Will AI replace Manufacturing Engineers?
Estimated risk score: 53 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 (34 to 72).
For the occupation as a whole, from ratings of its 24 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 17-2112.03 · 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: 3 of its 24 rated tasks. In O*NET’s words.
- Prepare reports summarizing information or trends related to manufacturing performance.
- Read current literature, talk with colleagues, participate in educational programs, attend meetings or workshops, or participate in professional organizations or conferences to keep abreast of developments in the manufacturing field.
- Prepare documentation for new manufacturing processes or engineering procedures.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 2 of its 24 rated tasks. In O*NET’s words.
- Supervise technicians, technologists, analysts, administrative staff, or other engineers.
- Train production personnel in new or existing methods.
What the job is
Design, integrate, or improve manufacturing systems or related processes. May work with commercial or industrial designers to refine product designs to increase producibility and decrease costs.
Also called: Facility Engineer, Lean Manufacturing Engineer, Manufacturing Process Engineer, Manufacturing Project Engineer, Manufacturing Quality Engineer, Manufacturing Systems Engineer, Process Manufacturing Engineer, Product Manufacturing 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