Last Update: 11/21/2025
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They help keep oil and gas operations running smoothly by setting up, running, and fixing equipment used in drilling and production.
Summary
The career of Service Unit Operators in Oil and Gas is labeled as "Evolving" because AI and automation are starting to change how some tasks are done. New technologies, like smart pumps and drones, are helping with routine and dangerous jobs, making operations safer and more efficient.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
Summary
The career of Service Unit Operators in Oil and Gas is labeled as "Evolving" because AI and automation are starting to change how some tasks are done. New technologies, like smart pumps and drones, are helping with routine and dangerous jobs, making operations safer and more efficient.
Read full analysisContributing Sources
AI Resilience
All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.
CareerVillage.org's AI Resilience Analysis
AI Task Resilience
Microsoft's Working with AI
AI Applicability
Will Robots Take My Job
Automation Resilience
Low Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Service Unit Operators
Updated Quarterly • Last Update: 11/22/2025

State of Automation & Augmentation
In many oilfield service tasks, new technology is starting to help rather than fully replace people. For example, systems like the “Smart Pumper” use sensors and software to run well pumps automatically. The pump speed adjusts to changing fluid levels, which keeps oil flowing smoothly with less hands-on tweaking [1].
These systems also log data so operators can click a button and get automatic production reports instead of writing them by hand [1]. On drilling rigs, companies are even testing robotic arms to do heavy work. For instance, modern rigs can use computer-controlled arms to connect pipe and handle valves that humans used to carry on their shoulders [2].
This kind of automation can reduce danger by keeping workers out of the riskiest areas. Drones and inspection robots are also helping: they can fly around oil rigs or scan pipelines for leaks with cameras and sensors, so people don’t have to climb up in hazardous spots [3].
However, many core tasks still need a human touch. Deciding the best tool to fish out a stuck pipe or carefully installing a pressure-control valve on a wellhead are jobs engineers learn by experience. Similarly, threading cables through pulleys and driving service trucks to well sites remain manual for now.
In short, data-heavy work (like logging pump output and writing reports) is seeing automation, but on-site rig tasks still rely on skilled people’s judgment [1] [2].

AI Adoption
Oil companies will adopt AI and automation when it clearly makes operations safer or saves money. Many large producers are already exploring AI for predictive maintenance (catching equipment problems before they happen) and for organizing data. In an industry survey, 43% of managers said predictive maintenance is the AI application having the biggest impact today [4].
But making AI work on the rigs is not easy. Respondents in that survey said the hardest part is integrating new AI tools with old machinery and computer systems [4]. Finding enough trained data experts is also a challenge [4].
Economics play a role too. A study on oilfield jobs found that about half of technical tasks could be automated in a couple of decades, but it also stressed that human skills remain important [5] [5]. In other words, AI might do routine monitoring and math, but humans are still needed to solve surprises, persuade team members, or make judgement calls under tough conditions [5].
Rules and safety regulations also slow things down; oil companies won’t trust a new robot or AI until it proves safe and reliable. Overall, AI tools tend to be used first where they boost safety and efficiency (like remote monitoring of pumps or hazard sensors), while hands-on service jobs stay with people for now [4] [5]. This means oilfield operators can look forward to smart helpers for boring or dangerous bits of the job, while their own expertise and teamwork remain crucial to keep wells flowing safely.

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Median Wage
$57,980
Jobs (2024)
45,200
Growth (2024-34)
+0.4%
Annual Openings
4,100
Education
No formal educational credential
Experience
Less than 5 years
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Confer with others to gather information regarding pipe or tool sizes or borehole conditions in wells.
Drive truck-mounted units to well sites.
Install pressure-control devices onto wellheads.
Thread cables through derrick pulleys, using hand tools.
Operate specialized equipment to remove obstructions by backing-off or severing pipes by chemical or explosive action.
Close and seal wells no longer in use.
Operate controls that raise derricks or level rigs.
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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