SAFE
Commercial diving is underwater welding, cutting, rigging, salvage, concrete repair and pier/hull inspection — dexterous work in zero-visibility, high-current environments no current robot handles. The real automation pressure is not language AI but ROVs and AUVs, which have already taken a large share of deep offshore inspection and survey work; that squeezes the deep-sea tier while inland, harbor, bridge, dam and marine-construction diving stays human. Certification (ADCI, OSHA 29 CFR 1910 Subpart T, NDT and welding tickets) plus inspection sign-off gives a real but non-licensure shield.
Roughly flat across the period, with year-to-year wobble.
Median pay $49,980 → $72,990 +16.8% in real terms
This line is counted by the Bureau of Labor Statistics — the one figure on this page that isn't a judgement of ours. Headcount moves on demand, offshoring, demographics and the business cycle, and automation is one term among several, often not the loudest.
So a falling line is not evidence that AI did it, and a rising one is not evidence that it won't. Both happen in this register: some occupations resist automation and shrink anyway, others are highly automatable and keep growing. The marked year is 2020.
BLS projection, 2024–2034
+8.5%
Percentage only. The projection counts a different population from the 3,450 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.
Hard to automate, and growing
The work resists current AI and the BLS projects +8.5% more of these jobs by 2034. Note that safe does not mean well paid — several of the fastest-growing resistant occupations are among the lowest paid on the register.
Different clocks. The score is what current AI could do to this work today. The projection is how many of these jobs will exist in 2034. Everything between the two — how fast employers actually adopt, whether demand grows in the meantime — is why they can point opposite ways without either being wrong.
~400 openings a year on average, including replacing people who leave.
DiverTenderPlongeurDivemasterNavy DiverSkin DiverDive TenderRoute DiverScuba DiverDiver TenderMarine DiverSalvage DiverAquarium DiverDeep Sea DiverHard Hat DiverCertified DiverSubmarine DiverCommercial DiverUnderwater WelderArea Commercial DiverUnder Water Assistant (U/W Assistant)Non Destructive Testing Underwater Welder (NDT U/W Welder)Non Destructive Testing Under Water Welder (NDT U/W Welder)
Holding it up: embodiment . Weakest point: trust premium .
Tasks largely resist digitisation Stick-welding a wet patch by feel in black water, cutting a fouled prop with a broco torch, and rigging lift bags on a sunken barge are tasks where hand pressure and touch substitute for sight — the 17 rather than 20 reflects that ROVs genuinely absorbed deep-water visual inspection, tank surveys and pipeline survey hours that used to be dive jobs.
Hands-on in uncontrolled environments You are inside the hazard: pressure, tides, entrapment, differential pressure at intake gratings, decompression obligations, and surface-supplied umbilical management — there is no version of this work performed from a chair, which is why it sits at the ceiling.
Certification preferred, not legally required ADCI cards, OSHA Subpart T dive-team requirements, AWS D3.6 wet-welding qualifications and NDT Level II tickets are all real gates, but they are employer-and-association credentials, not a state licence — the diver's name on an inspection report doesn't carry the personal statutory liability a PE stamp on the bridge report does, and the PE or dive supervisor above you absorbs it.
Meaningful discretion The dive supervisor and the diver in the water make irreversible calls on their own — abort on a current shift, whether that scour hole undermines the pier footing, whether the tag line is fouled enough to blow bailout — under decompression tables and dive plans that constrain but never cover the water you are actually in, which is why it lands at 13 and not in procedure-following territory.
The verdict above describes this occupation as a whole. Almost nobody does the typical version of a job — tick what's actually in your week and see how your own mix sits.
Your task mix speaks to task resistance (17/20 here) — how much of the day's work current AI already does. That is the dimension the boxes above are about.
It cannot move the other three. Liability shield (9/20) is whether the law requires a licensed human to sign. Trust premium (8/20) is whether buyers specifically pay for a person. Judgment and accountability (13/20) is whether the role exists to own consequential calls. Those are facts about the occupation's standing, not about which tasks are in your week — a paralegal who does only trial exhibits still holds no licence. Together they are 30 of this occupation's 67 points (45%).
