← Risk register SOC 53-7021 · reviewed 2026-08-11

Crane and Tower Operators

42,890 US workers · median $68,080/yr · Transportation

SAFE

The core of this job — reading load charts against actual ground conditions, judging wind and swing, coordinating with a rigger and signal person on a changing job site, and lifting a multi-ton load over people and live structures — is embodied judgment that language AI cannot touch and current robotics cannot reliably replicate outside fixed paths. The real automation pressure is narrow but genuine: automated stacking and gantry cranes have already displaced operators at container terminals and some steel mills, where the travel path is repeatable and the environment is fenced. OSHA-mandated operator certification (NCCCO or equivalent) plus personal exposure when a lift goes wrong keeps a licensed human in the seat on construction and mobile work.

10-year outlook: Container ports and enclosed industrial sites keep shedding operator seats to automated cranes, while construction and mobile crane work stays firmly human through 2035 — the job doesn't shrink much, it migrates toward job sites.

US employment, 2019–2025-5.7%
45,48042,890 workers

This fall is concentrated in 2020 and has not recovered since.

Median pay $56,690 → $68,080 -3.9% in real terms (nominal +20.1%, less ~25% US inflation over the period)

The job count is not the verdict

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% 42,300 → 43,500 on the projections basis

Hard to automate, and growing

The work resists current AI and the BLS projects +3% 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.

~3,800 openings a year on average, including replacing people who leave.

One email if this score changes. Watch as many occupations as you like from the same address — no account, and nothing is sent on a schedule, only when a verdict actually moves.

Also known as — 24 job titles this covers

Titles reported by people doing this work, from the US Department of Labor's O*NET survey. If your job title is here, this page is about your work even though the name doesn't match.

StripperWinchmanDerrickmanMold ShakerMold WasherCrane DriverMold ShifterDross SkimmerCrane OperatorIngot StripperPicker OperatorCathead OperatorDerrick OperatorMachine OperatorTower TechnicianWhirley OperatorBoom Cat OperatorMonorail OperatorBoomswing OperatorClamshell OperatorCrane Ladle PersonEquipment OperatorPit Crane OperatorAcid Crane Operator

Score — 67/100 resistance

Holding it up: embodiment (18/20). Weakest point: trust premium (7/20).

Five dimensions, 0–20 each, summed. Higher means more protected. The arithmetic is shown so you can check it: 16 + 18 + 12 + 7 + 14 = 67. · Scored 2026-08-11, and re-examined when evidence accumulates rather than on a schedule.

Task resistance 16/20

Tasks largely resist digitisation Setting outriggers on unknown soil, re-checking a load chart when the boom angle changes mid-lift, and taking hand signals from a rigger you cannot see are tasks that stay at 16 rather than 20 only because container gantries and automated stacking cranes have already proven that a fixed rail and a fenced yard can run without a cab operator.

Embodiment 18/20

Hands-on in uncontrolled environments An 18 reflects that you climb a tower ladder in the weather, feel the swing through the sticks, watch for power lines and pedestrians below, and work from a seat that moves with the machine — none of which happens on a screen; it is not 20 because the actual control input is levers and pedals, which is the one part a machine can copy.

Liability shield 12/20

Licensed human required and personally liable OSHA 1926.1427 requires certification by an accredited body (NCCCO or equivalent) plus employer evaluation for the specific equipment and configuration, and after a dropped load your card and your name are in the citation — the 12 rather than 16 reflects that this is a federal certification tied to crane type and capacity, not a state professional licence with an independent board that can strip your livelihood.

Trust premium 7/20

Some relationship component A 7 covers the fact that superintendents and riggers ask for the operator they have worked with before because trust in the cab shortens every lift, but the contract is with the crane company and a qualified replacement can be sent tomorrow.

Judgment & accountability 14/20

Exists to be accountable for ambiguous calls The call to stop a lift on wind, refuse a configuration the chart will not support, or override a signal person you think is wrong is yours alone and unreviewable in the moment, which puts it at 14; it stops short of higher because lift plans, capacity charts, and manufacturer limits define the envelope before you ever pick up the load.

Scored twice. An independent second run returned 67/100 — SAFE, agreeing with the verdict above.

This score sits on a verdict boundary. At 67/100 it is one point from EXPOSED. Re-scoring moves results by a point or two, so here the score is more informative than the label.

