Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
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
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.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
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 analysisContributing 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
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
Low Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Mail Clerks & Ops, except PS
Updated Quarterly • Last Update: 2/17/2026

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.

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.

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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
AI-generated estimates of task resilience over the next 3 years
Start machines that automatically feed plates, stencils, or tapes through mechanisms, and observe machine operations to detect any malfunctions.
Operate embossing machines or typewriters to make corrections, additions, and changes to address plates.
Answer inquiries regarding shipping or mailing policies.
Use equipment such as forklifts and automated "trains" to move containers of mail.
Accept and check containers of mail or parcels from large volume mailers, couriers, and contractors.
Clear jams in sortation equipment.
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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