Will AI replace Gas Compressor and Gas Pumping Station Operators?
Most of the work in Gas Compressor and Gas Pumping Station Operators still leans on things AI struggles with — research rates its theoretical AI reach at only ~27%, and real-world use lower still.
O*NET-SOC 53-7071
How your 13 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a relatively low share of this job's tasks (~27%). By late 2025, real-world AI use had reached about 0% of its task activity (still rare). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~27%), real-world use (~0%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 13 tasks, ratedBased on real task-level AI scores — click to collapse
- Record instrument readings and operational changes in operating logs.
- Submit daily reports on facility operations.
- Read gas meters, and maintain records of the amounts of gas received and dispensed from holders.
- Take samples of gases and conduct chemical tests to determine gas quality and sulfur or moisture content, or send samples to laboratories for analysis.
- Monitor meters and pressure gauges to determine consumption rate variations, temperatures, and pressures.
- Respond to problems by adjusting control room equipment or instructing other personnel to adjust equipment at problem locations or in other control areas.
- Adjust valves and equipment to obtain specified performance.
- Move controls and turn valves to start compressor engines, pumps, and auxiliary equipment.
- Operate power-driven pumps that transfer liquids, semi-liquids, gases, or powdered materials.
- Turn knobs or switches to regulate pressures.
- Clean, lubricate, and adjust equipment, and replace filters and gaskets, using hand tools.
- Maintain each station by performing general housekeeping duties such as painting, washing, and cleaning.
- Connect pipelines between pumps and containers that are being filled or emptied.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.