Will AI replace petroleum engineers?

Not on current evidence. Less than 30 minutes of a typical shift goes to tasks that AI or robots are doing today. The other 7h 32m (94%) stays with people. Separately, BLS expects about 2% more of these jobs by 2035 (all jobs: +3.5%).

AI shows up regularly in 1 of 23 tasks, about 28m of a typical shift. The biggest ones:

• Write technical reports for engineering and management personnel. (28m a shift, people use AI to help)

7h 32m of a typical shift, or 94%, goes to tasks with no AI or robot evidence yet. No AI usage or robot deployment has shown up for these so far. The biggest:

• Monitor production rates, and plan rework processes to improve production. (40m a shift)
• Analyze data to recommend placement of wells and supplementary processes to enhance production. (40m a shift)
• Assist engineering and other personnel to solve operating problems. (40m a shift)
• Direct and monitor the completion and evaluation of wells, well testing, or well surveys. (40m a shift)
• Develop plans for oil and gas field drilling, and for product recovery and treatment. (40m a shift)

Much of it comes down to where and how the work happens. In-person, hands-on and high-stakes work is where AI and robots have made the least headway so far. In the official O*NET survey of people in this job:

• 99% talk face to face with others every day
• 65% are in constant contact with other people
• 58% say dealing with the public is very or extremely important

For the 1 task in this job where AI shows up and timing data exists, a typical request takes about 10h 18m for a person alone and about 38m with AI. These are Claude's own estimates from real conversations in April and May 2026 (Anthropic Economic Index). They describe single requests, not whole workdays, and time saved on a task doesn't mean jobs are cut. The biggest gaps:

• Write technical reports for engineering and management personnel (about 10h 18m alone, 38m with AI)

On Indeed, job postings in the Mechanical Engineering sector are at 168% of their February 2020 level (all U.S. postings: 104%), up 43.4% from a year earlier, as of Oct 9, 2026. BLS separately expects about 1,000 openings a year in this job through 2035. Across all U.S. postings, 7.3% now mention AI skills. Sector postings cover more than this one job and move for many reasons besides AI.

The median pay is about $144,910 a year ($69.67 an hour), 184% above the median for all U.S. jobs ($50,980). Most people in this job earn between $81,440 and $253,200 or more a year; that range covers the middle 80%. Pay figures are from BLS, May 2025, and vary a lot by state and employer. Pick a state to compare:

BLS projects growth of 2% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 19,000 jobs in 2035. It expects about 1,000 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 18,000 people in the U.S., roughly 0.01% of all workers (BLS, May 2025). That makes it the 567th largest of the 796 jobs on this site. BLS expects about 19,000 in 2035.

The most common requirement is a bachelor's degree: about 72% of people in the job said so in the official O*NET survey. O*NET rates the job at level 4 of 5 for preparation, which usually means: bachelor's degree. Requirements vary by state and employer, especially for licensed work.

These come from the job's official skill ratings and from the tasks that AI and robots touch least today. Building them keeps you strong in the parts of the work that still need a person:

• Skills that matter more here than in most jobs: Systems Evaluation, Systems Analysis, Science, Time Management
• Get strong at the parts of the job that stay with people (listed above), which take 7h 32m of a typical shift
• Tools employers list: Microsoft PowerPoint, Microsoft Office software, Microsoft Excel, Autodesk AutoCAD, C#
• Learn to use AI well on the tasks where it already shows up in this job (listed above)

Yes. Occupational experts recently added these to the official task list, a sign of how the work itself is shifting. New tasks aren't rated for AI or robots yet:

• Use drone technology for aerial surveying and monitoring of drilling sites.

These use similar skills. Matches come from 109 official ratings of skills, knowledge and work activities, and each needs the same or less preparation unless the official list relates the jobs directly:

• Mining and Geological Engineers, Including Mining Safety Engineers (56m touched, $106k median pay)
• Energy Engineers (29m touched, $123k median pay)
• Water/Wastewater Engineers (0m touched, $101k median pay)
• Chemical Engineers (0m touched, $125k median pay)

Each task carries its own evidence label. For this job: 1 observed in real AI use, 22 with no AI or robot evidence found. The minutes per task are estimates, not measured hours, and "no evidence" doesn't prove a task is safe.