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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: 4/23/2026
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%).
Med
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.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
Rotary Drill Operators, Oil and Gas are somewhat less resilient to AI impacts than most occupations, according to our analysis of 5 sources.
The career of a Rotary Drill Operator in oil and gas is labeled as "Somewhat Resilient" because many routine tasks are increasingly being automated, such as monitoring drilling speeds and performing maintenance checks. However, the job still requires human judgment for critical tasks like choosing the right drill bit and ensuring crew safety, which machines can't handle alone.
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 somewhat resilient
The career of a Rotary Drill Operator in oil and gas is labeled as "Somewhat Resilient" because many routine tasks are increasingly being automated, such as monitoring drilling speeds and performing maintenance checks. However, the job still requires human judgment for critical tasks like choosing the right drill bit and ensuring crew safety, which machines can't handle alone.
Read full analysisAnalysis of Current AI Resilience
Rotary Drill Operator
Updated Quarterly • Last Update: 2/17/2026

Rotary drill operators work large rigs to reach underground oil or rock samples [1]. Today, many tools use digital sensors and controls to help them. For example, automated systems (sometimes called “auto-drillers”) can handle routine steps like adding or removing pipe sections and adjusting weight-on-bit automatically to keep drilling efficient [2] [3].
In practice, industry sources say AI models can make drilling 5–15% faster and cut downtime by up to 30% [3]. Computers also collect data on drilling speed, depth, and tool wear so operators can monitor progress without manual counting. Predictive maintenance tools watch machine health and warn when parts need service, helping prevent breakdowns [4].
At the same time, most drillers still do tasks that need human judgment. Choosing the right drill bit for a rock layer, training the crew for safety, and fixing unexpected problems remain hands-on jobs. Experts note that even “smart” rigs need humans to oversee them: operators monitor automated systems and step in if something goes wrong [2] [5].
In short, basic drilling aids and monitoring are increasingly digital, but the overall job is far from fully robotic. Human skill in safety and leadership is still vital on the rig.

Oil companies may invest in AI if it clearly boosts safety or saves money. Autonomy can improve safety -- for instance, systems can warn of equipment faults in real time – and let one person oversee several rigs, cutting costs [6] [4]. But setting up high-tech rigs costs a lot (hundreds of millions of dollars in some projects [4]).
When oil prices fall or costs are high, companies move carefully. Another challenge is that many rigs are in remote areas. Reliable satellite links and sensors are needed to run automated systems far offshore or in the desert [6].
Experts also point out non-technical factors: drilling data is sensitive, and the industry is cautious about new tech. Many rig workers are experienced hands who need new training to work with AI, which can slow change [4] [6]. In the end, companies will balance clear benefits (like fewer accidents and breakdowns) with practical limits.
As one drilling trade article explains, adoption may grow steadily: firms want AI’s gains, but only situations that pay off in safety and efficiency will move first [4] [6].

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They operate drilling machines to dig deep holes in the ground to find and extract oil and gas.
Median Wage
$65,010
Jobs (2024)
13,300
Growth (2024-34)
+0.2%
Annual Openings
1,200
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
Bolt together pump and engine parts, and connect tanks and flow lines.
Clean and oil pulleys, blocks, and cables.
Direct rig crews in drilling and other activities, such as setting up rigs and completing or servicing wells.
Position and prepare truck-mounted derricks at drilling areas specified on field maps.
Remove core samples during drilling to determine the nature of the strata being drilled.
Train crews, and introduce procedures to make drill work more safe and effective.
Plug observation wells, and restore sites.
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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