EXPOSED
Continuous monitoring of pressures, flows, and compressor loads is exactly what SCADA and advanced process control already do better than a human watching a board, and shift-log writing and trend analysis are trivially automatable. What survives is the physical half: walking the unit, lining up valves, hanging tags for lockout/tagout, isolating a leaking flange, and making the judgment call to trip or blow down a train during an upset before anyone can model it. Employers are consolidating control rooms and running more plants per operator, so headcount shrinks even where the field role stays.
Headcount grew steadily across the period.
Median pay $70,710 → $87,820 -0.6% 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
-8.8% 16,200 → 14,800 on the projections basis
Shrinking, but not obviously because of AI
The BLS projects -8.8% by 2034, but at 53/100 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.
~1,300 openings a year on average, including replacing people who leave.
OperatorGas MakerGas TreaterField GaugerGas OperatorGas ProducerFuel AttendantGas ControllerGas DispatcherGas SpecialistPlant OperatorLoad DispatcherTerminal GaugerPlant SpecialistGas Plant OperatorGas Systems WorkerWater Gas OperatorBulk Gas SpecialistGas System OperatorPressure ControllerPressure DispatcherEngine Room OperatorGas Plant DispatcherGas Plant Specialist
Holding it up: embodiment . Weakest point: trust premium .
Mixed — a routine tier and a judgment tier Board work — trending suction pressure, adjusting dehydrator regeneration cycles, logging odorant injection rates — is already sitting inside DCS loops and APC, but the field half (lining up a compressor for start, draining a knockout pot, changing amine filters, walking a hot bolt-up) is still hands and wrenches, which is why this lands mid-band at 11 rather than down with pure console jobs.
Hands-on in uncontrolled environments You are climbing to the top of a stabilizer tower in weather, entering H2S-monitored areas with a four-gas meter, torquing flanges on live hydrocarbon service, and pulling relief valves for bench testing — uncontrolled, hazardous, and irreducibly physical, which is why this is 16 and not lower; it stops short of 20 only because a real share of the shift is spent seated at the console.
Certification preferred, not legally required No state licence gates the job: OSHA 1910.119 PSM and the operating permit put liability on the facility and the PSM-covered process, not on your name, and what you carry personally is OSHA 10/30, H2S/SCBA, confined-space entry and LOTO authorization plus company operator qualification — real credentials that take months to earn, which is why 8 rather than 3, but nothing a regulator can pull from you individually.
Exists to be accountable for ambiguous calls When a train upsets at 0300 with the engineer 200 miles away, you decide whether to ride it out, hot-shutdown, or blow to flare, and you make that call on incomplete instrumentation with sour gas and public exposure on the line under the plant's emergency procedures; the 14 rather than 18 reflects that most shifts run inside written operating limits and SOPs where deviation is escalated, not chosen.
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 (11/20 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 (8/20) 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 26 of this occupation's 53 points (49%).
Embodiment (16/20) 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 65/100, still EXPOSED.
Task-mix shift is real here: as APC and remote consolidated control rooms absorb board-watching, trending, and log writing, what remains is abnormal-operations response, turnaround/startup sequencing, and field isolation — the judgment tier. Score rises mechanically as the routine tier leaves, without any new law.
PHMSA or a state PUC codifying a minimum qualified-operator staffing rule for gas processing/compressor stations — analogous to PHMSA's Operator Qualification rule (49 CFR 192 Subpart N) being extended to require a named, qualified human to authorize remote-initiated blowdowns, ESD resets, and startups after upset. Also OSHA PSM (1910.119) enforcement interpretations that hold a specific operator-in-charge accountable for hot work permits and LOTO signoffs that AI cannot execute.
A high-consequence incident (e.g., an Aliso Canyon- or Freeport LNG-class event) traced to remote/automated control leading to CSB recommendations and insurer requirements for a designated on-site operator with trip authority not overridable by the algorithm.
Growth of hydrogen blending, CO2 capture, and LNG/RNG interconnects adds nonstandard field equipment, sampling, and cryogenic handling in configurations that vary plant to plant, raising the share of work requiring an on-site human with hands on valves and analyzers.
The limit. Trust premium has no plausible route — gas is a fungible commodity and no buyer pays extra for human-operated molecules. Headcount consolidation (more plants per operator) shrinks the occupation even if per-worker scores rise.
| Houston-Pasadena-The Woodlands, TX | 1,510 | $85,530 -3% |
| Pittsburgh, PA | 440 | $81,600 -7% |
| Denver-Aurora-Centennial, CO | 360 | $98,640 +12% |
| Chicago-Naperville-Elgin, IL-IN | 340 | $102,810 +17% |
| Detroit-Warren-Dearborn, MI | 290 | $108,650 +24% |
| Minneapolis-St. Paul-Bloomington, MN-WI | 290 | $100,500 +14% |
| New York-Newark-Jersey City, NY-NJ | 270 | $118,870 +35% |
| Tulsa, OK | 270 | $78,550 -11% |
| Los Angeles-Long Beach-Anaheim, CA | 210 | $125,550 +43% |
| Riverside-San Bernardino-Ontario, CA | 90 | $124,480 +42% |
| New York-Newark-Jersey City, NY-NJ | 270 | $118,870 +35% |
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 53. 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.