EXPOSED
Running an excavator, dozer, or grader on a live jobsite — reading soil, spotting utilities, working around ground crews and shifting weather — is exactly what language AI can't touch and what robotics still handles only in fenced, repetitive settings like mine haul roads. The real pressure is different: GPS machine control and automated grade systems already do the fine blade work that used to define a senior operator's value, compressing the skill premium and letting one operator cover more ground per shift. Licensure is thin (CDL, crane or aerial certs, OSHA cards rather than a professional stamp), so the moat is physical and contractual, not regulatory.
Headcount grew steadily across the period.
Median pay $48,980 → $59,850 -2.2% 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
+3.6% 489,300 → 507,100 on the projections basis
Growing, and only partly exposed
The BLS expects +3.6% more of these jobs by 2034, and at 64/100 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.
~41,900 openings a year on average, including replacing people who leave.
GraderSanderExcavatorCar RunnerHoe RunnerRoad GraderLand LevelerMuck OperatorBlade OperatorCable EngineerCrane EngineerDump AttendantGrader OperatorLandfill GraderMucker OperatorRooter OperatorShovel EngineerBackhoe OperatorCatshovel DriverDerrick EngineerDitcher OperatorEquipment DriverGradall OperatorMachine Operator
Holding it up: embodiment . Weakest point: liability shield .
Tasks largely resist digitisation Trenching to depth beside a live gas main, feeling the machine load through the sticks, and re-planning the cut when you hit unexpected rock or groundwater are decisions made from seat-of-the-pants feedback that no text model generates and only fenced autonomous haul fleets have replicated — the 17 rather than 20 reflects that GPS grade control and semi-autonomous dozer packages have genuinely taken over final trim and repetitive mass excavation.
Hands-on in uncontrolled environments You are in the cab in mud, dust, cold and heat, dismounting to grease pins, check tracks and walk the cut, working within feet of ground crews, overhead lines and unshored trenches — an entirely uncontrolled environment with no screen-only fraction of the job to shave the score below 20.
Certification preferred, not legally required A CDL for hauling the machine, an NCCCO card if you swing a crane, an OSHA 10/30 and an employer competent-person sign-off are the whole credential stack — no state-issued licence attaches personal liability to your name, so the general contractor's insurer and the site super absorb an incident, which is why this lands at 6 rather than 2.
Meaningful discretion You decide whether that trench wall will stand, whether the load is within chart on soft ground, and when to shut down for wind or rain — real life-safety calls made in seconds — capped at 13 because excavation, shoring and lift plans, utility locates and pick charts are set by engineers and competent persons above you, and you execute inside them.
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 (6/20) 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 27 of this occupation's 64 points (42%).
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.
No occupation passed every test: close enough to operating engineers and other construction equipment operators on skills and subject matter, at least 10 points more resistant, no big jump in training, no new licence, no pay cut, and not shrinking on its own. That happens for 223 of the 654 occupations here that aren't SAFE, and it is worth stating plainly rather than leaving the section off.
The usual reason is that exposure travels with the skill profile. The jobs most similar to yours tend to be exposed for the same reasons yours is, so the near neighbours don't clear the gap — and the ones that do are a different kind of work, not a transfer of what you already know. Read that as a limit of this method, not a verdict that you're stuck: it only compares whole occupations, and it cannot see specialisation, industry, or anything you'd bring that isn't in a federal skill survey.
Here is that claim on your own job rather than in the abstract. These are the three occupations closest to this one by skill and subject matter — the places the work would most naturally transfer — with what the register scores them:
That is the whole problem in three lines. The nearest work is not meaningfully safer, so there is no move here that trades a similar skill set for a better verdict. This is not us running out of ideas — it is what the neighbourhood looks like.
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 77/100 — SAFE.
Task-mix shift as GPS machine control absorbs open-field grading: the residual work concentrates in utility-congested urban excavation, demolition, tie-ins to live infrastructure, slope and rock work, and confined-site operation where base maps are wrong and the operator reads spoil and machine feedback. This is a genuine two-tier occupation and the routine tier is the one already going.
Extension of the crane-style licensing model (OSHA 1926.1427 / NCCCO certification, with named operator liability) to autonomous or remotely supervised earthmoving: a state or OSHA rule requiring a certified operator-in-charge physically present and personally accountable per autonomous machine, as Nevada/California have done for driverless trucking bills. Also: state one-call/811 damage-prevention statutes being amended to name a certified excavation operator (not just the contractor) as the responsible party for strikes near gas transmission lines — several PHMSA-funded state programs already push individual operator qualification.
OSHA's 'competent person' duty for trench protective systems (1926.651/652) being formally assigned to the equipment operator on small crews rather than a separate foreman, with documented daily soil-classification and sloping decisions signed by that person. Insurers already push written trench plans after fatality claims; making the operator the signer is a small step.
Project labor agreements and IUOE local contracts adding explicit staffing-ratio clauses for automated/semi-autonomous equipment — one certified operator per machine regardless of autonomy level — mirroring the ILA's automation ban language in the 2025 master contract. Public-owner PLAs on federally funded infrastructure are where this would appear first.
The limit. Embodiment is already maxed and cannot rise. The buyer-side trust premium is weak on its own — general contractors buy hours and grade tolerance, not a named human — so any gain there is contractual (union/PLA) rather than a real customer preference, and it holds only as long as the bargaining power does.
| Houston-Pasadena-The Woodlands, TX | 14,000 | $51,040 -15% |
| Dallas-Fort Worth-Arlington, TX | 11,510 | $51,370 -14% |
| New York-Newark-Jersey City, NY-NJ | 11,430 | $95,050 +59% |
| Los Angeles-Long Beach-Anaheim, CA | 8,780 | $92,890 +55% |
| Atlanta-Sandy Springs-Roswell, GA | 8,360 | $49,430 -17% |
| Phoenix-Mesa-Chandler, AZ | 7,980 | $62,540 +4% |
| Chicago-Naperville-Elgin, IL-IN | 7,930 | $103,100 +72% |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 6,450 | $61,660 +3% |
| Kahului-Wailuku, HI | 400 | $124,990 +109% |
| San Francisco-Oakland-Fremont, CA | 4,080 | $124,750 +108% |
| San Jose-Sunnyvale-Santa Clara, CA | 1,360 | $124,340 +108% |
The Straits Times reports that construction firms in Singapore are adopting robots in response to a labour shortage in the sector.
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.