Engineering

What the occupations pay

Median annual wage across the occupations this field of study leads to, from BLS OEWS (national, cross-industry, May 2024). The middle range is the 25th–75th percentile of those occupation medians — it describes the field, not any one job or graduate.

AI exposure of this field of study

Two published studies estimate how exposed each occupation is to today's AI. The OpenAI "GPTs are GPTs" study rates the share of an occupation's tasks a large language model (with tools) could speed up by half or more; averaged across the occupations this field of study leads to it is 45% — 65th percentile of all fields of study. The independent Felten/Raj/Seamans AI Occupational Exposure index averages 1.00 here.

Computed across the 34 of 34 occupations this field leads to that carry a published exposure score.

The most-exposed fields of study lead to knowledge, language and analytical work; the least-exposed lead to physical trades and hands-on production. Exposure measures where AI could assist tasks, not a prediction that these jobs will be automated; high exposure most often means augmentation. Bands are comparable across the cluster, education, job-zone and field-of-study tiers (same two studies, same percentile method).

Where this field of study leads

The largest occupations connected to this field by the CIP–SOC crosswalk, by employment. Wage and employment describe the occupation, not an individual.

Programs in this field

A sample of the detailed CIP programs within this family. The full family contains 59 programs.

• 14.0201 Aerospace, Aeronautical, and Astronautical/Space Engineering, General
• 14.0299 Aerospace, Aeronautical, and Astronautical/Space Engineering, Other
• 14.0301 Agricultural Engineering
• 14.0103 Applied Engineering
• 14.0401 Architectural Engineering
• 14.0202 Astronautical Engineering
• 14.4301 Biochemical Engineering
• 14.0501 Bioengineering and Biomedical Engineering
• 14.4501 Biological/Biosystems Engineering
• 14.0601 Ceramic Sciences and Engineering
• 14.0701 Chemical Engineering
• 14.0799 Chemical Engineering, Other
• 14.0702 Chemical and Biomolecular Engineering
• 14.0801 Civil Engineering, General
• 14.0899 Civil Engineering, Other
• 14.0901 Computer Engineering, General
• 14.0999 Computer Engineering, Other
• 14.0902 Computer Hardware Engineering
• 14.0903 Computer Software Engineering
• 14.3301 Construction Engineering
• 14.4701 Electrical and Computer Engineering
• 14.1001 Electrical and Electronics Engineering
• 14.1099 Electrical, Electronics, and Communications Engineering, Other
• 14.4101 Electromechanical Engineering
• 14.4801 Energy Systems Engineering, General
• 14.4899 Energy Systems Engineering, Other
• 14.4401 Engineering Chemistry
• 14.1101 Engineering Mechanics
• 14.1201 Engineering Physics/Applied Physics
• 14.1301 Engineering Science

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
• CIP-2020 2020 U.S. National Center for Education Statistics
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
• AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic

Data compiled June 3, 2026. Figures are estimates, not advice.

@misc{singulariki-engineering,
  title  = {Engineering},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; CIP-2020 2020; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026},
  url    = {https://singulariki.com/programs/engineering}
}