Will AI replace Environmental Engineers?
Estimated risk score: 57 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 (38 to 76).
For the occupation as a whole, from ratings of its 28 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 17-2081.00 · 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: 6 of its 28 rated tasks. In O*NET’s words.
- Prepare hazardous waste manifests or land disposal restriction notifications.
- Provide administrative support for projects by collecting data, providing project documentation, training staff, or performing other general administrative duties.
- Write reports or articles for Web sites or newsletters related to environmental engineering issues.
- Inform company employees or other interested parties of environmental issues.
- Request bids from suppliers or consultants.
- Prepare, maintain, or revise quality assurance documentation or procedures.
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 28 rated tasks. In O*NET’s words.
- Assess, sort, characterize, or pack known or unknown materials.
What the job is
Research, design, plan, or perform engineering duties in the prevention, control, and remediation of environmental hazards using various engineering disciplines. Work may include waste treatment, site remediation, or pollution control technology.
Also called: Soil Engineer, Coastal Engineer, Air Quality Engineer, Solid Waste Engineer, Engineering Consultant, Flood Control Engineer, Public Health Engineer, Sewage Disposal 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