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Commercial Divers

Occupation · SOC 49-9092.00

Work below surface of water, using surface-supplied air or scuba equipment to inspect, repair, remove, or install equipment and structures. May use a variety of power and hand tools, such as drills, sledgehammers, torches, and welding equipment. May conduct tests or experiments, rig explosives, or photograph structures or marine life.

Also called: Commercial Diver · Diver · Diver Tender · Tender · Hard Hat Diver · Non Destructive Testing Under Water Welder (NDT U/W Welder) · Salvage Diver · Aquarium Diver · Area Commercial Diver · Certified Diver · Deep Sea Diver · Dive Tender

Job family: Installation, Maintenance, and Repair Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-49-9092-00/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.

16th-percentile task overlap — yet about 400 openings a year (+8.5% 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.) Low 14th -1.1
LLM task exposure, γ (OpenAI / Eloundou) Low 18th 0.1
AI assistant applicability (Microsoft) Low 24th 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.1), and including AI-powered software (γ 0.1). 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 0.2 · 33rd percentile among occupations · Low

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.

Operate underwater video, sonar, recording, or related equipment to investigate underwater structures or marine life. 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 Growing fast · +8.5% by 2034
Projected annual openings 400
Employment 2024 → 2034 4,200 → 4,500

“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.

16% mean task exposure (2025)
19th percentile of 427 placed occupations
−3 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Underwater Divers · 7541 16% 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 25 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).

Abilities

Oral Comprehension 4.1
Oral Expression 4.0
Problem Sensitivity 4.0
Arm-Hand Steadiness 4.0
Control Precision 3.9
Multilimb Coordination 3.9
Manual Dexterity 3.8
Finger Dexterity 3.8
Deductive Reasoning 3.6
Information Ordering 3.6
Near Vision 3.6
Speech Recognition 3.6
Inductive Reasoning 3.5
Extent Flexibility 3.5
Perceptual Speed 3.4
Written Comprehension 3.3
Flexibility of Closure 3.3
Static Strength 3.3
Far Vision 3.3
Depth Perception 3.3

Knowledge

Mechanical 4.1
Building and Construction 3.8
Physics 3.5
Customer and Personal Service 3.2
Mathematics 3.1
Public Safety and Security 3.1

Essential skills

Critical Thinking 3.9
Active Listening 3.8
Speaking 3.6
Reading Comprehension 3.3

Transferable skills

Operations Monitoring 3.8
Quality Control Analysis 3.5
Operation and Control 3.4
Time Management 3.4
Coordination 3.3
Complex Problem Solving 3.3
Equipment Maintenance 3.3
Troubleshooting 3.3
Repairing 3.3
Judgment and Decision Making 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
Diving logbook software Data base user interface and query software
Diving table software Data base user interface and query software
Dynamic positioning DP software Analytical or scientific software
Remote operated vehicle ROV dive log software 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.

Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 4.7
Outdoors, Exposed to All Weather Conditions 4.6
Contact With Others 4.6
Face-to-Face Discussions with Individuals and Within Teams 4.5
Work With or Contribute to a Work Group or Team 4.5
Health and Safety of Other Workers 4.4
Freedom to Make Decisions 4.4
Importance of Being Exact or Accurate 4.3
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 4.2
Work Outcomes and Results of Other Workers 4.2
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.2
Telephone Conversations 4.1
Determine Tasks, Priorities and Goals 4.0
Physical Proximity 4.0
Consequence of Error 4.0
Wear Specialized Protective or Safety Equipment such as Breathing Apparatus, Safety Harness, Full Protection Suits, or Radiation Protection 4.0
Impact of Decisions on Co-workers or Company Results 4.0
Coordinate or Lead Others in Accomplishing Work Activities 3.9
Time Pressure 3.9
Exposed to Contaminants 3.8
Spend Time Standing 3.8
Indoors, Not Environmentally Controlled 3.7
Frequency of Decision Making 3.6
Exposed to Very Hot or Cold Temperatures 3.5
Exposed to Hazardous Equipment 3.5
Exposed to Cramped Work Space, Awkward Positions 3.5
Spend Time Bending or Twisting Your Body 3.5
Exposed to Extremely Bright or Inadequate Lighting Conditions 3.4
Importance of Repeating Same Tasks 3.4
E-Mail 3.4
Outdoors, Under Cover 3.3
Level of Competition 3.2
Spend Time Making Repetitive Motions 3.2
Written Letters and Memos 3.1
In an Enclosed Vehicle or Operate Enclosed Equipment 3.1
Exposed to Minor Burns, Cuts, Bites, or Stings 3.0
Deal With External Customers or the Public in General 3.0
Conflict Situations 2.9
Exposed to Hazardous Conditions 2.9
Spend Time Walking or Running 2.7

