Will AI replace Range Managers?
AI reaches a large part of this job’s work.
42/100
High exposure
More exposed to AI than 69% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 60% of the work
What the job involves
Research or study range land management practices to provide sustained production of forage, livestock, and wildlife.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(10)
- Study rangeland management practices and research range problems to provide sustained production of forage, livestock, and wildlife.
- Tailor conservation plans to landowners' goals, such as livestock support, wildlife, or recreation.
- Study grazing patterns to determine number and kind of livestock that can be most profitably grazed and to determine the best grazing seasons.
- Offer advice to rangeland users on water management, forage production methods, and control of brush.
- Coordinate with federal land managers and other agencies and organizations to manage and protect rangelands.
and 5 more
Out of reach(7)
- Manage forage resources through fire, herbicide use, or revegetation to maintain a sustainable yield from the land.
- Maintain soil stability and vegetation for non-grazing uses, such as wildlife habitats and outdoor recreation.
- Mediate agreements among rangeland users and preservationists as to appropriate land use and management.
- Plan and direct construction and maintenance of range improvements, such as fencing, corrals, stock-watering reservoirs, and soil-erosion control structures.
- Plan and implement revegetation of disturbed sites.
and 2 more
Also called
Range Management Specialist · Rangeland Management Specialist · Wildlife Refuge Manager · Range Conservationist · Conservationist · Forest Range Program Manager · Land Management Supervisor · Natural Resource Manager
Related jobs
- Environmental Restoration Planners65/100
- Conservation Scientists53/100
- Soil and Plant Scientists65/100
- Foresters38/100
- Industrial Ecologists72/100
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