Will AI replace Environmental Scientists and Specialists, Including Health?
Estimated risk score: 55 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 (36 to 74).
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 19-2041.00 · Life, Physical, and Social Science
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: 2 of its 22 rated tasks. In O*NET’s words.
- Prepare charts or graphs from data samples, providing summary information on the environmental relevance of the data.
- Plan or develop research models, using knowledge of mathematical and statistical concepts.
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 22 rated tasks. In O*NET’s words.
- Supervise or train students, environmental technologists, technicians, or other related staff.
What the job is
Conduct research or perform investigation for the purpose of identifying, abating, or eliminating sources of pollutants or hazards that affect either the environment or public health. Using knowledge of various scientific disciplines, may collect, synthesize, study, report, and recommend action based on data derived from measurements or observations of air, food, soil, water, and other sources.
Also called: Environmental Programs Specialist, REHS, Ecological Modeler, Health Environmentalist, Pollution Control Chemist, Water Pollution Scientist, Water Pollution Specialist, Hazardous Substances 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