Will AI replace Automotive Engineers?
Estimated risk score: 54 out of 100
Moderate replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (35 to 73).
For the occupation as a whole, from ratings of its 25 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 17-2141.02 · Architecture and Engineering
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 10 of its 25 rated tasks; the first 6 are shown. In O*NET’s words.
- Prepare or present technical or project status reports.
- Write, review, or maintain engineering documentation.
- Read current literature, attend meetings or conferences, or talk with colleagues to stay abreast of new automotive technology or competitive products.
- Build models for algorithm or control feature verification testing.
- Calibrate vehicle systems, including control algorithms or other software systems.
- Design control systems or algorithms for purposes such as automotive energy management, emissions management, or increased operational safety or performance.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 1 of its 25 rated tasks. In O*NET’s words.
- Conduct or direct system-level automotive testing.
What the job is
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.
Also called: Automotive Designer, Powertrain Engineer, Design Release Engineer, Systems Design Engineer, Customer Quality Engineer, Vehicle Controls Engineer, Automotive Project Engineer, Automotive Quality Engineer.
Source. This site includes information from the O*NET 30.1 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. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate