Mostly Resilient
Last Update: 8/30/2026
AI Resilience Score for Petroleum Engineers:
52.5%
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%).
High
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.
Limited data sources are available, or existing sources show notable disagreement on the outlook for this occupation.
Contributing sources
AI Resilience Report forPetroleum Engineers
$144,910 median salary•1,000 annual openings•SOC Code: 17-2171.00
Petroleum Engineers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Petroleum engineering earns a "Mostly Resilient" label because AI is stepping in to handle the more routine, repetitive parts of the job (like writing reports and maintaining records) while leaving the high-stakes judgment calls firmly in human hands. Engineers are still needed to check whether AI recommendations actually make physical sense, validate assumptions, and make decisions that carry real consequences for safety and billions of dollars in investment.
Learn more about how you can thrive in this position
View analysis
Chat with Coach
Latest news
More career infoAnalysisChatNewsMoreThis role is mostly resilient
Petroleum engineering earns a "Mostly Resilient" label because AI is stepping in to handle the more routine, repetitive parts of the job (like writing reports and maintaining records) while leaving the high-stakes judgment calls firmly in human hands. Engineers are still needed to check whether AI recommendations actually make physical sense, validate assumptions, and make decisions that carry real consequences for safety and billions of dollars in investment.
Read full analysisLearn more about how you can thrive in this position
View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreAnalysis of Current AI Resilience
Petroleum Engineers
Updated Quarterly
How is AI changing Petroleum Engineers jobs?
The good news for anyone eyeing this career: right now, AI is mostly augmenting petroleum engineers rather than replacing them. A recent SPE article puts it plainly — "AI does not replace the petroleum engineer. It elevates the role of engineering judgment" — as routine interpretation, scenario generation, and optimization [1] get automated, engineers focus more on validating assumptions and checking whether AI recommendations are physically realistic.
That maps to your task list: paperwork-heavy jobs like maintaining records and writing reports (65–72% automatable) are being handled by AI assistants, while judgment-heavy tasks stay human. Real deployments back this up. Oil & Gas Journal reports that McKinsey found AI could unlock $230 billion in annual upstream value [2], with machine learning and agentic AI systems executing multistep reservoir-management workflows with limited human intervention, potentially cutting exploration timelines from months to days.
Offshore, Aker BP is scaling up an AI computer-vision system called CleanSight [3] that monitors drilling returns in real time to warn crews of hole-cleaning issues and helped reduce nonproductive circulating time in trials.
Sources
How fast is AI adoption growing for Petroleum Engineers?
Adoption is accelerating but uneven. Deloitte's 2026 outlook notes that AI and gen AI make up less than 20% of IT spending by U.S. oil and gas companies today but are projected to top 50% by 2029 [4], with about half of that spend targeting process optimization like real-time drilling adjustments. The economic pull is huge — McKinsey's $230B estimate is net of over $30B in implementation costs, and OGJ notes the value is highly concentrated, with the top 10 use cases driving nearly half of it.
But scaling is slow because of incomplete data, legacy systems, and limited connectivity, plus commercial friction: service companies can lose billable hours when AI makes drilling faster. Labor conditions also matter — the BLS projects only 2% job growth for petroleum engineers from 2025–2035 [5] with a median wage of $144,910, so companies have every incentive to use AI to stretch a small, expensive workforce rather than eliminate it. The bottom line: if you love this field, focus on subsurface intuition, data literacy, and decision-making — skills AI still needs a human partner to deliver.
Sources
Will AI replace Petroleum Engineers?
No. We don't think AI will replace Petroleum Engineers, though we do expect the job to change.
That's the story behind our 52.5% AI Resilience Score for this career. AI is already handling the routine end of the job: writing reports, maintaining records, and running optimization scenarios. But as one SPE piece puts it, "AI does not replace the petroleum engineer. It elevates the role of engineering judgment" [1]. The human work, validating AI recommendations, catching physically unrealistic outputs, making high-stakes calls under uncertainty, is exactly what machines still can't do reliably.
Adoption is accelerating fast. AI and gen AI represent less than 20% of IT spending by U.S. oil and gas companies today but are projected to top 50% by 2029 [4]. The economic pull is enormous, with McKinsey estimating AI could unlock $230 billion in annual upstream value [2]. That scale of opportunity gives companies every reason to use AI to stretch a small, expensive workforce rather than cut it entirely.
Job growth through 2035 is projected at only 2%, so the market is tight [5]. But the earning potential and adaptability of this role remain strong. If you go into this field, build your subsurface intuition, get comfortable with data, and practice making decisions with imperfect information. That combination is what keeps petroleum engineers in the room.
Sources
Help us improve this report.
Tell us if this analysis feels accurate or we missed something.
Share your feedback
Latest AI news for Petroleum Engineers
These articles highlight how AI is reshaping the petroleum engineering field, emphasizing the importance of adaptability. For instance, AI's role in predicting pump failures can enhance operational efficiency, while its application in managing wastewater addresses critical environmental challenges. As AI technologies advance, petroleum engineers must embrace these tools to remain relevant and innovative. The shift towards data-driven methods reinforces the need for engineers to upskill and integrate AI into their work, ensuring they thrive in an evolving industry landscape.
In the Permian Basin, AI takes on big oil’s dirty water problem
www.texastribune.org • 5/21/2026
Facing limited options, oil industry turns to AI to handle wastewater from oil production. Producers discovered other uses to streamline the...
CNBC's The China Connection newsletter: Why AI isn't replacing jobs in China (yet)
www.cnbc.com • 4/6/2026
Rapid adoption of artificial intelligence has many in Silicon Valley reeling from news of layoffs. Engineers in China appear to be more...
AI Aids Detection and Understanding of Oil Spills
jpt.spe.org • 9/16/2025
This research aims to harness the advanced capabilities of artificial intelligence, specifically deep learning and large language models,...
Reviving the Backbone: How AI Is Breathing New Life Into Mature US Oil Fields
jpt.spe.org • 8/18/2025
AI is beginning to transform well management by helping engineers predict electrical submersible pump failures before they happen,...
Petroleum Engineers in the Age of AI: Adapt or Become Obsolete?
jpt.spe.org • 7/9/2025
Artificial intelligence is transforming—not replacing—petroleum engineering. As AI-driven, data-centric methods replace traditional...
More Career Info
Career: Petroleum Engineers
They find the best ways to get oil and gas from underground by designing equipment and planning drilling methods.
Parent Careers
Employment & Wage Data
Median Wage
$144,910
Jobs (2025)
18,500
Growth (2025-35)
+2.0%
Annual Openings
1,000
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Confer with scientific, engineering, and technical personnel to resolve design, research, and testing problems.
2
Supervise the removal of drilling equipment, the removal of any waste, and the safe return of land to structural stability when wells or pockets are exhausted.
3
Assist engineering and other personnel to solve operating problems.
4
Coordinate activities of workers engaged in research, planning, and development.
5
Specify and supervise well modification and stimulation programs to maximize oil and gas recovery.
6
Coordinate the installation, maintenance, and operation of mining and oil field equipment.
7
Direct and monitor the completion and evaluation of wells, well testing, or well surveys.
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.
