such as forklifts and automated "trains" to move containers of mail.

5

36% ResilienceSupplemental

Accept and check containers of mail or parcels from large volume mailers, couriers, and contractors.

6

35% ResilienceCore Task

Clear jams in sortation equipment.

7

35% ResilienceSupplemental

Mail merchandise samples or promotional literature in response to requests.

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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