High AI Risk Slow Growth

Petroleum engineers

SOC Code: 17-2171

Petroleum engineers carries a 42% AI exposure score (High automation risk), with a median annual wage of $141,280 and +1.3% projected employment growth from 2024 to 2034 (BLS), affecting approximately 19,600 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
42% High

Proportion of tasks susceptible to AI automation (O*NET analysis)

Projected Growth
+1.3%
2024–2034 (BLS)
+200 jobs
Median Annual Wage
$141,280
BLS May 2024
How wage figures are sourced →

AI Exposure vs Industry Growth

Workforce demand by occupation Sanctioned bespoke signature viz (@signature-viz, KIZ-799) showing occupation-level workforce demand from BLS OEWS data. Pure SVG, no external dependencies.Projected Growth 2024-2034 (BLS)Technology+12.8%Healthcare+10.2%Professional+7.8%Education+5.8%Construction+4.5%Finance+4.6%Logistics+3.2%Government+1.2%Manufacturing-2.1%Retail-3.4%
National AI Exposure
40%
Average across all occupations
Avg Wage Growth
+3.2%
Median annual wage change
High-Risk Roles
127
Occupations with >70% AI exposure

Total occupations tracked

832

Covering all SOC major groups

Data currency

2024

BLS Employment Projections

AI exposure avg

40%

Fleet-wide median across all roles

Methodology confidence 92.0%
Industry standard

Composite score weighing O*NET task data completeness, BLS projection methodology, and cross-validation with employer risk grades.

Employment Projections

19,600
Employment 2024
19,800
Projected 2034
+1.3%
Change (%)
+200
Change (jobs)

Occupation Insight

Petroleum engineers (SOC 17-2171) carries an AI exposure score of 42%, placing it in the High automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score in the 40–70% range indicates meaningful automation pressure on specific task categories, but the role as a whole still requires human judgment for coordination, exception handling, or client interaction.

The economic context matters alongside the risk score. BLS counted approximately 19,600 workers in this occupation in 2024, and projects a +1.3% change through 2034 — modest growth that keeps the occupation viable even as tasks evolve. Median annual compensation stands at $141,280, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires Bachelor's degree, plus None of related experience.

For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Petroleum engineers. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.

Education & Entry Requirements

Typical Education
Bachelor's degree
Work Experience
None
On-the-Job Training
None

Top Tasks (O*NET)

  1. 1. Specify and supervise well modification and stimulation programs to maximize oil and gas recovery.
  2. 2. Test machinery and equipment to ensure that it is safe and conforms to performance specifications.
  3. 3. Monitor production rates, and plan rework processes to improve production.
  4. 4. Maintain records of drilling and production operations.
  5. 5. Analyze data to recommend placement of wells and supplementary processes to enhance production.
  6. 6. Assist engineering and other personnel to solve operating problems.
  7. 7. Assign work to staff to obtain maximum utilization of personnel.
  8. 8. Direct and monitor the completion and evaluation of wells, well testing, or well surveys.
  9. 9. Develop plans for oil and gas field drilling, and for product recovery and treatment.
  10. 10. Assess costs and estimate the production capabilities and economic value of oil and gas wells, to evaluate the economic viability of potential drilling sites.

Key Skills Required

  • Reading Comprehension
  • Critical Thinking
  • Active Listening
  • Writing
  • Speaking
  • Complex Problem Solving
  • Judgment and Decision Making
  • Systems Analysis
  • Systems Evaluation
  • Active Learning

Knowledge Areas

  • Engineering and Technology
  • Mathematics
  • Physics
  • Computers and Electronics
  • Chemistry
  • Administration and Management
  • Economics and Accounting
  • Administrative
  • English Language
  • Design

Frequently Asked Questions

Will AI replace Petroleum engineers?

Petroleum engineers has an AI exposure score of 42%, indicating a high level of automation risk. Some tasks in this role can be augmented or partially automated by AI, but core responsibilities require human judgment.

What is the job outlook for Petroleum engineers?

According to BLS Employment Projections 2024-2034, Petroleum engineers is projected to grow by 1.3% over the decade. Current employment stands at approximately 19,600 workers.

What skills are needed for Petroleum engineers?

Key skills for Petroleum engineers include Reading Comprehension, Critical Thinking, Active Listening, and others. Typical entry-level education is Bachelor's degree.

How much do Petroleum engineers earn?

The median annual wage for Petroleum engineers is $141,280, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.

What education is required for Petroleum engineers?

The typical entry-level education for Petroleum engineers is Bachelor's degree. Employers generally expect None of related work experience. On-the-job training typically involves None. Requirements can vary by employer and specialization.

Which companies employ Petroleum engineers?

Petroleum engineers roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.

AI Exposure Rating

2.1
out of 5.0

High automation risk based on 10 analyzed tasks. A moderate share of tasks may be augmented by AI tools.

Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).

Related

Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainWorkforce Editorial