EXPOSED
Steady-state operation is already the most automated part of this job — DCS loops, advanced process control, and automated tank gauging have been eating the monitoring, logging, and setpoint-tweaking tasks for two decades, and AI-assisted optimization will thin control-room headcount further. What holds is the field half: walking units, lining up valves, pulling samples, catching a leaking seal or a bad reading by smell and sound, and running startups, shutdowns, and upset response where the consequences of a wrong call are fire and injury. No occupational license protects the role, but OSHA Process Safety Management operator-qualification requirements and refinery insurers keep a trained human on the board and in the field.
This fall is concentrated in 2020 and has not recovered since.
Median pay $74,180 → $96,710 +4.3% 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
-2.8% 34,900 → 34,000 on the projections basis
Shrinking, but not obviously because of AI
The BLS projects -2.8% by 2034, but at 51/100 this work is only moderately exposed — not the profile of a job current AI can simply do. Occupations shrink for many reasons, and the score does not point at automation as this one's cause.
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.
~3,200 openings a year on average, including replacing people who leave.
GaugerPumperRefinerOperatorStillmanOil GaugerOil PumperOil RefinerField GaugerDock OperatorUnit OperatorBoard OperatorPanel OperatorPlant OperatorTerminal GaugerControl OperatorOutside OperatorProcess OperatorHydrovac OperatorRefinery OperatorCrude Unit OperatorPressure ControllerPilot Plant OperatorTank Terminal Gauger
Holding it up: embodiment . Weakest point: trust premium .
Mixed — a routine tier and a judgment tier APC and automated tank gauging already run the steady-state loops and log the readings you used to write on a round sheet, but the field side — swinging valves to line up a product run, pulling a sample for the lab, blinding a line for turnaround, and hearing a pump start to cavitate before the DCS alarms — is why this sits at 12 rather than down with pure board work.
Hands-on in uncontrolled environments You spend shifts climbing tank stairways and unit structures in the weather, gauging and thieving tanks by hand, connecting hoses and manifolds, wearing FRC and an H2S monitor in areas that can go IDLH, which is uncontrolled-environment work; it lands at 15 rather than 18 because a meaningful share of the rotation is sitting at the console.
Certification preferred, not legally required There is no state license to operate a crude unit — but 29 CFR 1910.119(g) makes the employer document and periodically re-verify your training on the specific process, and Subpart B tanker/barge transfers require a designated person-in-charge, so you carry qualification paperwork without carrying personal liability, which is a 6 not an 11.
Exists to be accountable for ambiguous calls On an upset you decide whether to ride it out, cut feed, or hit the depressuring valve, and during startup you make sequencing and level calls the DCS will not make for you; Texas City and Chevron Richmond turned on exactly these judgments, which is what puts this at 14 despite written procedures for most of the shift.
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 (6/20) 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 (14/20) 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 24 of this occupation's 51 points (47%).
Embodiment (15/20) 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.
Ship Engineers SAFE
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 68/100 — SAFE.
Genuine two-tier occupation: as APC and AI optimization absorb steady-state setpoint management and logging, the residual job concentrates in upset response, turnaround startups, permit-to-work and lockout/tagout field verification, and abnormal-situation diagnosis — the tier where no model has authority or sensory access. Watch for job postings shifting titles toward 'operations technician / turnaround specialist' and for contractual staffing floors in USW National Oil Bargaining agreements (the 2022 pattern already ties fatigue and staffing language to safety).
OSHA's long-pending PSM standard update (RIN 1218-AC82, on the reg agenda since the 2013 Executive Order 13650 review) adding an explicit named-operator qualification and sign-off requirement for startup, shutdown, and safe-operating-limit deviation authorizations — plus a rule that autonomous/AI advisory control actions on covered processes require a qualified operator's documented concurrence. California's PSM for Petroleum Refineries (Cal/OSHA 8 CCR 5189.1) already requires documented management-of-change and hierarchy-of-hazard-control analysis with operator participation; extending that to AI-generated control changes would make the human signature legally load-bearing.
Insurer or API-standard requirement (e.g. a revision to API RP 754/1173 on process safety and operating discipline) that unmanned or remotely supervised board operation is uninsurable — carriers like Chubb/AIG energy books already price minimum manned-console staffing after Texas City and Philadelphia PES; an explicit written condition naming operator presence would harden this.
A CSB investigation report or consent decree that formally assigns the emergency-shutdown decision to a named board operator with defined non-overridable authority (similar to the 'stop work authority' language in post-Deepwater Horizon offshore SEMS rules, 30 CFR 250 Subpart S) would convert de facto responsibility into codified ownership.
Not a lever so much as a floor: valve lineups, sample pulling, seal and flange inspection in classified (Div 1/Div 2) hazardous areas resist robotics because intrinsically-safe mobile platforms are rare; a formal recognition in NFPA 70/API guidance that autonomous ground robots cannot perform isolation verification would keep this task human. Conversely widescale ANYbotics/Boston Dynamics Spot deployment on refinery rounds (already piloted at bp, Chevron, Shell) erodes the inspection sliver but not the valve-manipulation sliver.
The limit. No plausible route to trust_premium: the buyer is a refinery owner buying throughput, not a customer choosing a human. Nobody pays extra for human-operated gasoline. Also note the counter-pressure — this is a shrinking headcount occupation regardless of the levers above; liability and judgment gains would protect the remaining jobs' defensibility, not their number.
| Houston-Pasadena-The Woodlands, TX | 5,510 | $84,100 -13% |
| Los Angeles-Long Beach-Anaheim, CA | 1,700 | $103,250 +7% |
| New Orleans-Metairie, LA | 1,560 | $107,490 +11% |
| Beaumont-Port Arthur, TX | 1,480 | $100,660 +4% |
| San Francisco-Oakland-Fremont, CA | 870 | $117,660 +22% |
| Corpus Christi, TX | 820 | $78,630 -19% |
| Baton Rouge, LA | 660 | $108,420 +12% |
| Chicago-Naperville-Elgin, IL-IN | 620 | $111,370 +15% |
| San Francisco-Oakland-Fremont, CA | 870 | $117,660 +22% |
| Chicago-Naperville-Elgin, IL-IN | 620 | $111,370 +15% |
| Salt Lake City-Murray, UT | 120 | $109,390 +13% |
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 51. 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.