How exposed to AI is a Commercial Diver?

Of the 25 tasks O*NET lists for commercial divers, 0 could be done in half the time with a chat window today. 21 cannot be sped up at all. Here is which.

Exposure means published research judged an AI could halve the time a task takes, at the same quality. It does not mean the task stops needing a person. How to read this


Also called
Commercial DiverDiverDiver TenderHard Hat DiverNon Destructive Testing Under Water Welder (NDT U/W Welder)Salvage DiverTender
Reachable today Needs software built first Cannot be sped up
25
tasks rated for this occupation
5%
hold a degree, from a survey of 21
3k
people do this job in the US
19 of 50
least protected in installation and repair

Every task, and what AI can do with it

These are O*NET's task statements for this occupation, exactly as written, sorted into the three bands by the ratings behind this report. Nothing has been reworded.

Only with software built on top

4
  • Communicate with workers on the surface while underwater, using signal lines or telephones
  • Obtain information about diving tasks and environmental conditions
  • Operate underwater video, sonar, recording, or related equipment to investigate underwater structures or marine life
  • Take test samples or photographs to assess the condition of vessels or structures

Cannot be sped up

21
  • Take appropriate safety precautions, such as monitoring dive lengths and depths and registering with authorities before diving expeditions begin
  • Check and maintain diving equipment, such as helmets, masks, air tanks, harnesses, or gauges
  • Descend into water with the aid of diver helpers, using scuba gear or diving suits
  • Supervise or train other divers, including hobby divers
  • Inspect the condition of underwater steel or wood structures
  • Inspect and test docks, ships, buoyage systems, plant intakes or outflows, or underwater pipelines, cables, or sewers, using closed circuit television, still photography, and testing equipment
  • Repair ships, bridge foundations, or other structures below the water line, using caulk, bolts, and hand tools
  • Recover objects by placing rigging around sunken objects, hooking rigging to crane lines, and operating winches, derricks, or cranes to raise objects
  • Cut and weld steel, using underwater welding equipment, jigs, and supports
  • Install, inspect, clean, or repair piping or valves
  • Carry out non-destructive testing, such as tests for cracks on the legs of oil rigs at sea
  • Install pilings or footings for piers or bridges
  • Salvage wrecked ships or their cargo, using pneumatic power velocity and hydraulic tools and explosive charges, when necessary
  • Remove obstructions from strainers or marine railway or launching ways, using pneumatic or power hand tools
  • Set or guide placement of pilings or sandbags to provide support for structures, such as docks, bridges, cofferdams, or platforms
  • Perform activities related to underwater search and rescue, salvage, recovery, or cleanup operations
  • Perform offshore oil or gas exploration or extraction duties, such as conducting underwater surveys or repairing and maintaining drilling rigs or platforms
  • Drill holes in rock and rig explosives for underwater demolitions
  • Remove rubbish or pollution from the sea
  • Set up dive sites for recreational instruction
  • Cultivate or harvest marine species or perform routine work on fish farms
What this does not say

This is not a prediction about your job

Nobody surveyed an employer. Tasks are counted equally, so a percentage here is a share of the list rather than a share of your week. And the ratings were made in 2023, which makes every figure a floor rather than a ceiling.

It must never be used to select anyone for redundancy. The full limits are here.

Where to go next

This is the standard task list for the title. The useful next question is which of the tasks you actually do should go near AI, and which should not.


Exposure ratings from Eloundou, Manning, Mishkin and Rock, GPTs are GPTs: Labor market impact potential of LLMs, Science 384, 1306–1308, 2024, used under the MIT licence. This page includes information from the O*NET Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. People Team AI has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications. Employment figures from the US Bureau of Labor Statistics.