BETA
Updated: Mar 24
BETA
Updated: Mar 24
Evolving
Last Update: 3/13/2026
Your role’s AI Resilience Score is
66.7%
Median Score
Changing Fast
Evolving
Stable
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
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.
This role is evolving
Forestry is labeled as "Evolving" because while traditional hands-on work is still crucial, AI tools are increasingly being integrated to enhance how foresters plan and monitor forests. Drones and satellite imagery help foresters quickly map and identify issues in forests, allowing them to make more informed decisions.
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Forestry is labeled as "Evolving" because while traditional hands-on work is still crucial, AI tools are increasingly being integrated to enhance how foresters plan and monitor forests. Drones and satellite imagery help foresters quickly map and identify issues in forests, allowing them to make more informed decisions.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Evolving68.8%
68.8%
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Stable83.0%
83.0%
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Stable77.5%
77.5%
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
Evolving39.1%
39.1%
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:
1,100
Annual Openings Pct:
12.3%
Analysis of Current AI Resilience
Foresters
Updated Quarterly • Last Update: 2/17/2026
What's changing and what's not
Forestry work is still mostly hands-on, but new tools help foresters do it better. For example, drones and satellites now map forests and spot problems faster than people alone [1] [2]. AI programs can count trees, check health, or even flag illegal logging by analyzing images [3] [1].
In these “monitoring” tasks, AI gives quick data, but humans still inspect and decide how to act. Clearing land and planting remains physical work. Controlled burns or bulldozers aren’t done by robots yet, though even spraying weeds can now use drone-guided sprayers [2].
Foresters use AI tools mainly for planning and analysis. Smart models (like the global MATRIX growth model) learn from field data and satellites to predict how forests will grow [4]. Software like SIMANFOR helps plan planting and harvesting under different scenarios.
In other words, AI often augments the forester: giving better maps, predictions, or summaries [3] [5]. Experts note that trusted AI in forestry works best with a “human-in-the-loop,” where the forester’s experience guides the technology [5] [3].
Sources
AI in the real world
New forestry AI tools are emerging, but will spread slowly. Drones and satellite analysis exist, but require good data and trained teams to use them [3] [1]. Buying high-tech equipment and learning to use AI can be expensive for government or small forestry groups.
In remote woods, internet or GPS might be weak, making some AI tools hard to use. On the other hand, AI can save time and help in places with few workers. For example, appliances that check thousands of trees quickly can free foresters to focus on important decisions [1] [2].
People also care about safety and nature. Communities trust human judgment on forests, so fully automatic decisions may face caution. Laws and rules are being updated for drones and data use [2].
In the end, foresters’ knowledge of ecosystems, trees, and communities remains essential. AI is another tool – not a replacement – and can make the job more interesting and effective for future forestry professionals [5] [3].
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
Procure timber from private landowners.
2
Negotiate terms and conditions of agreements and contracts for forest harvesting, forest management and leasing of forest lands.
3
Subcontract with loggers or pulpwood cutters for tree removal and to aid in road layout.
4
Study different tree species' classification, life history, light and soil requirements, adaptation to new environmental conditions and resistance to disease and insects.
5
Direct, and participate in, forest fire suppression.
6
Analyze effect of forest conditions on tree growth rates and tree species prevalence and the yield, duration, seed production, growth viability, and germination of different species.
7
Plan cutting programs and manage timber sales from harvested areas, assisting companies to achieve production goals.
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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