Will AI replace Agricultural Engineers?
Estimated risk score: 35 out of 100
Lower 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 (16 to 54).
For the occupation as a whole, from ratings of its 14 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 17-2021.00 · 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: 1 of its 14 rated tasks. In O*NET’s words.
- Design agricultural machinery components and equipment, using computer-aided design (CAD) technology.
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 14 rated tasks. In O*NET’s words.
- Test agricultural machinery and equipment to ensure adequate performance.
- Meet with clients, such as district or regional councils, farmers, and developers, to discuss their needs.
- Visit sites to observe environmental problems, to consult with contractors, or to monitor construction activities.
What the job is
Apply knowledge of engineering technology and biological science to agricultural problems concerned with power and machinery, electrification, structures, soil and water conservation, and processing of agricultural products.
Also called: Research Agricultural Engineer, Regional Engineer, Agriculture Engineer, Agriculture Scientist, Permaculture Designer, Farm Equipment Engineer, Field Research Associate, Product Technology Scientist.
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