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Gas Plant Operators

Occupation · SOC 51-8092.00

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

Also called: Gas Controller · Gas Dispatcher · Gas Plant Operator · Plant Operator · Compressor Technician (Compressor Tech) · Engine Room Operator · Gas Resource Control Operator · Gas System Operator · Liquefied Natural Gas Technician (LNG Technician) · Liquid Natural Gas Plant Operator (LNG Plant Operator) · Bulk Gas Specialist · Field Gauger

Job family: Production Occupations

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A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-51-8092-00/context.md directly.

AI work map

A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.

28th-percentile task overlap — yet about 1,300 openings a year (-8.8% projected, BLS) . What exposure means →

AI & job outlook

What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.

Exposure to current AI

Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.

Measure Rank vs all occupations Percentile Score
Overall AI exposure (Felten et al.) Moderate 40th -0.3
LLM task exposure, γ (OpenAI / Eloundou) Low 17th 0.1
AI assistant applicability (Microsoft) Low 31st 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.1), and including AI-powered software (γ 0.1). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.

Historical automation estimate (2013)

A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.

Frey–Osborne probability 0.8 · 63rd percentile among occupations · Moderate

How AI is actually used in this job

Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.

Test gas, chemicals, and air during processing to assess factors such as purity and moisture content, and to detect quality problems or gas or chemical leaks. 0.4%
Record, review, and compile operations records, test results, and gauge readings such as temperatures, pressures, concentrations, and flows. 0.2%

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook Declining · -8.8% by 2034
Projected annual openings 1,300
Employment 2024 → 2034 16,200 → 14,800

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Where this work sits on the global GenAI gradient

The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.

29% mean task exposure (2025)
55th percentile of 427 placed occupations
−1 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Petroleum and Natural Gas Refining Plant Operators · 3134 29% Not exposed

Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.

Tasks

All 19 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Transferable skills

Operations Monitoring 4.1
Operation and Control 3.8
Quality Control Analysis 3.3
Judgment and Decision Making 3.3
Coordination 3.0
Complex Problem Solving 3.0
Troubleshooting 3.0
Time Management 3.0

Knowledge

Public Safety and Security 3.9
Mechanical 3.8
English Language 3.6
Computers and Electronics 3.4
Mathematics 3.2
Engineering and Technology 3.1
Production and Processing 3.1
Customer and Personal Service 3.0
Administrative 3.0

Abilities

Perceptual Speed 3.9
Near Vision 3.8
Problem Sensitivity 3.6
Auditory Attention 3.5
Selective Attention 3.4
Oral Comprehension 3.3
Deductive Reasoning 3.3
Flexibility of Closure 3.3
Far Vision 3.3
Written Comprehension 3.1
Written Expression 3.1
Information Ordering 3.1
Reaction Time 3.1
Oral Expression 3.0
Inductive Reasoning 3.0
Category Flexibility 3.0
Visualization 3.0

Essential skills

Monitoring 3.6
Critical Thinking 3.5
Reading Comprehension 3.1
Active Listening 3.0
Writing 3.0
Speaking 3.0

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Tools & technology

Example Category
Google Android Operating system software Hot technology In demand
Microsoft Excel Spreadsheet software Hot technology In demand
Microsoft Office software Office suite software Hot technology In demand
Microsoft Outlook Electronic mail software Hot technology In demand
Microsoft PowerPoint Presentation software Hot technology
Microsoft Word Word processing software Hot technology
SAP software Enterprise resource planning ERP software Hot technology
AspenTech HYSYS Analytical or scientific software
Operating log software Data base user interface and query software
Quorum PGAS Data base user interface and query software
Supervisory control and data acquisition SCADA software Industrial control software
Work scheduling software Calendar and scheduling software

Work context

How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.

Telephone Conversations 4.9
E-Mail 4.6
Importance of Being Exact or Accurate 4.5
Face-to-Face Discussions with Individuals and Within Teams 4.5
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 4.4
Work With or Contribute to a Work Group or Team 4.4
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 4.4
Outdoors, Exposed to All Weather Conditions 4.3
Consequence of Error 4.3
Impact of Decisions on Co-workers or Company Results 4.3
Health and Safety of Other Workers 4.3
Contact With Others 4.2
Freedom to Make Decisions 4.2
Determine Tasks, Priorities and Goals 4.1
Frequency of Decision Making 4.1
Exposed to Hazardous Conditions 4.1
Exposed to Contaminants 4.0
Importance of Repeating Same Tasks 3.9
Work Outcomes and Results of Other Workers 3.8
Coordinate or Lead Others in Accomplishing Work Activities 3.7
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 3.7
Indoors, Environmentally Controlled 3.7
In an Enclosed Vehicle or Operate Enclosed Equipment 3.7
Exposed to Very Hot or Cold Temperatures 3.6
Time Pressure 3.6
Indoors, Not Environmentally Controlled 3.4
Outdoors, Under Cover 3.3
Exposed to Hazardous Equipment 3.3
Degree of Automation 3.2
Physical Proximity 3.2
Pace Determined by Speed of Equipment 3.1
Spend Time Standing 3.0
Spend Time Walking or Running 2.9
Spend Time Sitting 2.9
In an Open Vehicle or Operating Equipment 2.8
Deal With External Customers or the Public in General 2.8
Spend Time Making Repetitive Motions 2.8
Conflict Situations 2.8
Written Letters and Memos 2.7
Exposed to Extremely Bright or Inadequate Lighting Conditions 2.7

