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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Somewhat Resilient
Last Update: 4/23/2026
Your role’s AI Resilience Score is
49.9%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
High
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
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.
This result is backed by strong agreement across multiple data sources.
Contributing sources
AI Resilience Report forForesters
Foresters are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Forestry is labeled as "Somewhat Resilient" because while AI tools like drones and satellite analysis can significantly change how foresters monitor and plan, they still rely on human expertise for decision-making and physical tasks. Foresters will need to adapt by learning to use new technology effectively, but their deep understanding of ecosystems and communities remains irreplaceable.
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Forestry is labeled as "Somewhat Resilient" because while AI tools like drones and satellite analysis can significantly change how foresters monitor and plan, they still rely on human expertise for decision-making and physical tasks. Foresters will need to adapt by learning to use new technology effectively, but their deep understanding of ecosystems and communities remains irreplaceable.
Read full analysisAnalysis of Current AI Resilience
Foresters
Updated Quarterly • Last Update: 2/17/2026
How is AI changing Foresters jobs?
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
How fast is AI adoption growing for Foresters?
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
They manage and protect forests by planning tree growth, preventing fires, and ensuring wildlife habitats are healthy.
Parent Careers
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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
Determine methods of cutting and removing timber with minimum waste and environmental damage.
2
Choose and prepare sites for new trees, using controlled burning, bulldozers, or herbicides to clear weeds, brush, and logging debris.
3
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.
4
Supervise activities of other forestry workers.
5
Direct, and participate in, forest fire suppression.
6
Subcontract with loggers or pulpwood cutters for tree removal and to aid in road layout.
7
Map forest area soils and vegetation to estimate the amount of standing timber and future value and growth.
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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