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Postmasters and Mail Superintendents

Occupation · SOC 11-9131.00

Plan, direct, or coordinate operational, administrative, management, and support services of a U.S. post office; or coordinate activities of workers engaged in postal and related work in assigned post office.

Also called: Distribution Operation Supervisor (SDO) · Distribution Operations Manager · Postmaster · Remote Encoding Center Manager · Delivery Supervisor · Distribution Operations Supervisor · Mail Delivery Supervisor · Postal Supervisor · Postmaster Relief (PMR) · Remote Encoding Operations Supervisor · Mail Superintendent · Order to Delivery Supervisor

Job family: Management Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-11-9131-00/context.md directly.

AI work map

A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.

59th-percentile task overlap — yet about 900 openings a year (-3.5% projected, BLS) . What exposure means →

AI & job outlook

What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.

Exposure to current AI

Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.

Measure Rank vs all occupations Percentile Score
Overall AI exposure (Felten et al.) High 68th 0.8
LLM task exposure, γ (OpenAI / Eloundou) High 79th 0.9
AI assistant applicability (Microsoft) Low 33rd 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.5), and including AI-powered software (γ 0.9). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

Most of this job's tasks can be done remotely (Dingel–Neiman), which tends to track with higher digital and AI exposure.

Historical automation estimate (2013)

A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.

Frey–Osborne probability 0.8 · 61st percentile among occupations · Moderate

How AI is actually used in this job

Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.

Resolve customer complaints. 1.6%

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook Declining · -3.5% by 2034
Projected annual openings 900
Employment 2024 → 2034 13,100 → 12,700

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Where this work sits on the global GenAI gradient

The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.

42% mean task exposure (2025)
79th percentile of 427 placed occupations
+9 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Business Services and Administration Managers Not Elsewhere Classified · 1219 42% Gradient 2

Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.

Tasks

All 13 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Knowledge

Administration and Management 4.4
Public Safety and Security 4.2
English Language 4.1
Production and Processing 4.0
Customer and Personal Service 4.0
Education and Training 3.7
Personnel and Human Resources 3.6
Mathematics 3.6
Administrative 3.6
Computers and Electronics 3.6
Transportation 3.5

Essential skills

Reading Comprehension 4.0
Active Listening 4.0
Speaking 4.0
Critical Thinking 3.8
Monitoring 3.8
Learning Strategies 3.4
Writing 3.3
Active Learning 3.3

Transferable skills

Social Perceptiveness 4.0
Coordination 4.0
Time Management 4.0
Management of Personnel Resources 3.9
Negotiation 3.6
Service Orientation 3.4
Persuasion 3.3
Instructing 3.3
Judgment and Decision Making 3.3

Abilities

Oral Comprehension 4.0
Written Comprehension 4.0
Oral Expression 4.0
Deductive Reasoning 3.9
Speech Recognition 3.9
Speech Clarity 3.9
Problem Sensitivity 3.8
Inductive Reasoning 3.8
Information Ordering 3.6
Near Vision 3.6
Written Expression 3.5
Category Flexibility 3.5

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Tools & technology

Example Category
Microsoft Excel Spreadsheet software Hot technology In demand
Microsoft Office software Office suite software Hot technology In demand
Microsoft Outlook Electronic mail software Hot technology In demand
Microsoft PowerPoint Presentation software Hot technology
Microsoft Windows Operating system software Hot technology
Microsoft Word Word processing software Hot technology
SAP software Enterprise resource planning ERP software Hot technology
Collection Point Management System CPMS Data base user interface and query software
eBuy Procurement software
Email software Electronic mail software
Facility database software Data base user interface and query software
Payroll software Time accounting software
Personnel management software Human resources software
Personnel scheduling software Human resources software
Postal boundary mapping software Map creation software
Postal tracking software Data base user interface and query software
Vehicle management software Facilities management software
Web Box Activity Tracing System WebBATS Data base user interface and query software
Web browser software Internet browser software

Work context

How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.

