AI Stole My Job

Will AI replace Environmental Restoration Planners?

Estimated risk score: 45 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 (26 to 64).

For the occupation as a whole, from ratings of its 23 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.

O*NET-SOC 19-2041.02 · 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 23 rated tasks. In O*NET’s words.

  1. Write grants to obtain funding for restoration projects.
  2. Notify regulatory or permitting agencies of deviations from implemented remediation plans.

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 23 rated tasks. In O*NET’s words.

  1. Supervise and provide technical guidance, training, or assistance to employees working in the field to restore habitats.

What the job is

Collaborate with field and biology staff to oversee the implementation of restoration projects and to develop new products. Process and synthesize complex scientific data into practical strategies for restoration, monitoring or management.

Also called: Coastal and Estuary Specialist, Habitat Restoration Specialist, Marine Habitat Resources Specialist, Conservation Planner, Watershed Coordinator, Restoration Specialist, Habitat Conservation Planner, Environmental Planning 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