Confidence: high · reviewed 2026-08-11 · how scoring works

What this job involves — and which parts are yours

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.

AI already does these at usable quality

These still need a person

Active moats on the surviving side: embodiment, licensure, liability

How to future-proof this job

Where to go deeper on what this job runs on: OSHA Outreach Training — the 10- and 30-hour cards most employers ask for low · edX — operations management and process monitoring courses free to audit · Coursera — critical thinking and logic, audit free free to audit · Coursera — active listening and communication skills free to audit · edX — performance measurement and evaluation free to audit · Khan Academy — reading and vocabulary, all levels, free free

All 35 skills ranked by how many jobs they open →

What would move this back up — beyond any one person

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 76/100, still SAFE.

3 specific changes that would raise this score
  • already happening judgment accountability +3

    Formal expansion of the 'critical lift' regime — multi-crane picks, lifts over occupied structures, personnel platform lifts — where a named certified operator signs off on load chart derates, ground bearing pressure, and wind hold decisions alongside the lift director. ASME B30.5 revisions and owner-side (refinery, utility, nuclear) contractor prequalification already push this documentation; more of it makes the operator the accountable decision-holder rather than a control-mover.

  • already happening task resistance +2

    If automated stacking cranes continue absorbing the repeatable, fenced, fixed-path work at container terminals and mills, the residual occupation is disproportionately mobile/crawler/tower work on non-repeating sites — blind picks, tandem lifts, wind-limit judgment, rigger coordination. Task-mix shift raises the average judgment content of what remains even as headcount falls. Watch terminal automation announcements (e.g. Long Beach, Virginia) against BLS mobile-crane employment separately.

  • plausible liability shield +4

    OSHA's crane rule (29 CFR 1926.1427) already requires a certified operator by crane type/capacity; a revision — or a state adoption like California Cal/OSHA's separate crane certificate — that explicitly bars remote or semi-autonomous operation on construction sites without a certified operator physically at the controls, and names that operator as the responsible party on the lift plan, would harden the seat. Similarly, a crane insurer (e.g. NBIS, the dominant crane/rigging underwriter) writing policy language voiding coverage for lifts executed under automated path control without a certified operator signing the critical-lift plan.

The limit. Trust premium has no realistic route: the buyer is a GC or terminal operator purchasing tonnage moved safely, not a named human, and no client pays extra to know a person was in the cab. Note also that task_resistance/embodiment gains here come with shrinking headcount — the job gets harder to automate while there are fewer of them.

These are conditions, not forecasts — what would have to happen, not what will. Specific rules, cases and bills are named so you can go and check whether they exist and where they stand; verify before relying on any of them. Nothing here is legal or financial advice.

Where this work is, and what it pays there

BLS metro figures for 160 areas. The verdict above does not change by city — the rubric judges what the work involves, not where it happens — but pay and headcount do, and the national median hides a very wide range.

Most of these jobs

Houston-Pasadena-The Woodlands, TX 2,100 $75,500 +11%
Chicago-Naperville-Elgin, IL-IN 1,880 $55,890 -18%
New York-Newark-Jersey City, NY-NJ 1,500 $100,640 +48%
Dallas-Fort Worth-Arlington, TX 1,310 $68,640 +1%
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD 790 $72,010 +6%
Atlanta-Sandy Springs-Roswell, GA 660 $62,910 -8%
Detroit-Warren-Dearborn, MI 650 $59,740 -12%
Phoenix-Mesa-Chandler, AZ 630 $72,580 +7%

Best paid

Worcester, MA 110 $122,260 +80%
Urban Honolulu, HI 170 $120,560 +77%
Kennewick-Richland, WA 40 $120,310 +77%

Percentages are against this occupation's national median of $68,080. Counts are jobs in that metro, not vacancies. Metros where the BLS suppressed the cell are absent rather than shown as zero.

Who is actually doing this

The score above is about what the work exposes. This is reporting about real deployments in this occupation — the difference between "could be automated" and "somebody automated it."

North Sea Terminal Bremerhaven · Husky Terminal, Port of Tacoma

2 of 2 reported cases, with sources

Quick take — do you do this job?

Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.

Self-reported and unverified — a sentiment signal, not a survey. One response per person per occupation; you can change your answer.

Field reports — what people say has changed

No field reports yet. A written account takes a paragraph rather than a tap, goes to an editor before it appears, and is the one thing on this page the rubric cannot produce on its own.

File a field report

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