How likely is AI to replace Forest and Conservation Workers?

Published research puts Forest and Conservation Workers at 11 out of 100 for AI displacement risk, in the lower risk band. The number is a weighted consensus of 7 research sources and describes the typical version of the role, not any individual.

Do researchers agree on the risk for Forest and Conservation Workers?

Broadly, yes. Individual estimates for Forest and Conservation Workers run from 6 to 19 out of 100 across the 7 sources behind this score, a fairly tight range. More recent and higher confidence studies carry more weight in the final number.

Which agriculture roles face similar AI exposure?

The closest published agriculture roles to Forest and Conservation Workers by score are Fallers (11/100), Fishing and Hunting Workers (9/100), and Animal Breeders (16/100). Each has its own page with the research behind its number.

Occupation baseline · Research consensus

Will AI replace Forest and Conservation Workers?

Lower risk

Baseline AI displacement risk for Forest and Conservation Workers, aggregated from 7 research sources.

What this score means

Forest and Conservation Workers is among the least exposed roles in Agriculture. Most of what the job involves still sits outside what current AI can do, even as the tools around it keep changing. At 11 out of 100 it scores 8 points below the Agriculture average of 19. Across the 7 sources behind this baseline, individual estimates run from 6 to 19, so the score is a weighted consensus rather than any single figure.

The number is a consensus estimate for the typical version of the role, built from published academic and industry research scored occupation by occupation. It is not a prediction about any individual. How scoring works

What this job actually involves

Exposure follows the work itself rather than the job title, so it is worth seeing what the role is made of. These are the tasks O*NET records for Forest and Conservation Workers, most central first, showing 12 of 17.

01Check equipment to ensure that it is operating properly.
02Fight forest fires or perform prescribed burning tasks under the direction of fire suppression officers or forestry technicians.
03Perform fire protection or suppression duties, such as constructing fire breaks or disposing of brush.
04Confer with other workers to discuss issues, such as safety, cutting heights, or work needs.
05Maintain tallies of trees examined and counted during tree marking or measuring efforts.
06Explain or enforce regulations regarding camping, vehicle use, fires, use of buildings, or sanitation.
07Operate skidders, bulldozers, or other prime movers to pull a variety of scarification or site preparation equipment over areas to be regenerated.
08Spray or inject vegetation with insecticides to kill insects or to protect against disease or with herbicides to reduce competing vegetation.
09Thin or space trees, using power thinning saws.
10Identify diseased or undesirable trees and remove them, using power saws or hand saws.
11Select or cut trees according to markings or sizes, types, or grades.
12Prune or shear tree tops or limbs to control growth, increase density, or improve shape.

Task statements from O*NET by the National Center for O*NET Development, used under CC BY 4.0. The tasks are descriptive; the exposure score above is ours.

The research behind this score

This baseline aggregates 7 research sources that scored Forest and Conservation Workers for AI and automation exposure. More recent, higher confidence studies carry more weight in the final number.

01Anthropic Economic Index 2026 - AI Task Exposure · 2026Anthropic
02Crashing Waves vs. Rising Tides: Preliminary Findings on AI Automation from Thousands of Worker Evaluations of Labor Market Tasks · 2026Mertens, Thompson et al., MIT FutureTech (2026)
03Global Automation Atlas: Task Substitution Exposure by Occupation · 2026Garg, Crosta, Baier (2026), arXiv:2605.17086
04The AI Jobs Transition Framework: Mapping AI's Near-Term Impact on Jobs · 2026OpenAI Economic Research (2026)
05Working with AI: Measuring the Applicability of Generative AI to Occupations · 2025Tomlinson, Jaffe et al., Microsoft Research (2025)
06GPTs are GPTs: Labor Market Impact Potential of LLMs · 2024Eloundou, Manning, Mishkin, Rock (Science, 2024)
07AI Occupational Exposure to Language Modeling · 2023Felten, Raj, Seamans (2023)

Common questions

How likely is AI to replace Forest and Conservation Workers?: Published research puts Forest and Conservation Workers at 11 out of 100 for AI displacement risk, in the lower risk band. The number is a weighted consensus of 7 research sources and describes the typical version of the role, not any individual.
Do researchers agree on the risk for Forest and Conservation Workers?: Broadly, yes. Individual estimates for Forest and Conservation Workers run from 6 to 19 out of 100 across the 7 sources behind this score, a fairly tight range. More recent and higher confidence studies carry more weight in the final number.
Which agriculture roles face similar AI exposure?: The closest published agriculture roles to Forest and Conservation Workers by score are Fallers (11/100), Fishing and Hunting Workers (9/100), and Animal Breeders (16/100). Each has its own page with the research behind its number.

Also covers

Blister Rust Eradicator · Box Chipper · Box Cutter · Brusher · Chemical Sprayer · Chopper · Christmas Tree Farm Worker · Christmas Tree Farmer and related titles

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Informational guidance based on published research, not professional career or financial advice. Scores update as new research is ingested.