Will AI replace Environmental Restoration Planners?
AI reaches most of this job’s work.
65/100
Very high exposure
More exposed to AI than 94% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 95% of the work
What the job involves
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.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(22)
- Develop environmental restoration project schedules and budgets.
- Provide technical direction on environmental planning to energy engineers, biologists, geologists, or other professionals working to develop restoration plans or strategies.
- Create habitat management or restoration plans, such as native tree restoration and weed control.
- Conduct site assessments to certify a habitat or to ascertain environmental damage or restoration needs.
- Collect and analyze data to determine environmental conditions and restoration needs.
and 17 more
Out of reach(1)
- Supervise and provide technical guidance, training, or assistance to employees working in the field to restore habitats.
Also called
Restoration Ecologist · Environmental Planner · Coastal and Estuary Specialist · Fisheries Habitat Restoration Specialist · Habitat Restoration Specialist · Marine Habitat Resources Specialist · Restoration Specialist · Watershed Coordinator
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics