How much of this occupation’s work can be materially affected by current AI systems.
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
Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.
What is driving the score?
Occupation scores are built from the task mix—not a single prediction about a job title.
Where AI can do more
Routine, digitized, and highly repeatable tasks face the greatest pressure.
- Provide information about, and enforce, regulations, such as those concerning environmental protection, resource utilization, fire safety, and accident prevention.73
- Issue fire permits, timber permits, and other forest use licenses.73
- Train and lead forest and conservation workers in seasonal activities, such as planting tree seedlings, putting out forest fires, and maintaining recreational facilities.70
- Keep records of the amount and condition of logs taken to mills.69
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.
- Patrol park or forest areas to protect resources and prevent damage.01
- Survey, measure, and map access roads and forest areas such as burns, cut-over areas, experimental plots, and timber sales sections.02
- Measure distances, clean sightlines, and record data to help survey crews.03
- Thin and space trees and control weeds and undergrowth, using manual tools and chemicals, or supervise workers performing these tasks.04
- Perform reforestation or forest renewal, including nursery and silviculture operations, site preparation, seeding and tree planting programs, cone collection, and tree improvement.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Range Managers
Closely related work
Compare these careers →Conservation Scientists
Closely related work
Compare these careers →First-Line Supervisors of Farming, Fishing, and Forestry Workers
Related work
Compare these careers →Environmental Scientists and Specialists, Including Health
Related work
Compare these careers →Precision Agriculture Technicians
Related work
Compare these careers →Environmental Restoration Planners
Shares some work
Compare these careers →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.
O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.
