AI Stole My Job

Will AI replace Gas Plant Operators?

Estimated risk score: 27 out of 100

Lower replacement risk

Estimate from published task research, not reviewed by a person · how we estimate

Within about 19 points for 4 in 5 of the jobs we checked (8 to 46).

For the occupation as a whole, from ratings of its 19 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.

O*NET-SOC 51-8092.00 · Production

Tasks rated in 2023 as ones AI could do or speed up

Tasks a GPT-4-class model could do, or do in half the time or less: 3 of its 19 rated tasks. In O*NET’s words.

  1. Read logsheets to determine product demand and disposition, or to detect malfunctions.
  2. Record, review, and compile operations records, test results, and gauge readings such as temperatures, pressures, concentrations, and flows.
  3. Calculate gas ratios to detect deviations from specifications, using testing apparatus.

Tasks rated in 2023 as not sped up by AI

Tasks such a model was rated as not speeding up or taking over: 16 of its 19 rated tasks; the first 6 are shown. In O*NET’s words.

  1. Adjust temperature, pressure, vacuum, level, flow rate, or transfer of gas to maintain processes at required levels or to correct problems.
  2. Change charts in recording meters.
  3. Clean, maintain, and repair equipment, using hand tools, or request that repair and maintenance work be performed.
  4. Control operation of compressors, scrubbers, evaporators, and refrigeration equipment to liquefy, compress, or regasify natural gas.
  5. Determine causes of abnormal pressure variances, and make corrective recommendations, such as installation of pipes to relieve overloading.
  6. Start and shut down plant equipment.

What the job is

Distribute or process gas for utility companies and others by controlling compressors to maintain specified pressures on main pipelines.

Also called: Gas Controller, Gas Maker, Gas Treater, Gas Producer, LNG Operator, Gas Plant Tech, Gas Specialist, LNG Technician.

Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate