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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 4/23/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
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.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
Postmasters and Mail Superintendents are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
This career is labeled as "Somewhat Resilient" because while AI is taking over routine tasks like sorting mail and answering simple questions, many leadership and customer care tasks still require human judgment and empathy. Postmasters need to solve complex problems, train staff, and handle negotiations, which are skills AI can't yet match.
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 somewhat resilient
This career is labeled as "Somewhat Resilient" because while AI is taking over routine tasks like sorting mail and answering simple questions, many leadership and customer care tasks still require human judgment and empathy. Postmasters need to solve complex problems, train staff, and handle negotiations, which are skills AI can't yet match.
Read full analysisAnalysis of Current AI Resilience
Postmasters & Mail Supts.
Updated Quarterly • Last Update: 2/17/2026

Many postal tasks are already partly automated. For example, new high-speed sorting machines can handle thousands of packages per hour using cameras and AI to read addresses [1]. In fact, USPS reports that modern OCR (optical character recognition) systems – improved with machine learning – can interpret over 99% of addresses correctly [2] [2].
This means less mail needs human review. On the customer side, USPS is using AI to handle routine questions. By 2025, the mail service plans to switch to a cloud-based call center with AI chatbots.
These bots can automatically track packages and answer common inquiries [3] [4]. An internal AI chat assistant is also being tested so employees can quickly find postal policies or data [5].
However, many leadership tasks still rely on people. Writing in-depth reports or negotiating labor disputes require judgment and trust, which AI today doesn’t have. USPS and experts agree AI can answer standard questions, but human supervisors are needed for complex customer issues, training staff, and labor talks [4] [5].
In short, computers help with routine sorting and FAQs, but human skills – like problem-solving and empathy – remain crucial in a postmaster’s work.

Postal services have incentives to adopt AI, but also face hurdles. On the plus side, available AI tools (for tracking, scheduling, chat, etc.) can boost efficiency. Big logistics companies invest billions in AI – Amazon’s robots saved \$1.6 billion on costs [6] – and industry reports warn that postal operators who don’t modernize “are failing” [6].
In the U.S., USPS leadership notes that after huge increases in mail volume and millions of customer calls, AI offers a way to improve service without overworking staff [3] [4]. For example, 65% of USPS complaints are simple “where’s my package?” questions, which AI can learn to answer quickly instead of keeping people on hold [3] [4].
On the other hand, automation isn’t free or automatic. High-tech systems cost a lot to buy and maintain, and USPS must balance costs carefully (postal workers earn about \$90K on average [7]). Using AI also raises social and legal issues: USPS says any new tools must be carefully tested “with privacy protections at every step” [5].
People worry about losing the personal touch, so experts say how AI is used matters. In practice, USPS plans to have AI handle only well-defined tasks (like routine tracking or data lookup) and leave harder problems to people [4] [5].
In the end, AI is changing some postmaster tasks (especially data and routine work), but many leadership and customer-care tasks still need human judgment. By combining smart tools with human decision-making, USPS aims to improve efficiency while keeping the trusted, human side of its service [4] [5].

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They manage post offices, ensuring mail is sorted and delivered on time, and oversee postal workers to keep everything running smoothly.
Median Wage
$92,730
Jobs (2024)
13,100
Growth (2024-34)
-3.5%
Annual Openings
900
Education
High school diploma or equivalent
Experience
Less than 5 years
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Collect rents for post office boxes.
Select and train postmasters and managers of associate postal units.
Hire and train employees, and evaluate their performance.
Direct and coordinate operational, management, and supportive services of one or a number of postal facilities.
Organize and supervise activities such as the processing of incoming and outgoing mail.
Resolve customer complaints.
Confer with suppliers to obtain bids for proposed purchases and to requisition supplies, disbursing funds according to federal regulations.
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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