Will AI replace Automotive Engineers?
AI reaches most of this job’s work.
64/100
Very high exposure
More exposed to AI than 94% of US workers.
- AI already used in
- 10% of the work
- As AI tools mature: up to
- 83% of the work
What the job involves
Develop new or improved designs for vehicle structural members, engines, transmissions, or other vehicle systems, using computer-assisted design technology. Direct building, modification, or testing of vehicle or components.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Already happening(3)
- Write, review, or maintain engineering documentation.
- Prepare or present technical or project status reports.
- Develop calibration methodologies, test methodologies, or tools.
Within reach(18)
- Provide technical direction to other engineers or engineering support personnel.
- Perform failure, variation, or root cause analyses.
- Calibrate vehicle systems, including control algorithms or other software systems.
- Conduct research studies to develop new concepts in the field of automotive engineering.
- Establish production or quality control standards.
and 13 more
Out of reach(4)
- Conduct or direct system-level automotive testing.
- Design or analyze automobile systems in areas such as aerodynamics, alternate fuels, ergonomics, hybrid power, brakes, transmissions, steering, calibration, safety, or diagnostics.
- Alter or modify designs to obtain specified functional or operational performance.
- Coordinate production activities with other functional units, such as procurement, maintenance, or quality control.
Also called
Dimensional Integration Engineer · Engineer · Product Engineer · Project Engineer · Research Engineer · Automotive Designer · Automotive Engineer · Automotive Power Electronics Engineer
Related jobs
- Aerospace Engineers50/100
- Mechanical Engineers42/100
- Industrial Engineers59/100
- Manufacturing Engineers49/100
- Electronics Engineers, Except Computer48/100
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics