BETA
Updated: Mar 2
BETA
Updated: Mar 2
Changing fast
Last Update: 2/17/2026
Your role’s AI Resilience Score is
28.5%
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are undergoing rapid transformation. Entry-level tasks may be automated, and career paths may look different in the near future.
AI Resilience Report for
Pump Operators, Except Wellhead Pumpers
They control and manage pumps to move oil, gas, or other liquids safely through pipelines or into storage tanks.
This role is changing fast
The career of pump operators is labeled as "Changing fast" because many routine tasks, like monitoring gauges and recording data, are being automated by advanced computer systems and AI tools. These technologies handle steady monitoring and can even predict maintenance needs, reducing the need for humans to do these tasks manually.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is changing fast
The career of pump operators is labeled as "Changing fast" because many routine tasks, like monitoring gauges and recording data, are being automated by advanced computer systems and AI tools. These technologies handle steady monitoring and can even predict maintenance needs, reducing the need for humans to do these tasks manually.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
Changing fast16.0%
16.0%
Microsoft's Working with AI
AI Applicability
Evolving52.6%
52.6%
Will Robots Take My Job
Automation Resilience
Changing fast18.2%
18.2%
Low Demand
Labor Market Outlook
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
2.6%
Growth Percentile:
48.1%
Annual Openings:
1,500
Annual Openings Pct:
17.1%
Analysis of Current AI Resilience
Pump Operators
Updated Quarterly • Last Update: 2/17/2026
What's changing and what's not
Pump operator jobs involve tasks like checking gauges, recording amounts pumped, and turning valves. Today much of the data-logging and monitoring is handled by computer systems. For example, many pump stations use SCADA (supervisory control) software and sensors that automatically record flow rates, pressures, and tank levels [1] [2].
This means operators don’t have to write down every number by hand. AI and analytics tools can even look at this data to predict problems. Research shows that predictive maintenance systems use pump data to warn of failures before they happen [3] [4].
In some cases robots travel inside pipelines to inspect the line or collect fluid samples automatically [5] [5]. These technologies augment operators by doing routine checks and spotting issues early.
However, most pipelines still rely on people for physical and judgment-based work. Tasks like connecting hoses, managing complicated schedules, or making quick safety decisions remain mainly manual. New AI tools help with routine flows and alerts, but humans still interpret unusual situations.
In short, today’s pump operators work alongside smarter machines: computers handle steady monitoring and data analysis, while people handle hands-on tasks and use their experience to make decisions.
Sources
AI in the real world
Oil and gas companies are interested in using AI because it can save energy and prevent breakdowns [4] [3]. Big firms report that “key players” in energy and water industries already use AI on pump data to improve efficiency and plan maintenance [4]. Research also notes that pipeline inspection robots “have been widely adopted” in oil and gas for checking equipment [5].
This shows there is industry momentum for automation.
On the other hand, adopting full AI control is gradual. Upgrading a pump system requires investment in sensors, software, and training. One pipeline company found that installing a new SCADA system made the network “more flexible, easier-to-deploy… and adapt to changes” [1], but such projects take time and money.
Labor costs for pump operators are moderate, and companies must trust machines with safety. Because pipelines carry hazardous materials, firms often keep people in the loop for critical steps.
In the end, automation tends to take over routine work first – logging data, basic monitoring, and simple controls – while leaving complex or unpredictable tasks to people. Young workers can stay valuable by learning to work with these tools: operators who understand the AI and use their problem-solving skills will help their teams. Machines may handle the numbers, but human judgment and care will still be needed to ensure pumps run safely and smoothly [3] [4].
Sources
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More Career Info
Career: Pump Operators, Except Wellhead Pumpers
Parent Careers
Employment & Wage Data
Median Wage
$60,020
Jobs (2024)
13,100
Growth (2024-34)
+2.6%
Annual Openings
1,500
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Collect and deliver sample solutions for laboratory analysis.
2
Read operating schedules or instructions or receive verbal orders to determine amounts to be pumped.
3
Connect hoses and pipelines to pumps and vessels prior to material transfer, using hand tools.
4
Plan movement of products through lines to processing, storage, and shipping units, using knowledge of interconnections and capacities of pipelines, valve manifolds, pumps, and tankage.
5
Tend auxiliary equipment such as water treatment and refrigeration units, and heat exchangers.
6
Clean, lubricate, and repair pumps and vessels, using hand tools and equipment.
7
Add chemicals and solutions to tanks to ensure that specifications are met.
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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