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AI exposure report

Will AI replace Range Managers?

Some of your tasks will be automated. People who use AI will have the edge.

Task exposure to today's AI

39/100

Moderate exposure

This is the occupation's typical task mix. Your own score can be up to 30 points higher or lower depending on how you work: routine share, people contact, judgment and how much you already use AI.

Get your personal score

Will AI replace Range Managers?

Not entirely. Today's AI tools can take on about 39% of the typical work in this occupation, mostly: study rangeland management practices and research range problems to provide sustained production of forage, livestock, and wildlife. The parts that stay human include: 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.; Measure and assess vegetation resources for biological assessment companies, environmental impact statements, and rangeland monitoring programs.; Plan and direct construction and maintenance of range improvements, such as fencing, corrals, stock-watering reservoirs, and soil-erosion control structures..

People who learn to use AI for the automatable parts keep the edge. The 3-phase plan below shows where to start.

Which tasks AI can take on

The largest tasks in this occupation, their share of the working week, and how much of each today's AI tools can do.

TaskAutomatable
Study rangeland management practices and research range problems to provide sustained production of forage, livestock, and wildlife. 68%
Tailor conservation plans to landowners' goals, such as livestock support, wildlife, or recreation. 50%
Offer advice to rangeland users on water management, forage production methods, and control of brush. 47%
Measure and assess vegetation resources for biological assessment companies, environmental impact statements, and rangeland monitoring programs. 45%
Coordinate with federal land managers and other agencies and organizations to manage and protect rangelands. 38%
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. 25%

+ 10 more tasks (43% of the week) in the full test.

Your human edge

  • 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.
  • Measure and assess vegetation resources for biological assessment companies, environmental impact statements, and rangeland monitoring programs.
  • Plan and direct construction and maintenance of range improvements, such as fencing, corrals, stock-watering reservoirs, and soil-erosion control structures.

AI tools to try

ChatGPT / Claude for literature and writingAI research tools (e.g. Elicit, Consensus, Semantic Scholar)Copilot for data analysis code (Python, R)

Related roles

A 3-phase AI learning plan

Phase 1

Faster literature and writing

  • Literature search and summaries with AI, always checked against the papers.
  • Drafts of methods, reports and grant text.
  • Reference management and formatting.

Project

Use AI to summarise 20 papers on sagebrush grazing systems into a cited 5-page literature review for a grazing plan, verifying every claim against the source and logging errors found.

Phase 2

AI for data analysis

  • Analysis code in Python or R written with AI help.
  • Visualisation and statistics explained step by step.
  • Reproducibility: version code and prompts.

Project

Build an AI-written R script that cleans and analyses three years of your transect utilization and cover data, producing trend plots and stats, and version it in a repo with your prompts.

Phase 3

AI as a research method

  • Classification, extraction or modelling with AI on your data.
  • Validate against human labels or ground truth.
  • Ethics, data protection and disclosure of AI use.

Project

Train and validate an AI image classifier on 300 of your own rangeland photos to score species cover, compare results against your field ground-truth plots, and report accuracy plus AI-use disclosure.
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