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.

Post-Secondary Certificate 72.4%
Associate's Degree (or other 2-year degree) 11.6%
High School Diploma 7.7%
Bachelor's Degree 5.0%
Some College Courses 3.3%

Interests & work styles

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

Career interests (Holland / RIASEC)

Realistic 7.0
Investigative 3.6
Conventional 3.1

Interest areas

Physical/Manual Labor 6.3
Mechanics/Electronics 4.2
Engineering 4.0
Nature/Outdoors 3.3
Construction/Woodwork 2.3
Transportation/Machine Operation 2.3

Work styles

Dependability 6.0
Attention to Detail 5.0
Cautiousness 4.0
Self-Control 3.0
Stress Tolerance 2.7
Perseverance 2.3

Wages & employment

U.S. · annual wages (BLS OEWS)

$39k10th$49k25th$61kMedian$94k75th$153k90th
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.
4k20245k2034 (proj.)+8.5% · Growing fast
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $39,130
25th percentile $49,370
Median (50th) $61,130
75th percentile $93,840
90th percentile $152,580
People employed 3,430

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
Administrative and Support and Waste Management and Remediation Services · Sector 1,220 $63,240
Construction · Sector 1,050 $61,420
Transportation and Warehousing · Sector 640 $63,900
Arts, Entertainment, and Recreation · Sector 170 $38,190
Professional, Scientific, and Technical Services · Sector 120 $71,210
Engineering Services · National industry 60 $69,560
Manufacturing · Sector 40 $81,510

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
Administrative and Support and Waste Management and Remediation Services · Sector 6.07× 1,220
Construction · Sector 5.81× 1,050
Transportation and Warehousing · Sector 3.89× 640
Arts, Entertainment, and Recreation · Sector 2.89× 170
Professional, Scientific, and Technical Services · Sector 0.5× 120

Part of the Supply Chain & Transportation career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Commercial Divers sits at the 16th percentile of AI task-overlap and the 48th percentile of median pay, placed here against 12 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Commercial Divers Dredge Operators Helpers--Electricians Boilermakers Sailors and Marine Oilers Hoist and Winch Operators Rotary Drill Operators, Oil and Gas Ship Engineers Marine Engineers and Naval Architects 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 Commercial Divers — 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 19th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Commercial Divers show 16th-percentile AI task overlap — and about 400 annual U.S. openings

  • Commercial Divers rank in the 16th percentile (Low 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 400 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 growing fast (+8.5%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $61,130, across about 3,430 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Commercial Divers show 16th-percentile AI task overlap — and about 400 annual U.S. openings

• Commercial Divers rank in the 16th percentile (Low 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 400 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 growing fast (+8.5%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $61,130, across about 3,430 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Commercial Divers". https://singulariki.com/roles/role-49-9092-00
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. "Commercial Divers." 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-49-9092-00

APA

Singulariki. (2026). Commercial Divers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-49-9092-00

BibTeX
@misc{singulariki-role-49-9092-00,
  title  = {Commercial Divers},
  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-49-9092-00}
}

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

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