How to get in

Job zone
Zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed
Education
Usually requires a high school diploma or GED, though some occupations may not.
Typical entry-level education
High school diploma or equivalent · BLS, the typical path — not a requirement
Related experience
Some occupations may need little or no previous experience; others require several months to a year of experience. For example, landscaping and groundskeeping workers might require very little training or previous experience, while agricultural equipment operators can benefit from on-the job training.
Preparation level
SVP (Below 6.0) — total schooling plus on-the-job experience.

What to study: Engineering/Engineering-Related Technologies/Technicians . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.

Education of current workers

Share of people in this occupation at each level of education.

High School Diploma 58.4%
Post-Secondary Certificate 31.1%
Associate's Degree (or other 2-year degree) 10.5%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Career interests (Holland / RIASEC)

Realistic 6.7
Conventional 5.2
Investigative 2.6
Enterprising 2.3

Work styles

Dependability 5.0
Attention to Detail 4.0
Integrity 3.0
Cautiousness 2.7
Self-Control 2.0
Stress Tolerance 2.0

Interest areas

Mechanics/Electronics 4.7
Engineering 3.6
Transportation/Machine Operation 2.3
Physical/Manual Labor 2.3
Mathematics/Statistics 2.1
Physical Science 1.9

Wages & employment

U.S. · annual wages (BLS OEWS)

$59k10th$73k25th$83kMedian$100k75th$109k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
16k202415k2034 (proj.)-8.8% · Declining
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $59,040
25th percentile $73,150
Median (50th) $83,400
75th percentile $100,000
90th percentile $109,350
People employed 15,910

Industries that employ this occupation

Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.

Industry Workers National median pay
Utilities · Sector 6,680 $84,980
Transportation and Warehousing · Sector 4,930 $82,680
Mining, Quarrying, and Oil and Gas Extraction · Sector 1,400 $82,110
Manufacturing · Sector 1,040 $105,030
Management of Companies and Enterprises · Sector 400 $89,410
Fossil Fuel Electric Power Generation · National industry 280 $95,640
Administrative and Support and Waste Management and Remediation Services · Sector 180 $60,420
Wholesale Trade · Sector 120 $54,670

Where this work is most concentrated

Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).

Industry Concentration Workers
Utilities · Sector 111.72× 6,680
Fossil Fuel Electric Power Generation · National industry 38.06× 280
Mining, Quarrying, and Oil and Gas Extraction · Sector 23.66× 1,400
Transportation and Warehousing · Sector 6.46× 4,930
Management of Companies and Enterprises · Sector 1.38× 400
Manufacturing · Sector 0.79× 1,040
Wholesale Trade · Sector 0.19× 120
Administrative and Support and Waste Management and Remediation Services · Sector 0.19× 180

Part of the Energy & Natural Resources career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Gas Plant Operators sits at the 28th percentile of AI task-overlap and the 73rd percentile of median pay, placed here against 12 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Gas Plant Operators Wellhead Pumpers Water and Wastewater Treatment Plant and System Operators Hydroelectric Plant Technicians Stationary Engineers and Boiler Operators Geothermal Technicians Power Distributors and Dispatchers AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

Options the data surfaces for Gas Plant Operators — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Write a report on thisheadline · factoids · citation

Gas Plant Operators show 28th-percentile AI task overlap — and about 1,300 annual U.S. openings

  • Gas Plant Operators rank in the 28th percentile (Low band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
  • The occupation is projected to see about 1,300 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
  • BLS projects employment to be declining (-8.8%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $83,400, across about 15,910 U.S. workers.BLS OEWS (May 2024)
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Gas Plant Operators show 28th-percentile AI task overlap — and about 1,300 annual U.S. openings

• Gas Plant Operators rank in the 28th percentile (Low band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE)
• The occupation is projected to see about 1,300 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34)
• BLS projects employment to be declining (-8.8%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $83,400, across about 15,910 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Gas Plant Operators". https://singulariki.com/roles/role-51-8092-00
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.

AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom

Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Gas Plant Operators." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-51-8092-00

APA

Singulariki. (2026). Gas Plant Operators. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-51-8092-00

BibTeX
@misc{singulariki-role-51-8092-00,
  title  = {Gas Plant Operators},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-51-8092-00}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.

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