Will AI replace Civil Engineering Technologists and Technicians?
Estimated risk score: 62 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 (43 to 81).
For the occupation as a whole, from ratings of its 15 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 17-3022.00 · 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 15 rated tasks. In O*NET’s words.
- Calculate dimensions, square footage, profile and component specifications, and material quantities, using calculator or computer.
- Prepare reports and document project activities and data.
- Analyze proposed site factors and design maps, graphs, tracings, and diagrams to illustrate findings.
- Draft detailed dimensional drawings and design layouts for projects to ensure conformance to specifications.
- Develop project budgets by estimating the cost of project activities.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 0 of its 15 rated tasks. In O*NET’s words.
None of its rated tasks.
What the job is
Apply theory and principles of civil engineering in planning, designing, and overseeing construction and maintenance of structures and facilities under the direction of engineering staff or physical scientists.
Also called: Civil Engineering Technician, Civil Tech, CADD Technician, Parking Analyst, Highway Technician, Civil Engineer Helper, Civil Engineer's Aide, Structural Technician.
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