π‘ Petroleum Engineers have a composite risk score of 36/100 (Frey-Osborne probability: 16%, GenAI exposure: 80/100). With 18,970 workers in the US, this occupation faces moderate but manageable AI pressure. Full occupation profile β
π― The Verdict
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
With 18,970 workers and a median wage of $141K,petroleum engineers represent a significant portion of the US workforce. Their GenAI exposure index is 80%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
36/100
Employment
18,970
Median Wage
$141K
GenAI Exposure
80%
β οΈ Top Risk Factors
AI coding assistants reducing developer demand
Robotic inspection and testing automation
AI-powered research and literature review tools
π‘οΈ Tasks AI Can't Easily Replace
Client communication and technical consultation
Cross-disciplinary collaboration on complex projects
Safety-critical judgment in design review
On-site problem-solving in variable physical conditions
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Engineers
72% skills overlap Β· $106K median wage
Computer Hardware Engineers
79% skills overlap Β· $155K median wage
Electronics Engineers, Except Computer
79% skills overlap Β· $128K median wage
β Frequently Asked Questions
Will AI completely replace petroleum engineers?
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
What is the AI risk score for petroleum engineers?
Petroleum Engineers have a composite AI automation risk score of 36 out of 100, classified as "Moderate".
How many petroleum engineers are there in the US?
There are approximately 18,970 petroleum engineers employed in the United States.
What do petroleum engineers earn?
The median annual wage for petroleum engineers is $141K.
What skills should petroleum engineers develop?
Focus on tasks AI can't easily replicate: client communication and technical consultation, cross-disciplinary collaboration on complex projects, safety-critical judgment in design review, on-site problem-solving in variable physical conditions. These human-centric skills will become more valuable as routine tasks are automated.