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How exposed to AI is a Automotive Engineer?

Of the 25 tasks O*NET lists for automotive engineers, 11 could be done in half the time with a chat window today. 4 cannot be sped up at all. Here is which.

Exposure means published research judged an AI could halve the time a task takes, at the same quality. It does not mean the task stops needing a person. How to read this

Also called
Dimensional Integration EngineerEngineerProduct EngineerProject EngineerResearch Engineer
Reachable today Needs software built first Cannot be sped up
25
tasks rated for this occupation
95%
hold a degree, from a survey of 21
278k
people do this job in the US
8 of 56
least protected in architecture and engineering

Every task, and what AI can do with it

These are O*NET's task statements for this occupation, exactly as written, sorted into the three bands by the ratings behind this report. Nothing has been reworded.

Reachable with a chat window today

11
  • Provide technical direction to other engineers or engineering support personnel
  • Prepare or present technical or project status reports
  • Conduct research studies to develop new concepts in the field of automotive engineering
  • Establish production or quality control standards
  • Research or implement green automotive technologies involving alternative fuels, electric or hybrid cars, or lighter or more fuel-efficient vehicles
  • Develop calibration methodologies, test methodologies, or tools
  • Conduct automotive design reviews
  • Write, review, or maintain engineering documentation
  • Develop specifications for vehicles powered by alternative fuels or alternative power methods
  • Develop or integrate control feature requirements
  • Research computerized automotive applications, such as telemetrics, intelligent transportation systems, artificial intelligence, or automatic control

Only with software built on top

10
  • Perform failure, variation, or root cause analyses
  • Calibrate vehicle systems, including control algorithms or other software systems
  • Create design alternatives for vehicle components, such as camless or dual-clutch engines or alternative air-conditioning systems, to increase fuel efficiency
  • Develop or implement operating methods or procedures
  • Develop engineering specifications or cost estimates for automotive design concepts
  • Design vehicles that use lighter materials, such as aluminum, magnesium alloy, or plastic, to improve fuel efficiency
  • Build models for algorithm or control feature verification testing
  • Design control systems or algorithms for purposes such as automotive energy management, emissions management, or increased operational safety or performance
  • Read current literature, attend meetings or conferences, or talk with colleagues to stay abreast of new automotive technology or competitive products
  • Design vehicles for increased recyclability or use of natural, renewable, or recycled materials in vehicle construction

Cannot be sped up

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
What this does not say

This is not a prediction about your job

Nobody surveyed an employer. Tasks are counted equally, so a percentage here is a share of the list rather than a share of your week. And the ratings were made in 2023, which makes every figure a floor rather than a ceiling.

It must never be used to select anyone for redundancy. The full limits are here.

Where to go next

This is the standard task list for the title. The useful next question is which of the tasks you actually do should go near AI, and which should not.

Sort your own tasks Read the full report

Exposure ratings from Eloundou, Manning, Mishkin and Rock, GPTs are GPTs: Labor market impact potential of LLMs, Science 384, 1306–1308, 2024, used under the MIT licence. This page includes information from the O*NET Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. People Team AI has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications. Employment figures from the US Bureau of Labor Statistics.