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 undergoing rapid transformation. Entry-level tasks may be automated, and career paths may look different in the near future.
AI Resilience Report for
They help people send and receive mail by sorting packages, selling stamps, and providing information about postal services.
This role is changing fast
The career of a Postal Service Clerk is labeled as "Changing fast" because many of their routine tasks, like sorting mail and selling stamps, are being automated by machines and self-service kiosks. The U.
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Learn more about how you can thrive in your career
This role is changing fast
The career of a Postal Service Clerk is labeled as "Changing fast" because many of their routine tasks, like sorting mail and selling stamps, are being automated by machines and self-service kiosks. The U.
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
Postal Service Clerks
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
Postal Service Clerks already see many routine tasks done by machines. In fact, the USPS operates thousands of automation devices – about 9,000 machines that sort and process nearly half of all the world's mail [1]. Large robotic gantries move hundreds of thousands of mail trays every day [1].
In local offices, self-service kiosks let customers buy stamps, weigh packages, print labels, and even schedule passport appointments without a clerk [2]. This means clerks spend less time on basic sorting, weighing, and postage – the machines handle that heavy lifting.
At the same time, tasks that need human judgment or explanation remain mostly manual. For example, investigating a missing or stolen letter or helping a customer understand postal rules usually requires a real person. The USPS is starting to add AI tools for customer questions – for instance, it plans to move its call centers to an AI-driven cloud system this year [3] – but those tools are mainly for common inquiries (like tracking a package) and are still rolling out.
In short, sorting, weighing, and selling stamps are largely automated by technology [1] [2], while the personal, problem-solving side of the job still relies on clerks’ skills.

AI in the real world
AI adoption in postal work is gradual. Many off-the-shelf AI technologies (like image recognition and chatbots) exist, but the U.S. Postal Service must balance cost, training, and rules. On one hand, automation can save money and time: new AI systems promise faster service (USPS leaders call it “the start of our AI journey” [3]) and will eventually handle routine calls and online queries.
On the other hand, USPS is a large government agency with budget limits and union agreements, so big changes take time. Complex tasks – for example, dealing with unusual delivery problems or explaining regulations – are hard to automate.
In practice, USPS already invested heavily in machines [1], so adding AI mostly means upgrading software and training staff. If AI can improve efficiency (as leaders hope) the Post Office will push it forward, but it will likely remain a mix of tech and human work. Young people learning postal work should remember: AI will take over repetitive tasks, but human skills like customer service, problem-solving, and understanding rules will keep being valuable.
In other words, machines help do the routine work, and people use their judgment for everything else.

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Median Wage
$61,630
Jobs (2024)
74,200
Growth (2024-34)
-3.5%
Annual Openings
6,100
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Post announcements or government information on public bulletin boards.
Provide assistance to the public in complying with federal regulations of Postal Service and other federal agencies.
Receive letters and parcels, and place mail into bags.
Obtain signatures from recipients of registered or special delivery mail.
Put undelivered parcels away, retrieve them when customers come to claim them, and complete any related documentation.
Respond to complaints regarding mail theft, delivery problems, and lost or damaged mail, filling out forms and making appropriate referrals for investigation.
Complete forms regarding changes of address, or theft or loss of mail, or for special services such as registered or priority mail.
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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