Skip to content
Singulariki

Captains, Mates, and Pilots of Water Vessels

Occupation · SOC 53-5021.00

Command or supervise operations of ships and water vessels, such as tugboats and ferryboats. Required to hold license issued by U.S. Coast Guard.

Also called: Boat Captain · Captain · First Mate · Mate · Ferry Boat Captain · Harbor Pilot · River Pilot · Ship Pilot · Tugboat Captain · Vessel Master · Able Bodied Seaman (AB Seaman) · Able Bodied Tankerman (AB Tankerman)

Job family: Transportation and Material Moving Occupations

Take this to your AI
Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-53-5021-00/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.

36th-percentile task overlap — yet about 4,300 openings a year (+0.5% 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.) Moderate 37th -0.4
LLM task exposure, γ (OpenAI / Eloundou) Moderate 34th 0.3
AI assistant applicability (Microsoft) Moderate 42nd 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.2), with simple added tooling (β 0.3), and including AI-powered software (γ 0.3). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.

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 0.3 · 38th 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.

Maintain records of daily activities, personnel reports, ship positions and movements, ports of call, weather and sea conditions, pollution control efforts, or cargo or passenger status. 0.2%

Job outlook

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

Outlook About average · +0.5% by 2034
Projected annual openings 4,300
Employment 2024 → 2034 40,700 → 40,900

“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.

29% mean task exposure (2025)
55th percentile of 427 placed occupations
−6 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Ships' Deck Officers and Pilots · 3152 29% Not exposed

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

Emerging tasks

Newer responsibilities O*NET has flagged as growing for this occupation.

  • Oversee the use of drones for inspection and maintenance of hard-to-reach parts of the vessel.

Work activities

Knowledge, skills & abilities

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

Knowledge

Transportation 4.1
Public Safety and Security 3.8
Mechanical 3.4
Law and Government 3.4
English Language 3.3
Geography 3.3

Abilities

Oral Comprehension 3.9
Oral Expression 3.9
Problem Sensitivity 3.8
Deductive Reasoning 3.8
Spatial Orientation 3.8
Far Vision 3.8
Written Comprehension 3.6
Arm-Hand Steadiness 3.6
Control Precision 3.6
Near Vision 3.6
Speech Clarity 3.6
Inductive Reasoning 3.5
Information Ordering 3.5
Perceptual Speed 3.5
Speech Recognition 3.5
Written Expression 3.4
Flexibility of Closure 3.4
Manual Dexterity 3.4
Depth Perception 3.4
Category Flexibility 3.3
Visualization 3.3
Selective Attention 3.3
Time Sharing 3.3

Transferable skills

Operation and Control 3.6
Operations Monitoring 3.4
Judgment and Decision Making 3.4
Coordination 3.3
Complex Problem Solving 3.3
Management of Personnel Resources 3.3

Essential skills

Speaking 3.5
Monitoring 3.5
Active Listening 3.4
Critical Thinking 3.4
Reading Comprehension 3.3

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 Office software Office suite software Hot technology In demand
Apple macOS Operating system software Hot technology
Autodesk Revit Computer aided design CAD software Hot technology
Microsoft Excel Spreadsheet software Hot technology
Microsoft Outlook Electronic mail software Hot technology
Microsoft PowerPoint Presentation software Hot technology
Microsoft Word Word processing software Hot technology
Computerized maintenance management system CMMS Facilities management software
FURUNO navigational chart software Route navigation software
Groundwater modeling system GMS Analytical or scientific software
Jeppesen Marine Nobeltec Admiral Route navigation software
JRC navigation software Route navigation software
KNMI TurboWin Data base user interface and query software
Log book software Data base user interface and query software
Maptech The CAPN Route navigation software
Microsoft Office Outlook Calendar and scheduling software
Navigational chart software Route navigation software
SHIPNEXT Materials requirements planning logistics and supply chain 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.

Face-to-Face Discussions with Individuals and Within Teams 4.8
Frequency of Decision Making 4.6
Impact of Decisions on Co-workers or Company Results 4.6
Contact With Others 4.6
Freedom to Make Decisions 4.5
Health and Safety of Other Workers 4.5
Work With or Contribute to a Work Group or Team 4.4
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 4.4
Telephone Conversations 4.4
Determine Tasks, Priorities and Goals 4.3
Outdoors, Exposed to All Weather Conditions 4.3
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.3
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 4.3
Consequence of Error 4.3
In an Enclosed Vehicle or Operate Enclosed Equipment 4.2
Importance of Being Exact or Accurate 4.1
Work Outcomes and Results of Other Workers 4.1
Exposed to Extremely Bright or Inadequate Lighting Conditions 4.1
Time Pressure 4.0
Coordinate or Lead Others in Accomplishing Work Activities 3.9
Exposed to Contaminants 3.9
Physical Proximity 3.9
Indoors, Not Environmentally Controlled 3.8
E-Mail 3.7
Importance of Repeating Same Tasks 3.6
Exposed to Very Hot or Cold Temperatures 3.5
Deal With External Customers or the Public in General 3.5
Spend Time Standing 3.4
Exposed to Whole Body Vibration 3.4
Level of Competition 3.4
In an Open Vehicle or Operating Equipment 3.2
Conflict Situations 3.2
Exposed to Minor Burns, Cuts, Bites, or Stings 3.2
Exposed to Hazardous Equipment 3.2
Written Letters and Memos 3.1
Spend Time Making Repetitive Motions 3.1
Outdoors, Under Cover 3.0
Exposed to Cramped Work Space, Awkward Positions 3.0
Exposed to Hazardous Conditions 3.0
Exposed to High Places 2.9

