How much of this occupation’s work can be materially affected by current AI systems.
How likely exposure is to translate into reduced human demand.
Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured
Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.
What is driving the score?
Occupation scores are built from the task mix—not a single prediction about a job title.
Where AI can do more
Routine, digitized, and highly repeatable tasks face the greatest pressure.
- Communicate with workers on the surface while underwater, using signal lines or telephones.68
- Obtain information about diving tasks and environmental conditions.68
- Descend into water with the aid of diver helpers, using scuba gear or diving suits.68
- Recover objects by placing rigging around sunken objects, hooking rigging to crane lines, and operating winches, derricks, or cranes to raise objects.68
Where people still matter
These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.
- Cut and weld steel, using underwater welding equipment, jigs, and supports.01
- Carry out non-destructive testing, such as tests for cracks on the legs of oil rigs at sea.02
- Perform offshore oil or gas exploration or extraction duties, such as conducting underwater surveys or repairing and maintaining drilling rigs or platforms.03
- Remove obstructions from strainers or marine railway or launching ways, using pneumatic or power hand tools.04
- Repair ships, bridge foundations, or other structures below the water line, using caulk, bolts, and hand tools.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Ship Engineers
Closely related work
Compare these careers →Sailors and Marine Oilers
Closely related work
Compare these careers →Boilermakers
Closely related work
Compare these careers →Rotary Drill Operators, Oil and Gas
Related work
Compare these careers →Hoist and Winch Operators
Related work
Compare these careers →Marine Engineers and Naval Architects
Shares some work
Compare these careers →Adoption and labour-market outlook
Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.
O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.
