Last Update: 3/13/2026
Your role’s AI Resilience Score is
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 shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They control and monitor drilling equipment on oil rigs to help extract oil and gas from the ground safely and efficiently.
This role is evolving
The career of a Derrick Operator in the oil and gas industry is labeled as "Evolving" because AI and automation are gradually changing how many tasks are done on oil rigs. Machines now handle repetitive or dangerous jobs, like moving heavy pipes, making the work 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
This role is evolving
The career of a Derrick Operator in the oil and gas industry is labeled as "Evolving" because AI and automation are gradually changing how many tasks are done on oil rigs. Machines now handle repetitive or dangerous jobs, like moving heavy pipes, making the work safer and more efficient.
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
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
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
Derrick Operators, O&G
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
Today’s oil rigs are getting smarter, but many derrick-operator tasks remain hands-on. Heavy lifting and pipe handling are among the first areas to be mechanized. For example, machines called “iron roughnecks” and robotic pipe handlers now tighten drill pipes and move stands, tasks that used to need a person climbing the derrick. [1] [2].
Sensors and computer systems also help control the drilling fluid and pumps. In fact, experts note that modern rigs can automatically mix mud and adjust its weight, flow and pressure using real-time sensors [1] [3]. AI software on some rigs even optimizes drilling speed (rate of penetration) and watches for problems like stuck pipes, alerting crews if something needs attention [3] [2].
Still, many core duties haven’t been fully automated. Aligning and bolting together huge derrick sections, clamping cable fixtures, and guiding each pipe into elevators all rely on human skill. Supervising and training the crew also remain human jobs.
As one drilling report noted, “there is no longer a need for the derrickman to work the monkey board while tripping, since this activity has been fully automated,” allowing the operator to focus on fluid and pump maintenance [1]. In other words, new tools take on repetitive or dangerous work, but people still check their work, handle surprises, and make tough decisions on the rig.

AI in the real world
Oil companies are interested in AI and automation mainly because of safety and efficiency gains. Machines don’t get tired or bored, so when a robot handles heavy pipes or monitors pumps, there’s less risk of accidents. In fact, industry leaders report that automation can speed up drilling: one rig team saw “automated tripping” happen about 40% faster than manual work [2].
Cutting costs and improving safety are big motivators. For example, a drilling supervisor explained that improving safety records can justify spending millions on new tech [1].
At the same time, rolling out AI in drilling is done carefully. Rigs are expensive, remote, and work in tough conditions, so any new system must be very reliable. Experts warn that when digital tools didn’t perform as hoped, companies “tend to retreat” back to tried-and-true methods [4].
Training and trust also take time. Many rigs still use a mix of old and new gear. Over time, though, the trend is toward gradually adding helpful AI.
This means crews will still operate the rig but with better information and safer machines. Human strengths – problem-solving, teamwork, and supervision – remain crucial even on “smart” rigs. In the end, people work with AI tools rather than being fully replaced, keeping jobs safe and rigs running well. [1] [2]

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Median Wage
$62,740
Jobs (2024)
11,300
Growth (2024-34)
+0.5%
Annual Openings
1,000
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
Guide lengths of pipe into and out of elevators.
Supervise crew members, and provide assistance in training them.
Set and bolt crown blocks to posts at tops of derricks.
Clamp holding fixtures on ends of hoisting cables.
Repair pumps, mud tanks, and related equipment.
Steady pipes during connection to or disconnection from drill or casing strings.
Listen to mud pumps and check regularly for vibration and other problems to ensure that rig pumps and drilling mud systems are working properly.
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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