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Science & Research · Updated Aug 2026

Range Managers

Research or study range land management practices to provide sustained production of forage, livestock, and wildlife.

JVS 2.0.0-phase4b
AI Exposure
70/100
High

How much of this occupation’s work can be materially affected by current AI systems.

Replacement Risk
49/100
Moderate

How likely exposure is to translate into reduced human demand.

Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured

Evidence quality
Confidence83/100
Task coverage86%

Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.

Task-level evidence

What is driving the score?

Occupation scores are built from the task mix—not a single prediction about a job title.

JVS 2.0.0-phase4b
TaskImportanceAI impactExposure
Manage forage resources through fire, herbicide use, or revegetation to maintain a sustainable yield from the land.High
71
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.High
65
Coordinate with federal land managers and other agencies and organizations to manage and protect rangelands.High
69
Maintain soil stability and vegetation for non-grazing uses, such as wildlife habitats and outdoor recreation.Medium
73
Study rangeland management practices and research range problems to provide sustained production of forage, livestock, and wildlife.Medium
71
Study grazing patterns to determine number and kind of livestock that can be most profitably grazed and to determine the best grazing seasons.Medium
72
Offer advice to rangeland users on water management, forage production methods, and control of brush.Medium
71
Tailor conservation plans to landowners' goals, such as livestock support, wildlife, or recreation.Medium
72
Measure and assess vegetation resources for biological assessment companies, environmental impact statements, and rangeland monitoring programs.Medium
59
Plan and direct construction and maintenance of range improvements, such as fencing, corrals, stock-watering reservoirs, and soil-erosion control structures.Medium
71
Mediate agreements among rangeland users and preservationists as to appropriate land use and management.Medium
72
Develop technical standards and specifications used to manage, protect, and improve the natural resources of range lands and related grazing lands.Medium
71
Most exposed

Where AI can do more

Routine, digitized, and highly repeatable tasks face the greatest pressure.

  1. Maintain soil stability and vegetation for non-grazing uses, such as wildlife habitats and outdoor recreation.73
  2. Study grazing patterns to determine number and kind of livestock that can be most profitably grazed and to determine the best grazing seasons.72
  3. Tailor conservation plans to landowners' goals, such as livestock support, wildlife, or recreation.72
  4. Mediate agreements among rangeland users and preservationists as to appropriate land use and management.72
Hardest to automate

Where people still matter

These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.

  1. Manage forage resources through fire, herbicide use, or revegetation to maintain a sustainable yield from the land.01
  2. 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.02
  3. Coordinate with federal land managers and other agencies and organizations to manage and protect rangelands.03
  4. Maintain soil stability and vegetation for non-grazing uses, such as wildlife habitats and outdoor recreation.04
  5. Study rangeland management practices and research range problems to provide sustained production of forage, livestock, and wildlife.05
Where else this work leads

Related occupations

Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.

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Beyond AI capability

Adoption and labour-market outlook

Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.

Human dependency89
Physical dependency57
Adoption pressure54
Labour-market resilience69
Methodology & sources

O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.

Confidence83/100
CalculatedAug 21, 2026
Read methodology →