Embodiment (20/20) is also a property of the work rather than the worker, but we don't tag individual tasks as physical or not, so the picker can't tell you anything about it. That's a limit of this tool, not a claim.
Did we get the list right? Tell us what's missing — the tasks are written from the outside, and you're reading this from the inside.
The moves above are yours to make. This is the other half: what would have to change in the world for the occupation itself to score higher. None of it is in any one person's gift, but it is where the floor actually comes from. Scores here are not a one-way ratchet. Only two of the five dimensions — task resistance and embodiment — track what machines can do. The other three track law, what buyers will pay for, and who is answerable, and those move in both directions, often in response to the same pressure AI creates. If every lever below landed, this occupation would score around 82/100, still SAFE.
As ROVs absorb survey and visual inspection, remaining human dives concentrate on go/no-go calls: entry into confined penstocks, live-boat decisions in current, tag-out verification on intakes. If ROV data conflicts with diver observation and the diver's call governs (as in nuclear-plant and dam intake work under FERC dam-safety inspection requirements), ownership of the consequential call rises
Two-tier shift: routine hull cleaning, pipeline survey and deep-water IMR go to ROV/AUV and robotic hull crawlers, leaving repair, salvage, obstructed-space and confined-penstock work that resists both robots and remote operation. The daily task mix becomes harder even as headcount in the deep tier falls
State DOT / FHWA underwater bridge inspection rules (NBIS 23 CFR 650) tightened so that Level II/III underwater element inspections must be performed and signed by a diver-inspector who is also a licensed Professional Engineer or certified bridge inspection team leader, with personal liability for the condition rating — several state DOTs already require PE-stamped dive reports; a federal mandate would generalize it
ADCI/OSHA Subpart T revision (long-discussed) creating a licensed 'Diving Supervisor' credential with named personal accountability for dive plans and hyperbaric decisions, replacing today's employer-designated supervisor; also API/AWS D3.6M underwater welding requiring a named certified welding inspector's personal sign-off on wet welds
Marine insurers and classification societies (ABS, DNV, Lloyd's) requiring diver-verified in-water survey rather than ROV-only imagery for in-water survey in lieu of drydocking credit — ABS already restricts which IWS scopes accept remote inspection; a hardening of that rule makes buyers pay specifically for a human presence
The limit. Embodiment is already maxed and task_resistance near-maxed, so the score has little headroom from capability dimensions; the risk is not displacement by AI but headcount contraction as ROVs shrink the deep offshore tier. A higher per-worker score can coexist with far fewer workers.
| Houston-Pasadena-The Woodlands, TX | 100 | $50,920 -30% |
| Orlando-Kissimmee-Sanford, FL | 100 | — |
| Miami-Fort Lauderdale-West Palm Beach, FL | 90 | $55,440 -24% |
| Virginia Beach-Chesapeake-Norfolk, VA-NC | 90 | $62,820 -14% |
| Hartford-West Hartford-East Hartford, CT | 70 | $59,690 -18% |
| San Diego-Chula Vista-Carlsbad, CA | 60 | $101,550 +39% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 50 | $84,200 +15% |
| Urban Honolulu, HI | 50 | $95,750 +31% |
| San Diego-Chula Vista-Carlsbad, CA | 60 | $101,550 +39% |
| Urban Honolulu, HI | 50 | $95,750 +31% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 50 | $84,200 +15% |
We have no reported case of a named organisation automating this occupation. Not one deployment, not one announcement.
That is worth saying out loud next to a score of 67. The verdict above is about what the work exposes — what current AI could do to these tasks. It is not a claim that anyone has done it. For this occupation those two things have come apart completely: the capability argument is on this page, and the evidence column is empty.
Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.
Rather than check back: get the digest and we'll tell you what changed — or watch a single occupation from its own page.