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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 5/19/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
This result is backed by strong agreement across multiple data sources.
Contributing sources
Gas Plant Operators are less resilient to AI impacts than most occupations, according to our analysis of 7 sources.
Gas plant operators are labeled "Not Very Resilient" because a large portion of their routine work — monitoring gauges, adjusting flow rates, and recording readings — is steadily being taken over by AI-powered SCADA systems and predictive automation tools. On top of that, major investment is accelerating this shift, with AI expected to jump from less than 20% to over 50% of oil and gas IT spending by 2029, meaning the pace of change is only going to pick up.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is not very resilient
Gas plant operators are labeled "Not Very Resilient" because a large portion of their routine work — monitoring gauges, adjusting flow rates, and recording readings — is steadily being taken over by AI-powered SCADA systems and predictive automation tools. On top of that, major investment is accelerating this shift, with AI expected to jump from less than 20% to over 50% of oil and gas IT spending by 2029, meaning the pace of change is only going to pick up.
Read full analysisAnalysis of Current AI Resilience
Gas Plant Operators
Updated Quarterly • Last Update: 5/14/2026

If you're thinking about becoming a gas plant operator, here's the honest picture: AI isn't replacing the role, but it's increasingly working alongside operators. Gas plants already rely heavily on Supervisory Control and Data Acquisition (SCADA) systems, and these are getting smarter. According to a Pumps & Systems case study, a large interstate pipeline company uses SCADA combined with remote alarm software at 19 compressor stations because since operators are not there 24/7 and this equipment is crucial for transporting gas efficiently, it is imperative that they are monitored at all times — meaning AI-powered alerts now extend what human operators can watch.
Deloitte's 2026 oil and gas outlook reports that a new generation of advanced technologies, including generative AI, agentic AI, and real-time analytics, is transforming enterprise operations, from corporate offices to frontline operations, and that predictive algorithms on processes have prevented more than 140 hours of downtime and protected 1.6% uptime, delivering measurable operational expenditure savings for an O&G company [1]. ISG research covered by World Oil confirms upstream operators are increasingly turning to automation, digital twins and predictive maintenance tools as they contend with tighter margins, workforce constraints and more complex operating environments. So routine tasks like adjusting flow, recording readings, and watching gauges are being automated — but human judgment for abnormal pressure events and team troubleshooting remains essential.

Adoption is accelerating, but not overnight. Deloitte projects that AI and gen AI currently make up less than 20% of total IT spending by US O&G companies but are projected to reach more than 50% by 2029, signaling massive investment ahead [1]. Economic pressure is a big driver: some early adopters of these systems have reported up to 40% fewer equipment failures and annual savings of US$10 million.
Workforce shortages also push adoption — the American Gas Association notes utilities are investing so that advanced technologies are improving system monitoring, safety, and performance. However, safety regulations slow things down. Gas plants are governed by strict PHMSA pipeline safety rules [2], meaning fully autonomous control is unlikely soon.
The U.S. Bureau of Labor Statistics projects the closely related power plant operator field will decline about 10% from 2024 to 2034 [3], suggesting fewer total jobs but not disappearance. Deloitte highlights a hopeful angle: with 66% of the O&G workforce in mechanically intensive roles, upskilling through AI-enabled engagement platforms and augmented training could enable faster onboarding and knowledge retention. The takeaway for you: operators who learn data tools, cybersecurity, and SCADA troubleshooting will be the ones AI augments — not replaces.
Safety judgment, teamwork, and hands-on response to abnormal events are still very human strengths in this field.

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They control and monitor equipment to process and distribute gas for utility companies, ensuring it flows smoothly and safely to homes and businesses.
Median Wage
$83,400
Jobs (2024)
16,200
Growth (2024-34)
-8.8%
Annual Openings
1,300
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Collaborate with other operators to solve unit problems.
Determine causes of abnormal pressure variances, and make corrective recommendations, such as installation of pipes to relieve overloading.
Operate construction equipment to install and maintain gas distribution systems.
Monitor transportation and storage of flammable and other potentially dangerous products to ensure that safety guidelines are followed.
Read logsheets to determine product demand and disposition, or to detect malfunctions.
Start and shut down plant equipment.
Calculate gas ratios to detect deviations from specifications, using testing apparatus.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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