Contact With Others 5.0
Face-to-Face Discussions with Individuals and Within Teams 4.9
Time Pressure 4.9
E-Mail 4.9
Telephone Conversations 4.8
Work Outcomes and Results of Other Workers 4.7
Health and Safety of Other Workers 4.7
Work With or Contribute to a Work Group or Team 4.7
Indoors, Environmentally Controlled 4.7
Coordinate or Lead Others in Accomplishing Work Activities 4.6
Deal With External Customers or the Public in General 4.5
Written Letters and Memos 4.5
Frequency of Decision Making 4.5
Dealing With Unpleasant, Angry, or Discourteous People 4.3
Importance of Being Exact or Accurate 4.2
Impact of Decisions on Co-workers or Company Results 4.2
Conflict Situations 4.2
Freedom to Make Decisions 4.0
Determine Tasks, Priorities and Goals 3.9
Public Speaking 3.8
Importance of Repeating Same Tasks 3.7
Level of Competition 3.4
Physical Proximity 3.2
Spend Time Standing 3.1
Spend Time Sitting 3.1
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.1
In an Enclosed Vehicle or Operate Enclosed Equipment 3.0
Exposed to Contaminants 3.0
Spend Time Walking or Running 3.0
Outdoors, Exposed to All Weather Conditions 2.8
Degree of Automation 2.6
Pace Determined by Speed of Equipment 2.6
Exposed to Very Hot or Cold Temperatures 2.5
Consequence of Error 2.4
Spend Time Making Repetitive Motions 2.4
Indoors, Not Environmentally Controlled 2.2
Dealing with Violent or Physically Aggressive People 2.0
Exposed to Extremely Bright or Inadequate Lighting Conditions 1.8
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 1.8
Exposed to Disease or Infections 1.7

How to get in

Job zone
Zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed
Education
Usually requires a high school diploma or GED, though some occupations may not.
Typical entry-level education
High school diploma or equivalent · BLS, the typical path — not a requirement
Related experience
Some occupations may need little or no previous experience; others require several months to a year of experience. For example, landscaping and groundskeeping workers might require very little training or previous experience, while agricultural equipment operators can benefit from on-the job training.
Preparation level
SVP (Below 6.0) — total schooling plus on-the-job experience.

What to study: Public Administration and Social Service Professions . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.

Education of current workers

Share of people in this occupation at each level of education.

High School Diploma 62.1%
Bachelor's Degree 13.4%
Some College Courses 11.1%
Post-Secondary Certificate 6.7%
Associate's Degree (or other 2-year degree) 6.7%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Interest areas

Management/Administration 6.3
Office Work 4.7
Human Resources 4.4
Accounting 3.0
Business Initiatives 2.4
Public Speaking 2.2
Personal Service 2.1
Finance 2.0

Career interests (Holland / RIASEC)

Enterprising 6.0
Conventional 5.7
Social 3.4
Realistic 2.1

Work styles

Dependability 4.0
Attention to Detail 3.0
Leadership Orientation 2.9
Integrity 2.3

Wages & employment

U.S. · annual wages (BLS OEWS)

$81k10th$87k25th$93kMedian$100k75th$109k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
13k202413k2034 (proj.)-3.5% · Declining
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $81,430
25th percentile $87,150
Median (50th) $92,730
75th percentile $99,590
90th percentile $109,140
People employed 13,810

Industries that employ this occupation

Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.

Industry Workers National median pay
Transportation and Warehousing · Sector 13,810 $92,730

Where this work is most concentrated

Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).

Industry Concentration Workers
Transportation and Warehousing · Sector 20.86× 13,810

Part of the Public Service & Safety career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Postmasters and Mail Superintendents sits at the 59th percentile of AI task-overlap and the 77th percentile of median pay, placed here against 10 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Postmasters and Mail Superintendents Postal Service Mail Sorters, Processors, and Processing Machine Operators Administrative Services Managers Shipping, Receiving, and Inventory Clerks Postal Service Clerks First-Line Supervisors of Production and Operating Workers Transportation, Storage, and Distribution Managers First-Line Supervisors of Office and Administrative Support Workers Dispatchers, Except Police, Fire, and Ambulance AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

Options the data surfaces for Postmasters and Mail Superintendents — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Skills that travel

Capabilities this work builds that are used across many other occupations.

Paths in

How people typically prepare for this work.

Zoom out

On the global GenAI exposure gradient this work sits around the 79th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Postmasters and Mail Superintendents show 59th-percentile AI task overlap — and about 900 annual U.S. openings

  • Postmasters and Mail Superintendents rank in the 59th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
  • The occupation is projected to see about 900 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
  • BLS projects employment to be declining (-3.5%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $92,730, across about 13,810 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Postmasters and Mail Superintendents show 59th-percentile AI task overlap — and about 900 annual U.S. openings

• Postmasters and Mail Superintendents rank in the 59th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE)
• The occupation is projected to see about 900 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34)
• BLS projects employment to be declining (-3.5%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $92,730, across about 13,810 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Postmasters and Mail Superintendents". https://singulariki.com/roles/role-11-9131-00
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.

AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom

Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Postmasters and Mail Superintendents." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-11-9131-00

APA

Singulariki. (2026). Postmasters and Mail Superintendents. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-11-9131-00

BibTeX
@misc{singulariki-role-11-9131-00,
  title  = {Postmasters and Mail Superintendents},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-11-9131-00}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.

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