Will AI replace Electrical 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 22 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 17-2071.00 · 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: 5 of its 22 rated tasks. In O*NET’s words.
- Compile data and write reports regarding existing or potential electrical engineering studies or projects.
- Operate computer-assisted engineering or design software or equipment to perform engineering tasks.
- Perform detailed calculations to compute and establish manufacturing, construction, or installation standards or specifications.
- Prepare specifications for purchases of materials or equipment.
- Plan or implement research methodology or procedures to apply principles of electrical theory to engineering projects.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 3 of its 22 rated tasks. In O*NET’s words.
- Confer with engineers, customers, or others to discuss existing or potential engineering projects or products.
- Supervise or train project team members, as necessary.
- Inspect completed installations and observe operations to ensure conformance to design and equipment specifications and compliance with operational, safety, or environmental standards.
What the job is
Research, design, develop, test, or supervise the manufacturing and installation of electrical equipment, components, or systems for commercial, industrial, military, or scientific use.
Also called: Electrical Design Engineer, Meter Engineer, Results Engineer, Circuits Engineer, Division Engineer, Protection Engineer, Substation Engineer, Electrical Integrator.
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