How to get in

Job zone
Zone 3 — Job Zone Three: Medium Preparation Needed
Education
Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree.
Typical entry-level education
Postsecondary nondegree award · BLS, the typical path — not a requirement
Related experience
Previous work-related skill, knowledge, or experience is required for these occupations. For example, an electrician must have completed three or four years of apprenticeship or several years of vocational training, and often must have passed a licensing exam, in order to perform the job.
Preparation level
SVP (6.0 to < 7.0) — total schooling plus on-the-job experience.

What to study: Transportation and Materials Moving . 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 42.0%
Post-Secondary Certificate 36.6%
Bachelor's Degree 8.4%
Some College Courses 5.5%
Less than a High School Diploma 4.5%
Associate's Degree (or other 2-year degree) 2.2%
Master's Degree 0.5%
First Professional Degree 0.4%

Interests & work styles

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

Work styles

Dependability 9.0
Attention to Detail 8.0
Integrity 7.0
Cautiousness 6.0
Self-Control 5.0
Stress Tolerance 4.0
Perseverance 3.0
Leadership Orientation 3.0

Interest areas

Transportation/Machine Operation 6.3
Management/Administration 4.6
Nature/Outdoors 3.6
Mechanics/Electronics 3.5
Engineering 3.0

Career interests (Holland / RIASEC)

Realistic 5.6
Conventional 4.6
Enterprising 4.2

Wages & employment

U.S. · annual wages (BLS OEWS)

$46k10th$61k25th$86kMedian$125k75th$164k90th
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.
41k202441k2034 (proj.)+0.5% · About average
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $46,260
25th percentile $60,800
Median (50th) $85,540
75th percentile $124,530
90th percentile $164,230
People employed 35,390

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 26,550 $92,440
Arts, Entertainment, and Recreation · Sector 1,210 $59,900
Construction · Sector 1,130 $82,390
Real Estate and Rental and Leasing · Sector 690 $85,520
Mining, Quarrying, and Oil and Gas Extraction · Sector 560 $128,740
Administrative and Support and Waste Management and Remediation Services · Sector 550 $61,080
Educational Services · Sector 370 $64,460
Wholesale Trade · Sector 350 $138,780
Professional, Scientific, and Technical Services · Sector 340 $74,790
Manufacturing · Sector 280 $82,970
Management of Companies and Enterprises · Sector 230
Engineering Services · National industry 140 $72,990

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 15.65× 26,550
Mining, Quarrying, and Oil and Gas Extraction · Sector 4.25× 560
Arts, Entertainment, and Recreation · Sector 1,210
Real Estate and Rental and Leasing · Sector 1.27× 690
Construction · Sector 0.61× 1,130
Engineering Services · National industry 0.53× 140
Management of Companies and Enterprises · Sector 0.36× 230
Administrative and Support and Waste Management and Remediation Services · Sector 0.27× 550

Part of the Supply Chain & Transportation career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Captains, Mates, and Pilots of Water Vessels sits at the 36th percentile of AI task-overlap and the 74th percentile of median pay, placed here against 11 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Captains, Mates, and Pilots of Water Vessels Dredge Operators Motorboat Operators Sailors and Marine Oilers Bridge and Lock Tenders Ship Engineers Riggers Aircraft Cargo Handling Supervisors Locomotive Engineers Airline Pilots, Copilots, and Flight Engineers Commercial Pilots 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 Captains, Mates, and Pilots of Water Vessels — 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 55th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Captains, Mates, and Pilots of Water Vessels show 36th-percentile AI task overlap — and about 4,300 annual U.S. openings

  • Captains, Mates, and Pilots of Water Vessels rank in the 36th 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 4,300 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 about average (+0.5%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $85,540, across about 35,390 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Captains, Mates, and Pilots of Water Vessels show 36th-percentile AI task overlap — and about 4,300 annual U.S. openings

• Captains, Mates, and Pilots of Water Vessels rank in the 36th 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 4,300 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 about average (+0.5%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $85,540, across about 35,390 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Captains, Mates, and Pilots of Water Vessels". https://singulariki.com/roles/role-53-5021-00
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. "Captains, Mates, and Pilots of Water Vessels." 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-53-5021-00

APA

Singulariki. (2026). Captains, Mates, and Pilots of Water Vessels. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-53-5021-00

BibTeX
@misc{singulariki-role-53-5021-00,
  title  = {Captains, Mates, and Pilots of Water Vessels},
  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-53-5021-00}
}

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

Embed this chart

Paste this into any page. It links back here for attribution.