Last Update: 11/21/2025
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
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 deliver letters and packages to homes and businesses, making sure everyone gets their mail on time and in the right place.
Summary
The career of a postal service mail carrier is labeled as "Evolving" because AI is increasingly being used to speed up and improve the sorting and logistics of mail, making these processes faster and more efficient. While AI helps behind the scenes, such as in sorting centers, the personal delivery aspect still relies heavily on human carriers who know their communities and can handle unexpected situations.
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Learn more about how you can thrive in this position
Summary
The career of a postal service mail carrier is labeled as "Evolving" because AI is increasingly being used to speed up and improve the sorting and logistics of mail, making these processes faster and more efficient. While AI helps behind the scenes, such as in sorting centers, the personal delivery aspect still relies heavily on human carriers who know their communities and can handle unexpected situations.
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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
Microsoft's Working with AI
AI Applicability
Will Robots Take My Job
Automation Resilience
Medium 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 Carrier
Updated Quarterly • Last Update: 11/22/2025

State of Automation & Augmentation
Today’s mail carriers mostly see AI and automation working behind the scenes, not at their doorsteps. For example, the USPS has rolled out an “edge” AI platform in its sorting centers: powerful servers and cameras now scan billions of packages and letters (about 129 billion items a year [1]), reading addresses, barcodes and even spotting damaged labels [2] [1]. This machine-vision AI helps bundle mail and frees human workers from tedious scans, dramatically speeding processing.
The Postal Service has also used robots in its facilities – for instance, automated carts and forklifts to move mail [3] – and is experimenting with self-driving trucks and delivery drones on test routes [3] [4]. However, these are still mostly pilots or future plans.
On the delivery side, letter carriers still do the final steps by hand. Carriers physically sort each route’s mail and walk or drive it to homes and businesses. They use handheld scanners and routing software (like the USPS’s Address Management and Routing systems [5] [5]) to record deliveries and track packages.
Even so, getting signatures for registered mail, dealing with address changes, and talking with customers remain human tasks. As one postal audit noted, public perception of delivery robots is generally positive but such technology isn’t mature enough yet – carriers still “deliver” the mail [3] [3]. In short, AI today augments postal work (making sorting and logistics faster) but does not replace the carrier’s person-to-person delivery work.

AI Adoption
AI could be adopted faster because of big potential payoffs. The USPS handles huge volumes and has struggled financially (losing billions in recent years), so improving speed and cutting costs are priorities [6] [7]. In fact, postal leaders report that AI tools have already shown big savings: tasks that once took many workers days (like tracking misplaced packages) can now be done by a couple of people in a few hours [1] [2].
Commercial AI and robotics for logistics do exist (major tech firms and shippers are investing heavily [2] [4]), and law or regulation doesn’t explicitly bar things like drones or self-driving trucks. So there is both market and technical availability.
But adoption is also slow for practical and social reasons. A full AI system requires expensive new machines and specialist staff (the USPS had to buy high-end servers and GPUs, and train engineers to run them [2] [1]). Meanwhile, mail carriers are covered by union contracts and safety rules, and many delivery tasks (knowing neighborhood quirks, responding to emergencies, or simply greeting people) demand a human’s judgment and flexibility.
Concerns about mail privacy and trust also mean any AI must be carefully designed. Experts in logistics emphasize that AI usually augments rather than replaces workers [8] [3]. In short, postal officials see AI as a tool to help mail carriers do their jobs better (making routes more efficient or sorting faster), not as a way to eliminate those jobs.
Over time we’ll likely see more AI in sorting and planning, but human carriers – with their knowledge of routes and people – will still be essential.

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Median Wage
$57,490
Jobs (2024)
319,400
Growth (2024-34)
-3.5%
Annual Openings
20,600
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
Obtain signed receipts for registered, certified, and insured mail, collect associated charges, and complete any necessary paperwork.
Deliver mail to residences and business establishments along specified routes by walking or driving, using a combination of satchels, carts, cars, and small trucks.
Return to the post office with mail collected from homes, businesses, and public mailboxes.
Sign for cash-on-delivery and registered mail before leaving the post office.
Meet schedules for the collection and return of mail.
Travel to post offices to pick up the mail for routes or pick up mail from postal relay boxes.
Sell stamps and money orders.
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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