EXPOSED
Almost nothing in this job is screen work: you're hauling pipe into trenches, cutting and threading, holding fixtures while the journeyman sets them, cleaning up the site, and digging where machines can't. Robotics cannot do that in a muddy trench or a tight mechanical room, so AI displacement risk is genuinely low. The exposure is different in kind — helpers hold no license, own no decisions, and are paid near the bottom of the trade, so the real risk is being cheap, replaceable labor rather than being replaced by software.
This fall is concentrated in 2020 and has not recovered since.
Median pay $32,100 → $42,360 +5.6% 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
+4.9% 45,300 → 47,500 on the projections basis
Growing, and only partly exposed
The BLS expects +4.9% more of these jobs by 2034, and at 50/100 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.
~4,900 openings a year on average, including replacing people who leave.
Plumber CubConduit HelperPlumber HelperPlumbing HelperPlumber's HelperSprinkler HelperPlumber AssistantJourneyman PlumberPipe Fitter HelperPlumber ApprenticePlumbing AssistantPipe Coverer HelperPlumbing ApprenticeGas Main Fitter HelperSewer Pipe Layer HelperSprinkler Fitter HelperHydraulic Plumber HelperMarine Pipefitter HelperService Sprinkler HelperTrench Pipe Layer HelperPlumbing Warehouse HelperMarine Steam Fitter HelperWater Main Installer HelperIndustrial Gas Fitter Helper
Holding it up: embodiment . Weakest point: liability shield .
Tasks largely resist digitisation Threading pipe on a portable die head, chipping out concrete around a stub-up, humping 20-foot lengths of cast iron down a trench, and torching rust off joints are tasks no language model touches — 17 rather than 20 only because the plan-reading, materials-takeoff, and permit-paperwork errands helpers get sent on can be shifted to software.
Hands-on in uncontrolled environments Your workday is in open trenches, crawlspaces, unconditioned mechanical rooms and half-built slabs — trench-shoring hazards, wet clay, overhead pipe, confined-space entry — which is exactly the uncontrolled, unmapped, unrepeatable environment robotics fails in, hence 19 and not a controlled-shop 13.
No licence, no signature requirement No plumbing license, no journeyman card, no signature on the inspection sheet: state plumbing codes put the licensed plumber's name on the permit and the work, so a helper carries almost no personal legal exposure and correspondingly no legal barrier to being swapped out — the 3 rather than 0 reflects OSHA trench and confined-space training cards some employers require.
Executes defined procedures on defined inputs You're told which trench, which fitting, which torch setting, and code compliance on slope, venting, and joint approval is called by the journeyman and the inspector — the 6 covers the real but narrow calls you do own, like stopping work when a trench wall starts sloughing or flagging a buried line before you dig.
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 (3/20) is whether the law requires a licensed human to sign. Trust premium (5/20) is whether buyers specifically pay for a person. Judgment and accountability (6/20) 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 14 of this occupation's 50 points (28%).
Embodiment (19/20) 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 64/100, still EXPOSED.
Medical gas (NFPA 99 / ASSE 6010) and backflow-prevention certifications becoming mandatory for anyone touching those installs, including assistants, so the helper holds a personal credential that can be revoked.
State plumbing boards or DOL apprenticeship rules that make a registered apprentice (not an unregistered 'helper') the only person legally allowed to assist on licensed work — i.e. converting helper headcount into registered apprentice slots with documented hours toward licensure. Several states (e.g. Oregon, Massachusetts) already restrict who may work under a licensed plumber and at what ratio; tightening ratio rules or banning unregistered helpers on medical-gas, backflow, or fuel-gas work would pull this role inside the licensing perimeter.
Trench safety enforcement shifting personal duty downward: OSHA competent-person requirements for excavations over 5 ft (1926 Subpart P) being enforced so that a second qualified person on-site — often the helper — signs off on shoring and soil classification before entry. That makes a consequential, individually attributable call part of the role.
Task-mix shift is weak here because the routine tier of this job is physical, not clerical — but if prefab/modular skids move cut-and-thread work off-site, the remaining field content becomes fit-up, tolerance chasing, and retrofit work in existing buildings, which is the harder tier. Watch for the share of hours spent on renovation/retrofit versus new construction.
The limit. Trust premium has no realistic route: buyers contract with the licensed plumber or the mechanical contractor and never select the helper, so no one will ever pay a premium for a specific human in this slot. The honest read is that this occupation's exposure is wage compression and substitution by other cheap labor, not software — and the only real upward lever is exiting helper status into registered apprenticeship, which raises the score by changing the occupation you're in rather than by hardening this one.
| New York-Newark-Jersey City, NY-NJ | 4,360 | $52,000 +23% |
| Dallas-Fort Worth-Arlington, TX | 2,330 | $43,680 +3% |
| Houston-Pasadena-The Woodlands, TX | 1,500 | $44,750 +6% |
| Miami-Fort Lauderdale-West Palm Beach, FL | 1,260 | $37,520 -11% |
| Atlanta-Sandy Springs-Roswell, GA | 1,100 | $39,650 -6% |
| Charlotte-Concord-Gastonia, NC-SC | 960 | $46,540 +10% |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 920 | $46,840 +11% |
| Tampa-St. Petersburg-Clearwater, FL | 760 | $38,930 -8% |
| Seattle-Tacoma-Bellevue, WA | 280 | $65,600 +55% |
| Santa Maria-Santa Barbara, CA | 90 | $63,210 +49% |
| New York-Newark-Jersey City, NY-NJ | 4,360 | $52,000 +23% |
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 50. 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.