Community Sentiment
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AI Automation Index
Will AI Replace Gas Compressor and Gas Pumping Station Operators?
Analyze the automation vulnerability, task-level AI risk, salary, and demand projection for Gas Compressor and Gas Pumping Station Operators. Run the upskilling simulator.
AI Vulnerability
50%
risk score
Median Salary
$77,320 / year
Growth Demand
Low
Constituent Task Mix
We parsed O*NET's 13 constituent tasks for this occupation and classified them by AI threat risk.
High Automation Risk (Routine Tasks) 15%
Medium Automation Risk (Cognitive/Technical) 69%
Low Automation Risk (Strategy/Leadership) 16%
How would you survive?
Automate your routine tasks and design your day around strategic advisory to future-proof this score.
Simulate Upskilling →constituent Tasks
Monitor meters and pressure gauges to determine consumption rate variations, temperatures, and pressures.
Semi-structured cognitive task involving analysis, inspection, or monitoring.
Respond to problems by adjusting control room equipment or instructing other personnel to adjust equipment at problem locations or in other control areas.
Semi-structured task combining routine and non-routine responsibilities.
Record instrument readings and operational changes in operating logs.
Routine cognitive or manual task with high vulnerability to automation.
Adjust valves and equipment to obtain specified performance.
Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.
Move controls and turn valves to start compressor engines, pumps, and auxiliary equipment.
Semi-structured task combining routine and non-routine responsibilities.
Operate power-driven pumps that transfer liquids, semi-liquids, gases, or powdered materials.
Semi-structured task combining routine and non-routine responsibilities.
Submit daily reports on facility operations.
Semi-structured task combining routine and non-routine responsibilities.
Take samples of gases and conduct chemical tests to determine gas quality and sulfur or moisture content, or send samples to laboratories for analysis.
Semi-structured task combining routine and non-routine responsibilities.
Read gas meters, and maintain records of the amounts of gas received and dispensed from holders.
Routine cognitive or manual task with high vulnerability to automation.
Turn knobs or switches to regulate pressures.
Semi-structured task combining routine and non-routine responsibilities.
Clean, lubricate, and adjust equipment, and replace filters and gaskets, using hand tools.
Semi-structured task combining routine and non-routine responsibilities.
Maintain each station by performing general housekeeping duties such as painting, washing, and cleaning.
Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.
Connect pipelines between pumps and containers that are being filled or emptied.
Semi-structured task combining routine and non-routine responsibilities.
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<script src="https://giniloh.com/embed.js" async></script> O*NET Methodology
O*NET Data Source
This page dynamically extracts data structures sponsored by the U.S. Department of Labor. Our AI classification applies cognitive task automation risk models to individual tasks.
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