EXPOSED
The hands-on half of this job — driving lease roads, gauging tanks, changing pump packing, clearing paraffin, adjusting chokes and rod pumps, responding to a down well at 2am — is nowhere near automatable. The threat isn't AI replacing the pumper; it's SCADA, remote automation and AI-assisted production surveillance shrinking the number of pumpers needed per route, since the daily gauge sheets, run tickets, production reports and anomaly-spotting are exactly what sensors plus software now do. Expect fewer, more technical pumpers covering far bigger routes rather than the role disappearing.
Dipped in 2020, then grew past where it started.
Median pay $55,040 → $69,960 +1.7% 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
-4.7% 18,800 → 17,900 on the projections basis
Exposed, and shrinking
Both signals point the same way: the tasks are largely automatable and the BLS projects -4.7% by 2034. This is the case where the score and the forecast agree, and it is the one worth taking seriously.
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.
~2,000 openings a year on average, including replacing people who leave.
PumperOil PumperWell TenderField OperatorLease OperatorGas Well PumperLease AttendantOil Well PumperWellhead PumperGas Lease PumperOil Field PumperOil Field WorkerWell Head PumperOil Field OperatorOil Field TechnicianWell Field TechnicianOilfield Plant OperatorOil Field Plant OperatorOil Well Service Operator
Holding it up: embodiment . Weakest point: liability shield .
Mixed — a routine tier and a judgment tier At 12 rather than 16, roughly half a pumper's shift — the tank gauging, chart changing, run-ticket writing, daily production entry and spotting a well that's off its curve — is already being handled by level sensors, coriolis meters and SCADA alarms on newer pads, while the wrench work (pulling and repacking a stuffing box, hot-oiling a paraffined tubing string, resetting a pumping unit's counterbalance) still needs a person on the lease.
Hands-on in uncontrolled environments A 17 reflects that the work is performed outdoors on unimproved lease roads in whatever the weather does, climbing tank stairs to gauge with a steel tape, opening separators and treaters, working around H2S, live electrical on unit motors and pressurized flowlines — none of it in a controlled or repeatable setting, which is what keeps it out of the 13-14 range and short of 19 only because the pumper also spends real time in a truck cab and on a tablet.
No licence, no signature requirement A 3 is right because no state licences a wellhead pumper — you may hold H2S awareness, SafeLandUSA or a CDL for hauling, but the operator's engineering staff and the well's designated person of record carry the regulatory obligation to the state commission, and a bad gauge or a missed leak becomes the company's violation, not yours.
Meaningful discretion An 8 fits calls that are real but bounded: deciding whether a knocking gearbox runs until morning or gets shut in now, whether a fluid-level shot means the well is pumped off or the pump is worn, when to call out a pulling unit — genuine discretion, but escalated to a foreman or engineer before anything expensive happens, which keeps it out of the mid-teens.
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 (12/20 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 (4/20) is whether buyers specifically pay for a person. Judgment and accountability (8/20) 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 15 of this occupation's 44 points (34%).
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 57/100, still EXPOSED.
Task-mix shift is genuine here: once SCADA and AI surveillance absorb gauge sheets, run tickets and anomaly flagging, what remains on the route is rod-pump failure diagnosis, paraffin/scale intervention, chemical program tuning, choke and plunger-lift optimization, and freeze-offs — the judgment tier. A route where the pumper is dispatched by exception rather than driving a fixed circuit raises the non-automatable share of the day even as headcount falls.
Route consolidation itself concentrates decision weight: a pumper covering 200 wells by exception is making triage and shut-in calls with incomplete telemetry and real spill/blowout consequences, where a 40-well fixed-circuit pumper was following a checklist.
Custody-transfer measurement accountability: if BLM Onshore Order 4/5 successors or state conservation rules (e.g. Texas RRC, NM OCD) require a named, trained gauger to attest to run tickets and LACT proving records — with personal signature on allocation and royalty-relevant volumes rather than an automated report — the signing role attaches to a person.
If operators formalize the pumper as the designated on-site person with authority to shut in a well, vent, or stop production under an SEMS/PSM-style management system — with that authority written into the safety case and audited — the role owns consequential calls under ambiguity rather than executing dispatch instructions.
EPA OOOOb/OOOOc and state methane rules (Colorado ECMC, New Mexico) already mandate periodic on-site AVO and leak inspections with recordkeeping certified by a trained individual; if the certifying-inspector requirement is tightened to a licensed or board-registered individual whose attestation carries enforcement exposure, this rises further.
The limit. No realistic route to a trust premium — the buyer is an operator optimizing lease operating expense per barrel, and no one pays extra for a human pumper. Embodiment is already near ceiling and cannot rise. The dominant force remains headcount compression per route; higher per-worker scores coexist with fewer workers.
| Houston-Pasadena-The Woodlands, TX | 3,860 | $79,720 +14% |
| Midland, TX | 1,660 | $72,110 +3% |
| Dallas-Fort Worth-Arlington, TX | 830 | $78,010 +12% |
| Pittsburgh, PA | 350 | $39,060 -44% |
| Odessa, TX | 330 | $75,450 +8% |
| Oklahoma City, OK | 230 | $64,960 -7% |
| Tulsa, OK | 220 | $64,500 -8% |
| Lubbock, TX | 200 | $76,850 +10% |
| Houston-Pasadena-The Woodlands, TX | 3,860 | $79,720 +14% |
| Dallas-Fort Worth-Arlington, TX | 830 | $78,010 +12% |
| Minot, ND | 130 | $77,310 +11% |
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 44. 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.