Changing fast

Last Update: 3/13/2026

Your role’s AI Resilience Score is

18.1%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
High

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 Clerks

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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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 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

31.7%

31.7%

Microsoft's Working with AI

AI Applicability

Learn about this score
Changing fast iconChanging fast

26.0%

26.0%

Will Robots Take My Job

Automation Resilience

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Changing fast iconChanging fast

11.1%

11.1%

Althoff & Reichardt

Economic Growth

Learn about this score
Changing fast iconChanging fast

4.5%

4.5%

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):

-3.5%

Growth Percentile:

14.4%

Annual Openings:

6,100

Annual Openings Pct:

43.5%

Analysis of Current AI Resilience

Postal Service Clerks

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

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.

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AI Adoption

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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More Career Info

Career: Postal Service Clerks

Employment & Wage Data

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

Task-Level AI Resilience Scores

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

1

70% ResilienceSupplemental

Post announcements or government information on public bulletin boards.

2

65% ResilienceCore Task

Provide assistance to the public in complying with federal regulations of Postal Service and other federal agencies.

3

65% ResilienceCore Task

Receive letters and parcels, and place mail into bags.

4

60% ResilienceCore Task

Obtain signatures from recipients of registered or special delivery mail.

5

60% ResilienceCore Task

Put undelivered parcels away, retrieve them when customers come to claim them, and complete any related documentation.

6

60% ResilienceCore Task

Respond to complaints regarding mail theft, delivery problems, and lost or damaged mail, filling out forms and making appropriate referrals for investigation.

7

55% ResilienceCore Task

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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