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Range Managers

Range Managers score 37 out of 100, which is moderate exposure to AI. That ranks #450 of 923 US occupations, where #1 is the most exposed. Of the 17 tasks in this job, AI could speed up 0 on its own and 12 more with extra software built on top of it. None of its tasks showed up in real AI use in April–May 2026.

37/ 100
Moderate
Rank
#450of 923 jobs
US workers
25,950for Conservation Scientists
Median pay
$73,010a year
In real AI use
0 of 17tasks, April–May 2026

Task by task

Each task this job involves, as listed by O*NET, rated on whether a large language model like GPT-4 could cut the time it takes by at least half at the same quality. Tasks marked Seen in real AI use appeared in conversations with Claude in April–May 2026 (Anthropic Economic Index).

  • AI can speed this up on its own: 0 (0%)
  • AI can speed this up with extra software: 12 (71%)
  • Little or no AI speed-up: 5 (29%)
  • Regulate grazing, such as by issuing permits and checking for compliance with standards, and help ranchers plan and organize grazing systems to manage, improve, protect, and maximize the use of rangelands.AI can speed this up with extra software · core task
  • Coordinate with federal land managers and other agencies and organizations to manage and protect rangelands.AI can speed this up with extra software · core task
  • Measure and assess vegetation resources for biological assessment companies, environmental impact statements, and rangeland monitoring programs.AI can speed this up with extra software · core task
  • Study grazing patterns to determine number and kind of livestock that can be most profitably grazed and to determine the best grazing seasons.AI can speed this up with extra software · core task
  • Offer advice to rangeland users on water management, forage production methods, and control of brush.AI can speed this up with extra software · core task
  • Mediate agreements among rangeland users and preservationists as to appropriate land use and management.AI can speed this up with extra software · core task
  • Study rangeland management practices and research range problems to provide sustained production of forage, livestock, and wildlife.AI can speed this up with extra software · core task
  • Tailor conservation plans to landowners' goals, such as livestock support, wildlife, or recreation.AI can speed this up with extra software · core task
  • Develop technical standards and specifications used to manage, protect, and improve the natural resources of range lands and related grazing lands.AI can speed this up with extra software · core task
  • Plan and implement revegetation of disturbed sites.AI can speed this up with extra software · core task
  • Study forage plants and their growth requirements to determine varieties best suited to particular range.AI can speed this up with extra software · core task
  • Develop new and improved instruments and techniques for activities, such as range reseeding.AI can speed this up with extra software · supplemental task
  • Manage forage resources through fire, herbicide use, or revegetation to maintain a sustainable yield from the land.Little or no AI speed-up · core task
  • Maintain soil stability and vegetation for non-grazing uses, such as wildlife habitats and outdoor recreation.Little or no AI speed-up · core task
  • Plan and direct construction and maintenance of range improvements, such as fencing, corrals, stock-watering reservoirs, and soil-erosion control structures.Little or no AI speed-up · core task
  • Manage private livestock operations.Little or no AI speed-up · supplemental task
  • Develop methods for protecting range from fire and rodent damage and for controlling poisonous plants.Little or no AI speed-up · supplemental task

Similar jobs, lower exposure

Related occupations that score at least 10 points lower.

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How to read this score. Exposure measures how much of the work AI could speed up, not whether the job will disappear. A highly exposed job can change shape, with people spending less time on routine tasks and more on the rest. The score counts tasks AI can speed up on its own in full, and tasks that need extra software at half weight.

The ratings come from published research based on GPT-4 (2023). To show what's happening now, each task is also checked against the latest Anthropic Economic Index, which records which tasks people actually use AI for. That data is refreshed automatically when Anthropic publishes a new release. Read the full method.

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