BETA
Updated: Feb 6
BETA
Updated: Feb 6
Evolving
Last Update: 11/21/2025
Your role’s AI Resilience Score is
58.2%
Median Score
Changing Fast
Evolving
Stable
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
Foresters
They manage and protect forests by planning tree growth, preventing fires, and ensuring wildlife habitats are healthy.
Summary
The career of a forester is considered "Stable" because, while AI and technology are being used to help with tasks like monitoring forests and detecting fires, the core responsibilities still require human skills. Foresters need to make important decisions about how to manage forests, which relies on their judgment and local knowledge.
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View analysisChat with CoachLatest newsMore career infoSummary
The career of a forester is considered "Stable" because, while AI and technology are being used to help with tasks like monitoring forests and detecting fires, the core responsibilities still require human skills. Foresters need to make important decisions about how to manage forests, which relies on their judgment and local knowledge.
Read full analysisContributing Sources
AI Resilience
All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.
CareerVillage.org's AI Resilience Analysis
AI Task Resilience
Evolving66.7%
66.7%
Microsoft's Working with AI
AI Applicability
Stable83.0%
83.0%
Will Robots Take My Job
Automation Resilience
Stable73.9%
73.9%
Low Demand
Labor Market Outlook
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
1.2%
Growth Percentile:
33.3%
Annual Openings:
1.1
Annual Openings Pct:
12.3%
Analysis of Current AI Resilience
Foresters
Updated Quarterly • Last Update: 11/21/2025
State of Automation & Augmentation
Forestry work is starting to use more tech, but machines usually help rather than fully replace people. For example, satellites and AI are now used to watch forests from space. They can give near-real-time maps of tree cover and catch illegal logging or disease from afar [1].
Drones (small flying robots) also survey forests and even plant trees. One project found seed-dropping drones could replant a hectare in 2 hours, much faster than people by hand [2]. AI helps spot wildfires early too – cameras and satellite images feed AI systems that find smoke, giving foresters a faster alert [3] [1].
These tools make data gathering quicker and safer for foresters [1] [2].
Even so, many core tasks still rely on human skill. Deciding how and where to cut trees with minimum waste requires judgment and local knowledge; foresters also plan long-term projects and write reports by hand [4] [2]. Today’s AI tools mostly do the routine work of mapping and monitoring, but people are the ones who interpret results and make the final plans.
In short, technology augments the forester: giving more information and reducing repetitive work, but not taking over expert decision-making [1] [4].
Sources
AI Adoption
New AI tools are slowly being adopted in forestry for practical reasons. They can cut costs and improve safety by doing surveys and monitoring where it’s hard for people to go [2] [3]. For instance, fire agencies in California and researchers abroad are testing AI camera networks to spot fires, and NGOs are using planting drones to restore forests [3] [2].
Big government programs and companies often fund these projects, because protecting forests (and preventing expensive disasters) has economic value [3] [1].
However, high-tech equipment and data systems can be expensive and require training, so smaller forestry operations may move more cautiously. Also, many people trust a trained forester to certify forest health and follow rules, so laws and customs still keep humans “in the loop.” Socially, most communities welcome tools that help protect nature. Overall, experts agree that AI in forestry is more about augmenting the work (helping foresters do their jobs) than replacing it [1] [3].
With experience and local knowledge still so important, foresters’ roles remain valuable even as they gain new computer-assisted tools.
Sources
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More Career Info
Career: Foresters
Parent Careers
Similar Careers
Employment & Wage Data
Median Wage
$70,660
Jobs (2024)
13,800
Growth (2024-34)
+1.2%
Annual Openings
1,100
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Direct, and participate in, forest fire suppression.
2
Plan and direct construction and maintenance of recreation facilities, fire towers, trails, roads and bridges, ensuring that they comply with guidelines and regulations set for forested public lands.
3
Establish short- and long-term plans for management of forest lands and forest resources.
4
Supervise activities of other forestry workers.
5
Choose and prepare sites for new trees, using controlled burning, bulldozers, or herbicides to clear weeds, brush, and logging debris.
6
Plan and supervise forestry projects, such as determining the type, number and placement of trees to be planted, managing tree nurseries, thinning forest and monitoring growth of new seedlings.
7
Plan and direct forest surveys and related studies and prepare reports and recommendations.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
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