AI exposure by occupation, O*NET 19-1031.02
Will AI replace Range Managers?
Range Managers: AI can already handle 1 of 16 tasks; the work mostly needs a frontier-tier model.
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Every task, scored
The 16 tasks O*NET 30.3 lists for Range Managers, from most to least exposed. 1 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Measure and assess vegetation resources for biological assessment companies, environmental impact statements, and rangeland monitoring programs. | Estimated | Standard | |
| 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. | Estimated | Standard | |
| Coordinate with federal land managers and other agencies and organizations to manage and protect rangelands. | Estimated | Standard | |
| Plan and direct construction and maintenance of range improvements, such as fencing, corrals, stock-watering reservoirs, and soil-erosion control structures. | Estimated | Frontier | |
| Tailor conservation plans to landowners' goals, such as livestock support, wildlife, or recreation. | Estimated | Frontier | |
| Develop technical standards and specifications used to manage, protect, and improve the natural resources of range lands and related grazing lands. | Estimated | Frontier | |
| Plan and implement revegetation of disturbed sites. | Estimated | Frontier | |
| Develop methods for protecting range from fire and rodent damage and for controlling poisonous plants. | Estimated | Frontier | |
| Study forage plants and their growth requirements to determine varieties best suited to particular range. | Estimated | Efficient | |
| Develop new and improved instruments and techniques for activities, such as range reseeding. | Estimated | Frontier | |
| Study grazing patterns to determine number and kind of livestock that can be most profitably grazed and to determine the best grazing seasons. | Estimated | Efficient | |
| Offer advice to rangeland users on water management, forage production methods, and control of brush. | Estimated | Standard | |
| Mediate agreements among rangeland users and preservationists as to appropriate land use and management. | Estimated | Standard | |
| Study rangeland management practices and research range problems to provide sustained production of forage, livestock, and wildlife. | Estimated | Efficient | |
| Manage forage resources through fire, herbicide use, or revegetation to maintain a sustainable yield from the land. | Estimated | Standard | |
| Maintain soil stability and vegetation for non-grazing uses, such as wildlife habitats and outdoor recreation. | Estimated | Standard |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 16 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 16 of 16. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.
The model tier this role needs
A frontier-tier model or lower covers 100% of the role's importance-weighted task work. 100% of the work is something AI can address at some tier.
Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.
Wages, employment and outlook
- US employment
- 25,950
- Median annual wage
- $73,010
- Middle half of earners
- $57,700 to $91,560
- Projected change, 2024 to 2034
- +3.4%
Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034. BLS publishes these figures by SOC code, so O*NET occupations that share a SOC code show the same figures.
Adjacent roles
The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.
- Conservation Scientists 68% skill overlap, about 12 months to move Exposure59
- Farmers, Ranchers, and Other Agricultural Managers 66% skill overlap, about 12 months to move Exposure46
- Natural Sciences Managers 65% skill overlap, about 13 months to move Exposure56
- Foresters 64% skill overlap, about 13 months to move Exposure40
- Forest and Conservation Technicians 63% skill overlap, about 13 months to move Exposure39
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Range Managers and AI
Will AI replace Range Managers?
AI already handles 1 of the 16 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 42 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +3.4% from 2024 to 2034.
What is the AI exposure of Range Managers?
42 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 16 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 16 are estimated from each task's O*NET work activity.
Which Range Managers tasks can AI already do?
The tasks with the highest exposure are: Measure and assess vegetation resources for biological assessment companies, environmental impact statements, and rangeland monitoring programs. It is the only task that reach 60 or more.
What AI model tier does this role need?
A frontier-tier model or lower covers 100% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.
How many people work as Range Managers, and what do they earn?
25,950 people in the United States, with a median annual wage of $73,010 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +3.4% from 2024 to 2034.
How to cite
Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.
JobRoute (2026). AI exposure: Range Managers. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/range-managers
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