EXPOSED
Dredge operators sit in a cab or wheelhouse running cutterheads, drag arms, winches and spud positioning while reading depth soundings and current — physical work on unstable water in weather no robot handles reliably today. But the screen-facing half of the job is exactly what automates: GPS/RTK dredge guidance, automated cut-profile following, tonnage and production logging, and semi-autonomous cutter suction control are already commercial and shrink the number of operators per hull. The modal worker is a crew member on a marine construction or sand-and-gravel job, credentialed for the vessel rather than personally licensed for the dredging decisions.
Most of this decline happened after 2021 — it is not the pandemic dip.
Median pay $47,040 → $49,640 -15.6% 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
+1.2% 1,100 → 1,200 on the projections basis
Growing, and only partly exposed
The BLS expects +1.2% more of these jobs by 2034, and at 53/100 the work is only partly exposed — some tasks are automatable, the core of the job is not. Nothing here is in tension.
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.
~100 openings a year on average, including replacing people who leave.
DredgerDredge HandDredge MateDredgemasterDredge WorkerDredge DeckhandDredge EngineerDredge OperatorHydraulic LevermanDredge Boat EngineerDredge Lever Operator
Holding it up: embodiment . Weakest point: trust premium .
Tasks largely resist digitisation Trimble/HYPACK dredge guidance and automated cut-profile following already handle the pay-line tracking, but nobody has automated feeling the cutterhead load through the ladder, clearing a rag or cobble jam, resetting spuds and anchor wires in a running current, or working a swinging drag arm in chop — which is why this lands at 14 and not 18: the plotting is gone, the hull-handling is not.
Hands-on in uncontrolled environments You work on a floating hull that pitches, in weather, with high-pressure discharge line, wire under tension, winches, and a cutterhead that can be pulled up for tooth changes — an uncontrolled marine environment where a slip means overboard, so 17 rather than the low teens reserved for jobs where the physical part is occasional site visits.
Certification preferred, not legally required There is no dredge operator licence; you may carry a USCG credential for the vessel, an MSHA Part 46/48 card on a sand-and-gravel operation, or nothing at all beyond employer sign-off, and when a dredge cuts outside the permitted template or hits a pipeline it is the contractor and the permit holder answering to the Corps of Engineers — 8, not 3, because those vessel and mine-safety cards are real gates on who gets in the cab.
Meaningful discretion You decide swing speed, cut thickness and when to pull off a hard bottom or slack the wires before a passing wake, and you're the one who notices sand slurry going to water and shuts down before you burn a pump — real calls with money attached, but bounded by a dredging plan, a permitted template and a super on the radio, which is why 10 rather than the mid-teens of someone who owns the cut design.
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 (14/20 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 (8/20) is whether the law requires a licensed human to sign. Trust premium (4/20) is whether buyers specifically pay for a person. Judgment and accountability (10/20) 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 22 of this occupation's 53 points (42%).
Embodiment (17/20) 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 67/100 — SAFE.
Automation absorbing cut-profile following and production logging leaves the shift built around the non-routine calls: unexploded ordnance or utility-strike stop-work decisions, spud repositioning in unforecast current, pipeline/anchor conflicts with traffic, and endangered-species/turbidity shutdowns. Where an operator personally owns the stop-dredging call under an environmental window, this tier is what remains
Genuine two-tier job: if RTK guidance and semi-autonomous cutter control take the steady-state cutting, the residual day is debris and hardpan response, pipeline/pontoon handling, breakdown diagnosis and severe-weather demobilization — tasks no commercial system executes
USCG Subchapter M-style towing-vessel inspection logic extended to self-propelled and crewed dredge plant, or a Corps of Engineers contract clause requiring a named credentialed operator-in-charge to certify each shift's cut record and turbidity compliance under a 401/404 permit — personal signature on the dredging record rather than vessel-level credentialing
Fleet mix shifting toward small hydraulic and mechanical plant on inland waterways, marinas and tailings ponds, where remote-operation retrofits are uneconomic and deck work is inseparable from the console
The limit. No realistic trust-premium route: buyers are the Corps, ports and aggregate producers, who procure on cubic yards and schedule and have no reason to pay for a human at the console. With ~1,040 workers, remote operations centers running several hulls per operator cut headcount regardless of how high the per-seat judgment content goes.
| Kansas City, MO-KS | 40 | $48,980 -1% |
| Kansas City, MO-KS | 40 | $48,980 -1% |
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 53. 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.