Forester
Several states — including California, Maine, South Carolina, Georgia, and Vermont — legally require registration as a professional forester (an RPF license in California) before someone can perform most commercial forest-management work, closer to a genuine practice-restricting wall than most agricultural roles carry.
In real usage data, AI shows up in this job about as often as the average occupation: not high, not negligible.
Technical detail
Based on Microsoft's "Working with AI" study of real Copilot conversations mapped to O*NET tasks (arXiv 2507.07935): Foresters scored 0.070 on AI applicability, within one standard deviation of the cross-occupation mean (0.159, stdev 0.098) across all 785 SOC codes studied — banded here as Medium real-world AI usage relative to other occupations.
What a forester actually does
Foresters manage public and private forest land for a mix of timber production, conservation, wildlife habitat, and recreation, and much of the job is judgment and negotiation rather than fieldwork alone. Foresters walk timber stands to estimate standing volume and value, map soils and vegetation, and set long-term management plans that balance harvest income against soil, water, and habitat health decades into the future.
When a landowner wants to sell timber, a forester negotiates the harvest agreement, writes the timber-sale contract, and inspects the logging operation for compliance with the plan and with state forestry regulations — a document buyers, regulators, and landowners all rely on as accurate. Foresters also run nurseries and reforestation programs, plan controlled burns and pest-management responses, and supervise forestry technicians and logging crews in the field.
The specific mix of desk work, field inventory, and negotiation varies by employer: a state or federal forester leans more toward regulatory compliance and public-land management, while an industrial or consulting forester spends more time on timber-sale economics for private landowners and companies.
Why it reads this way
Several states — including California, Maine, South Carolina, Georgia, and Vermont — legally require registration as a professional forester (an RPF license in California) before someone can perform most commercial forest-management work, closer to a genuine practice-restricting wall than most agricultural roles carry. Real AI tools are moving fast on the inventory side of the job: Treeswift's LiDAR-equipped drone swarms conduct automated tree-by-tree inventory for named customers including Weyerhaeuser, Molpus Woodlands Group, and Superior Pine Products, with $15.
6 million raised as of April 2025 and 'digital twin' forest-data tools reportedly feeding directly into Weyerhaeuser's harvest-value decisions. But these tools measure and map — they don't negotiate a multi-year timber-sale contract with a landowner, sign off on a harvest plan that regulators and mills both rely on, or make the site-specific call about a wildlife-habitat trade-off that data alone can't resolve.
Foresters also carry a form of legal liability that many roles on this site don't: their appraisal or compliance plan is the document a buyer or regulator acts on. This is also the one occupation in this batch of ten with positive BLS-projected growth (3% through 2034, versus flat or declining projections for the other nine), a real, separate signal alongside the licensing and liability protections above.
Skills this role draws on
We don't yet have task-by-task time-share data for this occupation, so we can't show which specific tasks carry the exposure score above. This is the real skill set instead.
Typical salary range (USD)
$50,790–$109,700
Average: $76,400/yr
Range source: BLS Occupational Employment and Wage Statistics, May 2025
Average source: BLS Occupational Employment and Wage Statistics, Foresters (19-1032), May 2025 (Median Annual Wage)
Head-to-head comparisons
Forester's structuralScore of 47/100 sits just below the site's Safe threshold, reflecting real LLM overlap with the desk-work side of the job (mapping, report-writing, compliance documentation). But category 2 evidence is unusually strong for this batch: several states — California, Maine, South Carolina, Georgia, and Vermont — legally require registration as a professional forester (an RPF license in California) before someone can perform most commercial forest-management work, a genuine practice-restricting wall most agricultural roles don't carry. Real AI tools are moving fast on the inventory side specifically: Treeswift's LiDAR drone swarms conduct automated tree-by-tree inventory for named customers including Weyerhaeuser, Molpus Woodlands Group, and Superior Pine Products, with 'digital twin' data reportedly feeding into Weyerhaeuser's harvest-value decisions. But these tools measure and map — they don't negotiate a multi-year timber-sale contract with a landowner or sign off on a harvest plan that regulators and mills rely on as accurate, and a forester carries real legal liability for that sign-off that most jobs on this site don't. Forester is also the one occupation in this ten-job batch with positive BLS-projected growth (3% through 2034, versus flat or declining projections for the other nine) — a real, separate signal alongside the licensing and liability protections above.
This is a researched judgment (checklist v1.2), not a statistical measurement — it sits alongside, not instead of, the structural exposure signal above. Next scheduled review: 2027-02-10.
Sources (7)
- https://www.onetonline.org/link/localwages/19-1032.00
- https://www.bls.gov/ooh/life-physical-and-social-science/conservation-scientists.htm
- https://www.therobotreport.com/treeswift-automate-forestry-swarms-drones/
- https://lidarnews.com/ai-and-lidar-in-forestry-the-future-of-forest-data/
- https://www.eforester.org/Main/Certification_Education/Licensure/Main/Certification/Licensure.aspx?hkey=a0c534f7-c6da-4749-ad5f-e37da299b97c
- https://asbrf.alabama.gov/forester-information/
- https://www.onetonline.org/link/summary/19-1032.00
Data sources & methodology
Salary data: BLS Occupational Employment and Wage Statistics, May 2025. Min/max figures represent the 10th–90th percentile annual wage range across the United States. Average figure sourced separately: BLS Occupational Employment and Wage Statistics, Foresters (19-1032), May 2025 (Median Annual Wage).
Automation Risk Score: Based on O*NET occupational analysis (19-1032.00) evaluating task complexity, physical requirements, social intelligence, and environmental variability. Methodology based on research from Frey & Osborne (Oxford, 2017).
Growth projections: 3% (2024-2034), based on BLS Occupational Outlook Handbook.